{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div style=\"width:100%; background-color: #D9EDF7; border: 1px solid #CFCFCF; text-align: left; padding: 10px;\">\n",
    "      <b>Conventional Power Plants: Power Plants in Germany</b>\n",
    "      <ul>\n",
    "        <li><a href=\"main.ipynb\">Main Notebook</a></li>\n",
    "        <li>Processing notebook for German power plant</li>\n",
    "        <li><a href=\"download_and_process_EU.ipynb\">Processing notebook for European power plants</a></li>\n",
    "      </ul>\n",
    "      <br>This notebook is part of the <a href=\"http://data.open-power-system-data.org/DATA PACKAGE NAME HERE\"> Data package name here Data Package</a> of <a href=\"http://open-power-system-data.org\">Open Power System Data</a>.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Power Plants in Germany"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This file covers german power plants. It downloads the power plant list from the German Federal Network Agency (BNetzA) and augments it with more information."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table of Contents\n",
    "* [1. Power Plants in Germany](#1.-Power-Plants-in-Germany)\n",
    "* [2. Prepare the environment](#2.-Prepare-the-environment)\n",
    "* [3. Download settings](#3.-Download-settings)\n",
    "\t* [3.1 Choose download location](#3.1-Choose-download-location)\n",
    "* [4. Define functions](#4.-Define-functions)\n",
    "* [5. Downloads](#5.-Downloads)\n",
    "\t* [5.1 Download the BNetzA power plant list](#5.1-Download-the-BNetzA-power-plant-list)\n",
    "\t* [5.2 Download the Uba Plant list](#5.2-Download-the-Uba-Plant-list)\n",
    "* [6. Translate contents](#6.-Translate-contents)\n",
    "\t* [6.1 Columns](#6.1-Columns)\n",
    "\t* [6.2 Fuel types](#6.2-Fuel-types)\n",
    "\t* [6.3 Power plant status](#6.3-Power-plant-status)\n",
    "\t* [6.4 CHP Capability](#6.4-CHP-Capability)\n",
    "\t* [6.5 EEG](#6.5-EEG)\n",
    "\t* [6.6 UBA Columns](#6.6-UBA-Columns)\n",
    "* [7. Process data](#7.-Process-data)\n",
    "\t* [7.1 Set index to the BNetzA power plant ID](#7.1-Set-index-to-the-BNetzA-power-plant-ID)\n",
    "\t* [7.2 Merge data from UBA List](#7.2-Merge-data-from-UBA-List)\n",
    "\t\t* [7.2.1 case 1-1](#7.2.1-case-1-1)\n",
    "\t\t* [7.2.2 case n-1](#7.2.2-case-n-1)\n",
    "\t\t* [7.2.3 case 1-n](#7.2.3-case-1-n)\n",
    "\t\t* [7.2.4 Merge into plantlist](#7.2.4-Merge-into-plantlist)\n",
    "\t* [7.3 Delete fuels not in focus](#7.3-Delete-fuels-not-in-focus)\n",
    "\t* [7.4 Add Columns for shutdown and retrofit](#7.4-Add-Columns-for-shutdown-and-retrofit)\n",
    "\t* [7.5 Convert input colums to usable data types](#7.5-Convert-input-colums-to-usable-data-types)\n",
    "\t* [7.6 Identify generation technology](#7.6-Identify-generation-technology)\n",
    "\t\t* [7.6.1 Process technology information from UBA list](#7.6.1-Process-technology-information-from-UBA-list)\n",
    "\t\t* [7.6.2 Identify generation technology based on BNetzA information](#7.6.2-Identify-generation-technology-based-on-BNetzA-information)\n",
    "\t* [7.7 Add country code](#7.7-Add-country-code)\n",
    "\t* [7.8 Add efficiency data](#7.8-Add-efficiency-data)\n",
    "\t\t* [7.8.1 Efficiencies from research](#7.8.1-Efficiencies-from-research)\n",
    "\t\t\t* [7.8.1.1 Import data](#7.8.1.1-Import-data)\n",
    "\t\t\t* [7.8.1.2 Plot efficiencies by year of commissioning](#7.8.1.2-Plot-efficiencies-by-year-of-commissioning)\n",
    "\t\t\t* [7.8.1.3 Determine least-squares approximation based on researched data (planned)](#7.8.1.3-Determine-least-squares-approximation-based-on-researched-data-%28planned%29)\n",
    "\t\t\t* [7.8.1.4 Apply efficiency approximation from least squares approximation (planned)](#7.8.1.4-Apply-efficiency-approximation-from-least-squares-approximation-%28planned%29)\n",
    "\t\t* [7.8.2 Efficiencies from literature](#7.8.2-Efficiencies-from-literature)\n",
    "\t\t\t* [7.8.2.1 Import data](#7.8.2.1-Import-data)\n",
    "\t\t\t* [7.8.2.2 Apply efficiency approximation from literature](#7.8.2.2-Apply-efficiency-approximation-from-literature)\n",
    "\t* [7.9 Add geodata](#7.9-Add-geodata)\n",
    "\t* [7.10 Allocate energy source levels](#7.10-Allocate-energy-source-levels)\n",
    "* [8. Define final output](#8.-Define-final-output)\n",
    "\t* [8.1 Round values](#8.1-Round-values)\n",
    "\t* [8.2 Verification](#8.2-Verification)\n",
    "\t\t* [8.2.1 Capacities by plant status](#8.2.1-Capacities-by-plant-status)\n",
    "\t\t* [8.2.2 Power plant age](#8.2.2-Power-plant-age)\n",
    "\t\t* [8.2.3 Block size vs year of commissioning](#8.2.3-Block-size-vs-year-of-commissioning)\n",
    "\t* [8.3 Logical checks](#8.3-Logical-checks)\n",
    "\t\t* [8.3.1 Every power plant needs a capacity](#8.3.1-Every-power-plant-needs-a-capacity)\n",
    "\t\t* [8.3.2 Commissioning Dates](#8.3.2-Commissioning-Dates)\n",
    "\t\t* [8.3.3 Compare UBA and BNetzA data](#8.3.3-Compare-UBA-and-BNetzA-data)\n",
    "\t\t\t* [8.3.3.1 Postcodes of BNetzA and UBA lists should match](#8.3.3.1-Postcodes-of-BNetzA-and-UBA-lists-should-match)\n",
    "\t\t\t* [8.3.3.2 Compare Installed capacities](#8.3.3.2-Compare-Installed-capacities)\n",
    "* [9. Result export](#10.-Result-export)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Prepare the environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import all functions from external file\n",
    "from download_and_process_DE_functions import *\n",
    "\n",
    "# Jupyter functions\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Download settings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.1 Choose download location"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The original data can either be downloaded from the original data sources as specified below or from the opsd-Server. Default option is to download from the original sources as the aim of the project is to stay as close to original sources as possible. However, if problems with downloads e.g. due to changing urls occur, you can still run the script with the original data from the opsd_server."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "download_from = 'original_sources'\n",
    "#download_from = 'opsd_server' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "if download_from == 'original_sources':\n",
    "    # BNetzA Power plant list\n",
    "    url_bnetza = ('http://www.bundesnetzagentur.de/SharedDocs/Downloads/DE/'\n",
    "              'Sachgebiete/Energie/Unternehmen_Institutionen/Versorgungssicherheit/'\n",
    "              'Erzeugungskapazitaeten/Kraftwerksliste/Kraftwerksliste_CSV.csv'\n",
    "              '?__blob=publicationFile&v=10')\n",
    "\n",
    "    # UBA Power plant list\n",
    "    url_uba = ('https://www.umweltbundesamt.de/sites/default/files/medien/'\n",
    "               '372/dokumente/kraftwerke_de_ab_100_mw_0.xls')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "if download_from == 'opsd_server':\n",
    "    # Specify direction to original_data folder on the opsd data server\n",
    "    # BNetzA Power plant list\n",
    "    url_bnetza = 'http://data.open-power-system-data.org/conventional_power_plants/'\n",
    "    url_bnetza = url_bnetza + '2020-10-01'\n",
    "    url_bnetza = url_bnetza +'/original_data/Kraftwerksliste_CSV.csv'\n",
    "    \n",
    "    # UBA Power plant list\n",
    "    url_uba = 'http://data.open-power-system-data.org/conventional_power_plants/'\n",
    "    url_uba = url_uba + '2020-10-01'\n",
    "    url_uba = url_uba +'/original_data/kraftwerke-de-ab-100-mw_0.xls'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Define functions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Functions used multiple times within this script are now located in a separate file called download_and_process_DE_functions.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5. Downloads"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.1 Download the BNetzA power plant list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This section downloads the BNetzA power plant list and converts it to a pandas data frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "01 Oct 2020 12:32:58 - root - INFO - Downloading file Kraftwerksliste_CSV.csv\n"
     ]
    },
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Kraftwerksnummer Bundesnetzagentur</th>\n",
       "      <th>Unternehmen</th>\n",
       "      <th>Kraftwerksname</th>\n",
       "      <th>PLZ\\n(Standort Kraftwerk)</th>\n",
       "      <th>Ort\\n(Standort Kraftwerk)</th>\n",
       "      <th>Straße und Hausnummer (Standort Kraftwerk)</th>\n",
       "      <th>Bundesland</th>\n",
       "      <th>Blockname</th>\n",
       "      <th>Datum der Aufnahme der kommerziellen Stromeinspeisung der Erzeugungseinheit [Datum/jahr]</th>\n",
       "      <th>Kraftwerksstatus \\n(in Betrieb/\\nvorläufig stillgelegt/\\nsaisonale Konservierung\\nReservekraftwerk/\\nSonderfall)</th>\n",
       "      <th>Energieträger</th>\n",
       "      <th>Spezifizierung \"Mehrere Energieträger\" und \"Sonstige Energieträger\" - Hauptbrennstoff</th>\n",
       "      <th>Spezifizierung \"Mehrere Energieträger\" - Zusatz- / Ersatzbrennstoffe</th>\n",
       "      <th>Auswertung\\nEnergieträger (Zuordnung zu einem Hauptenergieträger bei Mehreren Energieträgern)</th>\n",
       "      <th>Förderberechtigt nach EEG\\n(ja/nein)</th>\n",
       "      <th>Wärmeauskopplung (KWK)\\n(ja/nein)</th>\n",
       "      <th>Netto-Nennleistung (elektrische Wirkleistung) in MW</th>\n",
       "      <th>Bezeichnung Verknüpfungspunkt (Schaltanlage) mit dem Stromnetz der Allgemeinen Versorgung gemäß Netzbetreiber</th>\n",
       "      <th>Netz- oder Umspannebene des Anschlusses</th>\n",
       "      <th>Name Stromnetzbetreiber</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BNA0001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52074</td>\n",
       "      <td>Aachen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nordrhein-Westfalen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1997</td>\n",
       "      <td>in Betrieb</td>\n",
       "      <td>Windenergie (Onshore-Anlage)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Windenergie (Onshore-Anlage)</td>\n",
       "      <td>Ja</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>INFRAWEST GmbH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BNA1888</td>\n",
       "      <td>STAWAG Energie GmbH</td>\n",
       "      <td>Windpark Aachen Nord GmbH &amp; Co. KG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Aachen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nordrhein-Westfalen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>08.06.2017</td>\n",
       "      <td>in Betrieb</td>\n",
       "      <td>Windenergie (Onshore-Anlage)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Windenergie (Onshore-Anlage)</td>\n",
       "      <td>Ja</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BNA1011</td>\n",
       "      <td>Breeze Three Energy GmbH &amp; Co. KG</td>\n",
       "      <td>Windpark Waldhausen</td>\n",
       "      <td>73433</td>\n",
       "      <td>Aalen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.12.2006</td>\n",
       "      <td>in Betrieb</td>\n",
       "      <td>Windenergie (Onshore-Anlage)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Windenergie (Onshore-Anlage)</td>\n",
       "      <td>Ja</td>\n",
       "      <td>Nein</td>\n",
       "      <td>14.0</td>\n",
       "      <td>DE0010107343300000000000000287689 &amp; DE 0010107...</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>Netzgesellschaft Ostwürttemberg DonauRies GmbH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BNA1938</td>\n",
       "      <td>Papierfabrik Palm GmbH &amp; Co. KG</td>\n",
       "      <td>KWK-Anlage Neukochen</td>\n",
       "      <td>73432</td>\n",
       "      <td>Aalen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>Neukochen 10</td>\n",
       "      <td>01.01.1960</td>\n",
       "      <td>in Betrieb</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Nein</td>\n",
       "      <td>Ja</td>\n",
       "      <td>15.0</td>\n",
       "      <td>UW Erlau</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>Stadtwerke Aalen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BNA0002</td>\n",
       "      <td>ecoJoule construct GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28832</td>\n",
       "      <td>Achim</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Niedersachsen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2002</td>\n",
       "      <td>in Betrieb</td>\n",
       "      <td>Windenergie (Onshore-Anlage)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Windenergie (Onshore-Anlage)</td>\n",
       "      <td>Ja</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>USp. Hoch- / Mittelspannung (HS/MS)</td>\n",
       "      <td>EWE NETZ GmbH</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "  Kraftwerksnummer Bundesnetzagentur                        Unternehmen  \\\n",
       "0                            BNA0001                                NaN   \n",
       "1                            BNA1888                STAWAG Energie GmbH   \n",
       "2                            BNA1011  Breeze Three Energy GmbH & Co. KG   \n",
       "3                            BNA1938    Papierfabrik Palm GmbH & Co. KG   \n",
       "4                            BNA0002            ecoJoule construct GmbH   \n",
       "\n",
       "                       Kraftwerksname PLZ\\n(Standort Kraftwerk)  \\\n",
       "0                                 NaN                     52074   \n",
       "1  Windpark Aachen Nord GmbH & Co. KG                       NaN   \n",
       "2                 Windpark Waldhausen                     73433   \n",
       "3                KWK-Anlage Neukochen                     73432   \n",
       "4                                 NaN                     28832   \n",
       "\n",
       "  Ort\\n(Standort Kraftwerk) Straße und Hausnummer (Standort Kraftwerk)  \\\n",
       "0                    Aachen                                        NaN   \n",
       "1                    Aachen                                        NaN   \n",
       "2                     Aalen                                        NaN   \n",
       "3                     Aalen                                        NaN   \n",
       "4                     Achim                                        NaN   \n",
       "\n",
       "            Bundesland     Blockname  \\\n",
       "0  Nordrhein-Westfalen           NaN   \n",
       "1  Nordrhein-Westfalen           NaN   \n",
       "2    Baden-Württemberg           NaN   \n",
       "3    Baden-Württemberg  Neukochen 10   \n",
       "4        Niedersachsen           NaN   \n",
       "\n",
       "  Datum der Aufnahme der kommerziellen Stromeinspeisung der Erzeugungseinheit [Datum/jahr]  \\\n",
       "0                                               1997                                         \n",
       "1                                         08.06.2017                                         \n",
       "2                                         30.12.2006                                         \n",
       "3                                         01.01.1960                                         \n",
       "4                                               2002                                         \n",
       "\n",
       "  Kraftwerksstatus \\n(in Betrieb/\\nvorläufig stillgelegt/\\nsaisonale Konservierung\\nReservekraftwerk/\\nSonderfall)  \\\n",
       "0                                         in Betrieb                                                                 \n",
       "1                                         in Betrieb                                                                 \n",
       "2                                         in Betrieb                                                                 \n",
       "3                                         in Betrieb                                                                 \n",
       "4                                         in Betrieb                                                                 \n",
       "\n",
       "                  Energieträger  \\\n",
       "0  Windenergie (Onshore-Anlage)   \n",
       "1  Windenergie (Onshore-Anlage)   \n",
       "2  Windenergie (Onshore-Anlage)   \n",
       "3                        Erdgas   \n",
       "4  Windenergie (Onshore-Anlage)   \n",
       "\n",
       "  Spezifizierung \"Mehrere Energieträger\" und \"Sonstige Energieträger\" - Hauptbrennstoff  \\\n",
       "0                                                NaN                                      \n",
       "1                                                NaN                                      \n",
       "2                                                NaN                                      \n",
       "3                                                NaN                                      \n",
       "4                                                NaN                                      \n",
       "\n",
       "  Spezifizierung \"Mehrere Energieträger\" - Zusatz- / Ersatzbrennstoffe  \\\n",
       "0                                                NaN                     \n",
       "1                                                NaN                     \n",
       "2                                                NaN                     \n",
       "3                                                NaN                     \n",
       "4                                                NaN                     \n",
       "\n",
       "  Auswertung\\nEnergieträger (Zuordnung zu einem Hauptenergieträger bei Mehreren Energieträgern)  \\\n",
       "0                       Windenergie (Onshore-Anlage)                                              \n",
       "1                       Windenergie (Onshore-Anlage)                                              \n",
       "2                       Windenergie (Onshore-Anlage)                                              \n",
       "3                                             Erdgas                                              \n",
       "4                       Windenergie (Onshore-Anlage)                                              \n",
       "\n",
       "  Förderberechtigt nach EEG\\n(ja/nein) Wärmeauskopplung (KWK)\\n(ja/nein)  \\\n",
       "0                                   Ja                               NaN   \n",
       "1                                   Ja                               NaN   \n",
       "2                                   Ja                              Nein   \n",
       "3                                 Nein                                Ja   \n",
       "4                                   Ja                               NaN   \n",
       "\n",
       "   Netto-Nennleistung (elektrische Wirkleistung) in MW  \\\n",
       "0                                               15.0     \n",
       "1                                               12.1     \n",
       "2                                               14.0     \n",
       "3                                               15.0     \n",
       "4                                               13.3     \n",
       "\n",
       "  Bezeichnung Verknüpfungspunkt (Schaltanlage) mit dem Stromnetz der Allgemeinen Versorgung gemäß Netzbetreiber  \\\n",
       "0                                                NaN                                                              \n",
       "1                                                NaN                                                              \n",
       "2  DE0010107343300000000000000287689 & DE 0010107...                                                              \n",
       "3                                           UW Erlau                                                              \n",
       "4                                                NaN                                                              \n",
       "\n",
       "  Netz- oder Umspannebene des Anschlusses  \\\n",
       "0                     Mittelspannung (MS)   \n",
       "1                                     NaN   \n",
       "2                     Mittelspannung (MS)   \n",
       "3                     Mittelspannung (MS)   \n",
       "4     USp. Hoch- / Mittelspannung (HS/MS)   \n",
       "\n",
       "                          Name Stromnetzbetreiber  \n",
       "0                                  INFRAWEST GmbH  \n",
       "1                                             NaN  \n",
       "2  Netzgesellschaft Ostwürttemberg DonauRies GmbH  \n",
       "3                                Stadtwerke Aalen  \n",
       "4                                   EWE NETZ GmbH  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plantlist = getbnetzalist(url_bnetza)\n",
    "\n",
    "# clean unnamed columns\n",
    "plantlist.drop([c for c in plantlist.columns if 'Unnamed:' in c], axis=1, inplace=True)\n",
    "\n",
    "plantlist.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.2 Download the UBA Plant list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This section downloads the power plant list from the German Federal Environment Agency (UBA) and converts it to a pandas data frame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "01 Oct 2020 12:32:59 - root - INFO - Downloading file kraftwerke_de_ab_100_mw_0.xls\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Kraftwerksname / Standort</th>\n",
       "      <th>Betreiber</th>\n",
       "      <th>Bundesland</th>\n",
       "      <th>Standort-PLZ</th>\n",
       "      <th>Kraftwerksstandort</th>\n",
       "      <th>Elektrische Bruttoleistung (MW)</th>\n",
       "      <th>Fernwärme-leistung (MW)</th>\n",
       "      <th>Inbetriebnahme  (ggf. Ertüchtigung)</th>\n",
       "      <th>Anlagenart</th>\n",
       "      <th>Primärenergieträger</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Albatros</td>\n",
       "      <td>EnBW Albatros GmbH &amp; Co. KG / Enbridge Inc.</td>\n",
       "      <td>Offshore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nordsee</td>\n",
       "      <td>112.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019</td>\n",
       "      <td>WEA</td>\n",
       "      <td>Wind (O)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albbruck-Dogern</td>\n",
       "      <td>Rheinkraftwerk Albbruck-Dogern AG / RWE Vertri...</td>\n",
       "      <td>BW</td>\n",
       "      <td>79774.0</td>\n",
       "      <td>Albbruck</td>\n",
       "      <td>108.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1933 / 2009 (2020)</td>\n",
       "      <td>LWK</td>\n",
       "      <td>Wasser</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Altbach/Deizisau GT A-C, E</td>\n",
       "      <td>EnBW Kraftwerke AG</td>\n",
       "      <td>BW</td>\n",
       "      <td>73776.0</td>\n",
       "      <td>Altbach</td>\n",
       "      <td>305.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1971-1997</td>\n",
       "      <td>GT</td>\n",
       "      <td>Erdgas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Altbach/Deizisau HKW 1</td>\n",
       "      <td>EnBW Kraftwerke AG</td>\n",
       "      <td>BW</td>\n",
       "      <td>73776.0</td>\n",
       "      <td>Altbach</td>\n",
       "      <td>476.0</td>\n",
       "      <td>280</td>\n",
       "      <td>1985 (2006)</td>\n",
       "      <td>HKW</td>\n",
       "      <td>Steinkohle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Altbach/Deizisau HKW 2</td>\n",
       "      <td>EnBW Kraftwerke AG</td>\n",
       "      <td>BW</td>\n",
       "      <td>73776.0</td>\n",
       "      <td>Altbach</td>\n",
       "      <td>379.0</td>\n",
       "      <td>280</td>\n",
       "      <td>1997 (2012)</td>\n",
       "      <td>HKW (DT)</td>\n",
       "      <td>Steinkohle</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Kraftwerksname / Standort  \\\n",
       "0                    Albatros   \n",
       "1             Albbruck-Dogern   \n",
       "2  Altbach/Deizisau GT A-C, E   \n",
       "3      Altbach/Deizisau HKW 1   \n",
       "4      Altbach/Deizisau HKW 2   \n",
       "\n",
       "                                          Betreiber  Bundesland  Standort-PLZ  \\\n",
       "0        EnBW Albatros GmbH & Co. KG / Enbridge Inc.   Offshore           NaN   \n",
       "1  Rheinkraftwerk Albbruck-Dogern AG / RWE Vertri...         BW       79774.0   \n",
       "2                                 EnBW Kraftwerke AG         BW       73776.0   \n",
       "3                                 EnBW Kraftwerke AG         BW       73776.0   \n",
       "4                                 EnBW Kraftwerke AG         BW       73776.0   \n",
       "\n",
       "  Kraftwerksstandort  Elektrische Bruttoleistung (MW) Fernwärme-leistung (MW)  \\\n",
       "0            Nordsee                            112.0                     NaN   \n",
       "1           Albbruck                            108.9                     NaN   \n",
       "2            Altbach                            305.0                     NaN   \n",
       "3            Altbach                            476.0                     280   \n",
       "4            Altbach                            379.0                     280   \n",
       "\n",
       "  Inbetriebnahme  (ggf. Ertüchtigung) Anlagenart Primärenergieträger  \n",
       "0                                2019        WEA            Wind (O)  \n",
       "1                  1933 / 2009 (2020)        LWK              Wasser  \n",
       "2                           1971-1997         GT              Erdgas  \n",
       "3                         1985 (2006)        HKW          Steinkohle  \n",
       "4                         1997 (2012)   HKW (DT)          Steinkohle  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plantlist_uba = getubalist(url_uba)\n",
    "plantlist_uba.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 6. Translate contents"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6.1 BNetzA Columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A dictionary with the original column names to the new column names is created. This dictionary is used to translate the column names."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "dict_columns = {\n",
    "    'Kraftwerksnummer Bundesnetzagentur':\n",
    "        'id',\n",
    "    'Unternehmen':\n",
    "        'company',\n",
    "    'Kraftwerksname':\n",
    "        'name',\n",
    "    'PLZ\\n(Standort Kraftwerk)':\n",
    "        'postcode',\n",
    "    'Ort\\n(Standort Kraftwerk)':\n",
    "        'city',\n",
    "    'Straße und Hausnummer (Standort Kraftwerk)':\n",
    "        'street',\n",
    "    'Bundesland':\n",
    "        'state',\n",
    "    'Blockname':\n",
    "        'block',\n",
    "    ('Datum der Aufnahme der kommerziellen Stromeinspeisung der Erzeugungseinheit [Datum/jahr]'):\n",
    "        'commissioned',\n",
    "    ('Kraftwerksstatus \\n(in Betrieb/\\nvorläufig stillgelegt/\\nsaisonale '\n",
    "     'Konservierung\\nReservekraftwerk/\\nSonderfall)'):\n",
    "        'status',\n",
    "    ('Kraftwerksstatus \\n(in Betrieb/\\nvorläufig stillgelegt/\\nsaisonale '\n",
    "     'Konservierung\\nGesetzlich an Stilllegung gehindert/\\nSonderfall)'):\n",
    "        'status',\n",
    "    ('Kraftwerksstatus \\n(in Betrieb/\\nvorläufig stillgelegt/\\nsaisonale '\n",
    "     'Konservierung\\nNetzreserve/ Sicherheitsbereitschaft/\\nSonderfall)'):\n",
    "        'status',\n",
    "    'Energieträger':\n",
    "        'fuel_basis',\n",
    "    ('Spezifizierung \"Mehrere Energieträger\" und \"Sonstige Energieträger\" - '\n",
    "     'Hauptbrennstoff'): 'fuel_multiple1',\n",
    "    'Spezifizierung \"Mehrere Energieträger\" - Zusatz- / Ersatzbrennstoffe':\n",
    "        'fuel_multiple2',\n",
    "    ('Auswertung\\nEnergieträger (Zuordnung zu einem Hauptenergieträger bei '\n",
    "     'Mehreren Energieträgern)'):\n",
    "        'fuel',\n",
    "    'Förderberechtigt nach EEG\\n(ja/nein)':\n",
    "        'eeg',\n",
    "    'Wärmeauskopplung (KWK)\\n(ja/nein)':\n",
    "        'chp',\n",
    "    'Netto-Nennleistung (elektrische Wirkleistung) in MW':\n",
    "        'capacity',\n",
    "    ('Bezeichnung Verknüpfungspunkt (Schaltanlage) mit dem Stromnetz der '\n",
    "     'Allgemeinen Versorgung gemäß Netzbetreiber'):\n",
    "        'network_node',\n",
    "    'Netz- oder Umspannebene des Anschlusses':\n",
    "        'voltage',\n",
    "    'Name Stromnetzbetreiber':\n",
    "        'network_operator',\n",
    "    'Kraftwerksname / Standort':\n",
    "        'uba_name',\n",
    "    'Betreiber ':\n",
    "        'uba_company',\n",
    "    'Standort-PLZ':\n",
    "        'uba_postcode',\n",
    "    'Kraftwerksstandort':\n",
    "        'uba_city',\n",
    "    'Elektrische Bruttoleistung (MW)':\n",
    "        'uba_capacity',\n",
    "    'Fernwärme-leistung (MW)':\n",
    "        'uba_chp_capacity',\n",
    "    'Inbetriebnahme  (ggf. Ertüchtigung)':\n",
    "        'uba_commissioned',\n",
    "    'Anlagenart':\n",
    "        'uba_technology',\n",
    "    'Primärenergieträger':\n",
    "        'uba_fuel',\n",
    "}\n",
    "plantlist.rename(columns=dict_columns, inplace=True)\n",
    "\n",
    "# Check if all columns have been translated\n",
    "for columnnames in plantlist.columns:\n",
    "    # if columnnames not in dict_columns.values():\n",
    "    if columnnames not in dict_columns.values():\n",
    "        logger.error(\"Untranslated column: \"+ columnnames)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6.2 Fuel types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# first remove line breaks\n",
    "plantlist['fuel'] = plantlist['fuel'].str.replace('\\n', ' ')\n",
    "\n",
    "# Delete entries without fuel and name\n",
    "plantlist = plantlist.dropna(subset = ['fuel','name'])\n",
    "\n",
    "dict_fuels = {\n",
    "    'Steinkohle': 'Hard coal',\n",
    "    'Erdgas': 'Natural gas',\n",
    "    'Braunkohle': 'Lignite',\n",
    "    'Kernenergie': 'Nuclear',\n",
    "    'Pumpspeicher': 'Hydro PSP',\n",
    "    'Biomasse': 'Biomass and biogas',\n",
    "    'Mineralölprodukte': 'Oil',\n",
    "    'Laufwasser': 'Hydro',\n",
    "    'Sonstige Energieträger (nicht erneuerbar) ': 'Other fuels',\n",
    "    'Abfall': 'Waste',\n",
    "    'Speicherwasser (ohne Pumpspeicher)': 'Hydro Reservoir',\n",
    "    'Unbekannter Energieträger (nicht erneuerbar)': 'Other fuels',\n",
    "    'Sonstige Energieträger (nicht erneuerbar)': 'Other fuels',\n",
    "    'Mehrere Energieträger (nicht erneuerbar)': 'Mixed fossil fuels',\n",
    "    'Deponiegas': 'Sewage and landfill gas',\n",
    "    'Windenergie (Onshore-Anlage)': 'Onshore',\n",
    "    'Windenergie (Onshore-Anlage)neu': 'Onshore',\n",
    "    'Windenergie (Offshore-Anlage)': 'Offshore',\n",
    "    'Solare Strahlungsenergie': 'Solar',\n",
    "    'Klärgas': 'Sewage and landfill gas',\n",
    "    'Geothermie': 'Geothermal',\n",
    "    'Grubengas': 'Other fossil fuels',\n",
    "    'Sonstige Speichertechnologien': 'Storage Technologies'\n",
    "}\n",
    "plantlist[\"fuel\"].replace(dict_fuels, inplace=True)\n",
    "\n",
    "# Check if all fuels have been translated\n",
    "for fuelnames in plantlist[\"fuel\"].unique():\n",
    "    if fuelnames not in dict_fuels.values():\n",
    "        print(dict_fuels.values(), fuelnames)\n",
    "        logger.error(\"Untranslated fuel: \" + fuelnames)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6.3 Power plant status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "dict_plantstatus = {\n",
    "    'in Betrieb': 'operating',\n",
    "    'In Betrieb': 'operating',\n",
    "    'vorläufig stillgelegt': 'shutdown_temporary',\n",
    "    'Vorläufig stillgelegt': 'shutdown_temporary',\n",
    "    'Vorläufig Stillgelegt': 'shutdown_temporary',    \n",
    "    'Sonderfall': 'special_case',\n",
    "    'saisonale Konservierung': 'seasonal_conservation',\n",
    "    'Saisonale Konservierung': 'seasonal_conservation',    \n",
    "    'Reservekraftwerk':'reserve',\n",
    "    'Endgültig Stillgelegt 2011': 'shutdown_2011',\n",
    "    'Endgültig Stillgelegt 2012': 'shutdown_2012',\n",
    "    'Endgültig Stillgelegt 2013': 'shutdown_2013',\n",
    "    'Endgültig Stillgelegt 2014': 'shutdown_2014',\n",
    "    'Endgültig Stillgelegt 2015': 'shutdown_2015',\n",
    "    'Endgültig stillgelegt 2015': 'shutdown_2015',\n",
    "    'Endgültig Stillgelegt 2016': 'shutdown_2016',\n",
    "    'Gesetzlich an Stilllegung gehindert': 'operating',    \n",
    "    'Endgültig Stillgelegt 2011 (ohne StA)': 'shutdown_2011',\n",
    "    'Endgültig Stillgelegt 2012 (ohne StA)': 'shutdown_2012',\n",
    "    'Endgültig Stillgelegt 2013 (mit StA)': 'shutdown_2013',\n",
    "    'Endgültig Stillgelegt 2013 (ohne StA)': 'shutdown_2013',\n",
    "    'Endgültig Stillgelegt 2014 (mit StA)': 'shutdown_2014',\n",
    "    'Endgültig Stillgelegt 2014 (ohne StA)': 'shutdown_2014',\n",
    "    'Endgültig Stillgelegt 2015 (mit StA)': 'shutdown_2015',\n",
    "    'Endgültig Stillgelegt 2015 (ohne StA)': 'shutdown_2015',\n",
    "    'Endgültig Stillgelegt 2016 (mit StA)': 'shutdown_2016',\n",
    "    'Sicherheitsbereitschaft': 'reserve',\n",
    "    'Vorläufig Stillgelegt (mit StA)': 'shutdown_temporary',\n",
    "    'Vorläufig Stillgelegt (ohne StA)': 'shutdown_temporary',\n",
    "    'Endgültig Stillgelegt 2016 (ohne StA)': 'shutdown_2016',\n",
    "    'Endgültig Stillgelegt 2017 (mit StA)' : 'shutdown_2017',\n",
    "    'Endgültig Stillgelegt 2017 (ohne StA)': 'shutdown_2017',\n",
    "    'Endgültig Stillgelegt 2018 (mit StA)' : 'shutdown_2018',\n",
    "    'Endgültig Stillgelegt 2018 (ohne StA)': 'shutdown_2018',\n",
    "    'Endgültig Stillgelegt 2019 (mit StA)': 'shutdown_2019',\n",
    "    'Endgültig Stillgelegt 2019 (ohne StA)': 'shutdown_2019',\n",
    "    'gesetzlich an Stilllegung gehindert' : 'operating',\n",
    "    'Netzreserve' : 'reserve',\n",
    "    'Wegfall IWA nach DE' : 'special_case',\n",
    "}  \n",
    "plantlist['status'].replace(dict_plantstatus, inplace=True) \n",
    "\n",
    "# Check if all fuels have been translated\n",
    "for statusnames in plantlist['status'].unique():\n",
    "    if statusnames not in dict_plantstatus.values():\n",
    "        logger.error('Untranslated plant status: '+ statusnames)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6.4 CHP Capability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "dict_yesno ={\n",
    "    'Nein': 'no',\n",
    "    'nein': 'no',\n",
    "    'Ja': 'yes',\n",
    "    'ja': 'yes',    \n",
    "}\n",
    "plantlist['chp'].replace(dict_yesno, inplace=True)\n",
    "\n",
    "# Check if all fuels have been translated\n",
    "for chpnames in plantlist['chp'].unique():\n",
    "    if (chpnames not in dict_yesno.values()) & (str(chpnames) != 'nan'):\n",
    "        logger.error('Untranslated chp capability: ' + str(chpnames))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6.5 EEG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "plantlist['eeg'].replace(dict_yesno, inplace=True)\n",
    "\n",
    "# Check if all fuels have been translated\n",
    "for eegnames in plantlist['eeg'].unique():\n",
    "    if (eegnames not in dict_yesno.values()) & (str(eegnames) != 'nan'):\n",
    "        logger.error('Untranslated EEG type: ' + str(eegnames))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6.6 UBA Columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Translate the UBA Column names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "01 Oct 2020 12:33:00 - numexpr.utils - INFO - NumExpr defaulting to 4 threads.\n"
     ]
    }
   ],
   "source": [
    "dict_uba_columns = {\n",
    "    'Kraftwerksname / Standort': 'uba_name',\n",
    "    'Betreiber ': 'uba_company',\n",
    "    'Standort-PLZ': 'uba_postcode',\n",
    "    'Kraftwerksstandort': 'uba_city',\n",
    "    'Elektrische Bruttoleistung (MW)': 'uba_capacity',\n",
    "    'Fernwärme-leistung (MW)': 'uba_chp_capacity',\n",
    "    'Inbetriebnahme  (ggf. Ertüchtigung)': 'uba_commissioned',\n",
    "    'Anlagenart': 'uba_technology',\n",
    "    'Primärenergieträger': 'uba_fuel',\n",
    "    'Bundesland':'uba_state',\n",
    "}\n",
    "plantlist_uba.rename(columns=dict_uba_columns, inplace=True)\n",
    "\n",
    "# Check if all columns have been translated\n",
    "for columnnames in plantlist_uba.columns:\n",
    "    if columnnames not in dict_uba_columns.values():\n",
    "        logger.error('Untranslated column: ' + columnnames)\n",
    "        \n",
    "# Prepare for matching\n",
    "plantlist_uba['uba_id_string'] = (plantlist_uba['uba_name'] \n",
    "                                  + '_' \n",
    "                                  + plantlist_uba['uba_fuel'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 7. Process data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.1 Set index to the BNetzA power plant ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>company</th>\n",
       "      <th>name</th>\n",
       "      <th>postcode</th>\n",
       "      <th>city</th>\n",
       "      <th>street</th>\n",
       "      <th>state</th>\n",
       "      <th>block</th>\n",
       "      <th>commissioned</th>\n",
       "      <th>status</th>\n",
       "      <th>fuel_basis</th>\n",
       "      <th>fuel_multiple1</th>\n",
       "      <th>fuel_multiple2</th>\n",
       "      <th>fuel</th>\n",
       "      <th>eeg</th>\n",
       "      <th>chp</th>\n",
       "      <th>capacity</th>\n",
       "      <th>network_node</th>\n",
       "      <th>voltage</th>\n",
       "      <th>network_operator</th>\n",
       "      <th>bnetza_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA1888</th>\n",
       "      <td>STAWAG Energie GmbH</td>\n",
       "      <td>Windpark Aachen Nord GmbH &amp; Co. KG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Aachen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nordrhein-Westfalen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>08.06.2017</td>\n",
       "      <td>operating</td>\n",
       "      <td>Windenergie (Onshore-Anlage)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Onshore</td>\n",
       "      <td>yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BNA1888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1011</th>\n",
       "      <td>Breeze Three Energy GmbH &amp; Co. KG</td>\n",
       "      <td>Windpark Waldhausen</td>\n",
       "      <td>73433</td>\n",
       "      <td>Aalen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.12.2006</td>\n",
       "      <td>operating</td>\n",
       "      <td>Windenergie (Onshore-Anlage)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Onshore</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>14.0</td>\n",
       "      <td>DE0010107343300000000000000287689 &amp; DE 0010107...</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>Netzgesellschaft Ostwürttemberg DonauRies GmbH</td>\n",
       "      <td>BNA1011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1938</th>\n",
       "      <td>Papierfabrik Palm GmbH &amp; Co. KG</td>\n",
       "      <td>KWK-Anlage Neukochen</td>\n",
       "      <td>73432</td>\n",
       "      <td>Aalen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>Neukochen 10</td>\n",
       "      <td>01.01.1960</td>\n",
       "      <td>operating</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>15.0</td>\n",
       "      <td>UW Erlau</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>Stadtwerke Aalen</td>\n",
       "      <td>BNA1938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1099</th>\n",
       "      <td>Breloh Windenergie GmbH und Co. KG</td>\n",
       "      <td>11 Windkraftanlagen</td>\n",
       "      <td>59227</td>\n",
       "      <td>Ahlen</td>\n",
       "      <td>Halene - Kampen</td>\n",
       "      <td>Nordrhein-Westfalen</td>\n",
       "      <td>11 Windkraftanlagen 2,3 MW</td>\n",
       "      <td>06.12.2011</td>\n",
       "      <td>operating</td>\n",
       "      <td>Windenergie (Onshore-Anlage)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Onshore</td>\n",
       "      <td>yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.3</td>\n",
       "      <td>Umspannwerk Rosendahl, Ahlen</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>Westnetz GmbH</td>\n",
       "      <td>BNA1099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1892</th>\n",
       "      <td>HSW Windpark Ahorn-Buch GmbH &amp; Co. KG</td>\n",
       "      <td>HSW Windpark Ahorn-Buch</td>\n",
       "      <td>74744</td>\n",
       "      <td>Ahorn</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.05.2017</td>\n",
       "      <td>operating</td>\n",
       "      <td>Windenergie (Onshore-Anlage)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Onshore</td>\n",
       "      <td>yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BNA1892</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       company  \\\n",
       "id                                               \n",
       "BNA1888                    STAWAG Energie GmbH   \n",
       "BNA1011      Breeze Three Energy GmbH & Co. KG   \n",
       "BNA1938        Papierfabrik Palm GmbH & Co. KG   \n",
       "BNA1099     Breloh Windenergie GmbH und Co. KG   \n",
       "BNA1892  HSW Windpark Ahorn-Buch GmbH & Co. KG   \n",
       "\n",
       "                                       name postcode    city  \\\n",
       "id                                                             \n",
       "BNA1888  Windpark Aachen Nord GmbH & Co. KG      NaN  Aachen   \n",
       "BNA1011                 Windpark Waldhausen    73433   Aalen   \n",
       "BNA1938                KWK-Anlage Neukochen    73432   Aalen   \n",
       "BNA1099                 11 Windkraftanlagen    59227   Ahlen   \n",
       "BNA1892             HSW Windpark Ahorn-Buch    74744   Ahorn   \n",
       "\n",
       "                   street                state                       block  \\\n",
       "id                                                                           \n",
       "BNA1888               NaN  Nordrhein-Westfalen                         NaN   \n",
       "BNA1011               NaN    Baden-Württemberg                         NaN   \n",
       "BNA1938               NaN    Baden-Württemberg                Neukochen 10   \n",
       "BNA1099  Halene - Kampen   Nordrhein-Westfalen  11 Windkraftanlagen 2,3 MW   \n",
       "BNA1892               NaN    Baden-Württemberg                         NaN   \n",
       "\n",
       "        commissioned     status                    fuel_basis fuel_multiple1  \\\n",
       "id                                                                             \n",
       "BNA1888   08.06.2017  operating  Windenergie (Onshore-Anlage)            NaN   \n",
       "BNA1011   30.12.2006  operating  Windenergie (Onshore-Anlage)            NaN   \n",
       "BNA1938   01.01.1960  operating                        Erdgas            NaN   \n",
       "BNA1099   06.12.2011  operating  Windenergie (Onshore-Anlage)            NaN   \n",
       "BNA1892   30.05.2017  operating  Windenergie (Onshore-Anlage)            NaN   \n",
       "\n",
       "        fuel_multiple2         fuel  eeg  chp  capacity  \\\n",
       "id                                                        \n",
       "BNA1888            NaN      Onshore  yes  NaN      12.1   \n",
       "BNA1011            NaN      Onshore  yes   no      14.0   \n",
       "BNA1938            NaN  Natural gas   no  yes      15.0   \n",
       "BNA1099            NaN      Onshore  yes  NaN      25.3   \n",
       "BNA1892            NaN      Onshore  yes  NaN      11.1   \n",
       "\n",
       "                                              network_node  \\\n",
       "id                                                           \n",
       "BNA1888                                                NaN   \n",
       "BNA1011  DE0010107343300000000000000287689 & DE 0010107...   \n",
       "BNA1938                                           UW Erlau   \n",
       "BNA1099                       Umspannwerk Rosendahl, Ahlen   \n",
       "BNA1892                                                NaN   \n",
       "\n",
       "                     voltage                                network_operator  \\\n",
       "id                                                                             \n",
       "BNA1888                  NaN                                             NaN   \n",
       "BNA1011  Mittelspannung (MS)  Netzgesellschaft Ostwürttemberg DonauRies GmbH   \n",
       "BNA1938  Mittelspannung (MS)                                Stadtwerke Aalen   \n",
       "BNA1099    Hochspannung (HS)                                   Westnetz GmbH   \n",
       "BNA1892                  NaN                                             NaN   \n",
       "\n",
       "        bnetza_id  \n",
       "id                 \n",
       "BNA1888   BNA1888  \n",
       "BNA1011   BNA1011  \n",
       "BNA1938   BNA1938  \n",
       "BNA1099   BNA1099  \n",
       "BNA1892   BNA1892  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Set Index of BNetzA power plant list to Kraftwerksnummer_Bundesnetzagentur\n",
    "plantlist['bnetza_id'] = plantlist['id']\n",
    "plantlist = plantlist.set_index('id')\n",
    "\n",
    "# remove line breaks in some columns\n",
    "plantlist['network_node'] = plantlist['network_node'].str.replace('\\n', ' ')\n",
    "plantlist['company'] = plantlist['company'].str.replace('\\n', ' ')\n",
    "plantlist['name'] = plantlist['name'].str.replace('\\n', ' ')\n",
    "plantlist['fuel'] = plantlist['fuel'].str.replace('\\n', ' ')\n",
    "plantlist['block'] = plantlist['block'].str.replace('\\n', ' ')\n",
    "plantlist['network_operator'] = plantlist['network_operator'].str.replace('\\n', ' ')\n",
    "plantlist['street'] = plantlist['street'].str.replace('\\n', ' ')\n",
    "plantlist['commissioned'] = plantlist['commissioned'].str.replace('\\n', ' ')\n",
    " \n",
    "plantlist.head() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Manual adjustments:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "plantlist.loc[plantlist['bnetza_id'] == 'BNA0834', 'fuel'] = 'Natural gas'\n",
    "plantlist.loc[plantlist['bnetza_id'] == 'BNA0662a', 'fuel'] = 'Hard coal'\n",
    "plantlist.loc[plantlist['bnetza_id'] == 'BNA0662b', 'fuel'] = 'Hard coal'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.2 Merge data from UBA List"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section a hand-researched list is used to match the power plants from the UBA list to the BNetzA list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID BNetzA</th>\n",
       "      <th>uba_match_name</th>\n",
       "      <th>uba_match_fuel</th>\n",
       "      <th>uba_id_string</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BNA0005</td>\n",
       "      <td>Ahrensfelde A bis D</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Ahrensfelde A bis D_Erdgas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BNA0006</td>\n",
       "      <td>Ahrensfelde A bis D</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Ahrensfelde A bis D_Erdgas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BNA0007</td>\n",
       "      <td>Ahrensfelde A bis D</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Ahrensfelde A bis D_Erdgas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BNA0008</td>\n",
       "      <td>Ahrensfelde A bis D</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Ahrensfelde A bis D_Erdgas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BNA0010a</td>\n",
       "      <td>Albbruck-Dogern</td>\n",
       "      <td>Wasser</td>\n",
       "      <td>Albbruck-Dogern_Wasser</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  ID BNetzA       uba_match_name uba_match_fuel               uba_id_string\n",
       "0   BNA0005  Ahrensfelde A bis D         Erdgas  Ahrensfelde A bis D_Erdgas\n",
       "1   BNA0006  Ahrensfelde A bis D         Erdgas  Ahrensfelde A bis D_Erdgas\n",
       "2   BNA0007  Ahrensfelde A bis D         Erdgas  Ahrensfelde A bis D_Erdgas\n",
       "3   BNA0008  Ahrensfelde A bis D         Erdgas  Ahrensfelde A bis D_Erdgas\n",
       "4  BNA0010a      Albbruck-Dogern         Wasser      Albbruck-Dogern_Wasser"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read matching list\n",
    "matchinglist = getmatchinglist()\n",
    "matchinglist.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7.2.1 case 1-1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Matching: 1-1 One BNetzA ID to one UBA-ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uba_match_name</th>\n",
       "      <th>uba_match_fuel</th>\n",
       "      <th>uba_id_string</th>\n",
       "      <th>uba_name</th>\n",
       "      <th>uba_company</th>\n",
       "      <th>uba_state</th>\n",
       "      <th>uba_postcode</th>\n",
       "      <th>uba_city</th>\n",
       "      <th>uba_capacity</th>\n",
       "      <th>uba_chp_capacity</th>\n",
       "      <th>uba_commissioned</th>\n",
       "      <th>uba_technology</th>\n",
       "      <th>uba_fuel</th>\n",
       "      <th>merge_comment</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID BNetzA</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0019</th>\n",
       "      <td>Altbach/Deizisau HKW 1</td>\n",
       "      <td>Steinkohle</td>\n",
       "      <td>Altbach/Deizisau HKW 1_Steinkohle</td>\n",
       "      <td>Altbach/Deizisau HKW 1</td>\n",
       "      <td>EnBW Kraftwerke AG</td>\n",
       "      <td>BW</td>\n",
       "      <td>73776.0</td>\n",
       "      <td>Altbach</td>\n",
       "      <td>476.0</td>\n",
       "      <td>280</td>\n",
       "      <td>1985 (2006)</td>\n",
       "      <td>HKW</td>\n",
       "      <td>Steinkohle</td>\n",
       "      <td>List matching type: Single UBA power plant ass...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0020</th>\n",
       "      <td>Altbach/Deizisau HKW 2</td>\n",
       "      <td>Steinkohle</td>\n",
       "      <td>Altbach/Deizisau HKW 2_Steinkohle</td>\n",
       "      <td>Altbach/Deizisau HKW 2</td>\n",
       "      <td>EnBW Kraftwerke AG</td>\n",
       "      <td>BW</td>\n",
       "      <td>73776.0</td>\n",
       "      <td>Altbach</td>\n",
       "      <td>379.0</td>\n",
       "      <td>280</td>\n",
       "      <td>1997 (2012)</td>\n",
       "      <td>HKW (DT)</td>\n",
       "      <td>Steinkohle</td>\n",
       "      <td>List matching type: Single UBA power plant ass...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0027</th>\n",
       "      <td>Arneburg</td>\n",
       "      <td>Biomasse</td>\n",
       "      <td>Arneburg_Biomasse</td>\n",
       "      <td>Arneburg</td>\n",
       "      <td>Zellstoff Stendal GmbH</td>\n",
       "      <td>ST</td>\n",
       "      <td>39596.0</td>\n",
       "      <td>Arneburg</td>\n",
       "      <td>147.0</td>\n",
       "      <td>600</td>\n",
       "      <td>2004 / 2013</td>\n",
       "      <td>HKW</td>\n",
       "      <td>Biomasse</td>\n",
       "      <td>List matching type: Single UBA power plant ass...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0067</th>\n",
       "      <td>Bergkamen A</td>\n",
       "      <td>Steinkohle</td>\n",
       "      <td>Bergkamen A_Steinkohle</td>\n",
       "      <td>Bergkamen A</td>\n",
       "      <td>Steag GmbH</td>\n",
       "      <td>NW</td>\n",
       "      <td>59192.0</td>\n",
       "      <td>Bergkamen</td>\n",
       "      <td>780.0</td>\n",
       "      <td>20</td>\n",
       "      <td>1981</td>\n",
       "      <td>DKW</td>\n",
       "      <td>Steinkohle</td>\n",
       "      <td>List matching type: Single UBA power plant ass...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0074</th>\n",
       "      <td>Berlin-Charlottenburg 4 bis 6</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Berlin-Charlottenburg 4 bis 6_Erdgas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>List matching type: Single UBA power plant ass...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          uba_match_name uba_match_fuel  \\\n",
       "ID BNetzA                                                 \n",
       "BNA0019           Altbach/Deizisau HKW 1     Steinkohle   \n",
       "BNA0020           Altbach/Deizisau HKW 2     Steinkohle   \n",
       "BNA0027                         Arneburg       Biomasse   \n",
       "BNA0067                      Bergkamen A     Steinkohle   \n",
       "BNA0074    Berlin-Charlottenburg 4 bis 6         Erdgas   \n",
       "\n",
       "                                  uba_id_string                uba_name  \\\n",
       "ID BNetzA                                                                 \n",
       "BNA0019       Altbach/Deizisau HKW 1_Steinkohle  Altbach/Deizisau HKW 1   \n",
       "BNA0020       Altbach/Deizisau HKW 2_Steinkohle  Altbach/Deizisau HKW 2   \n",
       "BNA0027                       Arneburg_Biomasse                Arneburg   \n",
       "BNA0067                  Bergkamen A_Steinkohle             Bergkamen A   \n",
       "BNA0074    Berlin-Charlottenburg 4 bis 6_Erdgas                     NaN   \n",
       "\n",
       "                      uba_company uba_state  uba_postcode   uba_city  \\\n",
       "ID BNetzA                                                              \n",
       "BNA0019        EnBW Kraftwerke AG        BW       73776.0    Altbach   \n",
       "BNA0020        EnBW Kraftwerke AG        BW       73776.0    Altbach   \n",
       "BNA0027    Zellstoff Stendal GmbH        ST       39596.0   Arneburg   \n",
       "BNA0067                Steag GmbH        NW       59192.0  Bergkamen   \n",
       "BNA0074                       NaN       NaN           NaN        NaN   \n",
       "\n",
       "           uba_capacity uba_chp_capacity uba_commissioned uba_technology  \\\n",
       "ID BNetzA                                                                  \n",
       "BNA0019           476.0              280      1985 (2006)            HKW   \n",
       "BNA0020           379.0              280      1997 (2012)       HKW (DT)   \n",
       "BNA0027           147.0              600      2004 / 2013            HKW   \n",
       "BNA0067           780.0               20             1981            DKW   \n",
       "BNA0074             NaN              NaN              NaN            NaN   \n",
       "\n",
       "             uba_fuel                                      merge_comment  \n",
       "ID BNetzA                                                                 \n",
       "BNA0019    Steinkohle  List matching type: Single UBA power plant ass...  \n",
       "BNA0020    Steinkohle  List matching type: Single UBA power plant ass...  \n",
       "BNA0027      Biomasse  List matching type: Single UBA power plant ass...  \n",
       "BNA0067    Steinkohle  List matching type: Single UBA power plant ass...  \n",
       "BNA0074           NaN  List matching type: Single UBA power plant ass...  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match1t1 = matchinglist[\n",
    "    (matchinglist.duplicated(subset=['uba_id_string'], keep=False) == False) \n",
    "    & (matchinglist.duplicated(subset=['ID BNetzA'], keep=False) == False)]\n",
    "match1t1 = pd.merge(match1t1, plantlist_uba,\n",
    "                    left_on='uba_id_string', \n",
    "                    right_on='uba_id_string',\n",
    "                    how='left')\n",
    "match1t1 = match1t1.set_index('ID BNetzA')\n",
    "\n",
    "#Add comment\n",
    "match1t1['merge_comment'] = ('List matching type: Single UBA power plant '\n",
    "                             'assigned to single BNetzA power plant')\n",
    "\n",
    "match1t1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7.2.2 case n-1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Match multiple BNetza IDs to one UBA ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uba_match_name</th>\n",
       "      <th>uba_match_fuel</th>\n",
       "      <th>uba_id_string</th>\n",
       "      <th>uba_name</th>\n",
       "      <th>uba_company</th>\n",
       "      <th>uba_state</th>\n",
       "      <th>uba_postcode</th>\n",
       "      <th>uba_city</th>\n",
       "      <th>uba_capacity</th>\n",
       "      <th>uba_chp_capacity</th>\n",
       "      <th>...</th>\n",
       "      <th>uba_fuel</th>\n",
       "      <th>capacity_bnetza</th>\n",
       "      <th>chp_bnetza</th>\n",
       "      <th>capacity_bnetza_aggregate</th>\n",
       "      <th>uba_capacity_scaled</th>\n",
       "      <th>capacity_bnetza_with_chp</th>\n",
       "      <th>uba_chp_capacity_scaled</th>\n",
       "      <th>uba_chp_capacity_original</th>\n",
       "      <th>uba_capacity_original</th>\n",
       "      <th>merge_comment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0005</th>\n",
       "      <td>Ahrensfelde A bis D</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Ahrensfelde A bis D_Erdgas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.5</td>\n",
       "      <td>no</td>\n",
       "      <td>150.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>List matching type: UBA capacity distributed p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0006</th>\n",
       "      <td>Ahrensfelde A bis D</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Ahrensfelde A bis D_Erdgas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.5</td>\n",
       "      <td>no</td>\n",
       "      <td>150.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>List matching type: UBA capacity distributed p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0007</th>\n",
       "      <td>Ahrensfelde A bis D</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Ahrensfelde A bis D_Erdgas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.5</td>\n",
       "      <td>no</td>\n",
       "      <td>150.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>List matching type: UBA capacity distributed p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0008</th>\n",
       "      <td>Ahrensfelde A bis D</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Ahrensfelde A bis D_Erdgas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.5</td>\n",
       "      <td>no</td>\n",
       "      <td>150.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>List matching type: UBA capacity distributed p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0010a</th>\n",
       "      <td>Albbruck-Dogern</td>\n",
       "      <td>Wasser</td>\n",
       "      <td>Albbruck-Dogern_Wasser</td>\n",
       "      <td>Albbruck-Dogern</td>\n",
       "      <td>Rheinkraftwerk Albbruck-Dogern AG / RWE Vertri...</td>\n",
       "      <td>BW</td>\n",
       "      <td>79774.0</td>\n",
       "      <td>Albbruck</td>\n",
       "      <td>83.647826</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Wasser</td>\n",
       "      <td>79.5</td>\n",
       "      <td>no</td>\n",
       "      <td>103.5</td>\n",
       "      <td>83.647826</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.9</td>\n",
       "      <td>List matching type: UBA capacity distributed p...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               uba_match_name uba_match_fuel               uba_id_string  \\\n",
       "BNA0005   Ahrensfelde A bis D         Erdgas  Ahrensfelde A bis D_Erdgas   \n",
       "BNA0006   Ahrensfelde A bis D         Erdgas  Ahrensfelde A bis D_Erdgas   \n",
       "BNA0007   Ahrensfelde A bis D         Erdgas  Ahrensfelde A bis D_Erdgas   \n",
       "BNA0008   Ahrensfelde A bis D         Erdgas  Ahrensfelde A bis D_Erdgas   \n",
       "BNA0010a      Albbruck-Dogern         Wasser      Albbruck-Dogern_Wasser   \n",
       "\n",
       "                 uba_name                                        uba_company  \\\n",
       "BNA0005               NaN                                                NaN   \n",
       "BNA0006               NaN                                                NaN   \n",
       "BNA0007               NaN                                                NaN   \n",
       "BNA0008               NaN                                                NaN   \n",
       "BNA0010a  Albbruck-Dogern  Rheinkraftwerk Albbruck-Dogern AG / RWE Vertri...   \n",
       "\n",
       "         uba_state  uba_postcode  uba_city  uba_capacity  uba_chp_capacity  \\\n",
       "BNA0005        NaN           NaN       NaN           NaN               NaN   \n",
       "BNA0006        NaN           NaN       NaN           NaN               NaN   \n",
       "BNA0007        NaN           NaN       NaN           NaN               NaN   \n",
       "BNA0008        NaN           NaN       NaN           NaN               NaN   \n",
       "BNA0010a        BW       79774.0  Albbruck     83.647826               NaN   \n",
       "\n",
       "          ... uba_fuel capacity_bnetza chp_bnetza  capacity_bnetza_aggregate  \\\n",
       "BNA0005   ...      NaN            37.5         no                      150.0   \n",
       "BNA0006   ...      NaN            37.5         no                      150.0   \n",
       "BNA0007   ...      NaN            37.5         no                      150.0   \n",
       "BNA0008   ...      NaN            37.5         no                      150.0   \n",
       "BNA0010a  ...   Wasser            79.5         no                      103.5   \n",
       "\n",
       "         uba_capacity_scaled  capacity_bnetza_with_chp  \\\n",
       "BNA0005                  NaN                       NaN   \n",
       "BNA0006                  NaN                       NaN   \n",
       "BNA0007                  NaN                       NaN   \n",
       "BNA0008                  NaN                       NaN   \n",
       "BNA0010a           83.647826                       NaN   \n",
       "\n",
       "          uba_chp_capacity_scaled  uba_chp_capacity_original  \\\n",
       "BNA0005                       NaN                        NaN   \n",
       "BNA0006                       NaN                        NaN   \n",
       "BNA0007                       NaN                        NaN   \n",
       "BNA0008                       NaN                        NaN   \n",
       "BNA0010a                      NaN                        NaN   \n",
       "\n",
       "          uba_capacity_original  \\\n",
       "BNA0005                     NaN   \n",
       "BNA0006                     NaN   \n",
       "BNA0007                     NaN   \n",
       "BNA0008                     NaN   \n",
       "BNA0010a                  108.9   \n",
       "\n",
       "                                              merge_comment  \n",
       "BNA0005   List matching type: UBA capacity distributed p...  \n",
       "BNA0006   List matching type: UBA capacity distributed p...  \n",
       "BNA0007   List matching type: UBA capacity distributed p...  \n",
       "BNA0008   List matching type: UBA capacity distributed p...  \n",
       "BNA0010a  List matching type: UBA capacity distributed p...  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Matching structure (example): \n",
    "# bnetza_id uba_id\n",
    "# 1         1\n",
    "# 2         1\n",
    "# 3         1\n",
    "# 4         2\n",
    "# 5         2\n",
    "\n",
    "# Get relevant entries from the matchinglist and merge the corresponding \n",
    "# UBA Data to the list.\n",
    "matchnt1= matchinglist[\n",
    "    (matchinglist.duplicated(subset=['uba_id_string'], keep=False) == True)\n",
    "    & (matchinglist.duplicated(subset=['ID BNetzA'], keep=False)== False)]\n",
    "matchnt1 = pd.merge(matchnt1, plantlist_uba,\n",
    "                    left_on='uba_id_string', right_on='uba_id_string', how='left')\n",
    "matchnt1 = matchnt1.set_index('ID BNetzA')\n",
    "\n",
    "# Import BNetzA Capacities and CHP criterion into matchnt1 dataframe\n",
    "plantlist_capacities = pd.DataFrame(plantlist[['capacity', 'chp']]).rename(\n",
    "    columns={'capacity': 'capacity_bnetza', 'chp': 'chp_bnetza'})\n",
    "matchnt1 = pd.merge(matchnt1, plantlist_capacities,\n",
    "                    left_index=True, right_index=True, how='left')\n",
    "\n",
    "# Get sum of BNetzA Capacitites for each UBA Index and merge into matchnt1 dataframe\n",
    "plantlist_uba_capacitysum = pd.DataFrame(\n",
    "    matchnt1.groupby('uba_id_string').sum()['capacity_bnetza']).rename(\n",
    "        columns={'capacity_bnetza': 'capacity_bnetza_aggregate'})\n",
    "matchnt1 = pd.merge(matchnt1, plantlist_uba_capacitysum,\n",
    "                    left_on='uba_id_string', right_index=True, how='left')\n",
    "\n",
    "# Scale UBA Capacities based BNetzA Data\n",
    "matchnt1['uba_capacity_scaled'] = (matchnt1['uba_capacity']\n",
    "                                   * matchnt1['capacity_bnetza']\n",
    "                                   / matchnt1['capacity_bnetza_aggregate'])\n",
    "\n",
    "# determine sum of capacities with chp capability and add to matchnt1\n",
    "plantlist_uba_chp_capacities = matchnt1[(matchnt1['chp_bnetza'] == 'yes')]\n",
    "plantlist_uba_chp_capacitysum = pd.DataFrame(\n",
    "    plantlist_uba_chp_capacities.groupby('uba_id_string')\n",
    "    .sum()['capacity_bnetza']) \n",
    "plantlist_uba_chp_capacitysum = plantlist_uba_chp_capacitysum.rename(\n",
    "    columns={'capacity_bnetza': 'capacity_bnetza_with_chp'})\n",
    "\n",
    "matchnt1 = pd.merge(matchnt1, plantlist_uba_chp_capacitysum,\n",
    "                    left_on='uba_id_string', right_index=True, how='left',)\n",
    "\n",
    "matchnt1['uba_chp_capacity'] = pd.to_numeric(matchnt1['uba_chp_capacity'], errors='coerce')\n",
    "\n",
    "\n",
    "matchnt1['uba_chp_capacity_scaled'] = (matchnt1['uba_chp_capacity']\n",
    "                                       * matchnt1['capacity_bnetza']\n",
    "                                       / matchnt1['capacity_bnetza_with_chp'])\n",
    "\n",
    "# Change column names for merge later on\n",
    "matchnt1['uba_chp_capacity_original'] = matchnt1['uba_chp_capacity']\n",
    "matchnt1['uba_chp_capacity'] = matchnt1['uba_chp_capacity_scaled']\n",
    "matchnt1['uba_capacity_original'] = matchnt1['uba_capacity']\n",
    "matchnt1['uba_capacity'] = matchnt1['uba_capacity_scaled']\n",
    "\n",
    "#Add comment\n",
    "matchnt1['merge_comment'] = ('List matching type: UBA capacity distributed '\n",
    "                             'proportionally to multiple BNetzA power plants')\n",
    "\n",
    "matchnt1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7.2.3 case 1-n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1-n Case here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uba_match_name</th>\n",
       "      <th>uba_match_fuel</th>\n",
       "      <th>uba_id_string</th>\n",
       "      <th>uba_name</th>\n",
       "      <th>uba_company</th>\n",
       "      <th>uba_state</th>\n",
       "      <th>uba_postcode</th>\n",
       "      <th>uba_city</th>\n",
       "      <th>uba_capacity_original</th>\n",
       "      <th>uba_chp_capacity_original</th>\n",
       "      <th>...</th>\n",
       "      <th>uba_technology</th>\n",
       "      <th>uba_fuel</th>\n",
       "      <th>capacity_bnetza</th>\n",
       "      <th>chp_bnetza</th>\n",
       "      <th>uba_capacity</th>\n",
       "      <th>uba_chp_capacity</th>\n",
       "      <th>uba_technology_aggregate</th>\n",
       "      <th>uba_name_aggregate</th>\n",
       "      <th>uba_company_aggregate</th>\n",
       "      <th>merge_comment</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID BNetzA</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0073</th>\n",
       "      <td>Berlin-Mitte HKW GT 1</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Berlin-Mitte HKW GT 1_Erdgas</td>\n",
       "      <td>Berlin-Mitte HKW GT 1</td>\n",
       "      <td>Vattenfall Europe GmbH</td>\n",
       "      <td>BE</td>\n",
       "      <td>10179.0</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>178.0</td>\n",
       "      <td>1210.0</td>\n",
       "      <td>...</td>\n",
       "      <td>GuD</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>444.0</td>\n",
       "      <td>yes</td>\n",
       "      <td>468.0</td>\n",
       "      <td>1210.0</td>\n",
       "      <td>GuD</td>\n",
       "      <td>Berlin-Mitte HKW GT 1, Berlin-Mitte HKW GT 2, ...</td>\n",
       "      <td>Vattenfall Europe GmbH</td>\n",
       "      <td>List matching type: Multiple UBA capacities ag...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0606</th>\n",
       "      <td>Emsland D (Lingen) DT</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Emsland D (Lingen) DT_Erdgas</td>\n",
       "      <td>Emsland D (Lingen) DT</td>\n",
       "      <td>RWE Power AG</td>\n",
       "      <td>NI</td>\n",
       "      <td>49808.0</td>\n",
       "      <td>Lingen</td>\n",
       "      <td>326.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>...</td>\n",
       "      <td>GuD</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>887.0</td>\n",
       "      <td>yes</td>\n",
       "      <td>888.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>GuD</td>\n",
       "      <td>Emsland D (Lingen) DT, Emsland D (Lingen) GT 1...</td>\n",
       "      <td>RWE Power AG</td>\n",
       "      <td>List matching type: Multiple UBA capacities ag...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1019</th>\n",
       "      <td>Wehr 1</td>\n",
       "      <td>Wasser</td>\n",
       "      <td>Wehr 1_Wasser</td>\n",
       "      <td>Wehr 1</td>\n",
       "      <td>Schluchseewerk AG</td>\n",
       "      <td>BW</td>\n",
       "      <td>79664.0</td>\n",
       "      <td>Wehr</td>\n",
       "      <td>248.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>PSW</td>\n",
       "      <td>Wasser</td>\n",
       "      <td>910.0</td>\n",
       "      <td>no</td>\n",
       "      <td>992.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PSW</td>\n",
       "      <td>Wehr 1, Wehr 2, Wehr 3, Wehr 4</td>\n",
       "      <td>Schluchseewerk AG</td>\n",
       "      <td>List matching type: Multiple UBA capacities ag...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  uba_match_name uba_match_fuel                 uba_id_string  \\\n",
       "ID BNetzA                                                                       \n",
       "BNA0073    Berlin-Mitte HKW GT 1         Erdgas  Berlin-Mitte HKW GT 1_Erdgas   \n",
       "BNA0606    Emsland D (Lingen) DT         Erdgas  Emsland D (Lingen) DT_Erdgas   \n",
       "BNA1019                   Wehr 1         Wasser                 Wehr 1_Wasser   \n",
       "\n",
       "                        uba_name             uba_company uba_state  \\\n",
       "ID BNetzA                                                            \n",
       "BNA0073    Berlin-Mitte HKW GT 1  Vattenfall Europe GmbH        BE   \n",
       "BNA0606    Emsland D (Lingen) DT            RWE Power AG        NI   \n",
       "BNA1019                   Wehr 1       Schluchseewerk AG        BW   \n",
       "\n",
       "           uba_postcode uba_city  uba_capacity_original  \\\n",
       "ID BNetzA                                                 \n",
       "BNA0073         10179.0   Berlin                  178.0   \n",
       "BNA0606         49808.0   Lingen                  326.0   \n",
       "BNA1019         79664.0     Wehr                  248.0   \n",
       "\n",
       "           uba_chp_capacity_original  ... uba_technology uba_fuel  \\\n",
       "ID BNetzA                             ...                           \n",
       "BNA0073                       1210.0  ...            GuD   Erdgas   \n",
       "BNA0606                         50.0  ...            GuD   Erdgas   \n",
       "BNA1019                          NaN  ...            PSW   Wasser   \n",
       "\n",
       "          capacity_bnetza  chp_bnetza uba_capacity  uba_chp_capacity  \\\n",
       "ID BNetzA                                                              \n",
       "BNA0073             444.0         yes        468.0            1210.0   \n",
       "BNA0606             887.0         yes        888.0              50.0   \n",
       "BNA1019             910.0          no        992.0               0.0   \n",
       "\n",
       "           uba_technology_aggregate  \\\n",
       "ID BNetzA                             \n",
       "BNA0073                         GuD   \n",
       "BNA0606                         GuD   \n",
       "BNA1019                         PSW   \n",
       "\n",
       "                                          uba_name_aggregate  \\\n",
       "ID BNetzA                                                      \n",
       "BNA0073    Berlin-Mitte HKW GT 1, Berlin-Mitte HKW GT 2, ...   \n",
       "BNA0606    Emsland D (Lingen) DT, Emsland D (Lingen) GT 1...   \n",
       "BNA1019                       Wehr 1, Wehr 2, Wehr 3, Wehr 4   \n",
       "\n",
       "            uba_company_aggregate  \\\n",
       "ID BNetzA                           \n",
       "BNA0073    Vattenfall Europe GmbH   \n",
       "BNA0606              RWE Power AG   \n",
       "BNA1019         Schluchseewerk AG   \n",
       "\n",
       "                                               merge_comment  \n",
       "ID BNetzA                                                     \n",
       "BNA0073    List matching type: Multiple UBA capacities ag...  \n",
       "BNA0606    List matching type: Multiple UBA capacities ag...  \n",
       "BNA1019    List matching type: Multiple UBA capacities ag...  \n",
       "\n",
       "[3 rows x 21 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The resulting DataFrame should be called \"match1tn\"\n",
    "# Matching structure: \n",
    "# bnetza_id uba_id\n",
    "# 1         1\n",
    "# 1         2\n",
    "# 1         3\n",
    "# 2         4\n",
    "# 2         5\n",
    "\n",
    "# Get relevant entries from the matchinglist and merge the corresponding UBA Data to the list.\n",
    "match1tn= matchinglist[\n",
    "    (matchinglist.duplicated(subset=['ID BNetzA'], keep=False) == True) & \n",
    "    (matchinglist.duplicated(subset=['uba_id_string'], keep=False)== False)]\n",
    "match1tn = pd.merge(match1tn, plantlist_uba,\n",
    "                    left_on='uba_id_string', right_on='uba_id_string', how='left')\n",
    "match1tn = match1tn.set_index('ID BNetzA')\n",
    "match1tn.head()\n",
    "\n",
    "# Import BNetzA Capacities and CHP criterion into match1tn dataframe\n",
    "plantlist_capacities = pd.DataFrame(plantlist[['capacity','chp']]).rename(\n",
    "    columns = {'capacity': 'capacity_bnetza', 'chp': 'chp_bnetza'})\n",
    "match1tn = pd.merge(match1tn, plantlist_capacities,\n",
    "                    left_index=True, right_index=True, how='left')\n",
    "match1tn.index.names=['ID BNetzA']\n",
    "match1tn.head()\n",
    "\n",
    "# Get sum of UBA Capacitites per BNetzA Index and merge to match1tn dataframe\n",
    "plantlist_bnetza_capacitysum = pd.DataFrame(\n",
    "    match1tn.groupby(match1tn.index).sum()['uba_capacity'])\n",
    "plantlist_bnetza_capacitysum = plantlist_bnetza_capacitysum.rename(\n",
    "    columns={'uba_capacity':'uba_capacity_aggregate'})\n",
    "match1tn = pd.merge(match1tn, plantlist_bnetza_capacitysum,\n",
    "                    left_index=True, right_index=True, how='left')\n",
    "\n",
    "match1tn['uba_chp_capacity'] = pd.to_numeric(match1tn['uba_chp_capacity'], errors='coerce')\n",
    "match1tn\n",
    "\n",
    "\n",
    "# Get sum of UBA CHP Capacities per BNetzA Index and merge to match1tn dataframe\n",
    "plantlist_bnetza_chp_capacitysum = pd.DataFrame(\n",
    "    match1tn.groupby(match1tn.index).sum()['uba_chp_capacity'])\n",
    "plantlist_bnetza_chp_capacitysum = plantlist_bnetza_chp_capacitysum.rename(\n",
    "    columns={'uba_chp_capacity': 'uba_chp_capacity_aggregate'})\n",
    "match1tn = pd.merge(match1tn, plantlist_bnetza_chp_capacitysum,\n",
    "                    left_index=True, right_index=True, how='left')\n",
    "\n",
    "# Get UBA Technology for each BNetzA Index and merge into match1tn dataframe \n",
    "## Option 1: Take all technologies and merge them\n",
    "#match1tn['uba_technology_aggregate'] = pd.DataFrame(\n",
    "#    match1tn.groupby(match1tn.index)\n",
    "#    .transform(lambda x: ', '.join(x))['uba_technology'])\n",
    "## Option 2 (currently preferred): Take technology with highest occurence\n",
    "match1tn['uba_technology_aggregate'] = pd.DataFrame(\n",
    "    match1tn.groupby(match1tn.index)['uba_technology']\n",
    "    .agg(lambda x: x.value_counts().index[0]))\n",
    "\n",
    "# Get UBA Plant name\n",
    "match1tn['uba_name_aggregate'] = pd.DataFrame(\n",
    "    match1tn.groupby(match1tn.index).transform(lambda x: ', '.join(x))['uba_name'])\n",
    "\n",
    "# Get UBA company name\n",
    "match1tn['uba_company_aggregate'] = pd.DataFrame(\n",
    "    match1tn.groupby(match1tn.index)['uba_company']\n",
    "    .agg(lambda x:x.value_counts().index[0]))\n",
    "\n",
    "# Change column names for merge later on\n",
    "match1tn = match1tn.rename(\n",
    "    columns={'uba_chp_capacity': 'uba_chp_capacity_original',\n",
    "             'uba_capacity': 'uba_capacity_original',\n",
    "             'uba_chp_capacity_aggregate': 'uba_chp_capacity',\n",
    "             'uba_capacity_aggregate': 'uba_capacity'})\n",
    "\n",
    "#Add comment\n",
    "match1tn['merge_comment'] = ('List matching type: Multiple UBA capacities '\n",
    "                             'aggregated to single BNetzA power plant')\n",
    "\n",
    "# Drop duplicate rows and keep first entry\n",
    "match1tn = match1tn.reset_index().drop_duplicates(subset='ID BNetzA',keep='first').set_index('ID BNetzA')\n",
    "\n",
    "match1tn.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7.2.4 Merge into plantlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>company</th>\n",
       "      <th>name</th>\n",
       "      <th>postcode</th>\n",
       "      <th>city</th>\n",
       "      <th>street</th>\n",
       "      <th>state</th>\n",
       "      <th>block</th>\n",
       "      <th>commissioned</th>\n",
       "      <th>status</th>\n",
       "      <th>fuel_basis</th>\n",
       "      <th>...</th>\n",
       "      <th>uba_fuel</th>\n",
       "      <th>uba_id_string</th>\n",
       "      <th>uba_match_fuel</th>\n",
       "      <th>uba_match_name</th>\n",
       "      <th>uba_name</th>\n",
       "      <th>uba_name_aggregate</th>\n",
       "      <th>uba_postcode</th>\n",
       "      <th>uba_state</th>\n",
       "      <th>uba_technology</th>\n",
       "      <th>uba_technology_aggregate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0005</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT A</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ahrensfelde A bis D_Erdgas</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Ahrensfelde A bis D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0006</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT B</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ahrensfelde A bis D_Erdgas</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Ahrensfelde A bis D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0007</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT C</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ahrensfelde A bis D_Erdgas</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Ahrensfelde A bis D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0008</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT D</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ahrensfelde A bis D_Erdgas</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>Ahrensfelde A bis D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0010a</th>\n",
       "      <td>Rheinkraftwerk Albbruck-Dogern AG</td>\n",
       "      <td>RADAG</td>\n",
       "      <td>79774</td>\n",
       "      <td>Albbruck</td>\n",
       "      <td>Kraftwerkstrasse 34</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01.01.1934</td>\n",
       "      <td>operating</td>\n",
       "      <td>Laufwasser</td>\n",
       "      <td>...</td>\n",
       "      <td>Wasser</td>\n",
       "      <td>Albbruck-Dogern_Wasser</td>\n",
       "      <td>Wasser</td>\n",
       "      <td>Albbruck-Dogern</td>\n",
       "      <td>Albbruck-Dogern</td>\n",
       "      <td>NaN</td>\n",
       "      <td>79774.0</td>\n",
       "      <td>BW</td>\n",
       "      <td>LWK</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 45 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    company         name postcode  \\\n",
       "BNA0005       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0006       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0007       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0008       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0010a  Rheinkraftwerk Albbruck-Dogern AG        RADAG    79774   \n",
       "\n",
       "                 city               street              state block  \\\n",
       "BNA0005   Ahrensfelde     Lindenberger Weg        Brandenburg  GT A   \n",
       "BNA0006   Ahrensfelde     Lindenberger Weg        Brandenburg  GT B   \n",
       "BNA0007   Ahrensfelde     Lindenberger Weg        Brandenburg  GT C   \n",
       "BNA0008   Ahrensfelde     Lindenberger Weg        Brandenburg  GT D   \n",
       "BNA0010a     Albbruck  Kraftwerkstrasse 34  Baden-Württemberg   NaN   \n",
       "\n",
       "         commissioned              status  fuel_basis  ... uba_fuel  \\\n",
       "BNA0005          1990  shutdown_temporary      Erdgas  ...      NaN   \n",
       "BNA0006          1990  shutdown_temporary      Erdgas  ...      NaN   \n",
       "BNA0007          1990  shutdown_temporary      Erdgas  ...      NaN   \n",
       "BNA0008          1990  shutdown_temporary      Erdgas  ...      NaN   \n",
       "BNA0010a   01.01.1934           operating  Laufwasser  ...   Wasser   \n",
       "\n",
       "                       uba_id_string uba_match_fuel       uba_match_name  \\\n",
       "BNA0005   Ahrensfelde A bis D_Erdgas         Erdgas  Ahrensfelde A bis D   \n",
       "BNA0006   Ahrensfelde A bis D_Erdgas         Erdgas  Ahrensfelde A bis D   \n",
       "BNA0007   Ahrensfelde A bis D_Erdgas         Erdgas  Ahrensfelde A bis D   \n",
       "BNA0008   Ahrensfelde A bis D_Erdgas         Erdgas  Ahrensfelde A bis D   \n",
       "BNA0010a      Albbruck-Dogern_Wasser         Wasser      Albbruck-Dogern   \n",
       "\n",
       "                 uba_name  uba_name_aggregate uba_postcode uba_state  \\\n",
       "BNA0005               NaN                 NaN          NaN       NaN   \n",
       "BNA0006               NaN                 NaN          NaN       NaN   \n",
       "BNA0007               NaN                 NaN          NaN       NaN   \n",
       "BNA0008               NaN                 NaN          NaN       NaN   \n",
       "BNA0010a  Albbruck-Dogern                 NaN      79774.0        BW   \n",
       "\n",
       "         uba_technology uba_technology_aggregate  \n",
       "BNA0005             NaN                      NaN  \n",
       "BNA0006             NaN                      NaN  \n",
       "BNA0007             NaN                      NaN  \n",
       "BNA0008             NaN                      NaN  \n",
       "BNA0010a            LWK                      NaN  \n",
       "\n",
       "[5 rows x 45 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge the UBA DataFrames\n",
    "# Merge first two dataframes\n",
    "plantlist_uba_for_merge = match1t1.append(matchnt1, sort=True)\n",
    "\n",
    "# Add third dataframe\n",
    "plantlist_uba_for_merge = plantlist_uba_for_merge.append(match1tn,sort=True)\n",
    "\n",
    "# Merge plantlist_uba_for_merge into the plantlist\n",
    "plantlist = pd.merge(plantlist, plantlist_uba_for_merge,\n",
    "                     left_index=True, right_index=True, how='left',sort=True)\n",
    "\n",
    "plantlist.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.3 Delete fuels not in focus"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, solar, wind onshore. and wind offshore technologies are deleted from the list, as they are handled by another datapackage. Furthermore, aggregate values are excluded as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# Delete solar, wind onshore, and wind offshore\n",
    "plantlist = plantlist[(plantlist['fuel'] != 'Solar') \n",
    "                       & (plantlist['fuel'] != 'Onshore') \n",
    "                       & (plantlist['fuel'] != 'Offshore')]\n",
    "\n",
    "# Delete aggregate values\n",
    "plantlist = plantlist[(plantlist['company'] != 'EEG-Anlagen < 10 MW') \n",
    "                       & (plantlist['company'] != 'Nicht-EEG-Anlagen < 10 MW')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.4 Add Columns for shutdown and retrofit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Extract the year when plants were shutdown or retrofit, using regular expressions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>company</th>\n",
       "      <th>name</th>\n",
       "      <th>postcode</th>\n",
       "      <th>city</th>\n",
       "      <th>street</th>\n",
       "      <th>state</th>\n",
       "      <th>block</th>\n",
       "      <th>commissioned</th>\n",
       "      <th>status</th>\n",
       "      <th>fuel_basis</th>\n",
       "      <th>...</th>\n",
       "      <th>uba_technology</th>\n",
       "      <th>uba_technology_aggregate</th>\n",
       "      <th>shutdown</th>\n",
       "      <th>retrofit</th>\n",
       "      <th>uba_commissioned_1</th>\n",
       "      <th>uba_commissioned_2</th>\n",
       "      <th>uba_commissioned_3</th>\n",
       "      <th>commissioned_1</th>\n",
       "      <th>commissioned_2</th>\n",
       "      <th>commissioned_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0011</th>\n",
       "      <td>Papierfabrik Albbruck GmbH</td>\n",
       "      <td>Papierfabrik Albbruck</td>\n",
       "      <td>79774</td>\n",
       "      <td>Albbruck</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2009</td>\n",
       "      <td>shutdown</td>\n",
       "      <td>Mehrere Energieträger</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0012d</th>\n",
       "      <td>Sappi Alfeld GmbH</td>\n",
       "      <td>Werkskraftwerk Sappi Alfeld</td>\n",
       "      <td>31061</td>\n",
       "      <td>Alfeld</td>\n",
       "      <td>Mühlenmarsch 1</td>\n",
       "      <td>Niedersachsen</td>\n",
       "      <td>Dieselgenerator</td>\n",
       "      <td>1994</td>\n",
       "      <td>shutdown</td>\n",
       "      <td>Mineralölprodukte</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1994.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0059a</th>\n",
       "      <td>Volkswagen AG</td>\n",
       "      <td>HKW Kassel</td>\n",
       "      <td>34225</td>\n",
       "      <td>Baunatal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hessen</td>\n",
       "      <td>Turbine 1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>shutdown</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0075</th>\n",
       "      <td>Vattenfall Wärme Berlin AG</td>\n",
       "      <td>Lichterfelde</td>\n",
       "      <td>12207</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Ostpreußendamm 61</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Lichterfelde 1</td>\n",
       "      <td>04.09.1972</td>\n",
       "      <td>shutdown</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1972.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1972.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0076</th>\n",
       "      <td>Vattenfall Wärme Berlin AG</td>\n",
       "      <td>Lichterfelde</td>\n",
       "      <td>12207</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Ostpreußendamm 61</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Lichterfelde 3</td>\n",
       "      <td>02.08.1974</td>\n",
       "      <td>shutdown</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1974.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1974.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1225</th>\n",
       "      <td>Peißenberger Wärmegesellschaft mbH</td>\n",
       "      <td>PWG</td>\n",
       "      <td>82380</td>\n",
       "      <td>Peißenberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bayern</td>\n",
       "      <td>MHKW 2</td>\n",
       "      <td>1989</td>\n",
       "      <td>shutdown</td>\n",
       "      <td>Mehrere Energieträger</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1989.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1226</th>\n",
       "      <td>Peißenberger Wärmegesellschaft mbH</td>\n",
       "      <td>PWG</td>\n",
       "      <td>82380</td>\n",
       "      <td>Peißenberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bayern</td>\n",
       "      <td>MHKW 1</td>\n",
       "      <td>1987</td>\n",
       "      <td>shutdown</td>\n",
       "      <td>Mehrere Energieträger</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1987.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1294</th>\n",
       "      <td>Nynas GmbH &amp; Co KG</td>\n",
       "      <td>EEV</td>\n",
       "      <td>21107</td>\n",
       "      <td>Hamburg</td>\n",
       "      <td>Hohe-Schaar-Straße 34</td>\n",
       "      <td>Hamburg</td>\n",
       "      <td>EEV</td>\n",
       "      <td>26.06.1994</td>\n",
       "      <td>shutdown</td>\n",
       "      <td>Mehrere Energieträger</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1994.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1994.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1337a</th>\n",
       "      <td>DS Smith Paper Deutschland GmbH</td>\n",
       "      <td>Heizkraftwerk</td>\n",
       "      <td>63741</td>\n",
       "      <td>Aschaffenburg</td>\n",
       "      <td>Weichertstr. 7</td>\n",
       "      <td>Bayern</td>\n",
       "      <td>Heizkraftwerk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>shutdown</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1338</th>\n",
       "      <td>Eurowatt Spitzenkraft GmbH</td>\n",
       "      <td>Spitzenkraftwerk</td>\n",
       "      <td>94469</td>\n",
       "      <td>Deggendorf</td>\n",
       "      <td>Ruselbergstr. 87</td>\n",
       "      <td>Bayern</td>\n",
       "      <td>MLD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>shutdown</td>\n",
       "      <td>Mineralölprodukte</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>110 rows × 53 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     company                         name  \\\n",
       "BNA0011           Papierfabrik Albbruck GmbH        Papierfabrik Albbruck   \n",
       "BNA0012d                   Sappi Alfeld GmbH  Werkskraftwerk Sappi Alfeld   \n",
       "BNA0059a                       Volkswagen AG                   HKW Kassel   \n",
       "BNA0075           Vattenfall Wärme Berlin AG                 Lichterfelde   \n",
       "BNA0076           Vattenfall Wärme Berlin AG                 Lichterfelde   \n",
       "...                                      ...                          ...   \n",
       "BNA1225   Peißenberger Wärmegesellschaft mbH                          PWG   \n",
       "BNA1226   Peißenberger Wärmegesellschaft mbH                          PWG   \n",
       "BNA1294                  Nynas GmbH & Co KG                           EEV   \n",
       "BNA1337a     DS Smith Paper Deutschland GmbH                Heizkraftwerk   \n",
       "BNA1338           Eurowatt Spitzenkraft GmbH             Spitzenkraftwerk   \n",
       "\n",
       "         postcode           city                 street              state  \\\n",
       "BNA0011     79774       Albbruck                    NaN  Baden-Württemberg   \n",
       "BNA0012d    31061         Alfeld         Mühlenmarsch 1      Niedersachsen   \n",
       "BNA0059a    34225       Baunatal                    NaN             Hessen   \n",
       "BNA0075     12207         Berlin      Ostpreußendamm 61             Berlin   \n",
       "BNA0076     12207         Berlin      Ostpreußendamm 61             Berlin   \n",
       "...           ...            ...                    ...                ...   \n",
       "BNA1225     82380     Peißenberg                    NaN             Bayern   \n",
       "BNA1226     82380     Peißenberg                    NaN             Bayern   \n",
       "BNA1294     21107        Hamburg  Hohe-Schaar-Straße 34            Hamburg   \n",
       "BNA1337a    63741  Aschaffenburg         Weichertstr. 7             Bayern   \n",
       "BNA1338     94469     Deggendorf       Ruselbergstr. 87             Bayern   \n",
       "\n",
       "                    block commissioned    status             fuel_basis  ...  \\\n",
       "BNA0011               NaN         2009  shutdown  Mehrere Energieträger  ...   \n",
       "BNA0012d  Dieselgenerator         1994  shutdown      Mineralölprodukte  ...   \n",
       "BNA0059a        Turbine 1          NaN  shutdown                 Erdgas  ...   \n",
       "BNA0075    Lichterfelde 1   04.09.1972  shutdown                 Erdgas  ...   \n",
       "BNA0076    Lichterfelde 3   02.08.1974  shutdown                 Erdgas  ...   \n",
       "...                   ...          ...       ...                    ...  ...   \n",
       "BNA1225            MHKW 2         1989  shutdown  Mehrere Energieträger  ...   \n",
       "BNA1226            MHKW 1         1987  shutdown  Mehrere Energieträger  ...   \n",
       "BNA1294               EEV   26.06.1994  shutdown  Mehrere Energieträger  ...   \n",
       "BNA1337a    Heizkraftwerk          NaN  shutdown                 Erdgas  ...   \n",
       "BNA1338               MLD          NaN  shutdown      Mineralölprodukte  ...   \n",
       "\n",
       "         uba_technology uba_technology_aggregate shutdown retrofit  \\\n",
       "BNA0011             NaN                      NaN   2012.0      NaN   \n",
       "BNA0012d            NaN                      NaN   2018.0      NaN   \n",
       "BNA0059a            NaN                      NaN   2013.0      NaN   \n",
       "BNA0075             NaN                      NaN   2019.0      NaN   \n",
       "BNA0076             NaN                      NaN   2018.0      NaN   \n",
       "...                 ...                      ...      ...      ...   \n",
       "BNA1225             NaN                      NaN   2016.0      NaN   \n",
       "BNA1226             NaN                      NaN   2016.0      NaN   \n",
       "BNA1294             NaN                      NaN   2018.0      NaN   \n",
       "BNA1337a            NaN                      NaN   2012.0      NaN   \n",
       "BNA1338             NaN                      NaN   2014.0      NaN   \n",
       "\n",
       "         uba_commissioned_1  uba_commissioned_2 uba_commissioned_3  \\\n",
       "BNA0011                 NaN                 NaN                NaN   \n",
       "BNA0012d                NaN                 NaN                NaN   \n",
       "BNA0059a                NaN                 NaN                NaN   \n",
       "BNA0075                 NaN                 NaN                NaN   \n",
       "BNA0076                 NaN                 NaN                NaN   \n",
       "...                     ...                 ...                ...   \n",
       "BNA1225                 NaN                 NaN                NaN   \n",
       "BNA1226                 NaN                 NaN                NaN   \n",
       "BNA1294                 NaN                 NaN                NaN   \n",
       "BNA1337a                NaN                 NaN                NaN   \n",
       "BNA1338                 NaN                 NaN                NaN   \n",
       "\n",
       "         commissioned_1 commissioned_2 commissioned_3  \n",
       "BNA0011          2009.0            NaN            NaN  \n",
       "BNA0012d         1994.0            NaN            NaN  \n",
       "BNA0059a            NaN            NaN            NaN  \n",
       "BNA0075          1972.0            NaN         1972.0  \n",
       "BNA0076          1974.0            NaN         1974.0  \n",
       "...                 ...            ...            ...  \n",
       "BNA1225          1989.0            NaN            NaN  \n",
       "BNA1226          1987.0            NaN            NaN  \n",
       "BNA1294          1994.0            NaN         1994.0  \n",
       "BNA1337a            NaN            NaN            NaN  \n",
       "BNA1338             NaN            NaN            NaN  \n",
       "\n",
       "[110 rows x 53 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add columns with empty data\n",
    "plantlist['shutdown'] = 'NaN'\n",
    "\n",
    "plantlist['shutdown'] = pd.to_numeric(\n",
    "    plantlist['status'].str.extract('[\\w].+(\\d\\d\\d\\d)', expand=False),\n",
    "    errors='coerce')\n",
    "plantlist.loc[plantlist['shutdown'] > 0, 'status'] = 'shutdown'\n",
    "\n",
    "# Fill retrofit data column\n",
    "# Identify restrofit dates in UBA list\n",
    "plantlist['retrofit'] = pd.to_numeric(\n",
    "    plantlist['uba_commissioned'].str.extract('[(.+](\\d\\d\\d\\d)', expand=False),\n",
    "    errors='coerce')\n",
    "\n",
    "# Split multiple commissioning dates as listed in UBA\n",
    "plantlist['uba_commissioned_1'] = pd.to_numeric(\n",
    "    plantlist['uba_commissioned'].str.extract('(\\d\\d\\d\\d)', expand=False),\n",
    "    errors='coerce')\n",
    "\n",
    "plantlist.loc[plantlist['uba_commissioned_1'].isnull(), 'uba_commissioned_1'] = pd.to_numeric(\n",
    "    plantlist['uba_commissioned'].str.extract('(\\d\\d\\d\\d).+[\\w]', expand=False),\n",
    "    errors='coerce').loc[plantlist['uba_commissioned_1'].isnull()]\n",
    "\n",
    "plantlist['uba_commissioned_2'] = pd.to_numeric(\n",
    "    plantlist['uba_commissioned'].str.extract('[\\w].+(\\d\\d\\d\\d).+[\\w]', expand=False),\n",
    "    errors='coerce')\n",
    "plantlist['uba_commissioned_3'] = pd.to_numeric(\n",
    "    plantlist['uba_commissioned'].str.extract('[\\w].+(\\d\\d\\d\\d)', expand=False),\n",
    "    errors='coerce')\n",
    "\n",
    "plantlist.loc[plantlist['retrofit'] == plantlist['uba_commissioned_1'], 'uba_commissioned_1'] = ''\n",
    "plantlist.loc[plantlist['retrofit'] == plantlist['uba_commissioned_2'], 'uba_commissioned_2'] = ''\n",
    "plantlist.loc[plantlist['retrofit'] == plantlist['uba_commissioned_3'], 'uba_commissioned_3'] = ''\n",
    "\n",
    "# Split multiple commissioning dates as listed in BNetzA\n",
    "plantlist['commissioned_1'] = pd.to_numeric(\n",
    "    plantlist['commissioned'].str.extract('(\\d\\d\\d\\d)', expand=False),\n",
    "    errors='coerce')\n",
    "plantlist.loc[plantlist['commissioned_1'].isnull(), 'commissioned_1'] = pd.to_numeric(\n",
    "    plantlist['commissioned'].str.extract('(\\d\\d\\d\\d).+[\\w]', expand=False),\n",
    "    errors='coerce').loc[plantlist['commissioned_1'].isnull()]\n",
    "plantlist['commissioned_2'] = pd.to_numeric(\n",
    "    plantlist['commissioned'].str.extract('[\\w].+(\\d\\d\\d\\d).+[\\w]', expand=False),\n",
    "    errors='coerce')\n",
    "plantlist['commissioned_3'] = pd.to_numeric(\n",
    "    plantlist['commissioned'].str.extract('[\\w].+(\\d\\d\\d\\d)', expand=False),\n",
    "    errors='coerce')\n",
    "\n",
    "# Show plantlist\n",
    "plantlist[plantlist['status'] == 'shutdown']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.5 Convert input colums to usable data types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>company</th>\n",
       "      <th>name</th>\n",
       "      <th>postcode</th>\n",
       "      <th>city</th>\n",
       "      <th>street</th>\n",
       "      <th>state</th>\n",
       "      <th>block</th>\n",
       "      <th>commissioned</th>\n",
       "      <th>status</th>\n",
       "      <th>fuel_basis</th>\n",
       "      <th>...</th>\n",
       "      <th>retrofit</th>\n",
       "      <th>uba_commissioned_1</th>\n",
       "      <th>uba_commissioned_2</th>\n",
       "      <th>uba_commissioned_3</th>\n",
       "      <th>commissioned_1</th>\n",
       "      <th>commissioned_2</th>\n",
       "      <th>commissioned_3</th>\n",
       "      <th>capacity_float</th>\n",
       "      <th>commissioned_float</th>\n",
       "      <th>retrofit_float</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0005</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT A</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.5</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0006</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT B</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.5</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0007</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT C</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.5</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0008</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT D</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.5</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0010a</th>\n",
       "      <td>Rheinkraftwerk Albbruck-Dogern AG</td>\n",
       "      <td>RADAG</td>\n",
       "      <td>79774</td>\n",
       "      <td>Albbruck</td>\n",
       "      <td>Kraftwerkstrasse 34</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01.01.1934</td>\n",
       "      <td>operating</td>\n",
       "      <td>Laufwasser</td>\n",
       "      <td>...</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>1933</td>\n",
       "      <td>2009</td>\n",
       "      <td></td>\n",
       "      <td>1934.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1934.0</td>\n",
       "      <td>79.5</td>\n",
       "      <td>1934.0</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 56 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    company         name postcode  \\\n",
       "BNA0005       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0006       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0007       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0008       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0010a  Rheinkraftwerk Albbruck-Dogern AG        RADAG    79774   \n",
       "\n",
       "                 city               street              state block  \\\n",
       "BNA0005   Ahrensfelde     Lindenberger Weg        Brandenburg  GT A   \n",
       "BNA0006   Ahrensfelde     Lindenberger Weg        Brandenburg  GT B   \n",
       "BNA0007   Ahrensfelde     Lindenberger Weg        Brandenburg  GT C   \n",
       "BNA0008   Ahrensfelde     Lindenberger Weg        Brandenburg  GT D   \n",
       "BNA0010a     Albbruck  Kraftwerkstrasse 34  Baden-Württemberg   NaN   \n",
       "\n",
       "         commissioned              status  fuel_basis  ... retrofit  \\\n",
       "BNA0005          1990  shutdown_temporary      Erdgas  ...      NaN   \n",
       "BNA0006          1990  shutdown_temporary      Erdgas  ...      NaN   \n",
       "BNA0007          1990  shutdown_temporary      Erdgas  ...      NaN   \n",
       "BNA0008          1990  shutdown_temporary      Erdgas  ...      NaN   \n",
       "BNA0010a   01.01.1934           operating  Laufwasser  ...   2020.0   \n",
       "\n",
       "         uba_commissioned_1 uba_commissioned_2 uba_commissioned_3  \\\n",
       "BNA0005                 NaN                NaN                NaN   \n",
       "BNA0006                 NaN                NaN                NaN   \n",
       "BNA0007                 NaN                NaN                NaN   \n",
       "BNA0008                 NaN                NaN                NaN   \n",
       "BNA0010a               1933               2009                      \n",
       "\n",
       "         commissioned_1  commissioned_2 commissioned_3 capacity_float  \\\n",
       "BNA0005          1990.0             NaN            NaN           37.5   \n",
       "BNA0006          1990.0             NaN            NaN           37.5   \n",
       "BNA0007          1990.0             NaN            NaN           37.5   \n",
       "BNA0008          1990.0             NaN            NaN           37.5   \n",
       "BNA0010a         1934.0             NaN         1934.0           79.5   \n",
       "\n",
       "         commissioned_float retrofit_float  \n",
       "BNA0005              1990.0            NaN  \n",
       "BNA0006              1990.0            NaN  \n",
       "BNA0007              1990.0            NaN  \n",
       "BNA0008              1990.0            NaN  \n",
       "BNA0010a             1934.0         2020.0  \n",
       "\n",
       "[5 rows x 56 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plantlist['capacity_float'] = pd.to_numeric(\n",
    "    plantlist['capacity'], \n",
    "    errors='coerce')\n",
    "plantlist['commissioned_float'] = pd.to_numeric(\n",
    "    plantlist[['commissioned','commissioned_1','commissioned_2','commissioned_3']].max(axis=1),\n",
    "    errors='coerce')\n",
    "plantlist['retrofit_float'] = pd.to_numeric(\n",
    "    plantlist['retrofit'],\n",
    "    errors='coerce')\n",
    "plantlist.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.6 Identify generation technology"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7.6.1 Process technology information from UBA list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Split uba_technology information into technology (GT, CC,...) and type (HKW, IKW, ...)  \n",
    "Abkürzung: Erläuterung  \n",
    "BoA: Braunkohlenkraftwerk mit optimierter Anlagentechnik  \n",
    "DKW: Dampfkraftwerk  \n",
    "DT: Dampfturbine  \n",
    "DWR: Druckwasserreaktor  \n",
    "G/AK: Gasturbine mit Abhitzekessel  \n",
    "GT: Gasturbine  \n",
    "GuD: Gas- und Dampfturbinenkraftwerk  \n",
    "HEL: Leichtes Heizöl  \n",
    "HKW: Heizkraftwerk  \n",
    "HS: Schweres Heizöl  \n",
    "IKW: Industriekraftwerk  \n",
    "LWK: Laufwasserkraftwerk  \n",
    "PSW: Pumpspeicherkraftwerk  \n",
    "PV: Photovoltaik  \n",
    "SSA: Sammelschienenanlage  \n",
    "SWK: Speicherwasserkraftwerk  \n",
    "SWR: Siedewasserreaktor  \n",
    "WEA: Windenergieanlage  \n",
    "Wind (L): Wind Onshore (Land)  \n",
    "Wind (O): Wind (Offshore)  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Split uba_technology information into technology (GT, CC,...) and type (HKW, IKW, ...)\n",
    "plantlist['technology'] = plantlist['uba_technology']\n",
    "plantlist['type'] = plantlist['uba_technology']\n",
    "\n",
    "dict_technology = {\n",
    "    'GT': 'Gas turbine',\n",
    "    'GT / DT': 'Combined cycle',\n",
    "    'DT': 'Steam turbine',\n",
    "    'GuD': 'Combined cycle',\n",
    "    'DKW': 'Steam turbine',\n",
    "    'LWK': 'Run-of-river',\n",
    "    'PSW': 'Pumped storage',\n",
    "    'DWR': 'Steam turbine',  #Pressurized water reactor\n",
    "    'G/AK': 'Gas turbine',  #GT with heat recovery\n",
    "    'SWR': 'Steam turbine',  #boiling water reactor\n",
    "    'SWK': 'Reservoir',  #storage power plant\n",
    "    'SSA': 'Steam turbine',  #bus bar\n",
    "    'HKW (DT)': 'Steam turbine',\n",
    "    'HKW / GuD': 'Combined cycle',\n",
    "    'GuD / HKW': 'Combined cycle',\n",
    "    'IKW / GuD': 'Combined cycle',\n",
    "    'IKW /GuD': 'Combined cycle',\n",
    "    'GuD / IKW': 'Combined cycle',\n",
    "    'HKW / SSA': 'Steam turbine',\n",
    "    'IKW / SSA': 'Steam turbine',\n",
    "    'SSA / IKW': 'Steam turbine',\n",
    "    'HKW': '',\n",
    "    'IKW': '',\n",
    "    'IKW / HKW': '',\n",
    "    'HKW / IKW': '',\n",
    "    'IKW / HKW / GuD' : 'Combined cycle',\n",
    "    'HKW / GuD / IKW' : 'Combined cycle',\n",
    "    'GuD / HKW / IKW': 'Combined cycle',\n",
    "    }\n",
    "plantlist['technology'].replace(dict_technology, inplace=True)\n",
    "plantlist['technology'].unique()\n",
    "\n",
    "# Check if all technologies have been translated\n",
    "for technology in plantlist['technology'].unique():\n",
    "    if (technology not in dict_technology.values()) & (str(technology) != 'nan'):\n",
    "        logger.error('Untranslated technology: ' + str(technology))\n",
    "\n",
    "# Translate types\n",
    "dict_type = {\n",
    "    'HKW': 'CHP',  #thermal power plant,\n",
    "    'HKW (DT)': 'CHP',\n",
    "    'IKW': 'IPP',  #industrial power plant\n",
    "    'HKW / GuD': 'CHP',\n",
    "    'GuD / HKW': 'CHP',\n",
    "    'IKW / GuD': 'IPP',\n",
    "    'IKW /GuD': 'IPP',\n",
    "    'GuD / IKW': 'IPP',\n",
    "    'IKW / SSA': 'IPP',\n",
    "    'HKW / SSA': 'CHP',\n",
    "    'IKW / HKW': 'CHP',\n",
    "    'HKW / IKW': 'CHP',\n",
    "    'SSA / IKW': 'IPP',\n",
    "    'GT': '',\n",
    "    'GT / DT': '',\n",
    "    'DT': '',\n",
    "    'GuD': '',\n",
    "    'DKW': '',\n",
    "    'LWK': '',\n",
    "    'PSW': '',\n",
    "    'DWR': '',  #Pressurized water reactor\n",
    "    'G/AK': 'CHP',  #GT with heat recovery\n",
    "    'SWR': '',  #boiling water reactor\n",
    "    'SWK': '',  #storage power plant\n",
    "    'SSA': '',\n",
    "    'WEA': '',\n",
    "    'IKW / HKW / GuD' : 'CHP',\n",
    "    'HKW / GuD / IKW': 'CHP',\n",
    "    'GuD / HKW / IKW': 'CHP',\n",
    "}\n",
    "plantlist['type'].replace(dict_type, inplace=True)\n",
    "plantlist['type'].unique()\n",
    "\n",
    "# Check if all types have been translated\n",
    "for type in plantlist['type'].unique():\n",
    "    if (type not in dict_type.values()) & (str(type) != 'nan'):\n",
    "        logger.error('Untranslated type: ' + str(type))\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7.6.2 Identify generation technology based on BNetzA information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Set technology based on fuels\n",
    "\n",
    "plantlist.loc[(plantlist['fuel'] == 'Nuclear') & ((plantlist['technology'] == '') | (\n",
    "    plantlist['technology'].isnull())), 'technology'] = 'Steam turbine'\n",
    "\n",
    "plantlist.loc[(plantlist['fuel'] == 'Lignite') & ((plantlist['technology'] == '') | (\n",
    "    plantlist['technology'].isnull())), 'technology'] = 'Steam turbine'\n",
    "\n",
    "plantlist.loc[(plantlist['fuel'] == 'Hard Coal') & ((plantlist['technology'] == '') | (\n",
    "    plantlist['technology'].isnull())), 'technology'] = 'Steam turbine'\n",
    "\n",
    "plantlist.loc[(plantlist['fuel'] == 'Hard coal') & ((plantlist['technology'] == '') | (\n",
    "    plantlist['technology'].isnull())), 'technology'] = 'Steam turbine'\n",
    "\n",
    "plantlist.loc[(plantlist['fuel'] == 'Hydro') & ((plantlist['technology'] == '') | (\n",
    "    plantlist['technology'].isnull())), 'technology'] = 'Run-of-river'\n",
    "\n",
    "plantlist.loc[(plantlist['fuel'] == 'Hydro PSP') & \n",
    "              ((plantlist['technology'] == '') | (plantlist['technology'].isnull())), \n",
    "              'technology'] = 'Pumped storage'\n",
    "plantlist.loc[(plantlist['fuel'] == 'Hydro PSP'), 'fuel'] = 'Hydro'\n",
    "\n",
    "plantlist.loc[(plantlist['fuel'] == 'Hydro Reservoir') & \n",
    "              ((plantlist['technology'] == '') | (plantlist['technology'].isnull())), \n",
    "              'technology'] = 'RES'\n",
    "plantlist.loc[(plantlist['fuel'] == 'Hydro Reservoir'), 'fuel'] = 'Hydro'\n",
    "\n",
    "plantlist.loc[(plantlist['fuel'] == 'reservoir') & ((plantlist['technology'] == '') | \n",
    "                                                    (plantlist['technology'].isnull())), \n",
    "              'technology'] = 'RES'\n",
    "\n",
    "# Set technology based on name and block information combined with fuels (e.g. combined-cycle, gas turbine)\n",
    "# Define technology CC as combination of GT and DT\n",
    "plantlist.loc[((plantlist['name'].str.contains(\"GT\")) | (plantlist['block'].str.contains(\"GT\")))\n",
    "              & ((plantlist['name'].str.contains(\"DT\")) | (plantlist['block'].str.contains(\"DT\")))\n",
    "              & ((plantlist['technology'] == '') | (plantlist['technology'].isnull())), 'technology'] = 'Combined cycle'\n",
    "# Define technology CC if specified as GuD\n",
    "plantlist.loc[((plantlist['name'].str.contains(\"GuD\")) | (plantlist['block'].str.contains(\"GuD\"))\n",
    "               | (plantlist['name'].str.contains(\"GUD\")) | (plantlist['name'].str.contains(\"GUD\")))\n",
    "              & ((plantlist['technology'] == '') | (plantlist['technology'].isnull())), 'technology'] = 'Combined cycle'\n",
    "# Define technology GT\n",
    "plantlist.loc[((plantlist['name'].str.contains(\"GT\"))\n",
    "               | (plantlist['block'].str.contains(\"GT\"))\n",
    "               | (plantlist['name'].str.contains(\"Gasturbine\"))\n",
    "               | (plantlist['block'].str.contains(\"Gasturbine\")))\n",
    "              & ((plantlist['technology'] == '') | (plantlist['technology'].isnull())), 'technology'] = 'Gas turbine'\n",
    "# Define technology ST\n",
    "plantlist.loc[((plantlist['name'].str.contains(\"DT\"))\n",
    "               | (plantlist['block'].str.contains(\"DT\"))\n",
    "               | (plantlist['name'].str.contains(\"Dampfturbine\"))\n",
    "               | (plantlist['block'].str.contains(\"Dampfturbine\"))\n",
    "               | (plantlist['name'].str.contains(\"Dampfkraftwerk\"))\n",
    "               | (plantlist['block'].str.contains(\"Dampfkraftwerk\"))\n",
    "               | (plantlist['name'].str.contains(\"DKW\"))\n",
    "               | (plantlist['block'].str.contains(\"DKW\")))\n",
    "              & ((plantlist['technology'] == '') | (plantlist['technology'].isnull())), 'technology'] = 'Steam turbine'\n",
    "# Define technology CB\n",
    "plantlist.loc[((plantlist['name'].str.contains(\"motor\"))\n",
    "               | (plantlist['block'].str.contains(\"motor\"))\n",
    "               | (plantlist['name'].str.contains(\"Motor\"))\n",
    "               | (plantlist['block'].str.contains(\"Motor\")))\n",
    "              & ((plantlist['technology'] == '') | (plantlist['technology'].isnull())), 'technology'] = 'Combustion Engine'\n",
    "\n",
    "# Identify stroage technologies\n",
    "\n",
    "plantlist.loc[(plantlist['fuel'] == 'Other fuels') & ((plantlist[\n",
    "    'fuel_basis'] == 'Sonstige Speichertechnologien') & (plantlist['technology'].isnull())), 'technology'] = 'Storage technologies'\n",
    "\n",
    "\n",
    "# Set technology ST for all technologies which could not be identified\n",
    "plantlist.loc[((plantlist['technology'] == '')\n",
    "               | (plantlist['technology'].isnull())), 'technology'] = 'Steam turbine'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.7 Add country code"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some power plants are in Austria, Switzerland, or Luxembourg. As they are sometimes part of the German electricity system, they are included here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# Add country Code\n",
    "plantlist['country_code'] = plantlist['state']\n",
    "dict_state_country = {\n",
    "    'Brandenburg': 'DE',\n",
    "    'Baden-Württemberg': 'DE',\n",
    "    'Niedersachsen': 'DE',\n",
    "    'Bayern': 'DE',\n",
    "    'Mecklenburg-Vorpommern': 'DE',\n",
    "    'Sachsen-Anhalt': 'DE',\n",
    "    'Hessen': 'DE',\n",
    "    'Nordrhein-Westfalen': 'DE',\n",
    "    'Berlin': 'DE',\n",
    "    'Saarland': 'DE',\n",
    "    'Thüringen': 'DE',\n",
    "    'Sachsen': 'DE',\n",
    "    'Bremen': 'DE',\n",
    "    'Schleswig-Holstein': 'DE',\n",
    "    'Hamburg': 'DE',\n",
    "    'Rheinland-Pfalz': 'DE',\n",
    "    'Österreich': 'AT',\n",
    "    'Luxemburg': 'LU',\n",
    "    'Schweiz': 'CH',\n",
    "}\n",
    "plantlist['country_code'].replace(dict_state_country, inplace=True)\n",
    "\n",
    "# Check if all types have been translated\n",
    "for plant_type in plantlist['country_code'].unique():\n",
    "    if (plant_type not in dict_state_country.values()) & (str(plant_type) != 'nan'):\n",
    "        logger.error('Untranslated type: ' + str(plant_type))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.8 Add efficiency data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7.8.1 Efficiencies from research"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This sections adds efficiency data. These values have been researched by hand.  \n",
    "\n",
    "The source of each value is given in the column \"efficiency_source\". \n",
    "\n",
    "Additionally, a rating of the source has been done starting from A (e.g. website of the power plants operator) to C (e.g. Article in local newspaper)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7.8.1.1 Import data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>company</th>\n",
       "      <th>name</th>\n",
       "      <th>postcode</th>\n",
       "      <th>city</th>\n",
       "      <th>street</th>\n",
       "      <th>state</th>\n",
       "      <th>block</th>\n",
       "      <th>commissioned</th>\n",
       "      <th>status</th>\n",
       "      <th>fuel_basis</th>\n",
       "      <th>...</th>\n",
       "      <th>retrofit_float</th>\n",
       "      <th>technology</th>\n",
       "      <th>type</th>\n",
       "      <th>country_code</th>\n",
       "      <th>efficiency_net</th>\n",
       "      <th>efficiency_gross</th>\n",
       "      <th>efficiency_comment</th>\n",
       "      <th>date</th>\n",
       "      <th>efficiency_source</th>\n",
       "      <th>source_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0005</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT A</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gas turbine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0006</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT B</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gas turbine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0007</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT C</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gas turbine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0008</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT D</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gas turbine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0010a</th>\n",
       "      <td>Rheinkraftwerk Albbruck-Dogern AG</td>\n",
       "      <td>RADAG</td>\n",
       "      <td>79774</td>\n",
       "      <td>Albbruck</td>\n",
       "      <td>Kraftwerkstrasse 34</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01.01.1934</td>\n",
       "      <td>operating</td>\n",
       "      <td>Laufwasser</td>\n",
       "      <td>...</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>Run-of-river</td>\n",
       "      <td></td>\n",
       "      <td>DE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 65 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    company         name postcode  \\\n",
       "BNA0005       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0006       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0007       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0008       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0010a  Rheinkraftwerk Albbruck-Dogern AG        RADAG    79774   \n",
       "\n",
       "                 city               street              state block  \\\n",
       "BNA0005   Ahrensfelde     Lindenberger Weg        Brandenburg  GT A   \n",
       "BNA0006   Ahrensfelde     Lindenberger Weg        Brandenburg  GT B   \n",
       "BNA0007   Ahrensfelde     Lindenberger Weg        Brandenburg  GT C   \n",
       "BNA0008   Ahrensfelde     Lindenberger Weg        Brandenburg  GT D   \n",
       "BNA0010a     Albbruck  Kraftwerkstrasse 34  Baden-Württemberg   NaN   \n",
       "\n",
       "         commissioned              status  fuel_basis  ... retrofit_float  \\\n",
       "BNA0005          1990  shutdown_temporary      Erdgas  ...            NaN   \n",
       "BNA0006          1990  shutdown_temporary      Erdgas  ...            NaN   \n",
       "BNA0007          1990  shutdown_temporary      Erdgas  ...            NaN   \n",
       "BNA0008          1990  shutdown_temporary      Erdgas  ...            NaN   \n",
       "BNA0010a   01.01.1934           operating  Laufwasser  ...         2020.0   \n",
       "\n",
       "            technology type country_code efficiency_net  efficiency_gross  \\\n",
       "BNA0005    Gas turbine  NaN           DE           0.31               NaN   \n",
       "BNA0006    Gas turbine  NaN           DE           0.31               NaN   \n",
       "BNA0007    Gas turbine  NaN           DE           0.31               NaN   \n",
       "BNA0008    Gas turbine  NaN           DE           0.31               NaN   \n",
       "BNA0010a  Run-of-river                DE            NaN               NaN   \n",
       "\n",
       "         efficiency_comment        date  \\\n",
       "BNA0005                 NaN  2015-30-10   \n",
       "BNA0006                 NaN  2015-30-10   \n",
       "BNA0007                 NaN  2015-30-10   \n",
       "BNA0008                 NaN  2015-30-10   \n",
       "BNA0010a                NaN         NaN   \n",
       "\n",
       "                                          efficiency_source source_type  \n",
       "BNA0005   https://www.ffe.de/download/berichte/Endberich...           A  \n",
       "BNA0006   https://www.ffe.de/download/berichte/Endberich...           A  \n",
       "BNA0007   https://www.ffe.de/download/berichte/Endberich...           A  \n",
       "BNA0008   https://www.ffe.de/download/berichte/Endberich...           A  \n",
       "BNA0010a                                                NaN         NaN  \n",
       "\n",
       "[5 rows x 65 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Efficiencies\n",
    "data_efficiencies_bnetza = pd.read_csv(os.path.join('input/data/DE', 'input_efficiency_de.csv'),\n",
    "                                     sep=',',  # CSV field separator, default is ','\n",
    "                                     decimal='.',  # Decimal separator, default is '.')\n",
    "                                     index_col='id',\n",
    "                                     encoding='utf8')\n",
    "data_efficiencies_bnetza['efficiency_net'] = pd.to_numeric(\n",
    "    data_efficiencies_bnetza['efficiency_net'],\n",
    "    errors='coerce') \n",
    "\n",
    "data_efficiencies_bnetza = data_efficiencies_bnetza.dropna(subset=['efficiency_net'])\n",
    "\n",
    "plantlist = pd.merge(\n",
    "    plantlist, \n",
    "    data_efficiencies_bnetza, \n",
    "    left_index=True, \n",
    "    right_index=True, \n",
    "    how='left')\n",
    "\n",
    "plantlist.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7.8.1.2 Plot efficiencies by year of commissioning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>block</th>\n",
       "      <th>commissioned</th>\n",
       "      <th>status</th>\n",
       "      <th>fuel_basis</th>\n",
       "      <th>fuel_multiple1</th>\n",
       "      <th>fuel_multiple2</th>\n",
       "      <th>fuel</th>\n",
       "      <th>eeg</th>\n",
       "      <th>chp</th>\n",
       "      <th>capacity</th>\n",
       "      <th>...</th>\n",
       "      <th>commissioned_float</th>\n",
       "      <th>retrofit_float</th>\n",
       "      <th>technology</th>\n",
       "      <th>type</th>\n",
       "      <th>country_code</th>\n",
       "      <th>efficiency_net</th>\n",
       "      <th>efficiency_gross</th>\n",
       "      <th>efficiency_comment</th>\n",
       "      <th>date</th>\n",
       "      <th>efficiency_source</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0005</th>\n",
       "      <td>GT A</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>37.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gas turbine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0006</th>\n",
       "      <td>GT B</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>37.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gas turbine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0007</th>\n",
       "      <td>GT C</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>37.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gas turbine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0008</th>\n",
       "      <td>GT D</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>37.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gas turbine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0010a</th>\n",
       "      <td>NaN</td>\n",
       "      <td>01.01.1934</td>\n",
       "      <td>operating</td>\n",
       "      <td>Laufwasser</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hydro</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>79.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1934.0</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>Run-of-river</td>\n",
       "      <td></td>\n",
       "      <td>DE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 58 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         block commissioned              status  fuel_basis fuel_multiple1  \\\n",
       "BNA0005   GT A         1990  shutdown_temporary      Erdgas            NaN   \n",
       "BNA0006   GT B         1990  shutdown_temporary      Erdgas            NaN   \n",
       "BNA0007   GT C         1990  shutdown_temporary      Erdgas            NaN   \n",
       "BNA0008   GT D         1990  shutdown_temporary      Erdgas            NaN   \n",
       "BNA0010a   NaN   01.01.1934           operating  Laufwasser            NaN   \n",
       "\n",
       "         fuel_multiple2         fuel eeg chp  capacity  ...  \\\n",
       "BNA0005             NaN  Natural gas  no  no      37.5  ...   \n",
       "BNA0006             NaN  Natural gas  no  no      37.5  ...   \n",
       "BNA0007             NaN  Natural gas  no  no      37.5  ...   \n",
       "BNA0008             NaN  Natural gas  no  no      37.5  ...   \n",
       "BNA0010a            NaN        Hydro  no  no      79.5  ...   \n",
       "\n",
       "         commissioned_float retrofit_float    technology type  country_code  \\\n",
       "BNA0005              1990.0            NaN   Gas turbine  NaN            DE   \n",
       "BNA0006              1990.0            NaN   Gas turbine  NaN            DE   \n",
       "BNA0007              1990.0            NaN   Gas turbine  NaN            DE   \n",
       "BNA0008              1990.0            NaN   Gas turbine  NaN            DE   \n",
       "BNA0010a             1934.0         2020.0  Run-of-river                 DE   \n",
       "\n",
       "          efficiency_net  efficiency_gross efficiency_comment        date  \\\n",
       "BNA0005             0.31               NaN                NaN  2015-30-10   \n",
       "BNA0006             0.31               NaN                NaN  2015-30-10   \n",
       "BNA0007             0.31               NaN                NaN  2015-30-10   \n",
       "BNA0008             0.31               NaN                NaN  2015-30-10   \n",
       "BNA0010a             NaN               NaN                NaN         NaN   \n",
       "\n",
       "                                          efficiency_source  \n",
       "BNA0005   https://www.ffe.de/download/berichte/Endberich...  \n",
       "BNA0006   https://www.ffe.de/download/berichte/Endberich...  \n",
       "BNA0007   https://www.ffe.de/download/berichte/Endberich...  \n",
       "BNA0008   https://www.ffe.de/download/berichte/Endberich...  \n",
       "BNA0010a                                                NaN  \n",
       "\n",
       "[5 rows x 58 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plantlist.iloc[:,6:-1].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "plantlist_for_efficiency_analysis = plantlist\n",
    "plantlist_for_efficiency_analysis = plantlist_for_efficiency_analysis.dropna(subset=['efficiency_net'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VC6FsKLw80XmsXBjvikREXFO47QY9e/bk6aefjihYdiXchkKhSEsTERERcTTUOOenhvZCY73zuHymZnBFJGko3LYnxstxMjMzue6667jrrrsOeu25555j/PjxjB07lgkTJvDJJ59QWVnJfffdx1133cWYMWN47bXXuOaaa/jzn//cOq53796AE4LPPfdcZsyYwQknnADAlClTOOmkkzj++ON54IEHDllfaWkpxx57LOeccw7XXnsts2bN6rA2gFdffZUxY8YwZswYxo4dy65du6L+jERERCTOgpWQ0SO8LSPLaRcRSQIKtwfyaDnOf/3Xf/GnP/2J+vr6sPYzzjiDZcuW8e9//5urrrqK22+/nUAgwPXXX893v/tdVq9ezZlnntnptVesWMHPfvYz3n33XQDmz5/PqlWrqKio4J577qG2trbDsVu3bmXevHksW7aMF198kffee6/T2sBZVv3b3/6W1atX89prr9GrV6+ufiwiIiKSKPwBaN4X3tbc6LSLiCQB7ZbcVtvlOKG9TtvymTBwQtQHZefk5HD11Vdzzz33hIXBqqoqpk2bxrZt29i3bx8FBQURX3vcuHFh4+655x6eeeYZALZs2cL69evp379/u2NXrFjB2WefTb9+/QC44oor+OCDDzqt7fTTT+d73/seX/3qV5k6dSqDBw+OuGYRERFJMNl5ML7U+dknI8sJtuNLo/4ZSESku2jmti2Pl+PccMMNlJaWEgwGW9tmz57NrFmzWLNmDffffz8NDQ3tjs3MzKS5uRkAay379n3xm1W/39/691deeYWXXnqJN998k7feeouxY8d2eM391+pIR7XddNNNPPTQQ+zdu5dTTjklbLZXREREklhgOpRsgvNech4D0+NdkYiIawq3bXm8HKdfv35ceeWVlJaWtrbV19eTn58PwCOPPNLa3qdPn7B7WQOBAKtWrQKgrKyMxsbGdt+jvr6eww8/nMMOO4z33nuPZcuWdVrTuHHjePXVV/nss89oamriqaeeOmRtH330ESeccAI//OEPKS4uVrgVERFJJdl50P9kzdiKSNJRuG1r/3IcXy/IynEeY7wc5/vf/37Yrsm33norV1xxBWeeeSYDBgxobb/kkkt45plnWjeUuvbaa3n11VcZN24cy5cvD5utbeuCCy6gqamJUaNGMWfOHE455ZRO68nPz+fHP/4x48ePZ8KECYwcOZK+fft2WttvfvMbioqKGD16NL169eLCCy+M5iMRERERERGJmulsWWqyKS4uthUVFWFt69atY8SIEZFdqKHGWYrsD6TFby13795N7969aWpq4rLLLuPrX/86l112WVTX7NLnLiIiIiIi0gljzCprbXF7r2lDqfZk56VFqN3v1ltv5aWXXqKhoYFJkyYxZcqUeJckIiIiIiISEYVb4c4774x3CSIiIiIiIlHRPbciIiIiIiKS9NIi3KbSfcXJQJ+3iIiIiIh0t5QPt9nZ2dTW1ipwdRNrLbW1tWRnZ8e7FBERERERSSMpf8/t4MGDqaqqoqamJt6lpI3s7GwGDx4c7zJERERERCSNpHy4zcrKoqCgIN5liIiIiIiIiIdSflmyiIiIiIiIpD6FWxEREREREUl6CrciIiIiIiKS9DwPt8aYC4wx7xtjPjTG3NTO6+cYY+qNMatb/sxt81qlMWZNS3uF17WKiIiIiIhIcvJ0QyljjA/4LTARqAJWGmPKrbXvHtD1NWvtxR1c5lxr7XYv6xRJV+vWrWPFihWMGzeOESNGxLscERFJBA01EKwEfwCy8+JdjYiIa17P3I4DPrTWbrDW7gMWASUev6eIuDB79mxGjhzJNddcw8iRI5k9e3a8SxIRkXirXAhlQ+Hlic5j5cJ4VyQi4prX4TYf2NLmeVVL24FONca8ZYz5qzHm+DbtFnjBGLPKGHOdl4WKpJN169Zx7733hrXde++9rFu3Lk4ViYhI3DXUwPKZENoLjfXO4/KZTruISBLwOtyadtrsAc//BQy11o4G/g94ts1rp1trTwQuBP7LGHPWQW9gzHXGmApjTEVNjf7jK+LGihUrImoXEZE0EKyEjB7hbRlZTruISBLwOtxWAUe3eT4Y2Nq2g7V2p7V2d8vflwBZxpgBLc+3tjx+CjyDs8yZA8Y/YK0tttYW5+XpvhARN8aNO+hbqdN2ERFJA/4ANO8Lb2tudNpFRJKA1+F2JTDcGFNgjOkBXAWUt+1gjBlojDEtfx/XUlOtMcZvjOnT0u4HJgHveFyvSFoYMWIEs2bNCmubNWuWNpUSEUln2XkwvhR8vSArx3kcX6pNpUQkaRhrD1wlHOM3MGYy8BvAB8y31v7MGHM9gLX2PmPMLOBbQBOwF/ietfYNY0whzmwtOLs6P2at/Vln71VcXGwrKnRikIhb2i1ZREQOot2SRSSBGWNWWWuL233N63DbnRRuRUREREREUldn4dbrZckiIiIiIiIinlO4FRERERERkaSncCsiIiIi8ddQA7Urda6uiHRZZrwLEBEREZE0V7kQls90ztlt3ufs0hyYHu+qRCTJaOZWREREROKnocYJtqG90FjvPC6fqRlcEYmYwq2IiIiIxE+w0pmxbSsjy2kXEYmAwq2IiIiIxI8/4CxFbqu50WkXEYmAwq2IiIiIxE92nnOPra8XZOU4j+NLnXYRkQhoQykRERERia/AdBg4wVmK7A8o2IpIlyjcioiIiEj8Zecp1IpIVLQsWURERERERJKewq2IiIiIiIgkPYVbERERERERSXoKtyIiIiIi3a2hBmpXOo/iLX3WaUMbSomIiIiIdKfKhbB8JmT0cM74HV/q7BgtsafPOq1o5lZEREREpLs01DhhK7QXGuudx+UzNavoBX3WaUfhVkRERESkuwQrnVnEtjKynHaJLX3WaUfhVkRERESku/gDzvLYtpobnXaJLX3WaUfhVkRERESku2TnOfd9+npBVo7zOL7UaZfYSubPWptgdYk2lBIRERER6U6B6TBwgrM81h9IjrCVrJLxs9YmWF2mcCsiIiIi0t2y85IjaKWCZPqs226CFdrrtC2f6QT0ZPka4kjLkkVERERERBJBtJtgWQt7t8W6qqShmVsREREREZFEEOkmWE17YMPD8O7tsGfzF+3n/BWOusCrKhOWwq2IiIiIiEgi2L8J1vKZzoxtc2P4Jli7PoL3/hfW/67jaxxxFgw8v3vqTTAKtyIiIiIiIoli/yZYuzc4YfbD++GNGR33HzINRvwP9C/uvhoTlMKtiIiIiIhIvH3yD/j7eZ33yewNI26E4d+C7AHdU1cSUbgVERERERHpbi+eCTWvd96n/zgnzA6eAhm+7qkriSncioiIiIiIeKlxFzyZ467vkefB+X/3tp4UpXArIiIiIiISS5WL4I3p7vqe/woceban5aQLhVsREREREZFoPD0IGj521/eqfc5OyBJzCrciIiIiIiJu7f0Enhnorm/h1+GUUm/rkVYKtyIiIiIiIh1Z92v49/+46zv5bcg9wdt6pEMKtyIiIiIiIgDWwsIM9/2nN4Mx3tUjEVG4FRERERGR9LR9Obxwiru+J/wUTpjjbT0SFYVbERERERFJD0vGQN1b7vpetBb6jvS2HokphVsREREREUk9zU2wKIJdiWdY72qRbqFwKyIiIiIiyW/Ls/DaZe76HvddOOl/va1Hup3CrYiIiIiIJJ/HItjI6bJt0Mvl8T2StBRuRUREREQksTXugidz3PfXEuO0pHArIiIiIiKJ5e1b4Z3/z13f4nvh2P/ytBxJDgq3IiIiIiISX5EsMb5iF2T19q4WSVoKtyIiIiIi0n2Cm6FsqPv+WmIsLincioiIiIiId16fBpufcNf3tMcgMN3beiRlKdyKiIiIiEjsRLLE+KpGyFAkkdjw/F+SMeYC4G7ABzxkrf3lAa+fA5QBG1uanrbW/tTNWBERERERiaMdq+Bvxe769syDyz/1th5Ja56GW2OMD/gtMBGoAlYaY8qtte8e0PU1a+3FXRwrIiIiIpI+GmogWAn+AGTnRTa2fh3UroD+46DviMjf+y9fgp3vu+s7YSkccWbk79GeaL5mSRtez9yOAz601m4AMMYsAkoANwE1mrEiIiIiIqmnciEsnwkZPaB5H4wvdX+P6srZsP7eL54PnwUn/1/H/W0zLPS5r216M5gIliS7Fc3XLGnF63CbD2xp87wKGN9Ov1ONMW8BW4H/sdaujWCsiIiIiEjqa6hxQl5or/MHnOcDJxx6NrN+XXiwBef5sd/+Yga3ciG8McNdLQMnwnkvRFZ/V0TzNUva8TrctvermwP38v4XMNRau9sYMxl4FhjucizGmOuA6wCGDBkSXbUiIiIiIokqWOnMXu4PeQAZWU77oYJe7Yr22xePdPfeF62Fvi77xlI0X7OkHa/DbRVwdJvng3FmZ1tZa3e2+fsSY8zvjDED3IxtGfMA8ABAcXGxDsESERERkdTkDzjLcttqbnTaDyX3hMjeK1HOlo3ma5a043W4XQkMN8YUANXAVUDYWgdjzEDgE2utNcaMAzKAWqDuUGNFRERERNJGdp5zv+nymc7sZXOj87y9Gcw1P4U1t7i7bsHVcOojsa01ViL5miXteRpurbVNxphZwPM4x/nMt9auNcZc3/L6fcBXgG8ZY5qAvcBV1loLtDvWy3pFRERERBJaYLpzv+mBOwdHcrbsSfc41+jKbsnx0NHXLHIA4+TI1FBcXGwrKiriXYaIiIiIiHf2boNnjnLfP1GWGIvEgDFmlbW23cOVvV6WLCIiIiIi0Xj9Ktj8uLu+Y34JI3/obT0iCUrhVkREREQkkUSyxPjKPZDZy7taRJKIwq2IiIhIImqo0T2G6eCzt+Gvo9331xJjkQ4p3IqIiIgkmsqFLbvD9nCOQRlf6myqI8nvpbPh06Xu+p7xJAz5irf1iKQQhVsRERGRRNJQ4wTb0F7nDzjPB07QDG6ysRYWZrjvPz0EJoL+IhJG4VZEREQkkQQrnRnb/cEWnPM9g5UKt4nuk3/A389z1zd3NExe7W09krx0W0KXKNyKiIiIJBJ/wFmK3FZzo9MuieWJ3tAUdNf3wn/D4WO8rUdSg25L6DKFWxEREZFEkp3n/DC7fKYzY9vc6DzX7E18NTfCoh7u+2vjJ+kK3ZYQFYVbERERkUQTmO78MKtlifGz4RFYdo27voH/gNP+4Gk5kiZ0W0JUFG5FREREElF2nn6Y7U6RnC07pQoOy/euFklfui0hKgq3IiIiIpJe9tXDn3Pd99cSY+kuui0hKgq3IiIiIpLa3p4L78xz13fUbVB0s7f1iHRGtyV0mcKtiIiIiKSWSJYYX7ETsvp4V4tIV+i2hC5RuBURERGR5LW7EsoL3PfXEmORlKVwKyIiIiLJ47XLYcvT7vqe9pjOBxVJIwq3IiIiIpK4IllifFUjZOjHW5F0pe9+EREREUkMtSvh+XHu+mYfAVM/8bYeEUkqCrciIiIiEh/lw2D3Bnd9J7wGR5zhbT0iktQUbkVERETEe7YZFvrc95/eDCaCJckikvYUbkVEREQk9rY8C69d5q7vwElw3vPe1iMiKU/hVkRERESiF8nGT5eshz7HeFeLiKQlhVsRERERiUzTHnjC776/zpYVkW6gcCsiIiIinXvvLvjX99z1Pe67cNL/eluPiEg7FG5FREREJFwkS4wv3w49+3tXi0g8NdRAsBL8AcjOi3c1cggKtyIiIiLprGE7PB3BD+1aYizponIhLJ8JGT2geR+ML4XA9HhXJZ1QuBURERFJJ2/NgbW3uet78u9g+Le8rUckETXUOME2tNf5A87zgRM0g5vAFG5FREREUlkkS4ynNYCvp3e1iCSLYKUzY7s/2AJkZDntCrcJS+FWREREJFUEN0FZwF1f/1AoqfSyGpHk5Q84S5Hbam502iVhKdyKiIiIJKtV34X3f+Ou7/mvwJFne1qOSMrIznPusV0+05mxbW50nmvWNqEp3IqIiIgkA2thYYb7/tObwUSwJFlEwgWmO/fYptFuycFgkLq6OnJzc/H7IzjLOkEo3IqIiIgkorq1sKTIXd9jvgnj7vO2HpF0lJ2XFqEWYM2aNZSXl2OMwVpLSUkJRUUu/xuUIBRuRURERBJBxWFDv30AACAASURBVGz44F53fS/5EPoM87YeEUkbwWCQsrIyQqFQa9uzzz5LQUFBUs3gKtyKiIiIdLfmECyK4McwnS0rIh7atm1bWLAFCIVCbNu2jWOOOSZOVUVO4VZERETEazVvwIunu+s7fj4M+5q39YiItNi1axdvv/12vMuICYVbEema+nVQuwL6j4O+I7pvrIhIMnjlIti6xF3fr3wGPXK9rUdE0sbmzZv56KOPGDZsGEOGDAGcAFtRUcGKFStoaGhwdR1jDIMGDfKy1JhTuBWRyK2cDevb3Bc2fBac/H/ejxURSURNe+AJl/ek5Y6Gyau9rUdEkl5Xdi2uqqqitLS09fnSpUsjes+hQ4eyZcsWfD4fzc3NTJkyJanutwWFWxGJVP268HAKzvNjv33oWdhoxoqIJIqqMlg6xV3fc5bAURd6W4+IpJT9uxb7fD5CoVDYrsUHBthIjRkzhnHjxnU4I6ujgEQkvdSu6Lj9UAE1mrEiIvHy3LGwa727vtP2gi/b23pEJGUFg0GeffZZmpubaWpqAuCpp57iqaee6vI1zzrrLM4991xXff1+f1KG2v0UbkUkMv3HRdYeq7EiIt3h81p4aoC7vkdfDmf+2dt6RCQlffTRR/zxj3+M6hqTJk3i1FNPbX2+efNmHn744YP6DRuWPseGKdyKSGT6jnDukz3wvlk3M6/RjBUR8cL6+2Dlt9z1/fIK6H+yt/WISMqIRYAFyMzM5IYbbjjkjOqQIUMoLCxkw4YNrW2FhYWtm0qlA2Nt6pybVlxcbCsqKuJdhkh60G7JIpKMHjPu+04PgcnwrhYRSXqxCLDFxcVcdNFFrc/feecdysrK2r3n1o32dktOJcaYVdba4nZfU7gVERGRlLS7EsoL3PUd8T8w9g5PyxGR5BSLAHvSSSdx8cUXu+6f7Bs7eamzcKtlySIiIpIa3roZ1v7cXd9LPoQ+6XMfmoh0Lh4BtjPJvrFTvCjcioiISPKxzbDQ577/jNRZqSYiXROLAHviiSdyySWXxKgiiTXPw60x5gLgbsAHPGSt/WUH/U4GlgHTrLV/bmmrBHYBIaCpo+lnERERSXE7/g1/O9Fd35PuhuO+4209IpKQNm7cyKOPPhrVNRRgk5en4dYY4wN+C0wEqoCVxphya+277fT7FfB8O5c511q73cs6RUREJMH886uw6TF3fad+Ctl53tYjIgkjHQKs7rntGq9nbscBH1prNwAYYxYBJcC7B/SbDTwFaH99ERGRdBPaB4/3dNf3sKNhymZv6xGRuEuHANuRNWvWUF5e3uXdktOZ1+E2H9jS5nkVML5tB2NMPnAZcB4Hh1sLvGCMscD91toHPKxVREREusPHL8HLE931PeMJGHKFt/WISFykc4DtSDAYpLy8nKamJpqamgAoKyujoKBAM7gueB1u2ztM7sAdHX4D/NBaGzLmoO6nW2u3GmOOAF40xrxnrV0a9gbGXAdcB6TkOU4iIiJJ7/lToXaZu75X7IKs3t7WIyLdprKykkceeSSqa4wdO5ZLL700RhUltrq6Onw+X2uwBfD5fNTV1SncuuB1uK0Cjm7zfDCw9YA+xcCilmA7AJhsjGmy1j5rrd0KYK391BjzDM4y57Bw2zKb+wA459x68lWIiIiIO4074cm+7voeeT6c/5K39YiI52IRYMeMGUNJSUmMKkpeubm5hEKhsLZQKERubm6cKkoursOtMeZX1tofHqrtACuB4caYAqAauAqY0baDtbb1dHVjzALgL9baZ40xfiDDWrur5e+TgJ+6rVdERES6wcY/wpv/z13fCa/CEWd5W4+IeCIWAXb06NFMmTIlRhWlJr/fT0lJCWVlZWH33GrW1p1IZm4nAgcG2QvbaWtlrW0yxszC2QXZB8y31q41xlzf8vp9nbzfkcAzLTO6mcBj1tq/RVCviIiIxNriIqhf667vVfsgI8vbekQkZhRgE0NRUREFBQXaLbkLjLWdr+Q1xnwL+DZQCHzU5qU+wD+ttf/hXXmRKS4uthUVFfEuQ0REJDXs/QSeGeiu77BrYbz2fRRJdAqwkuyMMaustcXtveZm5vYx4K/AL4Cb2rTvstbuiEF9IiIikgjW/x5Wfttd38nvQO7x3tYjIl2yadMmFixYENU1FGAlGR0y3Fpr64F6YLox5gxguLX2YWPMAGNMgbV2o+dVioiISGxZC4t6gG06dF/jg6sa4eBTDUQkTjZv3szDDz8c1TVGjRrFZZddFqOKROIvkg2lbsHZ2fg44GGgB/BH4HRvShMREek+wWAwte9v2vUhPDfcXd+T7objvuNtPeKp4I5Kgp+sxX/k8fj7BeJdjnSRAqxIZCLZUOoyYCzwL4CW82f7eFKViIhIN1qzZg3l5eVhO1MWFRXFu6zovPUTWPszd30v2wq9Bnlbj3Sbza/9ikGb5uAjAx/NbB56G0POvDHeZUkHFGBFYieScLvPWmuNMRag5XgeERGRpBYMBikvL6epqYmmJmeJbllZGQUFBckzg9scgkUu/5fe51i45H1v65G4Ce6oZNCmOWRlNLJ/n+pBm35C8PgrNYMbRwqwIt0jknD7hDHmfiDXGHMt8HXgQW/KEhER6R51dXX4fL7WYAvg8/moq6tL3HBbWwHPn+yu7xlPwJArvK1HEkbwk7X4yKDtAUwhMpwlygq3nopFgD3hhBOYOnVqjCqSeGvYsYNgdTX+/Hyy+/WLdzlpwXW4tdbeaYyZCOzEue92rrX2Rc8qExER6Qa5ubmEQqGwtlAoRG5ubpwqascbV0PlH9z1vaIesnK8rUcSlv/I4/HRHNbmoxn/kdrZOha2bNnC/Pnzo7pGUVERl19+eYwqkkRVuXgxy+fOJSMzk+amJsbPm0dg8uR4l5XyIpm5pSXMKtCKiEjK8Pv9lJSUUFZWFnbPbdxmbZv2whOHues76AI496/e1iNJxd8vwOahtzFo008Itdxzu23obQzRrK1rCrASrYYdO1g+dy6hhgb2/+p0+Zw5DDzlFM3geiyS3ZKnAr8CjgBMyx9rrdWvh0VEJKkVFRVRUFAQn92Stz4Pr1zgru/5/4Ajz/G0HEl+Q868keDxV7bulqxgezAFWIm10Oefs2vzZnZu2MDHb75Jc1P4MWsZmZkEq6sVbj0Wyczt7cAl1tp1XhUjIiISL36/v3tC7YtnQc1r7vpOawBfT2/rkZTk7xdI+3tsFWDFC5/X1bFzwwZ2btxIfcvjzg0bCFZXY5ubOxzX3NSEPz+/GytNT5GE208UbEVERCKw7zP4s8vf0h9zPYz7vbf1iKSYqqoqSktLo7pGUVERU6dOxRgTo6ok2TWHQuzZupX6luC6P8zu3LiRzz/7rLWfr2dP+gwdSr+iIgKXXEJOQQF9CwroEwhQ9Y9/sHzOnLB7bjVr671Iwm2FMeZx4Fng8/2N1tqnY16ViIhIMtr4B3jzand9L3wLDh/lbT0SE8FgMD5L1gWITYA9/vjjufzyyxVgJUzTnj3s3LQpLLzu3LCBnZWVNO/b19qvZ79+5BQUMPj88+lbWEhOYSE5BQUcNmgQGT5fu9cOTJ7MwFNO0W7J3SyScJsD7AEmtWmzgMKtiIikp2eOgr3b3PWdHgKT4W09EnNr1qyhvLw8bLOxoqKieJeVcqqrq3nooYeiusbIkSP5yle+ogArYay1NNTWfhFg2wTZ4Natrf1MRgb+wYPJKShg0Omnk1NQ0Bpie3Zx9/zsfv0UartZJEcBfa2z140xP7LW/iL6kkRERBJQcAuUDXHXd/TP4Pgfe1uPeC4YDFJeXk5TU1PrOchlZWUUFBRoBrcLYhFgR4wYwRVXXBHTAJuUZ5E21ECwEvwByM6LdzUJobmpid1VVWHLiOtbQmzjzp2t/TJ79SKnsJC8E09k2OWXt4bYPkOH4uvRI6Y11X/0EbVr1tD/hBPoO2xYTK8t7YvoKKBDuAJQuBURkdTw7q9g9U3u+pZUgn+op+VI96urq8Pn87UGWwCfz0ddXZ3CbQcSNcB2JCnPIq1cCMtnQkYPaN4H40shMD3eVXWbxt27W2de227otHvz5rAdinvl5ZFTWEhg8uTWGdicggIOGziwW/5trbztNtYvXNj6fPiMGZx8882ev2+6i2W41RoQERFJTrYZFrZ/39RBso+AqZ94W48khNzcXEKhUFhbKBQit4tLFFNFsgXYjiTlWaQNNU6wDe11/oDzfOCElJrBtday95NPDgqwOzduZO+nn7b2M5mZ9BkypPV+2P0BNqeggB59+sSt/vqPPgoLtgDrH3uMY6+6SjO4HotluLUxvJaIiIh36t6BJSe463vKw1B4jaflSGLy+/2UlJRQVlYWds9tOszaxiLAfulLX+LKK69M2Htgg9XVZGRm0vbXFwl/Fmmw0pmx3R9sATKynPYkDLehfftaz4YN29Bp40aa9uxp7ZfVuzc5hYUMPPVUZ0fiYcPIKSig9+DBZGRlxfEraF/tmjUdtivceksztyIikvoqZsMH97rre/l26Nnf23okaRQVFVFQUJCSuyWnQ4DtjD8/P2wZKyTBWaT+gLMUua3mRqc9ge2rr2/3WJ3dVVXYNqsjDhs0iJyCAgqnTqXv/lnYwkKyBwxIqn9j/U9o/5enHbVL7LgOt8aYftbaHZ10eTIG9YiIiEQntA8e7+mub//x8OVl3tYjSc/v9ydtqN26dSsPPvhgVNc47rjjmDZtWlKFCzey+/Vj/Lx5yXUWaXaec4/t8pnOjG1zo/M8AWZtbXMzwW3bDgqwOzdupKG2trVfRlYWfQIBDv/Slxh64YVf7EocCJB52GFx/Apip++wYQyfMYP1jz3W2jZ8xgzN2nYDY6271cTGmPXAauBh4K/W7cBuVFxcbCsqKuJdhoiIdKdPX4OXznLX9+y/QP5F3tYj0s22bNnC/Pnzo7pGqgZYN7RbcmSaGhrYVVkZvqnThg3s2rSJUENDa78efft+cSZsmw2d/Pn5HZ4Nm2q0W7I3jDGrrLXF7b4WQbg1wATg68A44HFggbX2g1gVGi2FWxGRNPDqpVD9nLu+VwYhMzVmAiS9VVVVUVpaGtU1Ej3AJmXITFHWWj7fsaP1Htj6NvfDBrduhf35wRh6t5wN2/Zc2JzCQrIPPzy+X4SkrM7CbSTn3FrgReBFY8y5wB+Bbxtj3gJusta+GZNqRURE9mvcBU/muOs7dDqc/tih+4kkqFgE2MGDB/P1r389YQNsR5LySJ4U0NzUxO7q6nY3dNpXX9/az5edTU5BAQNGj6ZwyhRyCgvpW1hI7yFDyMzOjuNXIBIukntu+wP/Afw/4BNgNlAOjMG537bAiwJFRCSNbHkaXrvcXd9Jy2HAOG/rEYmxWGzilKwBtiNJeSRPkmkMBtlVWdm6hHh/kN21aRPNjY2t/bL79yensJAhF1zQOhvbt7DQORs2IyOOX4GIO5Hslvwm8AdgirW2qk17hTHmvtiWJSIJL473+yQlfV7tW1wE9Wvd9b2qETJiucl/YggGg13eiTeaseKdWATY/Px8Zs6cmXQBtitLi5PySJ4EZK1lb03NF+G1TYjd8/HHrf2Mz0fvo4+mb2Eh+WefHbahU4++feP4FYhEL5KfEo7raBMpa+2vYlSPiCSDyoUtOzX2cI4kGF8Kgenxripx6fNy7P0Enhnoru/Im2DML7ytJwGsWbOG8vLysDNUi4qKPB8r0UvnANuRri4tTsojeeIotG8fu7dsCVtGXL//bNhgsLVfpt9PTkEBR4wb52zs1DIT2/voo/H16BHHr0DEO5FsKPUicIW1tq7l+eHAImvtlz2sLyLaUEqkGzTUQNnQ8APkfb2gZJNmJNuTzp/X+t/Dym+763vx+5BzrLf1JJhgMMhvfvMbmtr8UJ+ZmckNN9xwyFnYaMaKe5WVlTzyyCNRXeOoo47iG9/4RsoE2I407NhB2cSJYbvl+rKzKXnxRVezr5VLlhx0JE+633O7b+fOg2Zg6zdsYPeWLeFnww4c+MWGTvtnYQsL6ZWXl/L/7iQ9xWRDKSBvf7AFsNZ+Zow5IurqRCS5BCudGci2YS0jy2lP9bDWFenyeVkLi7LAhg7d1/icJcZp/kNXXV0dPp8vLKD6fD7q6uoOGVCjGSvhYhFgBw0axLXXXpvWQSLapcWByZMZeMopabdbsm1uZs/HH7fOvLYNsw3bt7f2y8jMpE8gQO7w4QyZNCnsaJ0sfc+LtIok3IaMMUOstZsBjDFDgYQ761ZEPOYPOEtr22pudNrlYKn6ee36EJ4b7q7vSffAcbO9rScJ5ebmEgqF/zIgFAqRm5vr6dh0FIsAe/jhhzN79uy0DrCdicXS4ux+/VI21IY+/5xdmzY5s68fffRFkK2sJLT3i19+ZuXk0LewkKPOOitsJrZ3fj4Zmam354BIrEXyXXIz8Lox5tWW52cB18W+JBFJaNl5zj2jy2c6M5DNjc7zVJqFjKVU+bze+gms/Zm7vpdthV6DvK0nBfj9fkpKSigrKwu7b9bNzGs0Y1NVLAJsZmYmP/7xjxVguyC7Xz/Gz5t30NLiVA2rHWn47LN2j9XZXVUVdjas/6ijnPthi4ud+2FbZmJ79uunf38iUXB9zy2AMWYAcApggDettdsPMaRb6Z5bkW6k3X8jk0yfV3MIFrn83WfOcXDxe97Wk+K0W7J7mzZtYsGCBVFdQwHWW13ZLTnZNIdCBKurwwNsS4j9vK71Dj58PXvSJxBoDa77N3XqM3Qomb16xfErEElund1zG2m4zQeG0mbG11q7NOoKY0ThVkSkC2pXwvMuz4s94wkYcoW39Uhai0WA9fl83HzzzQqwEpWmPXvYWVkZPhPbspS4ed8Xt5tk9+/f7oZO/kGDdDasiAdisqGUMeZXwDRgLdDc0myBhAm3IiLiwhtXQ+Uf3PW9oh6ycrytR9LO5s2befjhh6O6RkZGBj/5yU8UYCUq1lq2vf46Ddu3E/r8c+rbLCXes21baz+TkYF/8GD6FhYy6PTTwzZ06ql73UUSRiT33E7BOev2c6+KERGRGGvaC08c5q7vUZPhnMXe1iNpQwFWEkljMMj6xx/n3YceYl99fYf9Mnv1IqewkCNOOumLAFtYSJ8hQ3Q2rEgSiCTcbgCyAIVbEZFEtfV5eOUCd33PfwWOPNvTciS1xSLAGmOYM2eOAqzERN2HH/JuaSmV5eURjTt2xgxGzpxJryOP1L9FkSQWSbjdA6w2xvydNgHXWvudmFclIonvndth00IYOh2Kbox3NenrxbOg5jV3fad9Dj7NPEhktmzZwvz586O+zty5cxUaulE0GzvFa1Mot+/bHApR9dJLrH3wQT5bty6i9ygoKWHk179O32OOibZcEUlAkYTb8pY/IpLuFvrB7nH+/vZqWPNTmL47vjWlg893wFP93fUd/i04+Xfe1iMpQwE2tVQuXszyuXPDjuQJTJ7s+dhotPe+A089lQ/+9CfeffDBg87Q7UyPvn05/tprOebKK8lKg13EReQLke6W3AsYYq1937uSuk67JYt0g3duh7d/eHD7qF9pBjfWNv4B3rzaXd8L34LDR3lbjyS1jRs38uijj0Z9HQXYxNawYwdlEycSamhobfNlZ1Py4ouHnIWNZmw01j70EG/ddVfE4444+WRGzpzJoDPO0L9JkTQSq92SLwHuBHoABcaYMcBPrbWXxqZMEUkKmxZ23K5wG52nB0HDx+76Tg+B0RETEk4BVoLV1WRkZhJq05aRmUmwuvqQATWasYfSGAzyj+uuY/vq1RGPPXbGDL50zTX0zs+PqgYRSX2RLEu+FRgHvAJgrV1tjCnwoCYRSWRDpztLkdtrF/eCW6BsiLu+o38Ox//I23okaXzwwQcsXNjBL5kiMGfOHDJ0BmfK8efnH7SEt7mpCb+LYBjN2P22v/UWL8yY4bp/R7pjxlhEUk8k4bbJWlt/wG9y3a9pFpHUUHSjc4+tDX7RZvyatT2Ud38Fq29y17dkE/hdBl9JSevXr+exxx6L+joKsOknu18/xs+bx/I5c8LuX3UTEt2Otdby1t138+6DD3apxjHf+x4jZ84Ma6tcsqRLNYuItOX6nltjTCnwd+Am4HLgO0CWtfZ678qLjO65FelG2i25Y7YZFvrc9c0+Eqa6XIosKWXdunU88cQTUV9HAVbaE4vdkn2HHcar3/42waqqLtVw4dNPc/hxx0X8vt29S7OIJJfO7rmNJNweBtwMTAIM8Dwwz1rb0OnAbqRwKyJxUfcOLDnBXd9TFkDhf3pajiQOBVhJBh8++SQrbr21S2OPOvtszrzrLnw9e8a2KBGRDsRkQylr7R6ccHtzrAoTEUlKFbPhg3vd9b28FnpqBiKVvffeezz++ONRX0cBVrzU3NjIkqlT2blhQ5fGn/qLX1BwqfYQFZHEdshwa4z5jbX2BmPMc7Rzj612SxaRlBbaB4+7nJEYcCpMesPbeiQuYhVgf/KTn+DzuVyyLtIFn73/Pn+dOrXL4yeXlZF7zDExrEhEpPu4mbn9Q8vjnV15A2PMBcDdgA94yFr7yw76nQwsA6ZZa/8cyVgREbeCwSB1dXXk5ubi9/sP7vDpUnjpbHcXO3sx5E+ObYEp4pCfcwJ6//33WbRoUdTXiTTARvNZxWusdI/6jz6ids0a+p9wAn2HDQt77e177+Wd3/++S9ftd/zxTHrsMTIyI9lX1B3dNysi8XTI/6pZa1e1/LUC2GutbQYwxviATqczWvr8FpgIVAErjTHl1tp32+n3K5z7eCMaKyLi1po1aygvL8fn8xEKhSgpKaGo9sdQ/Zy7C1y5BzJ7eVtkCmj3cy4qindZQPwCbEei+aziNVa6x8rbbmN9lEc+jS/5jGGj62B8KQS8P66tcvFils+dG7bjcWCyfgEoIt0nkl/Z/R2YAOxued4LeAE4rZMx44APrbUbAIwxi4AS4MCAOht4Cji5C2NFRA4pGAzyt+ee5OaCeV80vv2TjgcMnQGn/8n7wlJMMBikvLycpqYmmlrOyywrK6OgoKDbZgcTLcB2JJrPKl5jxRsfL1vGywccjROJKS+/zGFHHuk8aaiBsqEQ2us8DwHLZ8LACZCdF32xHWjYsYPlc+cSamgg1NK2fM4cBp5yimZwRaTbRBJus621+4Mt1trdLTsodyYf2NLmeRUwvm0HY0w+cBlwHuHh9pBjW8ZfB1wHMGSIzoUUkTY2PwWvfwUAP/CDQCd9Jy2HAeO6o6qUVldXh8/naw1NAD6fj7q6upgGpw8++ICFUc5qQXzvgY3ms4rXWOk6ay1v/PCHbFq8uMvXGH/bbQy77LLOOwUrIaPHF+EWICPLafcw3Aarq8nIzGwNtgAZmZkEq6sVbkWk20QSboPGmBOttf8CMMacBOw9xBjTTtuBm1L9BvihtTZkTFh3N2Ox1j4APADOUUCHqEdEUtni46He3eKOn66fgy+zJzfccIN+oI+h3NxcQqFQWFsoFCI3Nzfia6VCgO1MNJ9VvMbKoe3dvp1nznZ53347zrn/fvyDBrG4nZ2JB4wadegL+APQvC+8rbnRafeQPz+f5ja/MAFobmrCn5/v6fuKiLQVSbi9AXjSGLO15fkgYNohxlQBR7d5PhjYekCfYmBRS7AdAEw2xjS5HCsi6WrvJ/DMQHd9R/4Ixvycd955h7KyMnw+H75M5z5DBdvY8vv9lJSUtH7O++/n7Ohz3rhxI48++mjU75uoAbYzkX5WiTBWvlC5eDFv3Hhj1wYbwxXLlpHVu3eHXYbPmMH6xx4Le37gplLtys5z7rFdPtOZsW1udJ57OGsLkN2vH+PnzWP5nDlh99xq1lZEupOx1v1kpzEmCzgOZ1b1PWtt4yH6ZwIfAOcD1cBKYIa1dm0H/RcAf7HW/jnSseDM3FZUVLj+ekQkiWx5Fl47xHK8/S7+AHKGt/uSdojtHm0/508//TRtA6wb2i05cTWHQrz4H/9B7dtvd2n8iK99jbH/8z9dfv/Odks+pIYaZymyP+B5sA17W+2WLCIeM8asstYWt/eam3Nuz7PWvmyMOfDQtOHGGKy1T3c01lrbZIyZhbMLsg+Yb61da4y5vuX1+yIde6h6RSQFWAsvnw+f/OPQfU0mXLUPTHt3MhzM7/frB3kPVFVVUVpaGvV1UjXAdiaaf5PxGptqdlZW8peLLury+AuefJJ+I0fGsCJH32HDIg+1+2XndWuobX3bfv0UakUkbtwsSz4LeBm4pJ3XLNBhuAWw1i4BlhzQ1m6otdZec6ixIpKC9lTDs4Pd9T3zaTja5QyuxJQCrCS7d+fPZ/Wvf92lsb2HDOGisjJ8PXrEuCoREYkVN+H2s5bHUmvt614WIyJp4qNSWP4Nd30vr4WemgXoLtXV1Tz00ENRX0cBVuIl9PnnPDthAp/v2NGl8cU338yxM2bEuCoREekObsLt14C7gXuAE70tR0RSTnMIFo+EXR8cum/B1XDqI97XlOYUYCUV1KxezYtf/WqXx1/6/PP0HuxyxYiIiCQFN+F2nTGmEjjCGNN2RwUDWGuti33pRaQzKbWxS/17sHiEu77nvwJHdv3IDOlYMgfYlPp+kKitnDeP9YsWdWnsoNNP55z77sNkZMS4KhERj8VpU7hkd8hwa62dbowZiLOx08GHrolIVNasWUN5eXnYkRxFRUXxLsu9tT+Ht2521/fKIGQe5m09aSSZA2xHkv77Qbrk87o6njr99C6PP/Puuzl6woQYViQiEkeVC1uO8+rhnFs9vhQC0+NdVVJws1vy36215xtjnrfWbuqOokTSRTAYpLy8nKamJpqamgAoKyujoKAgMWesmkNQXQ7v3g61yzrvO/ImGPOL7qkrhW3dupUHH3ww6uskUoDtSNJ9P0jEql5+maWzZ3d5/OX//Cc9c3NjWJGISIJpqHGCbWiv8wec5wMnaAbXBTfLkgcZY84GLjHGHLQuyFr7r9iXJZIe6urq8Pl8rT/IA/h8qQZG1gAAIABJREFUPurq6hLjh/nPd8D638O626FxZ+d9L1wNh4/unrpSTCoG2K4sLY7394OWQ8eGtZZXvvlNtv3zn10af8yVVzLulltiXJWISJIIVjoztvuDLUBGltOucHtIbsLtXOAmYDBwZ0vb/gMlLXCeB3WJpIXc3FxCoVBYWygUIjdeMxOfrYZ374BNj3XcJ+8MGHEj5F8ERvexuRWrAHvzzTeTmenmP93x09WlxfH8ftBy6Mjtrq6mfNKkLo+f+Ic/kHei9qkUEQnjDzhLkdtqbnTa5ZDc3HP7Z+DPxpi5wEagwFr7U2PMEGCg1wWKpDK/309JSQllZWVhP1R3y6xRcyNsegLW3QF1b3Xc75hvwpe+BznHel9TkkunANuRaJYWx+v7QcuhO/fBwoVU3HZbl8Zm9+/PpS+8QGZ2doyr6l4NO3YQrK7Gn59Pdj8dTSYiHsrOc+6xXT7TmbFtbnSea9bWlUh+ejoKOBJnpvanwC7gKeBkD+oSSRtFRUUUFBR4vxxy78fwwf8598vapvb7HDbYmZUt/Bpk9famjiS3bds2Hnjggaivk8wBtjPRLi3utu+HNuK9HDoRNDc28pdLL2X35s1dGj/6hhs4/tprY1xVYqhcvJjlc+eSkZlJc1MT4+fNIzB5crzLEpFUFpju3GOr3ZIjFslPVuOstScaY/4NYK39zBjTw6O6RNKK3++P/Q/RNW84s7JVz3bcZ+AkGHkjHHkeGNNxvzTz8ccfc//990d9nVQNsJ2JxdJiT74fOpFwtwd46LN16/jrV77S5fEX/+Uv5BQUxLCixNbw/7d3/+FRlXfexz/fTIDggI1oFAkilLK1FdTVGKBQq1BQaEt0bR9/VfeqWB4fW7f2WduiFlxLW+1Va223rV3rr9bH1d1tpaSKAosKCopAi0bUrmipJFiJhChEAsnk+/wxJzgJBCbzIzNn5v26Lq5M7nPuOd8M94T5cJ9zn6YmrZk/X7HWVnWOkDXz5mnohAnM4ALIrrIKQm0KevOpq83MIopfZyszq5DUkZWqACStsbFRW7e8oQ/bag2u/6W083963vmj10gnXCNFj++7AvMUATY7cnqqfYrCWPOhbPjxj/VyireJOvLkkzXt/vtVkieLk+VSS0ODSkpLlfhfHyWlpWppaCDcAkAe6s0nsp9KWijpaDP7nqTPS/p2VqoCkJTFixfrry/8Qf/n+F/uv3HwGOlj35BGXSpFwn29W6p27Nihn/70p2k/DwG2d3JxanG6wlhz265d+q/x41PuP/GWWzTqc5/LYEWFJ1pZqY72rpdxdLS3K1pZmaOKAAAHk/SnNXd/wMzWS5qq+GrJ57r7K1mrDMBBNTY2au3atTosMkhbdg/Xrtggrd7xCc26/BZVVBTPaSwE2PzU16cWZ0K+1vzWqlV6cs6clPuf99RTGlhEvxMyqWzIEI1fsEBr5s3rcs0ts7YAkJ969UnO3V+V9GqWagH24X6Th9bQ0CBJej82SPfUX9GlvdDCbSYCbL9+/fStb30rb+4DCyRyd6269lq9+fjjKfUf+bnPaeLNN8u4dj7jRs6cqaETJrBaMgCEANMUyDvcbzI5lT2cFtdTe77LRIAtLS3V3LlzCbDIW7sbG7XwzDNT7j/lrrs0dOLEzBWEpJQNGUKoBYAQINwir3C/yeRVVFSourpazz///L626urqvJ61bW5u1k9+8pO0nqPU2jR39C2KWEyKDJRq/spqgsg7byxapOeuvz6lviX9++v8Z55RP37nAQDQK4Rb5BXuN9k7M2bMUFVVlRoaGlRZWZkXwTYTATYSiWju3Lldr4HdvlZ6YprU9u4HbSX94veAI9wiBzpiMS254ALteCW15SdOnDNHJ3/taxmuCgCA4kW4RV4ppvtNZkpFRUWfh9qsBdiDiY6UOvZ2betoi7cDWfTu66/r0VmzUu4/43e/0xEnnJDBigAAwIEQbpFXCvF+k2H17rvv6vbbb0/rOUpKSnTddddlZhXisgpp/N3SmtnxGduOtvj3zNpmTWtTU8qL6KTTNx3pHHfD7bfr5V/9KqXjfmj0aM343e9U0q9fr/uG8bUCACAfEW6Rd8J4v8mwykSANTNdf/31fXMbnZEXSUM/HT8VOTqSYJtFmx99VGvmz+9y+5ORM2dmvW86kjlu++7dWnjWWWrbuTOlY5w+f77GXHBBJsqVlN+vFQAAYWPunusaMqaqqsrXrVuX6zKAvBK6AIuca21q0qJp0xRrbd3XFikrU82yZYec4Uunb6ZrTkfJgAE697//u89rztVr1RfHBQAgE8xsvbtXHWgbn1SBAkCARSa1NDSopLRUiVe/l5SWqqWh4ZDhJ52+qVhz4416/be/Talv5Zln6oyf/UxNL72kJ664Qm27du3bFunXL2s1d+rr1yrXxwUAINv4FAuExK5du/SjH/0o7ee54YYbCLA4qGhlpToSViyXpI72dkWTuIdyOn170rpjhx6ePDnl/mf8679q+JQpPW7PRs3JKLbjAgCQbXzCBfIIATb7WlpauJ77EMqGDNH4BQu0Zt68LtdkJjOrl07fN5cu1TNf/3rKdVffdJPW33xzr68jTafmdOT6uKsWLFBs8GBFdu7U+HnzmLUFAIQe19wCfSwTAfbYY4/V5ZdfToDtpbq6OtXW1nZZiXvs2LG5LitvZWO1ZO/o0PLLL9e2tWtTqunvLrlEVddf36c1Z1sujtv5XiiR1CHxXgAAhAbX3AJ9LBMBdujQoZo9ezYBNkNaWlpUW1ur9vZ2tQenZC5atEijRo1iBrcHZUOGpBy22nbt0pILL0z52NMffFBHnXRSr/ulU3M6fdPR18dNfC904r0AACgEfGoGUkSADZfm5mZFIpEuH+gjkYiam5v5QJ+GV++/X3+85ZaU+g485hjNeuwxRQYMyHBVOBjeCwCAQsUnauAgWlpadOutt6b1HATYzEr1FM7y8nLFYrEubbFYTOXl5ZkuseDE9u7VH2bO1PtvvZVS/7+/9lp97EtfynBVSBXvBQBAoeLTNopeJgLsMcccoyuuuIIAm2WbH31Ua+bP7/WCQZIUjUY18bjj9Mxrr8nc5Waa+OEPM1OVYPtLL2nJBRek3P+zixfr8OOPz2BFyIZoNKqamhotWrSoy/XnvBcAAGHHglIoCpkIsEcffbS+/OUvE2BzpLWpSYumTVOstXVfW6SsTDXLliU1g9vZf4+72g87TKXvv68BZkn3LyTrf/AD/fk3v0mp79FVVZp6772ykpIMV4W+xsrhyIrWRqllsxQdKZVV5LoaoDgV+PuQBaVQFAiwha2loUElpaVKPJmypLRULQ0NSYXTzv6lu3apdM+eeP9Bg5LuHzZ7d+7UbydMSLn/pFtv1fEzZmSwIuSbaDRKqEVmbX5QWjNbKukvdeyVxt8tjbwo11UBxaXI34d8gkeoEGCLV7SyUh0JC+BIUkd7u6KVlX3SP19tffppPXXllSn3/4eVK1V25JEZrAhAUWptjH+gju2O/5Hi3w/9dEHOHAF5ifch4Rb5p62tTStXrtQzzzyT8nMQYAtP2ZAhGr9ggdbMm9flmttkZ13T7Z9L7q6VV1+thiefTKn/qJoaTfz+9zNcFQAkaNkcnynq/EAtSSX94u1F8qEayDneh4Rb5EZbW5tWrVqlFStWpPwcFRUVmjNnDgG2iIycOVNDJ0xIabXkTPTPttamJi256CK11Nen1H/qvffqmOrqDFcFAEmIjoyfApmooy3eDqBv8D4k3PaldBbvaGxsVENDgyorK1VR0bv/ecnVoiFtbW1avXq1nnrqqZSfo1gCbLEt7JLq7XwyoWzIkJyH2oYVK7TiqqtS6lsajeofnnpKpYcdluGqkMtxCYReWUX82r41s+MzRR1t8e+LZLYIyAu8Dwm3faWurk61tbVdbrswduzYpPouXrxYa9eu3fd9dXW1ZiS50Es6x01GJgLsjBkzdNpppykSiWSsrjDJ9t9Rvknndj7p9O1rHbGYnp8/X2/8/vcp9R//3e9q9HnnZbgq9CRMYwvIWyMvil/bV8CrtAJ5r8jfh9wKqA+0tLTo9ttvV3vCYjalpaW65pprDjlL19jYqF/84hf7tV911VWHnMFN57iJiinA9vXMTSb+jsI025TO7XzSvRVQtuyqr9cjn/ucOvbuPfTO3UQGDtRnfv97DRo+PAuVIVn5OrYAAMD+uBVQjjU3NysSiXQJMJFIRM3NzYcMMA0NDT22Hyrc9ua4xRRge5KLmZvm5mZZR0eXNuvoSGpsSOGbbUrndj7p3gooXW8sXKjnvv3tlPqOPv98nX7jjSoJ6Xuj0OV6bAEAgMwg3PaB8vJyxWKxLm2xWEzl5eWH7FvZw21Kemo/1HHb2tp01113HbJvT8IeYHvS2tSkNfPnK9bauu8D7pp58zR0woSsfrgdKKl9714p4Zri9r17NTCJvrmqOR3p3I6nL27l097aqpVXX62/rV6dUv9P3XGHKs84I2P1oG8U6m2iAAAoNoTbPhCNRlVTU6NFixZ1ua4ymZm5iooKVVdX6/nnn9/XVl1d3eOs7aFmYDu6zRIeyDnnnKOqqqqCC7AHk6uZG29q0rC6Om0dN07W0SEvKdGwujp5U5N0iA/WYZxtSud2PJm8lc+OV17RY5//fCo/ggaNGKHpDzyQt68xei/Mt4kCAAAfINz2kbFjx2rUqFEprYg7Y8YMVVVV7Vstuby8XCtWrEjrFOJiDLAHk6uZm2hlpQZv2aKRb76p9sMOU+n772uAWd7MZGZDOrfj6W3f1dddp821tSnVOfbKKzXuq1+VmaXUH+GS77eJAgAAh8aCUnkqFotpy5Yt2rRpkzZt2qS33367189BgO2dzYsX7zdz0xfXr6Zz3FzVnE9at2/Xw2mcCjz9wQd11EknZbAiAAAAZMvBFpQi3OZQLBZTfX29XnvtNQJsnsjVysPpHDdMqyWnY/Ojj2r1N7+Zcv/PP/ec+g8enMGKAAAA0NdyulqymZ0j6SeSIpLucvdbum2vkbRAUoekdknXuPszwbbNknZKiklq7+mHCItt27bpjjvuSHr/YcOG6SMf+YjGjBmjYcOGqaSkJIvVQYpfe5eLgJjOcXNVczZ4R4eWXXqp3tmwIaX+H73sMp32rW9luCoAAACEQVbDrZlFJP1c0jRJ9ZLWmlmtu7+csNtySbXu7mZ2kqT/lHRCwvaz3P2dbNbZV1599dX92giwKEbv/fWveiSN06fP/o//0JFjx2awovzGzD4AAMChZXvmtlrSJnd/Q5LM7CFJNZL2hVt335Wwf1RS4Zwn3c0ZZ5yhT37ykyxQg6Lxyn336U8//GFKfaOVlfrsI48o0r9/hqsKl3TuZRy2+yADAACkI9vhtlLSloTv6yWN776TmZ0n6WZJR0v6TMIml7TUzFzSv7n7nVmstU8QbFFoYnv2aNG0aWrdvj2l/qfOnasTLr00w1UVhnTuZRzG+yADAACkI9vh9kBJbr+ZWXdfKGmhmZ2h+PW3nw42TXL3rWZ2tKRlZvaqu6/scgCzOZLmSNKIESMyWjyAD7zz4otaetFFKfef9fjjGnTccRmsqPClcy/jMN4HGQAAIB3ZDrf1khI/zQ6XtLWnnd19pZmNNrOj3P0dd98atG8zs4WKn+a8slufOyXdKcVXS870DwAUm3Xf/77+54EHUuo7dOJEnXXnnTKuHc+IdO5lHNb7IAMAAKQq2+F2raQxZjZKUoOkCyVdnLiDmX1E0uvBglKnSuovabuZRSWVuPvO4PF0Sd/Jcr1AUWhradETs2dre11dSv0n33abRpx9doarQndlQ4Zo/IIF+93LOJmZ13T6AgAAhFFWw627t5vZVyUtUfxWQPe4+0YzuzLY/ktJ50u6zMzaJO2WdEEQdI9R/FTlzjr/3d0fz2a9QKFp/NOftOyLX0y5/z8884zKjjgigxWht0bOnKmhEyaktOJxOn0BAADCxtwL50zeqqoqX7duXa7LAPqUu2vDj36kV+69N6X+Y6+6Sid95SsZrgoAAADIPDNb7+5VB9qW7dOSAWTI7nfe0ZILLtD7f/tbSv1nPPywjvjoRzNcFQAAAJAfCLdAnql/4gmtvPrqlPpWnnmmJt92myIDBmS4KgAAACC/EW6BHOiIxfTaQw9p/fe/n1L/iTffrFGzZmW4KgAAACC8CLdAFu1ubNT6H/xAbz72WK/79hs0SDMXLlR02LAsVAYAAAAUFsItkAF/e/ZZPXvDDdr99tu97lt9440a/fnPc29YAAAAIA2EWyBJsb179fJdd6nu5z/vdd8hJ56o6ptu0pCPfSwLlQEAAAAg3ALd7NqyRc/fdJP+9uyzve770S9+USddfbX6DRqUhcoAAAAA9IRwi6Lk7nrv9de1Zfly1S9frqaNG5PuGxk4UBO/9z0dN326zCyLVQIAAABIFuEWBS22d6/eXrNG9cuXa8vy5drT1JR036ETJ+r0efM0+Pjjs1ghAAAAgEwg3KIg7G5sVMOTT2rLE0/oraefTqpPdNgwDZ8yRcOnTlXFqaeqpJS3AwAAABBWfJpHaLi7mjZuVP3y5ap/4gm9u2lTUv0qTjstHmKnTNHgESOyXCUAAACAXCDcIu+0v/++3lq1SlueeEL1y5ervaXlkH0iAwfquKlTNXzKFB07ebL6RaN9UCkAAACAfEG4Rc60bN26b0GnbWvXJtXn8FGjNHzqVA2fOlVHjh3LvWEBAAAASCLcIotam5q0a8sWte7YoW1r16p++XLt2rIlqb5DP/EJHTd1qirPOkuHHXNMr4/b0tCgaGWlyoYMSaX0ovHu669re12djhw3Th8aPbpXfXmdAQAAkE8It8iKzY8+quduuEEdbW097jOgvDw+Cztlio6ZMEGlZWUZOe6a+fNVUlqqjvZ2jV+wQCNnzkz7eQvR2u9+V689+OC+78dcfLFOv+GGpPryOgMAACDfmLvnuoaMqaqq8nXr1uW6jKLX2tSkRdOmKdbauq/NSks15Ve/0tGnn561e8Me6LiRsjLVLFvGzGI3777+uh6dNWu/9s/U1h5yBpfXGQAAALliZuvdvepA27hgERnX0tCw3211SsvKVDpwYNaCbU/HLSktVUtDQ9aOGVbb6+p61Z6I1xkAAAD5iHCLjItWVqqjvb1LW0d7u6KVlQV53DA6cty4XrUn4nUGAABAPiLcIuPKhgzR+AULFCkrU79BgxQpK9P4BQuyfspqro4bRh8aPVpjLr64S9uYiy9OalEpXmcAAADkI665RdbkajVdVvFNHqslAwAAIEwOds0t4RYAAAAAEAosKAUAAAAAKGiEWwAAAABA6BFuAQAAAAChR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6BFuAQAAAAChR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6BFuAQAAAAChR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6BFuAQBA79Q/Ij13RfwrAAB5ojTXBQAAgBB5ZJz03kvxx2/cLR0+Tvrsi7mtCQAAMXMLAACSVf/IB8G203t1zOACAPIC4RYAACSn/ve9awcAoA8RbgEAQHKGn9u7dgAA+hDhFgAAJGf4Z+PX2CY6fFy8HQCAHGNBKQAAkLzPvhi/xrb+9/EZW4ItACBPEG4BAEDvDP8soRYAkHc4LRkAAAAAEHpZD7dmdo6Z/dnMNpnZ3ANsrzGzF81sg5mtM7PJyfYFAAAAAEDKcrg1s4ikn0uaIenjki4ys4932225pJPd/RRJl0u6qxd9UaBaWlrU0NCglpaWXJcCAAAAIASyfc1ttaRN7v6GJJnZQ5JqJL3cuYO770rYPyrJk+2LwlRXV6fa2lpFIhHFYjHV1NRo7NixuS4LAAAAQB7L9mnJlZK2JHxfH7R1YWbnmdmrkh5VfPY26b4oLC0tLaqtrVV7e7v27Nmj9vZ2LVq0iBlcAAAAAAeV7XBrB2jz/RrcF7r7CZLOlbSgN33NbE5wre66xsbGtIpF7jU3NysSiXRpi0Qiam5uzlFFAAAAAMIg2+G2XtJxCd8Pl7S1p53dfaWk0WZ2VLJ93f1Od69y96qKiorMVI2cKS8vVywW69IWi8VUXl6eo4oAAAAAhEG2w+1aSWPMbJSZ9Zd0oaTaxB3M7CNmZsHjUyX1l7Q9mb4oPNFoVDU1NSotLdWAAQNUWlqqmpoaRaPRXJcGAAAAII9ldUEpd283s69KWiIpIuked99oZlcG238p6XxJl5lZm6Tdki5wd5d0wL7ZrBf5YezYsRo1apSam5tVXl5OsAUAAABwSBbPkYWhqqrK161bl+syAAAAAABZYGbr3b3qQNuyfVoyAAAAAABZR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6BFuAQAAAAChR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6BFuAQAAAAChR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6BFuAQAAAAChR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6BFuAQAAAAChR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6BFuAQAAAAChR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6BFuAQAAAAChR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6BFuAQAAAAChR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6BFuAQAAAAChR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6BFuAQAAAAChR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6BFuAQAAAAChR7gFAAAAAIQe4RYAAAAAEHqEWwAAAABA6GU93JrZOWb2ZzPbZGZzD7D9EjN7Mfiz2sxOTti22czqzGyDma3Ldq0AAAAAgHAqzeaTm1lE0s8lTZNUL2mtmdW6+8sJu/1F0qfcfYeZzZB0p6TxCdvPcvd3slknEGqtjVLLZik6UiqryHU1AJCf+F0JAAUvq+FWUrWkTe7+hiSZ2UOSaiTtC7fuvjph/+ckDc9yTUDh2PygtGa2VNJf6tgrjb9bGnlRrqsCgPzC70oAKArZPi25UtKWhO/rg7aezJb0WML3Lmmpma03szlZqA8Ir9bG+Ie12G6p7d341zWz4+0AgDh+VwJA0cj2zK0doM0PuKPZWYqH28kJzZPcfauZHS1pmZm96u4ru/WbI2mOJI0YMSIzVQNh0LI5PgsR2/1BW0m/eDun3AFAHL8rAaBoZHvmtl7ScQnfD5e0tftOZnaSpLsk1bj79s52d98afN0maaHipzl34e53unuVu1dVVPCPFIpIdGT89LpEHW3xdgBAHL8rAaBoZDvcrpU0xsxGmVl/SRdKqk3cwcxGSHpY0qXu/j8J7VEzG9z5WNJ0SS9luV4gPMoq4teNRQZK/Q6Pfx1/NzMRAJCI35UAUDSyelqyu7eb2VclLZEUkXSPu280syuD7b+UNF/SkZJ+YWaS1O7uVZKOkbQwaCuV9O/u/ng26wVCZ+RF0tBPswIoABwMvysBoCiY+wEvgQ2lqqoqX7eO2+ECAAAAQCEys/XBZOh+sn1aMgAAAAAAWUe4BQAAAACEHuEWAAAAABB6hFsAAAAAQOgRbgEAAAAAoUe4BQAAAACEHuEWAAAAABB6hFsAAAAAQOgRbgEAAAAAoUe4BQAAAACEHuEWAAAAABB6hFsAAAAAQOgRbgEAAAAAoUe4BdDnVq1apRtvvFGrVq3KdSkAAAAoEIRbAH1q+vTpmjx5sr7zne9o8uTJOvvss3NdEgAAAAoA4RZAn1m1apWWLVvWpW3p0qXM4AIAACBthFsAfWbp0qW9agcAAACSRbgF0GemT5/eq3YAAAAgWYRbAH1m0qRJ+wXZ6dOna9KkSTmqCAAAAIWiNNcFACguS5Ys0apVq7R06VKCLQAAADKGcAugz02aNIlQCwAAgIzitGQAAAAAQOgRbgEAAAAAoUe4BQAAAACEHuEWAAAAABB6hFsAAAAAQOgRbgEAAAAAoUe4BQAAAACEHuEWAAAAABB6hFsAAAAAQOgRbgEAAAAAoUe4BQAAAACEHuEWAAAAABB6hFsAAAAAQOgRbgEAAAAAoUe4BQAAAACEnrl7rmvIGDNrlPTXPjjUUZLe6YPjoLgwrpAtjC1kA+MK2cC4QrYwtgrH8e5ecaANBRVu+4qZrXP3qlzXgcLCuEK2MLaQDYwrZAPjCtnC2CoOnJYMAAAAAAg9wi0AAAAAIPQIt6m5M9cFoCAxrpAtjC1kA+MK2cC4QrYwtooA19wCAAAAAEKPmVsAAAAAQOgRbiWZ2T1mts3MXkpoO9nMnjWzOjP7g5kdnrDtpGDbxmB7WdB+WvD9JjP7qZlZLn4e5I/ejC0zu8TMNiT86TCzU4JtjC3s08tx1c/Mfh20v2Jm1yX0YVxhn16Oq/5mdm/Q/oKZnZnQh3GFfczsODN7Mvj9s9HMvha0DzGzZWb2WvD1iIQ+1wXj589mdnZCO2ML+/R2bJnZkcH+u8zsZ92ei7FVIAi3cfdJOqdb212S5rr7OEkLJX1DksysVNL/k3Slu58o6UxJbUGfOyTNkTQm+NP9OVF87lOSY8vdH3D3U9z9FEmXStrs7huCPowtJLpPSY4rSV+QNCBoP03S/zazkcE2xhUS3afkx9WXJSlonybpR2bW+ZmCcYVE7ZL+2d0/JmmCpK+Y2cclzZW03N3HSFoefK9g24WSTlR87PzCzCLBczG2kKhXY0tSq6R5kq49wHMxtgoE4VaSu6+U1NSt+aOSVgaPl0k6P3g8XdKL7v5C0He7u8fM7FhJh7v7sx6/kPk3ks7NfvXIZ70cW4kukvSgJDG20F0vx5VLigb/MTdQ0l5J7zGu0F0vx9XHFf/QKHffJqlZUhXjCt25+1vu/sfg8U5Jr0iqlFQj6dfBbr/WB+OkRtJD7r7H3f8iaZOkasYWuuvt2HL3Fnd/RvGQuw9jq7AQbnttljFmAAAHa0lEQVT2kqRZweMvSDouePx3ktzMlpjZH83sm0F7paT6hP71QRvQXU9jK9EFCsKtGFtITk/j6reSWiS9JelNSbe6e5MYV0hOT+PqBUk1ZlZqZqMUPyvgODGucBDBWSN/L2mNpGPc/S0pHlIkHR3sVilpS0K3zjHE2EKPkhxbPWFsFRDCbc8uV/z0hvWSBis+2yFJpZImS7ok+HqemU2VdKBz81mKGgfS09iSJJnZeEnvu3vndW+MLSSjp3FVLSkmaZikUZL+2cw+LMYVktPTuLpH8Q+A6yTdLmm14qcIMq5wQGY2SNLvJF3j7u8dbNcDtPlB2lHkejG2enyKA7QxtkKqNNcF5Ct3f1XxU5BlZn8n6TPBpnpJK9z9nWDbYkmnKn4d7vCEpxguaWufFYzQOMjY6nShPpi1leJjjrGFgzrIuLpY0uPu3iZpm5mtklQl6WkxrnAIPY0rd2+X9PXO/cxstaTXJO0Q4wrdmFk/xcPHA+7+cND8tpkd6+5vBaeFbgva69X1jKbOMcS/hdhPL8dWTxhbBYSZ2x6Y2dHB1xJJ35b0y2DTEkknmdlhwTVsn5L0cnDaw04zmxCssHaZpEU5KB157iBjq7PtC5Ie6mxjbCEZBxlXb0qaYnFRxRfdeJVxhWT0NK6CfwOjweNpktrdnX8LsZ9gHNwt6RV3vy1hU62kfwwe/6M+GCe1ki40swHBKe9jJD3P2EJ3KYytA2JsFRaLXzdd3MzsQcVXPT5K0tuSbpQ0SNJXgl0elnRdcJG5zOyLkq5T/JSFxe7+zaC9SvHVJgdKekzS1c4LXNRSGFtnSrrF3Sd0ex7GFvbpzbgKTte6V/EFgEzSve7+w+B5GFfYp5fjaqTi/9nbIalB0mx3/2vwPIwr7GNmkxU/U6RO8fEiSdcrfm3kf0oaofh/wn0hWA9AZnaD4qfEtyt+quljQTtjC/ukOLY2SzpcUn/FF8Kb7u4vM7YKB+EWAAAAABB6nJYMAAAAAAg9wi0AAAAAIPQItwAAAACA0CPcAgAAAABCj3ALAAAAAAg9wi0AAAAAIPQItwAA9DEzqzKzn6bQb7GZlWejpoRj7DrE9h+a2cbg67+Y2bUpHudcM/t4alUCALA/7nMLAAD2MbNd7j7oINvfk1Th7nvM7F8k7XL3W1M4zn2SHnH336ZcLAAACZi5BQAUNTO7zMxeNLMXzOx+MzvezJYHbcvNbESw331mdoeZPWlmb5jZp8zsHjN7JQhqnc+3y8x+YGbrzey/zazazJ4K+swK9jnTzB4JHn/KzDYEf/5kZoPN7FgzWxm0vWRmnwz23WxmRwWP/2+w7SUzuyZoGxnU86tgdnWpmQ0Mto02s8eDup42sxOC9lFm9qyZrTWzBYd4rWolRSWtMbMLum07xcyeC163hWZ2RND+5eC5XzCz35nZYWb2CUmzJP0w+BlHp/0XCQAoeoRbAEDRMrMTJd0gaYq7nyzpa5J+Juk37n6SpAckJZ4+fISkKZK+LukPkn4s6URJ48zslGCfqKSn3P00STslfVfSNEnnSfrOAcq4VtJX3P0USZ+UtFvSxZKWBG0nS9rQre7TJH1J0nhJEyR92cz+Ptg8RtLP3f1ESc2Szg/a75R0dVDXtZJ+EbT/RNId7n66pL8d7PVy91mSdrv7Ke7+H902/0bSt4LXrU7SjUH7w+5+evD6viJptruvllQr6RvBc71+sOMCAJAMwi0AoJhNkfRbd39Hkty9SdJESf8ebL9f0uSE/f/g8et56iS97e517t4haaOkkcE+eyU9Hjyuk7TC3duCxyO1v1WSbjOzf5JU7u7tktZK+lJw2u84d9/Zrc9kSQvdvcXdd0l6WPFgLEl/cffOMLxe0kgzGyTpE5L+y8w2SPo3SccG+0yS9GDCz9trZvahoPYVQdOvJZ0RPB4bzBTXSbpE8f8MAAAg4wi3AIBiZpIOtfhE4vY9wdeOhMed35cGj9v8gwUt9u0XhOBSdePut0i6QtJASc+Z2QnuvlLxcNgg6X4zu+wAdfcksa5YcMwSSc3BLGnnn4/18DNm2n2Svuru4yTdJKksi8cCABQxwi0AoJgtl/S/zOxISTKzIZJWS7ow2H6JpGeyWYCZjQ5mgH8gaZ2kE8zseEnb3P1Xku6WdGq3bislnRtcvxpV/JTnp3s6hru/J+kvZvaF4JhmZicHm1ep68/ba+7+rqQdndcGS7pUUucs7mBJb5lZv27PvzPYBgBARhBuAQBFy903SvqepBVm9oKk2yT9k+KnBL+oeEj7WpbLuCZYFOoFxa+3fUzSmZI2mNmfFL9m9ifd6v6j4jOiz0taI+kud//TIY5ziaTZwXE2SqoJ2r8m6StmtlbSh9L4Of5R8QWiXpR0ij64vnheUOMySa8m7P+QpG8Ei2ixoBQAIG3cCggAAAAAEHrM3AIAAAAAQm+/hS0AAEBxM7Nx2n/l5D3uPj4X9QAAkAxOSwYAAAAAhB6nJQMAAAAAQo9wCwAAAAAIPcItAAAAACD0CLcAAAAAgNAj3AIAAAAAQu//A9hd6DXfhX46AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot efficiencies for lignite, coal, oil, and natural gas\n",
    "\n",
    "fuel_for_plot = ['Lignite', 'Hard coal', 'Oil', 'Natural gas']\n",
    "col_dict = {'Lignite': 'brown', 'Hard coal': 'grey', 'Oil': 'k', 'Natural gas': 'orange'}\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(16,8))\n",
    "\n",
    "for fuels in fuel_for_plot:\n",
    "     \n",
    "    sub_df = plantlist_for_efficiency_analysis[plantlist_for_efficiency_analysis.fuel == fuels]\n",
    "    \n",
    "    if len(sub_df['efficiency_net']) > 10:\n",
    "        x = np.array(sub_df['commissioned_float'].astype(int))\n",
    "        fit = np.polyfit(x, sub_df['efficiency_net'], deg=1)\n",
    "        ax.plot(x, fit[0]*x + fit[1],  color=col_dict[fuels])\n",
    "    \n",
    "    sub_df.plot(ax=ax,\n",
    "                kind='scatter',\n",
    "                x='commissioned_float',\n",
    "                y='efficiency_net',\n",
    "                c=col_dict[fuels],\n",
    "                label=fuels)                                                      "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7.8.2 Efficiencies from literature"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Jonas Egerer, Clemens Gerbaulet, Richard Ihlenburg, Friedrich Kunz, Benjamin Reinhard, Christian von Hirschhausen, Alexander Weber, Jens Weibezahn (2014): **Electricity Sector Data for Policy-Relevant Modeling: Data Documentation and Applications to the German and European Electricity Markets**. DIW Data Documentation 72, Berlin, Germany."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7.8.2.1 Import data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For each energy source - technology combination two values are read, to be applied as a linear approximation based on the year of commissioning. Therefore, the efficiency is made up of the efficiency_intercept (the efficiency at \"year zero\") plus the efficiency_slope multiplied by the year of commissioning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>efficiency_intercept</th>\n",
       "      <th>efficiency_slope</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fuel</th>\n",
       "      <th>technology</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Biomass and biogas</th>\n",
       "      <th>Steam turbine</th>\n",
       "      <td>0.380</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Combustion Engine</th>\n",
       "      <td>-2.358</td>\n",
       "      <td>0.0014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Hard coal</th>\n",
       "      <th>Steam turbine</th>\n",
       "      <td>-4.575</td>\n",
       "      <td>0.0025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Combined cycle</th>\n",
       "      <td>-8.460</td>\n",
       "      <td>0.0045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Natural gas</th>\n",
       "      <th>Combustion Engine</th>\n",
       "      <td>-2.358</td>\n",
       "      <td>0.0014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Combined cycle</th>\n",
       "      <td>-8.460</td>\n",
       "      <td>0.0045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gas turbine</th>\n",
       "      <td>-4.820</td>\n",
       "      <td>0.0026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hp</th>\n",
       "      <td>0.950</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ic</th>\n",
       "      <td>0.380</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steam turbine</th>\n",
       "      <td>-1.815</td>\n",
       "      <td>0.0011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lignite</th>\n",
       "      <th>Steam turbine</th>\n",
       "      <td>-4.400</td>\n",
       "      <td>0.0024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Oil</th>\n",
       "      <th>Combustion Engine</th>\n",
       "      <td>-2.358</td>\n",
       "      <td>0.0014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gas turbine</th>\n",
       "      <td>-4.820</td>\n",
       "      <td>0.0026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Combined cycle</th>\n",
       "      <td>0.380</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ic</th>\n",
       "      <td>0.380</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steam turbine</th>\n",
       "      <td>-1.815</td>\n",
       "      <td>0.0011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nuclear</th>\n",
       "      <th>Steam turbine</th>\n",
       "      <td>0.330</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">Waste</th>\n",
       "      <th>Gas turbine</th>\n",
       "      <td>0.330</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steam turbine</th>\n",
       "      <td>0.330</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Combined cycle</th>\n",
       "      <td>0.330</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">Hydro</th>\n",
       "      <th>Pumped storage</th>\n",
       "      <td>0.750</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reservoir</th>\n",
       "      <td>0.800</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Run-of-river</th>\n",
       "      <td>0.800</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Other fossil fuels</th>\n",
       "      <th>Gas turbine</th>\n",
       "      <td>0.330</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Combined cycle</th>\n",
       "      <td>0.330</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steam turbine</th>\n",
       "      <td>0.330</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Combustion Engine</th>\n",
       "      <td>-2.358</td>\n",
       "      <td>0.0014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      efficiency_intercept  efficiency_slope\n",
       "fuel               technology                                               \n",
       "Biomass and biogas Steam turbine                     0.380            0.0000\n",
       "                   Combustion Engine                -2.358            0.0014\n",
       "Hard coal          Steam turbine                    -4.575            0.0025\n",
       "                   Combined cycle                   -8.460            0.0045\n",
       "Natural gas        Combustion Engine                -2.358            0.0014\n",
       "                   Combined cycle                   -8.460            0.0045\n",
       "                   Gas turbine                      -4.820            0.0026\n",
       "                   hp                                0.950            0.0000\n",
       "                   ic                                0.380            0.0000\n",
       "                   Steam turbine                    -1.815            0.0011\n",
       "Lignite            Steam turbine                    -4.400            0.0024\n",
       "Oil                Combustion Engine                -2.358            0.0014\n",
       "                   Gas turbine                      -4.820            0.0026\n",
       "                   Combined cycle                    0.380            0.0000\n",
       "                   ic                                0.380            0.0000\n",
       "                   Steam turbine                    -1.815            0.0011\n",
       "Nuclear            Steam turbine                     0.330            0.0000\n",
       "Waste              Gas turbine                       0.330            0.0000\n",
       "                   Steam turbine                     0.330            0.0000\n",
       "                   Combined cycle                    0.330            0.0000\n",
       "Hydro              Pumped storage                    0.750            0.0000\n",
       "                   Reservoir                         0.800            0.0000\n",
       "                   Run-of-river                      0.800            0.0000\n",
       "Other fossil fuels Gas turbine                       0.330            0.0000\n",
       "                   Combined cycle                    0.330            0.0000\n",
       "                   Steam turbine                     0.330            0.0000\n",
       "                   Combustion Engine                -2.358            0.0014"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_efficiencies_literature = pd.read_csv(os.path.join('input/data/DE','input_efficiency_literature_by_fuel_technology.csv'),\n",
    "                                     sep=',',  # CSV field separator, default is ','\n",
    "                                     decimal='.',  # Decimal separator, default is '.')  \n",
    "                                     encoding='utf8')\n",
    "#data_efficiencies_literature['technology'] = data_efficiencies_literature['technology'].str.upper()\n",
    "data_efficiencies_literature = data_efficiencies_literature.set_index(['fuel','technology'])\n",
    "data_efficiencies_literature"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7.8.2.2 Apply efficiency approximation from literature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>company</th>\n",
       "      <th>name</th>\n",
       "      <th>postcode</th>\n",
       "      <th>city</th>\n",
       "      <th>street</th>\n",
       "      <th>state</th>\n",
       "      <th>block</th>\n",
       "      <th>commissioned</th>\n",
       "      <th>status</th>\n",
       "      <th>fuel_basis</th>\n",
       "      <th>...</th>\n",
       "      <th>country_code</th>\n",
       "      <th>efficiency_net</th>\n",
       "      <th>efficiency_gross</th>\n",
       "      <th>efficiency_comment</th>\n",
       "      <th>date</th>\n",
       "      <th>efficiency_source</th>\n",
       "      <th>source_type</th>\n",
       "      <th>efficiency_intercept</th>\n",
       "      <th>efficiency_slope</th>\n",
       "      <th>efficiency_literature</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0005</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT A</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "      <td>A</td>\n",
       "      <td>-4.82</td>\n",
       "      <td>0.0026</td>\n",
       "      <td>0.354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0006</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT B</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "      <td>A</td>\n",
       "      <td>-4.82</td>\n",
       "      <td>0.0026</td>\n",
       "      <td>0.354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0007</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT C</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "      <td>A</td>\n",
       "      <td>-4.82</td>\n",
       "      <td>0.0026</td>\n",
       "      <td>0.354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0008</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT D</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "      <td>A</td>\n",
       "      <td>-4.82</td>\n",
       "      <td>0.0026</td>\n",
       "      <td>0.354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0010a</th>\n",
       "      <td>Rheinkraftwerk Albbruck-Dogern AG</td>\n",
       "      <td>RADAG</td>\n",
       "      <td>79774</td>\n",
       "      <td>Albbruck</td>\n",
       "      <td>Kraftwerkstrasse 34</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01.01.1934</td>\n",
       "      <td>operating</td>\n",
       "      <td>Laufwasser</td>\n",
       "      <td>...</td>\n",
       "      <td>DE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.800</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 68 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    company         name postcode  \\\n",
       "BNA0005       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0006       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0007       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0008       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0010a  Rheinkraftwerk Albbruck-Dogern AG        RADAG    79774   \n",
       "\n",
       "                 city               street              state block  \\\n",
       "BNA0005   Ahrensfelde     Lindenberger Weg        Brandenburg  GT A   \n",
       "BNA0006   Ahrensfelde     Lindenberger Weg        Brandenburg  GT B   \n",
       "BNA0007   Ahrensfelde     Lindenberger Weg        Brandenburg  GT C   \n",
       "BNA0008   Ahrensfelde     Lindenberger Weg        Brandenburg  GT D   \n",
       "BNA0010a     Albbruck  Kraftwerkstrasse 34  Baden-Württemberg   NaN   \n",
       "\n",
       "         commissioned              status  fuel_basis  ... country_code  \\\n",
       "BNA0005          1990  shutdown_temporary      Erdgas  ...           DE   \n",
       "BNA0006          1990  shutdown_temporary      Erdgas  ...           DE   \n",
       "BNA0007          1990  shutdown_temporary      Erdgas  ...           DE   \n",
       "BNA0008          1990  shutdown_temporary      Erdgas  ...           DE   \n",
       "BNA0010a   01.01.1934           operating  Laufwasser  ...           DE   \n",
       "\n",
       "         efficiency_net efficiency_gross efficiency_comment        date  \\\n",
       "BNA0005            0.31              NaN                NaN  2015-30-10   \n",
       "BNA0006            0.31              NaN                NaN  2015-30-10   \n",
       "BNA0007            0.31              NaN                NaN  2015-30-10   \n",
       "BNA0008            0.31              NaN                NaN  2015-30-10   \n",
       "BNA0010a            NaN              NaN                NaN         NaN   \n",
       "\n",
       "                                          efficiency_source source_type  \\\n",
       "BNA0005   https://www.ffe.de/download/berichte/Endberich...           A   \n",
       "BNA0006   https://www.ffe.de/download/berichte/Endberich...           A   \n",
       "BNA0007   https://www.ffe.de/download/berichte/Endberich...           A   \n",
       "BNA0008   https://www.ffe.de/download/berichte/Endberich...           A   \n",
       "BNA0010a                                                NaN         NaN   \n",
       "\n",
       "         efficiency_intercept efficiency_slope efficiency_literature  \n",
       "BNA0005                 -4.82           0.0026                 0.354  \n",
       "BNA0006                 -4.82           0.0026                 0.354  \n",
       "BNA0007                 -4.82           0.0026                 0.354  \n",
       "BNA0008                 -4.82           0.0026                 0.354  \n",
       "BNA0010a                 0.80           0.0000                 0.800  \n",
       "\n",
       "[5 rows x 68 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plantlist = plantlist.join(data_efficiencies_literature,on=['fuel','technology'])\n",
    "plantlist['efficiency_literature'] = plantlist['efficiency_intercept'] + plantlist['efficiency_slope']*plantlist[['commissioned_float','retrofit_float']].max(axis=1)\n",
    "plantlist.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.9 Add geodata and EIC Codes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The locations of power plants have been researched manually, these are now added to the output. Checking was done visually using satellite imagery and other mapping material."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>name</th>\n",
       "      <th>postcode</th>\n",
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       "      <th>commissioned</th>\n",
       "      <th>status</th>\n",
       "      <th>fuel_basis</th>\n",
       "      <th>...</th>\n",
       "      <th>date</th>\n",
       "      <th>efficiency_source</th>\n",
       "      <th>source_type</th>\n",
       "      <th>efficiency_intercept</th>\n",
       "      <th>efficiency_slope</th>\n",
       "      <th>efficiency_literature</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>eic_code_plant</th>\n",
       "      <th>eic_code_block</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0005</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT A</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "      <td>A</td>\n",
       "      <td>-4.82</td>\n",
       "      <td>0.0026</td>\n",
       "      <td>0.354</td>\n",
       "      <td>52.58950</td>\n",
       "      <td>13.558652</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0006</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT B</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "      <td>A</td>\n",
       "      <td>-4.82</td>\n",
       "      <td>0.0026</td>\n",
       "      <td>0.354</td>\n",
       "      <td>52.58950</td>\n",
       "      <td>13.558652</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0007</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT C</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "      <td>A</td>\n",
       "      <td>-4.82</td>\n",
       "      <td>0.0026</td>\n",
       "      <td>0.354</td>\n",
       "      <td>52.58950</td>\n",
       "      <td>13.558652</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0008</th>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>16356</td>\n",
       "      <td>Ahrensfelde</td>\n",
       "      <td>Lindenberger Weg</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>GT D</td>\n",
       "      <td>1990</td>\n",
       "      <td>shutdown_temporary</td>\n",
       "      <td>Erdgas</td>\n",
       "      <td>...</td>\n",
       "      <td>2015-30-10</td>\n",
       "      <td>https://www.ffe.de/download/berichte/Endberich...</td>\n",
       "      <td>A</td>\n",
       "      <td>-4.82</td>\n",
       "      <td>0.0026</td>\n",
       "      <td>0.354</td>\n",
       "      <td>52.58950</td>\n",
       "      <td>13.558652</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0010a</th>\n",
       "      <td>Rheinkraftwerk Albbruck-Dogern AG</td>\n",
       "      <td>RADAG</td>\n",
       "      <td>79774</td>\n",
       "      <td>Albbruck</td>\n",
       "      <td>Kraftwerkstrasse 34</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01.01.1934</td>\n",
       "      <td>operating</td>\n",
       "      <td>Laufwasser</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.800</td>\n",
       "      <td>47.58629</td>\n",
       "      <td>8.132070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 72 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    company         name postcode  \\\n",
       "BNA0005       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0006       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0007       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0008       Lausitz Energie Kraftwerke AG  Ahrensfelde    16356   \n",
       "BNA0010a  Rheinkraftwerk Albbruck-Dogern AG        RADAG    79774   \n",
       "\n",
       "                 city               street              state block  \\\n",
       "BNA0005   Ahrensfelde     Lindenberger Weg        Brandenburg  GT A   \n",
       "BNA0006   Ahrensfelde     Lindenberger Weg        Brandenburg  GT B   \n",
       "BNA0007   Ahrensfelde     Lindenberger Weg        Brandenburg  GT C   \n",
       "BNA0008   Ahrensfelde     Lindenberger Weg        Brandenburg  GT D   \n",
       "BNA0010a     Albbruck  Kraftwerkstrasse 34  Baden-Württemberg   NaN   \n",
       "\n",
       "         commissioned              status  fuel_basis  ...        date  \\\n",
       "BNA0005          1990  shutdown_temporary      Erdgas  ...  2015-30-10   \n",
       "BNA0006          1990  shutdown_temporary      Erdgas  ...  2015-30-10   \n",
       "BNA0007          1990  shutdown_temporary      Erdgas  ...  2015-30-10   \n",
       "BNA0008          1990  shutdown_temporary      Erdgas  ...  2015-30-10   \n",
       "BNA0010a   01.01.1934           operating  Laufwasser  ...         NaN   \n",
       "\n",
       "                                          efficiency_source source_type  \\\n",
       "BNA0005   https://www.ffe.de/download/berichte/Endberich...           A   \n",
       "BNA0006   https://www.ffe.de/download/berichte/Endberich...           A   \n",
       "BNA0007   https://www.ffe.de/download/berichte/Endberich...           A   \n",
       "BNA0008   https://www.ffe.de/download/berichte/Endberich...           A   \n",
       "BNA0010a                                                NaN         NaN   \n",
       "\n",
       "         efficiency_intercept efficiency_slope  efficiency_literature  \\\n",
       "BNA0005                 -4.82           0.0026                  0.354   \n",
       "BNA0006                 -4.82           0.0026                  0.354   \n",
       "BNA0007                 -4.82           0.0026                  0.354   \n",
       "BNA0008                 -4.82           0.0026                  0.354   \n",
       "BNA0010a                 0.80           0.0000                  0.800   \n",
       "\n",
       "               lat        lon eic_code_plant eic_code_block  \n",
       "BNA0005   52.58950  13.558652            NaN            NaN  \n",
       "BNA0006   52.58950  13.558652            NaN            NaN  \n",
       "BNA0007   52.58950  13.558652            NaN            NaN  \n",
       "BNA0008   52.58950  13.558652            NaN            NaN  \n",
       "BNA0010a  47.58629   8.132070            NaN            NaN  \n",
       "\n",
       "[5 rows x 72 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_plant_locations = pd.read_csv(os.path.join('input/data/DE','input_plant_locations_de.csv'),\n",
    "                                     sep=',',  # CSV field separator, default is ','\n",
    "                                     decimal='.',  # Decimal separator, default is '.')  \n",
    "                                     encoding='utf8')\n",
    "\n",
    "data_plant_locations = data_plant_locations.set_index('id')\n",
    "\n",
    "data_plant_locations['lat'] = pd.to_numeric(data_plant_locations['lat'], \n",
    "                                            errors='coerce')\n",
    "data_plant_locations['lon'] = pd.to_numeric(data_plant_locations['lon'], \n",
    "                                            errors='coerce')\n",
    "\n",
    "plantlist = pd.merge(plantlist, \n",
    "                     data_plant_locations, \n",
    "                     left_index=True, \n",
    "                     right_index=True, \n",
    "                     how='left')\n",
    "plantlist.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>company</th>\n",
       "      <th>name</th>\n",
       "      <th>postcode</th>\n",
       "      <th>city</th>\n",
       "      <th>street</th>\n",
       "      <th>state</th>\n",
       "      <th>block</th>\n",
       "      <th>commissioned</th>\n",
       "      <th>status</th>\n",
       "      <th>fuel_basis</th>\n",
       "      <th>...</th>\n",
       "      <th>date</th>\n",
       "      <th>efficiency_source</th>\n",
       "      <th>source_type</th>\n",
       "      <th>efficiency_intercept</th>\n",
       "      <th>efficiency_slope</th>\n",
       "      <th>efficiency_literature</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>eic_code_plant</th>\n",
       "      <th>eic_code_block</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 72 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [company, name, postcode, city, street, state, block, commissioned, status, fuel_basis, fuel_multiple1, fuel_multiple2, fuel, eeg, chp, capacity, network_node, voltage, network_operator, bnetza_id, capacity_bnetza, capacity_bnetza_aggregate, capacity_bnetza_with_chp, chp_bnetza, merge_comment, uba_capacity, uba_capacity_original, uba_capacity_scaled, uba_chp_capacity, uba_chp_capacity_original, uba_chp_capacity_scaled, uba_city, uba_commissioned, uba_company, uba_company_aggregate, uba_fuel, uba_id_string, uba_match_fuel, uba_match_name, uba_name, uba_name_aggregate, uba_postcode, uba_state, uba_technology, uba_technology_aggregate, shutdown, retrofit, uba_commissioned_1, uba_commissioned_2, uba_commissioned_3, commissioned_1, commissioned_2, commissioned_3, capacity_float, commissioned_float, retrofit_float, technology, type, country_code, efficiency_net, efficiency_gross, efficiency_comment, date, efficiency_source, source_type, efficiency_intercept, efficiency_slope, efficiency_literature, lat, lon, eic_code_plant, eic_code_block]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 72 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plantlist[plantlist.lat.isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.10 Allocate energy source levels"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To enable a more readable output, the columns 'fuel' is augmented with additional information called 'energy source level'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>energy_source_level_1</th>\n",
       "      <th>energy_source_level_2</th>\n",
       "      <th>energy_source_level_3</th>\n",
       "      <th>company</th>\n",
       "      <th>name</th>\n",
       "      <th>postcode</th>\n",
       "      <th>city</th>\n",
       "      <th>street</th>\n",
       "      <th>state</th>\n",
       "      <th>block</th>\n",
       "      <th>...</th>\n",
       "      <th>date</th>\n",
       "      <th>efficiency_source</th>\n",
       "      <th>source_type</th>\n",
       "      <th>efficiency_intercept</th>\n",
       "      <th>efficiency_slope</th>\n",
       "      <th>efficiency_literature</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>eic_code_plant</th>\n",
       "      <th>eic_code_block</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0012a</th>\n",
       "      <td>Renewable energy</td>\n",
       "      <td>Bioenergy</td>\n",
       "      <td>Biomass and biogas</td>\n",
       "      <td>Sappi Alfeld GmbH</td>\n",
       "      <td>Werkskraftwerk Sappi Alfeld</td>\n",
       "      <td>31061</td>\n",
       "      <td>Alfeld</td>\n",
       "      <td>Mühlenmarsch 1</td>\n",
       "      <td>Niedersachsen</td>\n",
       "      <td>Turbine 5</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.3800</td>\n",
       "      <td>51.984761</td>\n",
       "      <td>9.822831</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0021</th>\n",
       "      <td>Renewable energy</td>\n",
       "      <td>Bioenergy</td>\n",
       "      <td>Biomass and biogas</td>\n",
       "      <td>Heizkraftwerk Altenstadt GmbH &amp; Co. KG</td>\n",
       "      <td>HKW Altenstadt</td>\n",
       "      <td>86972</td>\n",
       "      <td>Altenstadt</td>\n",
       "      <td>Triebstraße 90</td>\n",
       "      <td>Bayern</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.3800</td>\n",
       "      <td>47.797140</td>\n",
       "      <td>10.858740</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0027</th>\n",
       "      <td>Renewable energy</td>\n",
       "      <td>Bioenergy</td>\n",
       "      <td>Biomass and biogas</td>\n",
       "      <td>Zellstoff Stendal GmbH</td>\n",
       "      <td>Zellstoff Stendal GmbH</td>\n",
       "      <td>39596</td>\n",
       "      <td>Arneburg</td>\n",
       "      <td>Goldbecker Straße 1</td>\n",
       "      <td>Sachsen-Anhalt</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.3800</td>\n",
       "      <td>52.727130</td>\n",
       "      <td>12.011150</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0055</th>\n",
       "      <td>Renewable energy</td>\n",
       "      <td>Bioenergy</td>\n",
       "      <td>Biomass and biogas</td>\n",
       "      <td>Pfleiderer Baruth GmbH</td>\n",
       "      <td>UTB</td>\n",
       "      <td>15837</td>\n",
       "      <td>Baruth/Mark</td>\n",
       "      <td>An der Birkenpfuhlheide 3</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.3800</td>\n",
       "      <td>52.077780</td>\n",
       "      <td>13.517250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0062</th>\n",
       "      <td>Renewable energy</td>\n",
       "      <td>Bioenergy</td>\n",
       "      <td>Biomass and biogas</td>\n",
       "      <td>Sonae Arauco Beeskow GmbH</td>\n",
       "      <td>BHW Beeskow</td>\n",
       "      <td>15848</td>\n",
       "      <td>Beeskow</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.3800</td>\n",
       "      <td>52.182690</td>\n",
       "      <td>14.258410</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1867</th>\n",
       "      <td>Other or unspecified energy sources</td>\n",
       "      <td>Waste</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AVG Köln mbH</td>\n",
       "      <td>AVG Köln</td>\n",
       "      <td>50735</td>\n",
       "      <td>Köln</td>\n",
       "      <td>Geestemünder Straße 23</td>\n",
       "      <td>Nordrhein-Westfalen</td>\n",
       "      <td>Turbosatz 2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.3300</td>\n",
       "      <td>50.999620</td>\n",
       "      <td>6.940959</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0492</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RAG Anthrazit Ibbenbüren GmbH</td>\n",
       "      <td>RAG Anthrazit Ibbenbüren GmbH</td>\n",
       "      <td>49477</td>\n",
       "      <td>Ibbenbüren</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nordrhein-Westfalen</td>\n",
       "      <td>EVA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.3300</td>\n",
       "      <td>52.285880</td>\n",
       "      <td>7.746130</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0997</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>STEAG New Energies GmbH</td>\n",
       "      <td>HKW Fenne, Grubengaskraftwerk</td>\n",
       "      <td>66333</td>\n",
       "      <td>Völklingen-Fenne</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Saarland</td>\n",
       "      <td>Gasmotorenanlage Fenne</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.358</td>\n",
       "      <td>0.0014</td>\n",
       "      <td>0.4462</td>\n",
       "      <td>49.249018</td>\n",
       "      <td>6.879244</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1864</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KÄMMERER Energie GmbH</td>\n",
       "      <td>Turbine 4</td>\n",
       "      <td>49084</td>\n",
       "      <td>Osnabrück</td>\n",
       "      <td>Römereschstrasse 33</td>\n",
       "      <td>Niedersachsen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.294036</td>\n",
       "      <td>8.022962</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1865</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KÄMMERER Energie GmbH</td>\n",
       "      <td>Turbine 5</td>\n",
       "      <td>49084</td>\n",
       "      <td>Osnabrück</td>\n",
       "      <td>Römereschstrasse 33</td>\n",
       "      <td>Niedersachsen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.294036</td>\n",
       "      <td>8.022962</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>909 rows × 75 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        energy_source_level_1 energy_source_level_2  \\\n",
       "BNA0012a                     Renewable energy             Bioenergy   \n",
       "BNA0021                      Renewable energy             Bioenergy   \n",
       "BNA0027                      Renewable energy             Bioenergy   \n",
       "BNA0055                      Renewable energy             Bioenergy   \n",
       "BNA0062                      Renewable energy             Bioenergy   \n",
       "...                                       ...                   ...   \n",
       "BNA1867   Other or unspecified energy sources                 Waste   \n",
       "BNA0492                                   NaN                   NaN   \n",
       "BNA0997                                   NaN                   NaN   \n",
       "BNA1864                                   NaN                   NaN   \n",
       "BNA1865                                   NaN                   NaN   \n",
       "\n",
       "         energy_source_level_3                                 company  \\\n",
       "BNA0012a    Biomass and biogas                       Sappi Alfeld GmbH   \n",
       "BNA0021     Biomass and biogas  Heizkraftwerk Altenstadt GmbH & Co. KG   \n",
       "BNA0027     Biomass and biogas                  Zellstoff Stendal GmbH   \n",
       "BNA0055     Biomass and biogas                  Pfleiderer Baruth GmbH   \n",
       "BNA0062     Biomass and biogas               Sonae Arauco Beeskow GmbH   \n",
       "...                        ...                                     ...   \n",
       "BNA1867                    NaN                            AVG Köln mbH   \n",
       "BNA0492                    NaN           RAG Anthrazit Ibbenbüren GmbH   \n",
       "BNA0997                    NaN                 STEAG New Energies GmbH   \n",
       "BNA1864                    NaN                   KÄMMERER Energie GmbH   \n",
       "BNA1865                    NaN                   KÄMMERER Energie GmbH   \n",
       "\n",
       "                                   name postcode              city  \\\n",
       "BNA0012a    Werkskraftwerk Sappi Alfeld    31061            Alfeld   \n",
       "BNA0021                  HKW Altenstadt    86972        Altenstadt   \n",
       "BNA0027          Zellstoff Stendal GmbH    39596          Arneburg   \n",
       "BNA0055                             UTB    15837       Baruth/Mark   \n",
       "BNA0062                     BHW Beeskow    15848           Beeskow   \n",
       "...                                 ...      ...               ...   \n",
       "BNA1867                        AVG Köln    50735              Köln   \n",
       "BNA0492   RAG Anthrazit Ibbenbüren GmbH    49477        Ibbenbüren   \n",
       "BNA0997   HKW Fenne, Grubengaskraftwerk    66333  Völklingen-Fenne   \n",
       "BNA1864                       Turbine 4    49084         Osnabrück   \n",
       "BNA1865                       Turbine 5    49084         Osnabrück   \n",
       "\n",
       "                             street                state  \\\n",
       "BNA0012a             Mühlenmarsch 1        Niedersachsen   \n",
       "BNA0021              Triebstraße 90               Bayern   \n",
       "BNA0027         Goldbecker Straße 1       Sachsen-Anhalt   \n",
       "BNA0055   An der Birkenpfuhlheide 3          Brandenburg   \n",
       "BNA0062                         NaN          Brandenburg   \n",
       "...                             ...                  ...   \n",
       "BNA1867      Geestemünder Straße 23  Nordrhein-Westfalen   \n",
       "BNA0492                         NaN  Nordrhein-Westfalen   \n",
       "BNA0997                         NaN             Saarland   \n",
       "BNA1864         Römereschstrasse 33        Niedersachsen   \n",
       "BNA1865         Römereschstrasse 33        Niedersachsen   \n",
       "\n",
       "                           block  ... date efficiency_source source_type  \\\n",
       "BNA0012a               Turbine 5  ...  NaN               NaN         NaN   \n",
       "BNA0021                      NaN  ...  NaN               NaN         NaN   \n",
       "BNA0027                        -  ...  NaN               NaN         NaN   \n",
       "BNA0055                      NaN  ...  NaN               NaN         NaN   \n",
       "BNA0062                      NaN  ...  NaN               NaN         NaN   \n",
       "...                          ...  ...  ...               ...         ...   \n",
       "BNA1867              Turbosatz 2  ...  NaN               NaN         NaN   \n",
       "BNA0492                      EVA  ...  NaN               NaN         NaN   \n",
       "BNA0997   Gasmotorenanlage Fenne  ...  NaN               NaN         NaN   \n",
       "BNA1864                      NaN  ...  NaN               NaN         NaN   \n",
       "BNA1865                      NaN  ...  NaN               NaN         NaN   \n",
       "\n",
       "         efficiency_intercept efficiency_slope efficiency_literature  \\\n",
       "BNA0012a                0.380           0.0000                0.3800   \n",
       "BNA0021                 0.380           0.0000                0.3800   \n",
       "BNA0027                 0.380           0.0000                0.3800   \n",
       "BNA0055                 0.380           0.0000                0.3800   \n",
       "BNA0062                 0.380           0.0000                0.3800   \n",
       "...                       ...              ...                   ...   \n",
       "BNA1867                 0.330           0.0000                0.3300   \n",
       "BNA0492                 0.330           0.0000                0.3300   \n",
       "BNA0997                -2.358           0.0014                0.4462   \n",
       "BNA1864                   NaN              NaN                   NaN   \n",
       "BNA1865                   NaN              NaN                   NaN   \n",
       "\n",
       "                lat        lon  eic_code_plant eic_code_block  \n",
       "BNA0012a  51.984761   9.822831             NaN            NaN  \n",
       "BNA0021   47.797140  10.858740             NaN            NaN  \n",
       "BNA0027   52.727130  12.011150             NaN            NaN  \n",
       "BNA0055   52.077780  13.517250             NaN            NaN  \n",
       "BNA0062   52.182690  14.258410             NaN            NaN  \n",
       "...             ...        ...             ...            ...  \n",
       "BNA1867   50.999620   6.940959             NaN            NaN  \n",
       "BNA0492   52.285880   7.746130             NaN            NaN  \n",
       "BNA0997   49.249018   6.879244             NaN            NaN  \n",
       "BNA1864   52.294036   8.022962             NaN            NaN  \n",
       "BNA1865   52.294036   8.022962             NaN            NaN  \n",
       "\n",
       "[909 rows x 75 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read energy source level allocation table\n",
    "energy_source_level_allocator = pd.read_csv(os.path.join('input', 'energy_source_level_allocator.csv'),\n",
    "                                     sep=',',  # CSV field separator, default is ','\n",
    "                                     decimal='.',  # Decimal separator, default is '.')\n",
    "                                     index_col='fuel',\n",
    "                                     encoding='utf8')\n",
    "plantlist = pd.merge(energy_source_level_allocator, plantlist,\n",
    "                    left_index = True,\n",
    "                    right_on='fuel',\n",
    "                    how='outer')\n",
    "\n",
    "plantlist"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8. Define final output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name_bnetza</th>\n",
       "      <th>block_bnetza</th>\n",
       "      <th>name_uba</th>\n",
       "      <th>company</th>\n",
       "      <th>street</th>\n",
       "      <th>postcode</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>capacity_net_bnetza</th>\n",
       "      <th>...</th>\n",
       "      <th>efficiency_estimate</th>\n",
       "      <th>energy_source_level_1</th>\n",
       "      <th>energy_source_level_2</th>\n",
       "      <th>energy_source_level_3</th>\n",
       "      <th>eeg</th>\n",
       "      <th>network_node</th>\n",
       "      <th>voltage</th>\n",
       "      <th>network_operator</th>\n",
       "      <th>merge_comment</th>\n",
       "      <th>comment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0012a</th>\n",
       "      <td>Werkskraftwerk Sappi Alfeld</td>\n",
       "      <td>Turbine 5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sappi Alfeld GmbH</td>\n",
       "      <td>Mühlenmarsch 1</td>\n",
       "      <td>31061</td>\n",
       "      <td>Alfeld</td>\n",
       "      <td>Niedersachsen</td>\n",
       "      <td>DE</td>\n",
       "      <td>13.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.38</td>\n",
       "      <td>Renewable energy</td>\n",
       "      <td>Bioenergy</td>\n",
       "      <td>Biomass and biogas</td>\n",
       "      <td>yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>Überlandwerk Leinetal GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0021</th>\n",
       "      <td>HKW Altenstadt</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Heizkraftwerk Altenstadt GmbH &amp; Co. KG</td>\n",
       "      <td>Triebstraße 90</td>\n",
       "      <td>86972</td>\n",
       "      <td>Altenstadt</td>\n",
       "      <td>Bayern</td>\n",
       "      <td>DE</td>\n",
       "      <td>9.8</td>\n",
       "      <td>...</td>\n",
       "      <td>0.38</td>\n",
       "      <td>Renewable energy</td>\n",
       "      <td>Bioenergy</td>\n",
       "      <td>Biomass and biogas</td>\n",
       "      <td>yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>LEW Verteilnetz GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0027</th>\n",
       "      <td>Zellstoff Stendal GmbH</td>\n",
       "      <td>-</td>\n",
       "      <td>Arneburg</td>\n",
       "      <td>Zellstoff Stendal GmbH</td>\n",
       "      <td>Goldbecker Straße 1</td>\n",
       "      <td>39596</td>\n",
       "      <td>Arneburg</td>\n",
       "      <td>Sachsen-Anhalt</td>\n",
       "      <td>DE</td>\n",
       "      <td>138.9</td>\n",
       "      <td>...</td>\n",
       "      <td>0.38</td>\n",
       "      <td>Renewable energy</td>\n",
       "      <td>Bioenergy</td>\n",
       "      <td>Biomass and biogas</td>\n",
       "      <td>yes</td>\n",
       "      <td>DE0075603959600000E00000000013559 DE0075603959...</td>\n",
       "      <td>USp. Mittel- / Niederspannung (MS/NS)</td>\n",
       "      <td>Infrastrukturbetrieb der Stadt Arneburg</td>\n",
       "      <td>List matching type: Single UBA power plant ass...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0055</th>\n",
       "      <td>UTB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pfleiderer Baruth GmbH</td>\n",
       "      <td>An der Birkenpfuhlheide 3</td>\n",
       "      <td>15837</td>\n",
       "      <td>Baruth/Mark</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>DE</td>\n",
       "      <td>16.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.38</td>\n",
       "      <td>Renewable energy</td>\n",
       "      <td>Bioenergy</td>\n",
       "      <td>Biomass and biogas</td>\n",
       "      <td>yes</td>\n",
       "      <td>UTB/Eon-edis</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>E.DIS AG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0062</th>\n",
       "      <td>BHW Beeskow</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sonae Arauco Beeskow GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15848</td>\n",
       "      <td>Beeskow</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>DE</td>\n",
       "      <td>18.3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.38</td>\n",
       "      <td>Renewable energy</td>\n",
       "      <td>Bioenergy</td>\n",
       "      <td>Biomass and biogas</td>\n",
       "      <td>yes</td>\n",
       "      <td>Umspannwerk Beeskow der E.DIS AG</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>E.DIS AG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          name_bnetza block_bnetza  name_uba  \\\n",
       "BNA0012a  Werkskraftwerk Sappi Alfeld    Turbine 5       NaN   \n",
       "BNA0021                HKW Altenstadt          NaN       NaN   \n",
       "BNA0027        Zellstoff Stendal GmbH            -  Arneburg   \n",
       "BNA0055                           UTB          NaN       NaN   \n",
       "BNA0062                   BHW Beeskow          NaN       NaN   \n",
       "\n",
       "                                         company                     street  \\\n",
       "BNA0012a                       Sappi Alfeld GmbH             Mühlenmarsch 1   \n",
       "BNA0021   Heizkraftwerk Altenstadt GmbH & Co. KG             Triebstraße 90   \n",
       "BNA0027                   Zellstoff Stendal GmbH        Goldbecker Straße 1   \n",
       "BNA0055                   Pfleiderer Baruth GmbH  An der Birkenpfuhlheide 3   \n",
       "BNA0062                Sonae Arauco Beeskow GmbH                        NaN   \n",
       "\n",
       "         postcode         city           state country  capacity_net_bnetza  \\\n",
       "BNA0012a    31061       Alfeld   Niedersachsen      DE                 13.0   \n",
       "BNA0021     86972   Altenstadt          Bayern      DE                  9.8   \n",
       "BNA0027     39596     Arneburg  Sachsen-Anhalt      DE                138.9   \n",
       "BNA0055     15837  Baruth/Mark     Brandenburg      DE                 16.0   \n",
       "BNA0062     15848      Beeskow     Brandenburg      DE                 18.3   \n",
       "\n",
       "          ...  efficiency_estimate energy_source_level_1  \\\n",
       "BNA0012a  ...                 0.38      Renewable energy   \n",
       "BNA0021   ...                 0.38      Renewable energy   \n",
       "BNA0027   ...                 0.38      Renewable energy   \n",
       "BNA0055   ...                 0.38      Renewable energy   \n",
       "BNA0062   ...                 0.38      Renewable energy   \n",
       "\n",
       "         energy_source_level_2 energy_source_level_3  eeg  \\\n",
       "BNA0012a             Bioenergy    Biomass and biogas  yes   \n",
       "BNA0021              Bioenergy    Biomass and biogas  yes   \n",
       "BNA0027              Bioenergy    Biomass and biogas  yes   \n",
       "BNA0055              Bioenergy    Biomass and biogas  yes   \n",
       "BNA0062              Bioenergy    Biomass and biogas  yes   \n",
       "\n",
       "                                               network_node  \\\n",
       "BNA0012a                                                NaN   \n",
       "BNA0021                                                 NaN   \n",
       "BNA0027   DE0075603959600000E00000000013559 DE0075603959...   \n",
       "BNA0055                                       UTB/Eon-edis    \n",
       "BNA0062                    Umspannwerk Beeskow der E.DIS AG   \n",
       "\n",
       "                                        voltage  \\\n",
       "BNA0012a                    Mittelspannung (MS)   \n",
       "BNA0021                     Mittelspannung (MS)   \n",
       "BNA0027   USp. Mittel- / Niederspannung (MS/NS)   \n",
       "BNA0055                     Mittelspannung (MS)   \n",
       "BNA0062                       Hochspannung (HS)   \n",
       "\n",
       "                                 network_operator  \\\n",
       "BNA0012a               Überlandwerk Leinetal GmbH   \n",
       "BNA0021                      LEW Verteilnetz GmbH   \n",
       "BNA0027   Infrastrukturbetrieb der Stadt Arneburg   \n",
       "BNA0055                                  E.DIS AG   \n",
       "BNA0062                                  E.DIS AG   \n",
       "\n",
       "                                              merge_comment comment  \n",
       "BNA0012a                                                NaN     NaN  \n",
       "BNA0021                                                 NaN     NaN  \n",
       "BNA0027   List matching type: Single UBA power plant ass...     NaN  \n",
       "BNA0055                                                 NaN     NaN  \n",
       "BNA0062                                                 NaN     NaN  \n",
       "\n",
       "[5 rows x 37 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# Merge uba_name_aggregate and uba_name\n",
    "plantlist.loc[plantlist['uba_name_aggregate'].isnull(), 'uba_name_aggregate'] = plantlist['uba_name'][plantlist['uba_name_aggregate'].isnull()]\n",
    "\n",
    "# Drop columns not relevant for output\n",
    "colsToDrop = ['bnetza_id',\n",
    "              'capacity',\n",
    "              'uba_name',\n",
    "              'uba_capacity_original',\n",
    "              'uba_chp_capacity_original',\n",
    "              'uba_city',\n",
    "              'uba_commissioned',\n",
    "              'uba_company',\n",
    "              'uba_company_aggregate',\n",
    "              'uba_fuel',\n",
    "              'uba_postcode',\n",
    "              'uba_state',\n",
    "              'uba_technology',\n",
    "              'uba_technology_aggregate',\n",
    "              'retrofit',\n",
    "              'uba_commissioned_1',\n",
    "              'uba_commissioned_2',\n",
    "              'uba_commissioned_3',\n",
    "              'commissioned_1',\n",
    "              'commissioned_2',\n",
    "              'commissioned_3',\n",
    "              'fuel_basis',\n",
    "              'fuel_multiple1',\n",
    "              'fuel_multiple2',\n",
    "              'efficiency_gross',\n",
    "              'efficiency_intercept',\n",
    "              'efficiency_slope',\n",
    "              'source_type',\n",
    "              'date'\n",
    "             ]\n",
    "plantlist = plantlist.drop(colsToDrop, axis=1)\n",
    "\n",
    "# Rename columns\n",
    "plantlist = plantlist.rename(columns={'commissioned': 'commissioned_original',\n",
    "                                      'commissioned_float': 'commissioned',\n",
    "                                      'retrofit_float': 'retrofit',\n",
    "                                      'capacity_float': 'capacity_net_bnetza',\n",
    "                                      'uba_capacity': 'capacity_gross_uba',\n",
    "                                      'uba_chp_capacity': 'chp_capacity_uba',\n",
    "                                      'efficiency_net': 'efficiency_data',\n",
    "                                      'efficiency_literature': 'efficiency_estimate',\n",
    "                                      'uba_name_aggregate': 'name_uba',\n",
    "                                      'name': 'name_bnetza',\n",
    "                                      'block': 'block_bnetza',\n",
    "                                      'country_code': 'country',\n",
    "                                      'fuel': 'energy_source',\n",
    "                                     })\n",
    "\n",
    "# Sort columns\n",
    "columns_sorted = [\n",
    "                 'name_bnetza',\n",
    "                 'block_bnetza',\n",
    "                 'name_uba',\n",
    "                 'company',\n",
    "                 'street',\n",
    "                 'postcode',\n",
    "                 'city',\n",
    "                 'state',\n",
    "                 'country',\n",
    "                 'capacity_net_bnetza',\n",
    "                 'capacity_gross_uba',\n",
    "                 'energy_source',\n",
    "                 'technology',\n",
    "                 'chp',\n",
    "                 'chp_capacity_uba',\n",
    "                 'commissioned',\n",
    "                 'commissioned_original',\n",
    "                 'retrofit',\n",
    "                 'shutdown',\n",
    "                 'status',\n",
    "                 'type',\n",
    "                 'lat',\n",
    "                 'lon',\n",
    "                 'eic_code_plant',\n",
    "                 'eic_code_block',\n",
    "                 'efficiency_data',\n",
    "                 'efficiency_source',\n",
    "                 'efficiency_estimate',\n",
    "                 'energy_source_level_1',\n",
    "                 'energy_source_level_2',\n",
    "                 'energy_source_level_3',\n",
    "                 'eeg',\n",
    "                 'network_node',\n",
    "                 'voltage',\n",
    "                 'network_operator',\n",
    "                 'merge_comment',\n",
    "                 'comment']\n",
    "plantlist = plantlist.reindex(columns=columns_sorted)\n",
    "\n",
    "plantlist.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8.1 Round values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# Round capacity values as well as the efficiency estimate to five decimals-\n",
    "plantlist.capacity_net_bnetza = plantlist.capacity_net_bnetza.round(decimals=5)\n",
    "plantlist.capacity_gross_uba = plantlist.capacity_gross_uba.round(decimals=5)  \n",
    "plantlist.efficiency_estimate = plantlist.efficiency_estimate.round(decimals=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## 8.2 Verification"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8.2.1 Capacities by plant status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23689e851f0>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pivot_status_capacity = pd.pivot_table(\n",
    "                        plantlist, \n",
    "                        values='capacity_net_bnetza',\n",
    "                        columns='status',\n",
    "                        index='energy_source', \n",
    "                        aggfunc=np.sum\n",
    "                        )\n",
    "pivot_status_capacity.sort_values(by='operating', inplace=True, ascending=0)\n",
    "pivot_status_capacity_plot=pivot_status_capacity.plot(kind='barh', \n",
    "                                                      stacked=True,\n",
    "                                                      legend=True, \n",
    "                                                      figsize=(12, 6))\n",
    "pivot_status_capacity_plot.set_xlabel(\"MW\")\n",
    "pivot_status_capacity_plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8.2.2 Power plant age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23689aa4f40>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plantlist_filtered = plantlist  \n",
    "pivot_age_capacity = pd.pivot_table(\n",
    "                        plantlist_filtered, \n",
    "                        values='capacity_net_bnetza',\n",
    "                        columns='energy_source',\n",
    "                        index='commissioned', \n",
    "                        aggfunc=np.sum,\n",
    "                        dropna=True\n",
    "                        )\n",
    "\n",
    "pivot_age_capacity_plot=pivot_age_capacity.plot(kind='bar', \n",
    "                                                stacked=True,\n",
    "                                                legend=True, \n",
    "                                                figsize=(17, 10))\n",
    "pivot_age_capacity_plot.set_ylabel(\"MW\")\n",
    "\n",
    "xaxis_labels = pivot_age_capacity.index.astype(int)\n",
    "pivot_age_capacity_plot.set_xticklabels(xaxis_labels)\n",
    "\n",
    "\n",
    "pivot_age_capacity_plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8.2.3 Block size vs year of commissioning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This chart is suitable to check outliers of commissioning years and block sizes. \n",
    "In theory, there should be no unexpected values, e.g. all commissioning years should be greater than 1900. \n",
    "Block sizes above 2000 MW are also unlikely."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2368b75dbe0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plantlist_for_plot = plantlist.copy(deep=True)\n",
    "plantlist_for_plot['capacity_float'] = pd.to_numeric(plantlist_for_plot['capacity_net_bnetza'], \n",
    "                                                     errors='coerce')\n",
    "plantlist_for_plot['commissioned_float'] = pd.to_numeric(plantlist_for_plot['commissioned'], \n",
    "                                                         errors='coerce')\n",
    "\n",
    "age_capacity_plot = plantlist_for_plot.plot(kind='scatter', x='commissioned_float', y='capacity_float', figsize=(17, 10))\n",
    "age_capacity_plot.set_xlabel(\"commissioned\")\n",
    "age_capacity_plot.set_ylabel(\"MW\")\n",
    "\n",
    "age_capacity_plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8.3 Logical checks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8.3.1 Every power plant needs a capacity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "List all entries with zero capacity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name_bnetza</th>\n",
       "      <th>block_bnetza</th>\n",
       "      <th>name_uba</th>\n",
       "      <th>company</th>\n",
       "      <th>street</th>\n",
       "      <th>postcode</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>capacity_net_bnetza</th>\n",
       "      <th>...</th>\n",
       "      <th>efficiency_estimate</th>\n",
       "      <th>energy_source_level_1</th>\n",
       "      <th>energy_source_level_2</th>\n",
       "      <th>energy_source_level_3</th>\n",
       "      <th>eeg</th>\n",
       "      <th>network_node</th>\n",
       "      <th>voltage</th>\n",
       "      <th>network_operator</th>\n",
       "      <th>merge_comment</th>\n",
       "      <th>comment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0490a</th>\n",
       "      <td>Goldenberg</td>\n",
       "      <td>F</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RWE Power AG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50354</td>\n",
       "      <td>Hürth</td>\n",
       "      <td>Nordrhein-Westfalen</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.3832</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Lignite</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Knapsack</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>Westnetz GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         name_bnetza block_bnetza name_uba       company street postcode  \\\n",
       "BNA0490a  Goldenberg            F      NaN  RWE Power AG    NaN    50354   \n",
       "\n",
       "           city                state country  capacity_net_bnetza  ...  \\\n",
       "BNA0490a  Hürth  Nordrhein-Westfalen      DE                  0.0  ...   \n",
       "\n",
       "          efficiency_estimate energy_source_level_1 energy_source_level_2  \\\n",
       "BNA0490a               0.3832          Fossil fuels               Lignite   \n",
       "\n",
       "         energy_source_level_3 eeg  network_node            voltage  \\\n",
       "BNA0490a                   NaN  no      Knapsack  Hochspannung (HS)   \n",
       "\n",
       "          network_operator  merge_comment comment  \n",
       "BNA0490a     Westnetz GmbH            NaN     NaN  \n",
       "\n",
       "[1 rows x 37 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plantlist[plantlist.capacity_net_bnetza == 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8.3.2 Commissioning Dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name_bnetza</th>\n",
       "      <th>block_bnetza</th>\n",
       "      <th>name_uba</th>\n",
       "      <th>company</th>\n",
       "      <th>street</th>\n",
       "      <th>postcode</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>capacity_net_bnetza</th>\n",
       "      <th>...</th>\n",
       "      <th>efficiency_estimate</th>\n",
       "      <th>energy_source_level_1</th>\n",
       "      <th>energy_source_level_2</th>\n",
       "      <th>energy_source_level_3</th>\n",
       "      <th>eeg</th>\n",
       "      <th>network_node</th>\n",
       "      <th>voltage</th>\n",
       "      <th>network_operator</th>\n",
       "      <th>merge_comment</th>\n",
       "      <th>comment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [name_bnetza, block_bnetza, name_uba, company, street, postcode, city, state, country, capacity_net_bnetza, capacity_gross_uba, energy_source, technology, chp, chp_capacity_uba, commissioned, commissioned_original, retrofit, shutdown, status, type, lat, lon, eic_code_plant, eic_code_block, efficiency_data, efficiency_source, efficiency_estimate, energy_source_level_1, energy_source_level_2, energy_source_level_3, eeg, network_node, voltage, network_operator, merge_comment, comment]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 37 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Show all Plants with commisioning dates below 1900 \n",
    "plantlist[plantlist['commissioned'] <= 1900]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name_bnetza</th>\n",
       "      <th>block_bnetza</th>\n",
       "      <th>name_uba</th>\n",
       "      <th>company</th>\n",
       "      <th>street</th>\n",
       "      <th>postcode</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>capacity_net_bnetza</th>\n",
       "      <th>...</th>\n",
       "      <th>efficiency_estimate</th>\n",
       "      <th>energy_source_level_1</th>\n",
       "      <th>energy_source_level_2</th>\n",
       "      <th>energy_source_level_3</th>\n",
       "      <th>eeg</th>\n",
       "      <th>network_node</th>\n",
       "      <th>voltage</th>\n",
       "      <th>network_operator</th>\n",
       "      <th>merge_comment</th>\n",
       "      <th>comment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0059a</th>\n",
       "      <td>HKW Kassel</td>\n",
       "      <td>Turbine 1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Volkswagen AG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34225</td>\n",
       "      <td>Baunatal</td>\n",
       "      <td>Hessen</td>\n",
       "      <td>DE</td>\n",
       "      <td>12.20</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Anlage A</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>VW Kraftwerk GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0080</th>\n",
       "      <td>Lichterfelde</td>\n",
       "      <td>Lichterfelde 2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Vattenfall Europe Wärme AG</td>\n",
       "      <td>Ostpreußendamm 61</td>\n",
       "      <td>12207</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>DE</td>\n",
       "      <td>144.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Lichterfelde</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>Stromnetz Berlin GmbH</td>\n",
       "      <td>List matching type: Single UBA power plant ass...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0118</th>\n",
       "      <td>Heizkraftwerk Süd</td>\n",
       "      <td>Heizkraftwerk Süd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Energie- und Wasserversorgung Bonn/Rhein-Sieg ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53121</td>\n",
       "      <td>Bonn</td>\n",
       "      <td>Nordrhein-Westfalen</td>\n",
       "      <td>DE</td>\n",
       "      <td>14.40</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Umspannanlage Kessenich</td>\n",
       "      <td>10</td>\n",
       "      <td>Bonn Netz GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0140</th>\n",
       "      <td>KW Hastedt</td>\n",
       "      <td>Block 14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>swb Erzeugung GmbH &amp; Co. KG</td>\n",
       "      <td>Hastedter Osterdeich 255</td>\n",
       "      <td>28207</td>\n",
       "      <td>Bremen</td>\n",
       "      <td>Bremen</td>\n",
       "      <td>DE</td>\n",
       "      <td>155.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>DE0072032820700000000000000232556</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>Wesernetz Bremen GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0288</th>\n",
       "      <td>HKW Niederrad</td>\n",
       "      <td>Block 2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mainova AG</td>\n",
       "      <td>Lyoner Straße  9</td>\n",
       "      <td>60528</td>\n",
       "      <td>Frankfurt am Main</td>\n",
       "      <td>Hessen</td>\n",
       "      <td>DE</td>\n",
       "      <td>56.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>UW Goldsteinstraße</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>NRM Netzdienste Rhein-Main GmbH</td>\n",
       "      <td>List matching type: UBA capacity distributed p...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0681</th>\n",
       "      <td>Freimann GT 1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SWM Services GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80807</td>\n",
       "      <td>München</td>\n",
       "      <td>Bayern</td>\n",
       "      <td>DE</td>\n",
       "      <td>80.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>UW Freimann</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>SWM Infrastruktur GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0682</th>\n",
       "      <td>Freimann GT 2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SWM Services GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80807</td>\n",
       "      <td>München</td>\n",
       "      <td>Bayern</td>\n",
       "      <td>DE</td>\n",
       "      <td>80.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>UW Freimann</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>SWM Infrastruktur GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0735</th>\n",
       "      <td>Thyrow</td>\n",
       "      <td>GT F</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15806</td>\n",
       "      <td>Nunsdorf</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>DE</td>\n",
       "      <td>37.50</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Thyrow</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>50Hertz Transmission GmbH</td>\n",
       "      <td>List matching type: UBA capacity distributed p...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0736</th>\n",
       "      <td>Thyrow</td>\n",
       "      <td>GT G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15806</td>\n",
       "      <td>Nunsdorf</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>DE</td>\n",
       "      <td>37.50</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Thyrow</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>50Hertz Transmission GmbH</td>\n",
       "      <td>List matching type: UBA capacity distributed p...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0737</th>\n",
       "      <td>Thyrow</td>\n",
       "      <td>GT H</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lausitz Energie Kraftwerke AG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15806</td>\n",
       "      <td>Nunsdorf</td>\n",
       "      <td>Brandenburg</td>\n",
       "      <td>DE</td>\n",
       "      <td>37.50</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Thyrow</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>50Hertz Transmission GmbH</td>\n",
       "      <td>List matching type: UBA capacity distributed p...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0799</th>\n",
       "      <td>Heizkraftwerk Pforzheim GmbH</td>\n",
       "      <td>Gaskesselanlage</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Heizkraftwerk Pforzheim GmbH</td>\n",
       "      <td>Hohwiesenweg 15</td>\n",
       "      <td>75175</td>\n",
       "      <td>Pforzheim</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>DE</td>\n",
       "      <td>11.30</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Hohwiesenweg</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>Stadtwerke Pforzheim GmbH und Co. KG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0913</th>\n",
       "      <td>GuD Anlage Spreetal</td>\n",
       "      <td>GuD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Alpiq Spreetal GmbH</td>\n",
       "      <td>Südstraße</td>\n",
       "      <td>2979</td>\n",
       "      <td>Spreetal</td>\n",
       "      <td>Sachsen</td>\n",
       "      <td>DE</td>\n",
       "      <td>50.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>110kV Umspannwerk Schwarze Pumpe</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>Mitteldeutsche Netzgesellschaft Strom mbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0918a</th>\n",
       "      <td>Dow Stade</td>\n",
       "      <td>Kraftwärmekopplungsanlage</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dow Deutschland Anlagengesellschaft mbH</td>\n",
       "      <td>Bützflethersand</td>\n",
       "      <td>21683</td>\n",
       "      <td>Stade</td>\n",
       "      <td>Niedersachsen</td>\n",
       "      <td>DE</td>\n",
       "      <td>190.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>UW Götzdorf</td>\n",
       "      <td>Höchstspannung (HöS)</td>\n",
       "      <td>TenneT TSO GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0922a</th>\n",
       "      <td>GuD-Ikw Staßfurt</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CIECH Energy Deutschland GmbH</td>\n",
       "      <td>Athenslebener Weg 57</td>\n",
       "      <td>39418</td>\n",
       "      <td>Staßfurt</td>\n",
       "      <td>Sachsen-Anhalt</td>\n",
       "      <td>DE</td>\n",
       "      <td>9.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>UW NORD</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>HSN Magdeburg GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0933</th>\n",
       "      <td>Heizkraftwerk Stuttgart-Gaisburg</td>\n",
       "      <td>GAI GT 13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EnBW Energie Baden-Württemberg AG</td>\n",
       "      <td>Langwiesenweg 23</td>\n",
       "      <td>70376</td>\n",
       "      <td>Stuttgart</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>DE</td>\n",
       "      <td>55.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Gaisburg</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>Netze BW GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1337a</th>\n",
       "      <td>Heizkraftwerk</td>\n",
       "      <td>Heizkraftwerk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DS Smith Paper Deutschland GmbH</td>\n",
       "      <td>Weichertstr. 7</td>\n",
       "      <td>63741</td>\n",
       "      <td>Aschaffenburg</td>\n",
       "      <td>Bayern</td>\n",
       "      <td>DE</td>\n",
       "      <td>27.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Natural gas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>Aschaffenburger Versorgungs GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0355</th>\n",
       "      <td>Grafenrheinfeld</td>\n",
       "      <td>KKG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E.ON Kernkraft GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>97506</td>\n",
       "      <td>Grafenrheinfeld</td>\n",
       "      <td>Bayern</td>\n",
       "      <td>DE</td>\n",
       "      <td>1275.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nuclear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Grafenrheinfeld</td>\n",
       "      <td>Höchstspannung (HöS)</td>\n",
       "      <td>TenneT TSO GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0161</th>\n",
       "      <td>Brunsbüttel</td>\n",
       "      <td>GT A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Vattenfall Europe Nuclear Energy GmbH</td>\n",
       "      <td>Otto Hahn Str. 76</td>\n",
       "      <td>25541</td>\n",
       "      <td>Brunsbüttel</td>\n",
       "      <td>Schleswig-Holstein</td>\n",
       "      <td>DE</td>\n",
       "      <td>63.50</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Oil</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Brunsbüttel</td>\n",
       "      <td>Höchstspannung (HöS)</td>\n",
       "      <td>50Hertz Transmission GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0162</th>\n",
       "      <td>Brunsbüttel</td>\n",
       "      <td>GT B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Vattenfall Europe Nuclear Energy GmbH</td>\n",
       "      <td>Otto Hahn Str. 76</td>\n",
       "      <td>25541</td>\n",
       "      <td>Brunsbüttel</td>\n",
       "      <td>Schleswig-Holstein</td>\n",
       "      <td>DE</td>\n",
       "      <td>63.50</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Oil</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Brunsbüttel</td>\n",
       "      <td>Höchstspannung (HöS)</td>\n",
       "      <td>50Hertz Transmission GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0163</th>\n",
       "      <td>Brunsbüttel</td>\n",
       "      <td>GT C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Vattenfall Europe Nuclear Energy GmbH</td>\n",
       "      <td>Otto Hahn Str. 76</td>\n",
       "      <td>25541</td>\n",
       "      <td>Brunsbüttel</td>\n",
       "      <td>Schleswig-Holstein</td>\n",
       "      <td>DE</td>\n",
       "      <td>63.50</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Oil</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Brunsbüttel</td>\n",
       "      <td>Höchstspannung (HöS)</td>\n",
       "      <td>50Hertz Transmission GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0164</th>\n",
       "      <td>Brunsbüttel</td>\n",
       "      <td>GT D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Vattenfall Europe Nuclear Energy GmbH</td>\n",
       "      <td>Otto Hahn Str. 76</td>\n",
       "      <td>25541</td>\n",
       "      <td>Brunsbüttel</td>\n",
       "      <td>Schleswig-Holstein</td>\n",
       "      <td>DE</td>\n",
       "      <td>63.50</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Oil</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Brunsbüttel</td>\n",
       "      <td>Höchstspannung (HöS)</td>\n",
       "      <td>50Hertz Transmission GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0269</th>\n",
       "      <td>HKW Flensburg</td>\n",
       "      <td>Block 5</td>\n",
       "      <td>Flensburg K09 bis K12</td>\n",
       "      <td>Stadtwerke Flensburg GmbH</td>\n",
       "      <td>Batteriestr. 48</td>\n",
       "      <td>24939</td>\n",
       "      <td>Flensburg</td>\n",
       "      <td>Schleswig-Holstein</td>\n",
       "      <td>DE</td>\n",
       "      <td>30.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Oil</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Stadtwerke Flensburg GmbH</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>Stadtwerke Flensburg GmbH</td>\n",
       "      <td>List matching type: UBA capacity distributed p...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA1338</th>\n",
       "      <td>Spitzenkraftwerk</td>\n",
       "      <td>MLD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Eurowatt Spitzenkraft GmbH</td>\n",
       "      <td>Ruselbergstr. 87</td>\n",
       "      <td>94469</td>\n",
       "      <td>Deggendorf</td>\n",
       "      <td>Bayern</td>\n",
       "      <td>DE</td>\n",
       "      <td>19.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fossil fuels</td>\n",
       "      <td>Oil</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Umspannwerk Deggendorf</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>Bayernwerk AG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0143</th>\n",
       "      <td>KW Mittelsbüren</td>\n",
       "      <td>Block 3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>swb Erzeugung GmbH &amp; Co. KG</td>\n",
       "      <td>Auf den Delben 35</td>\n",
       "      <td>28237</td>\n",
       "      <td>Bremen</td>\n",
       "      <td>Bremen</td>\n",
       "      <td>DE</td>\n",
       "      <td>110.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other</td>\n",
       "      <td>Other fuels</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>Bahnstromanschluß</td>\n",
       "      <td>Hochspannung (HS)</td>\n",
       "      <td>DB Energie GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0289a</th>\n",
       "      <td>HKW West</td>\n",
       "      <td>M4</td>\n",
       "      <td>Frankfurt-West 2 u. 3</td>\n",
       "      <td>Mainova AG</td>\n",
       "      <td>Gutleutstraße 231</td>\n",
       "      <td>60627</td>\n",
       "      <td>Frankfurt am Main</td>\n",
       "      <td>Hessen</td>\n",
       "      <td>DE</td>\n",
       "      <td>19.70</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other</td>\n",
       "      <td>Other fuels</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>UW Gutleutstraße</td>\n",
       "      <td>30</td>\n",
       "      <td>NRM Netzdienste Rhein-Main GmbH</td>\n",
       "      <td>List matching type: UBA capacity distributed p...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0638</th>\n",
       "      <td>HKW Mannheim</td>\n",
       "      <td>Turbine 2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MVV Energie AG</td>\n",
       "      <td>Otto-Hahn-Straße 1</td>\n",
       "      <td>68169</td>\n",
       "      <td>Mannheim</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>DE</td>\n",
       "      <td>2.78</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other or unspecified energy sources</td>\n",
       "      <td>Waste</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>H80</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>Netrion GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0639</th>\n",
       "      <td>HKW Mannheim</td>\n",
       "      <td>Turbine D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MVV Energie AG</td>\n",
       "      <td>Otto-Hahn-Straße 1</td>\n",
       "      <td>68169</td>\n",
       "      <td>Mannheim</td>\n",
       "      <td>Baden-Württemberg</td>\n",
       "      <td>DE</td>\n",
       "      <td>5.56</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other or unspecified energy sources</td>\n",
       "      <td>Waste</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>H80</td>\n",
       "      <td>Mittelspannung (MS)</td>\n",
       "      <td>24/7 Netze GmbH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               name_bnetza               block_bnetza  \\\n",
       "BNA0059a                        HKW Kassel                  Turbine 1   \n",
       "BNA0080                       Lichterfelde             Lichterfelde 2   \n",
       "BNA0118                  Heizkraftwerk Süd          Heizkraftwerk Süd   \n",
       "BNA0140                         KW Hastedt                   Block 14   \n",
       "BNA0288                      HKW Niederrad                    Block 2   \n",
       "BNA0681                      Freimann GT 1                          1   \n",
       "BNA0682                      Freimann GT 2                          2   \n",
       "BNA0735                             Thyrow                       GT F   \n",
       "BNA0736                             Thyrow                       GT G   \n",
       "BNA0737                             Thyrow                       GT H   \n",
       "BNA0799       Heizkraftwerk Pforzheim GmbH            Gaskesselanlage   \n",
       "BNA0913                GuD Anlage Spreetal                        GuD   \n",
       "BNA0918a                         Dow Stade  Kraftwärmekopplungsanlage   \n",
       "BNA0922a                  GuD-Ikw Staßfurt                        NaN   \n",
       "BNA0933   Heizkraftwerk Stuttgart-Gaisburg                  GAI GT 13   \n",
       "BNA1337a                     Heizkraftwerk              Heizkraftwerk   \n",
       "BNA0355                    Grafenrheinfeld                        KKG   \n",
       "BNA0161                        Brunsbüttel                       GT A   \n",
       "BNA0162                        Brunsbüttel                       GT B   \n",
       "BNA0163                        Brunsbüttel                       GT C   \n",
       "BNA0164                        Brunsbüttel                       GT D   \n",
       "BNA0269                      HKW Flensburg                    Block 5   \n",
       "BNA1338                   Spitzenkraftwerk                        MLD   \n",
       "BNA0143                    KW Mittelsbüren                    Block 3   \n",
       "BNA0289a                          HKW West                         M4   \n",
       "BNA0638                       HKW Mannheim                  Turbine 2   \n",
       "BNA0639                       HKW Mannheim                  Turbine D   \n",
       "\n",
       "                       name_uba  \\\n",
       "BNA0059a                    NaN   \n",
       "BNA0080                     NaN   \n",
       "BNA0118                     NaN   \n",
       "BNA0140                     NaN   \n",
       "BNA0288                     NaN   \n",
       "BNA0681                     NaN   \n",
       "BNA0682                     NaN   \n",
       "BNA0735                     NaN   \n",
       "BNA0736                     NaN   \n",
       "BNA0737                     NaN   \n",
       "BNA0799                     NaN   \n",
       "BNA0913                     NaN   \n",
       "BNA0918a                    NaN   \n",
       "BNA0922a                    NaN   \n",
       "BNA0933                     NaN   \n",
       "BNA1337a                    NaN   \n",
       "BNA0355                     NaN   \n",
       "BNA0161                     NaN   \n",
       "BNA0162                     NaN   \n",
       "BNA0163                     NaN   \n",
       "BNA0164                     NaN   \n",
       "BNA0269   Flensburg K09 bis K12   \n",
       "BNA1338                     NaN   \n",
       "BNA0143                     NaN   \n",
       "BNA0289a  Frankfurt-West 2 u. 3   \n",
       "BNA0638                     NaN   \n",
       "BNA0639                     NaN   \n",
       "\n",
       "                                                    company  \\\n",
       "BNA0059a                                      Volkswagen AG   \n",
       "BNA0080                          Vattenfall Europe Wärme AG   \n",
       "BNA0118   Energie- und Wasserversorgung Bonn/Rhein-Sieg ...   \n",
       "BNA0140                         swb Erzeugung GmbH & Co. KG   \n",
       "BNA0288                                          Mainova AG   \n",
       "BNA0681                                   SWM Services GmbH   \n",
       "BNA0682                                   SWM Services GmbH   \n",
       "BNA0735                       Lausitz Energie Kraftwerke AG   \n",
       "BNA0736                       Lausitz Energie Kraftwerke AG   \n",
       "BNA0737                       Lausitz Energie Kraftwerke AG   \n",
       "BNA0799                        Heizkraftwerk Pforzheim GmbH   \n",
       "BNA0913                                 Alpiq Spreetal GmbH   \n",
       "BNA0918a            Dow Deutschland Anlagengesellschaft mbH   \n",
       "BNA0922a                      CIECH Energy Deutschland GmbH   \n",
       "BNA0933                   EnBW Energie Baden-Württemberg AG   \n",
       "BNA1337a                    DS Smith Paper Deutschland GmbH   \n",
       "BNA0355                                 E.ON Kernkraft GmbH   \n",
       "BNA0161               Vattenfall Europe Nuclear Energy GmbH   \n",
       "BNA0162               Vattenfall Europe Nuclear Energy GmbH   \n",
       "BNA0163               Vattenfall Europe Nuclear Energy GmbH   \n",
       "BNA0164               Vattenfall Europe Nuclear Energy GmbH   \n",
       "BNA0269                           Stadtwerke Flensburg GmbH   \n",
       "BNA1338                          Eurowatt Spitzenkraft GmbH   \n",
       "BNA0143                         swb Erzeugung GmbH & Co. KG   \n",
       "BNA0289a                                         Mainova AG   \n",
       "BNA0638                                      MVV Energie AG   \n",
       "BNA0639                                      MVV Energie AG   \n",
       "\n",
       "                            street postcode               city  \\\n",
       "BNA0059a                       NaN    34225           Baunatal   \n",
       "BNA0080          Ostpreußendamm 61    12207             Berlin   \n",
       "BNA0118                        NaN    53121               Bonn   \n",
       "BNA0140   Hastedter Osterdeich 255    28207             Bremen   \n",
       "BNA0288           Lyoner Straße  9    60528  Frankfurt am Main   \n",
       "BNA0681                        NaN    80807            München   \n",
       "BNA0682                        NaN    80807            München   \n",
       "BNA0735                        NaN    15806           Nunsdorf   \n",
       "BNA0736                        NaN    15806           Nunsdorf   \n",
       "BNA0737                        NaN    15806           Nunsdorf   \n",
       "BNA0799            Hohwiesenweg 15    75175          Pforzheim   \n",
       "BNA0913                  Südstraße     2979           Spreetal   \n",
       "BNA0918a           Bützflethersand    21683              Stade   \n",
       "BNA0922a      Athenslebener Weg 57    39418           Staßfurt   \n",
       "BNA0933           Langwiesenweg 23    70376          Stuttgart   \n",
       "BNA1337a            Weichertstr. 7    63741      Aschaffenburg   \n",
       "BNA0355                        NaN    97506    Grafenrheinfeld   \n",
       "BNA0161          Otto Hahn Str. 76    25541        Brunsbüttel   \n",
       "BNA0162          Otto Hahn Str. 76    25541        Brunsbüttel   \n",
       "BNA0163          Otto Hahn Str. 76    25541        Brunsbüttel   \n",
       "BNA0164          Otto Hahn Str. 76    25541        Brunsbüttel   \n",
       "BNA0269            Batteriestr. 48    24939          Flensburg   \n",
       "BNA1338           Ruselbergstr. 87    94469         Deggendorf   \n",
       "BNA0143          Auf den Delben 35    28237             Bremen   \n",
       "BNA0289a         Gutleutstraße 231    60627  Frankfurt am Main   \n",
       "BNA0638         Otto-Hahn-Straße 1    68169           Mannheim   \n",
       "BNA0639         Otto-Hahn-Straße 1    68169           Mannheim   \n",
       "\n",
       "                        state country  capacity_net_bnetza  ...  \\\n",
       "BNA0059a               Hessen      DE                12.20  ...   \n",
       "BNA0080                Berlin      DE               144.00  ...   \n",
       "BNA0118   Nordrhein-Westfalen      DE                14.40  ...   \n",
       "BNA0140                Bremen      DE               155.00  ...   \n",
       "BNA0288                Hessen      DE                56.00  ...   \n",
       "BNA0681                Bayern      DE                80.00  ...   \n",
       "BNA0682                Bayern      DE                80.00  ...   \n",
       "BNA0735           Brandenburg      DE                37.50  ...   \n",
       "BNA0736           Brandenburg      DE                37.50  ...   \n",
       "BNA0737           Brandenburg      DE                37.50  ...   \n",
       "BNA0799     Baden-Württemberg      DE                11.30  ...   \n",
       "BNA0913               Sachsen      DE                50.00  ...   \n",
       "BNA0918a        Niedersachsen      DE               190.00  ...   \n",
       "BNA0922a       Sachsen-Anhalt      DE                 9.00  ...   \n",
       "BNA0933     Baden-Württemberg      DE                55.00  ...   \n",
       "BNA1337a               Bayern      DE                27.00  ...   \n",
       "BNA0355                Bayern      DE              1275.00  ...   \n",
       "BNA0161    Schleswig-Holstein      DE                63.50  ...   \n",
       "BNA0162    Schleswig-Holstein      DE                63.50  ...   \n",
       "BNA0163    Schleswig-Holstein      DE                63.50  ...   \n",
       "BNA0164    Schleswig-Holstein      DE                63.50  ...   \n",
       "BNA0269    Schleswig-Holstein      DE                30.00  ...   \n",
       "BNA1338                Bayern      DE                19.00  ...   \n",
       "BNA0143                Bremen      DE               110.00  ...   \n",
       "BNA0289a               Hessen      DE                19.70  ...   \n",
       "BNA0638     Baden-Württemberg      DE                 2.78  ...   \n",
       "BNA0639     Baden-Württemberg      DE                 5.56  ...   \n",
       "\n",
       "          efficiency_estimate                energy_source_level_1  \\\n",
       "BNA0059a                  NaN                         Fossil fuels   \n",
       "BNA0080                   NaN                         Fossil fuels   \n",
       "BNA0118                   NaN                         Fossil fuels   \n",
       "BNA0140                   NaN                         Fossil fuels   \n",
       "BNA0288                   NaN                         Fossil fuels   \n",
       "BNA0681                   NaN                         Fossil fuels   \n",
       "BNA0682                   NaN                         Fossil fuels   \n",
       "BNA0735                   NaN                         Fossil fuels   \n",
       "BNA0736                   NaN                         Fossil fuels   \n",
       "BNA0737                   NaN                         Fossil fuels   \n",
       "BNA0799                   NaN                         Fossil fuels   \n",
       "BNA0913                   NaN                         Fossil fuels   \n",
       "BNA0918a                  NaN                         Fossil fuels   \n",
       "BNA0922a                  NaN                         Fossil fuels   \n",
       "BNA0933                   NaN                         Fossil fuels   \n",
       "BNA1337a                  NaN                         Fossil fuels   \n",
       "BNA0355                   NaN                              Nuclear   \n",
       "BNA0161                   NaN                         Fossil fuels   \n",
       "BNA0162                   NaN                         Fossil fuels   \n",
       "BNA0163                   NaN                         Fossil fuels   \n",
       "BNA0164                   NaN                         Fossil fuels   \n",
       "BNA0269                   NaN                         Fossil fuels   \n",
       "BNA1338                   NaN                         Fossil fuels   \n",
       "BNA0143                   NaN                                Other   \n",
       "BNA0289a                  NaN                                Other   \n",
       "BNA0638                   NaN  Other or unspecified energy sources   \n",
       "BNA0639                   NaN  Other or unspecified energy sources   \n",
       "\n",
       "         energy_source_level_2 energy_source_level_3 eeg  \\\n",
       "BNA0059a           Natural gas                   NaN  no   \n",
       "BNA0080            Natural gas                   NaN  no   \n",
       "BNA0118            Natural gas                   NaN  no   \n",
       "BNA0140            Natural gas                   NaN  no   \n",
       "BNA0288            Natural gas                   NaN  no   \n",
       "BNA0681            Natural gas                   NaN  no   \n",
       "BNA0682            Natural gas                   NaN  no   \n",
       "BNA0735            Natural gas                   NaN  no   \n",
       "BNA0736            Natural gas                   NaN  no   \n",
       "BNA0737            Natural gas                   NaN  no   \n",
       "BNA0799            Natural gas                   NaN  no   \n",
       "BNA0913            Natural gas                   NaN  no   \n",
       "BNA0918a           Natural gas                   NaN  no   \n",
       "BNA0922a           Natural gas                   NaN  no   \n",
       "BNA0933            Natural gas                   NaN  no   \n",
       "BNA1337a           Natural gas                   NaN  no   \n",
       "BNA0355                    NaN                   NaN  no   \n",
       "BNA0161                    Oil                   NaN  no   \n",
       "BNA0162                    Oil                   NaN  no   \n",
       "BNA0163                    Oil                   NaN  no   \n",
       "BNA0164                    Oil                   NaN  no   \n",
       "BNA0269                    Oil                   NaN  no   \n",
       "BNA1338                    Oil                   NaN  no   \n",
       "BNA0143            Other fuels                   NaN  no   \n",
       "BNA0289a           Other fuels                   NaN  no   \n",
       "BNA0638                  Waste                   NaN  no   \n",
       "BNA0639                  Waste                   NaN  no   \n",
       "\n",
       "                               network_node               voltage  \\\n",
       "BNA0059a                           Anlage A   Mittelspannung (MS)   \n",
       "BNA0080                        Lichterfelde     Hochspannung (HS)   \n",
       "BNA0118             Umspannanlage Kessenich                    10   \n",
       "BNA0140   DE0072032820700000000000000232556     Hochspannung (HS)   \n",
       "BNA0288                  UW Goldsteinstraße     Hochspannung (HS)   \n",
       "BNA0681                         UW Freimann     Hochspannung (HS)   \n",
       "BNA0682                         UW Freimann     Hochspannung (HS)   \n",
       "BNA0735                              Thyrow     Hochspannung (HS)   \n",
       "BNA0736                              Thyrow     Hochspannung (HS)   \n",
       "BNA0737                              Thyrow     Hochspannung (HS)   \n",
       "BNA0799                        Hohwiesenweg     Hochspannung (HS)   \n",
       "BNA0913    110kV Umspannwerk Schwarze Pumpe     Hochspannung (HS)   \n",
       "BNA0918a                        UW Götzdorf  Höchstspannung (HöS)   \n",
       "BNA0922a                            UW NORD     Hochspannung (HS)   \n",
       "BNA0933                            Gaisburg     Hochspannung (HS)   \n",
       "BNA1337a                                NaN   Mittelspannung (MS)   \n",
       "BNA0355                     Grafenrheinfeld  Höchstspannung (HöS)   \n",
       "BNA0161                         Brunsbüttel  Höchstspannung (HöS)   \n",
       "BNA0162                         Brunsbüttel  Höchstspannung (HöS)   \n",
       "BNA0163                         Brunsbüttel  Höchstspannung (HöS)   \n",
       "BNA0164                         Brunsbüttel  Höchstspannung (HöS)   \n",
       "BNA0269           Stadtwerke Flensburg GmbH   Mittelspannung (MS)   \n",
       "BNA1338              Umspannwerk Deggendorf   Mittelspannung (MS)   \n",
       "BNA0143                   Bahnstromanschluß     Hochspannung (HS)   \n",
       "BNA0289a                   UW Gutleutstraße                    30   \n",
       "BNA0638                                 H80   Mittelspannung (MS)   \n",
       "BNA0639                                 H80   Mittelspannung (MS)   \n",
       "\n",
       "                                   network_operator  \\\n",
       "BNA0059a                          VW Kraftwerk GmbH   \n",
       "BNA0080                       Stromnetz Berlin GmbH   \n",
       "BNA0118                             Bonn Netz GmbH    \n",
       "BNA0140                       Wesernetz Bremen GmbH   \n",
       "BNA0288             NRM Netzdienste Rhein-Main GmbH   \n",
       "BNA0681                      SWM Infrastruktur GmbH   \n",
       "BNA0682                      SWM Infrastruktur GmbH   \n",
       "BNA0735                   50Hertz Transmission GmbH   \n",
       "BNA0736                   50Hertz Transmission GmbH   \n",
       "BNA0737                   50Hertz Transmission GmbH   \n",
       "BNA0799        Stadtwerke Pforzheim GmbH und Co. KG   \n",
       "BNA0913   Mitteldeutsche Netzgesellschaft Strom mbH   \n",
       "BNA0918a                           TenneT TSO GmbH    \n",
       "BNA0922a                         HSN Magdeburg GmbH   \n",
       "BNA0933                               Netze BW GmbH   \n",
       "BNA1337a          Aschaffenburger Versorgungs GmbH    \n",
       "BNA0355                            TenneT TSO GmbH    \n",
       "BNA0161                   50Hertz Transmission GmbH   \n",
       "BNA0162                   50Hertz Transmission GmbH   \n",
       "BNA0163                   50Hertz Transmission GmbH   \n",
       "BNA0164                   50Hertz Transmission GmbH   \n",
       "BNA0269                   Stadtwerke Flensburg GmbH   \n",
       "BNA1338                               Bayernwerk AG   \n",
       "BNA0143                             DB Energie GmbH   \n",
       "BNA0289a            NRM Netzdienste Rhein-Main GmbH   \n",
       "BNA0638                                Netrion GmbH   \n",
       "BNA0639                             24/7 Netze GmbH   \n",
       "\n",
       "                                              merge_comment comment  \n",
       "BNA0059a                                                NaN     NaN  \n",
       "BNA0080   List matching type: Single UBA power plant ass...     NaN  \n",
       "BNA0118                                                 NaN     NaN  \n",
       "BNA0140                                                 NaN     NaN  \n",
       "BNA0288   List matching type: UBA capacity distributed p...     NaN  \n",
       "BNA0681                                                 NaN     NaN  \n",
       "BNA0682                                                 NaN     NaN  \n",
       "BNA0735   List matching type: UBA capacity distributed p...     NaN  \n",
       "BNA0736   List matching type: UBA capacity distributed p...     NaN  \n",
       "BNA0737   List matching type: UBA capacity distributed p...     NaN  \n",
       "BNA0799                                                 NaN     NaN  \n",
       "BNA0913                                                 NaN     NaN  \n",
       "BNA0918a                                                NaN     NaN  \n",
       "BNA0922a                                                NaN     NaN  \n",
       "BNA0933                                                 NaN     NaN  \n",
       "BNA1337a                                                NaN     NaN  \n",
       "BNA0355                                                 NaN     NaN  \n",
       "BNA0161                                                 NaN     NaN  \n",
       "BNA0162                                                 NaN     NaN  \n",
       "BNA0163                                                 NaN     NaN  \n",
       "BNA0164                                                 NaN     NaN  \n",
       "BNA0269   List matching type: UBA capacity distributed p...     NaN  \n",
       "BNA1338                                                 NaN     NaN  \n",
       "BNA0143                                                 NaN     NaN  \n",
       "BNA0289a  List matching type: UBA capacity distributed p...     NaN  \n",
       "BNA0638                                                 NaN     NaN  \n",
       "BNA0639                                                 NaN     NaN  \n",
       "\n",
       "[27 rows x 37 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show all Plants with invalid commisioning dates\n",
    "plantlist[plantlist['commissioned'].isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8.3.3 Compare UBA and BNetzA data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>Name</th>\n",
       "      <th>Block</th>\n",
       "      <th>BnetzaCapacity</th>\n",
       "      <th>UBACapacity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BNA0859</th>\n",
       "      <td>0.208333</td>\n",
       "      <td>Rheinkraftwerk Ryburg-Schwörstadt</td>\n",
       "      <td>Ryburg-Schwörstadt</td>\n",
       "      <td>30.00</td>\n",
       "      <td>144.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0835</th>\n",
       "      <td>0.402586</td>\n",
       "      <td>KW Rheinfelden</td>\n",
       "      <td>KW Rheinfelden</td>\n",
       "      <td>46.70</td>\n",
       "      <td>116.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0364</th>\n",
       "      <td>0.493642</td>\n",
       "      <td>Jochenstein</td>\n",
       "      <td>Jochenstein</td>\n",
       "      <td>66.00</td>\n",
       "      <td>133.70000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0444</th>\n",
       "      <td>0.627273</td>\n",
       "      <td>Wintershall</td>\n",
       "      <td>Wintershall</td>\n",
       "      <td>69.00</td>\n",
       "      <td>110.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0616b</th>\n",
       "      <td>0.688976</td>\n",
       "      <td>Kraftwerk Nord</td>\n",
       "      <td>S 300 VT 1, VT 2, NT 7</td>\n",
       "      <td>87.50</td>\n",
       "      <td>127.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0660</th>\n",
       "      <td>1.481960</td>\n",
       "      <td>Kraftwerk I</td>\n",
       "      <td>Block 4</td>\n",
       "      <td>55.56</td>\n",
       "      <td>37.49088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0662b</th>\n",
       "      <td>1.481961</td>\n",
       "      <td>Kraftwerk I</td>\n",
       "      <td>Dampfwirtschaft (6 Einzelturbinen)</td>\n",
       "      <td>169.32</td>\n",
       "      <td>114.25405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0662a</th>\n",
       "      <td>1.481961</td>\n",
       "      <td>Kraftwerk I</td>\n",
       "      <td>Block 5</td>\n",
       "      <td>68.40</td>\n",
       "      <td>46.15507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0350</th>\n",
       "      <td>3.969811</td>\n",
       "      <td>Goldisthal</td>\n",
       "      <td>PSS A</td>\n",
       "      <td>1052.00</td>\n",
       "      <td>265.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNA0652</th>\n",
       "      <td>5.972571</td>\n",
       "      <td>Markersbach</td>\n",
       "      <td>PSS A</td>\n",
       "      <td>1045.20</td>\n",
       "      <td>175.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>225 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 0                                Name  \\\n",
       "BNA0859   0.208333  Rheinkraftwerk Ryburg-Schwörstadt    \n",
       "BNA0835   0.402586                      KW Rheinfelden   \n",
       "BNA0364   0.493642                         Jochenstein   \n",
       "BNA0444   0.627273                         Wintershall   \n",
       "BNA0616b  0.688976                      Kraftwerk Nord   \n",
       "...            ...                                 ...   \n",
       "BNA0660   1.481960                       Kraftwerk I     \n",
       "BNA0662b  1.481961                         Kraftwerk I   \n",
       "BNA0662a  1.481961                        Kraftwerk I    \n",
       "BNA0350   3.969811                          Goldisthal   \n",
       "BNA0652   5.972571                         Markersbach   \n",
       "\n",
       "                                       Block  BnetzaCapacity  UBACapacity  \n",
       "BNA0859                   Ryburg-Schwörstadt           30.00    144.00000  \n",
       "BNA0835                       KW Rheinfelden           46.70    116.00000  \n",
       "BNA0364                          Jochenstein           66.00    133.70000  \n",
       "BNA0444                          Wintershall           69.00    110.00000  \n",
       "BNA0616b              S 300 VT 1, VT 2, NT 7           87.50    127.00000  \n",
       "...                                      ...             ...          ...  \n",
       "BNA0660                             Block 4            55.56     37.49088  \n",
       "BNA0662b  Dampfwirtschaft (6 Einzelturbinen)          169.32    114.25405  \n",
       "BNA0662a                            Block 5            68.40     46.15507  \n",
       "BNA0350                                PSS A         1052.00    265.00000  \n",
       "BNA0652                                PSS A         1045.20    175.00000  \n",
       "\n",
       "[225 rows x 5 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# TODO: improve this comparison, it creates many false positives\n",
    "\n",
    "capacitycomparison = pd.DataFrame(plantlist.capacity_net_bnetza / plantlist.capacity_gross_uba)\n",
    "capacitycomparison['Name'] = plantlist.name_bnetza\n",
    "capacitycomparison['Block'] = plantlist.block_bnetza\n",
    "capacitycomparison['BnetzaCapacity'] = plantlist.capacity_net_bnetza\n",
    "capacitycomparison['UBACapacity'] = plantlist.capacity_gross_uba\n",
    "capacitycomparison.dropna(inplace=True)\n",
    "capacitycomparison.sort_values(by=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 9. Result export"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Write the results to file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "output_path = 'output'\n",
    "\n",
    "plantlist.to_csv(\n",
    "    os.path.join(output_path, 'conventional_power_plants_DE.csv'),\n",
    "    encoding='utf-8', index_label='id'\n",
    ")\n",
    "\n",
    "plantlist.to_excel(\n",
    "    os.path.join(output_path, 'conventional_power_plants_DE.xlsx'),\n",
    "    sheet_name='plants', index_label='id'\n",
    ")\n",
    "\n",
    "plantlist.to_sql(\n",
    "    'conventional_power_plants_DE',\n",
    "    sqlite3.connect(os.path.join(output_path ,'conventional_power_plants.sqlite')),\n",
    "    if_exists=\"replace\", index_label='id'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "End of script."
   ]
  }
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