{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparative net energy analysis of renewable electricity and carbon capture and storage\n",
    "*Sgouridis, Carbajales-Dale, Csala, Chiesa, Bardi*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use this Jupyter workbook to reproduce all results presented in the paper."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Paper GitHub folder](https://github.com/csaladenes/sustainable-energy-transitions/ccs)  \n",
    "[Parent project GitHub repository](https://github.com/csaladenes/sustainable-energy-transitions)  \n",
    "[This workbook for machine reading on GitHub](https://github.com/csaladenes/sustainable-energy-transitions/blob/master/ccs/eroei-ccs-workbook.ipynb)  \n",
    "[This workbook for human reading on nbviewever](nbviewer.jupyter.org/github/csaladenes/sustainable-energy-transitions/blob/master/ccs/eroei-ccs-workbook.ipynb)  \n",
    "[High-resolution plots folder](https://github.com/csaladenes/sustainable-energy-transitions/tree/master/ccs/plot)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p>This is document has been created using  <a target=\"_blank\" href=\"http://jupyter.org/\">Jupyter Notebook</a> in the <a target=\"_blank\" href=\"https://store.continuum.io/cshop/anaconda/\">Anaconda</a> distribution and it can be edited and run in <i>active</i> mode by clicking download in top right corner of this page. The code is partitioned into sections, called <i>cells</i>. When you are using this workbook in <i>active</i> mode, double-click on a cell to edit it and then run using <code>Ctrl + Enter</code>. Hitting <code>Shift + Enter</code> runs the code and steps into the next cell, while <code>Alt + Enter</code> runs the code and adds a new, empty cell. If you are running this notebook on a presonal computer, you will need a machine with at least <i>1GB</i> of memory (<i>2GB</i> recommended) and a processor of <i>1GHz</i>."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on Python 3.6.6 |Anaconda, Inc.| (default, Jun 28 2018, 11:27:44) [MSC v.1900 64 bit (AMD64)]\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd, matplotlib.pyplot as plt, numpy as np\n",
    "from matplotlib.colors import BoundaryNorm\n",
    "from matplotlib.ticker import MaxNLocator\n",
    "import matplotlib.patches as patches\n",
    "import matplotlib.lines as lines\n",
    "%matplotlib inline\n",
    "import sys, string\n",
    "from sympy import *\n",
    "init_printing() \n",
    "print('Running on Python',sys.version)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fossil fuels part"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Equations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This section reproduces all the equations presented in the paper (supplementary material). This is just for easier visual guidance and for quick checking."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAJsAAAAWCAYAAADXT+6KAAAABHNCSVQICAgIfAhkiAAABRtJREFUaIHt2mmsXVMUB/DfKxWUIsYKiRpaY6piKiWGEomhfcEX8weUDxJqqqCImKKJhCDRKCEiQVTNIiRUiHkIMaR41Dyr2fNaH9Y+3nnnnvfu4Nzbfrj/5Oa8s9fae/3vO+vu9d97H7roYgXiSSyv87mojv83WISjG4i3Ja7A6/gBf6EPt2NSG3ju3wCnqtEs105gYwzg+kJ727iuWtK2C/4RCTAc7i/4L8fl6boqtsUMTMUsXFcyRo8gfSFWwzN4Dr9hZ5yAYzET8yvk+doI/u1Cs1w7gekYhQWF9o5x3UpzDyTzf6/Edlqy9ZXYenBbsr+MCSU+B6JffPHJFfF8v0H/KtEs107hMXyHVXJtbeU6qnC/a7q+3GD/zP/VEtvj6bpRiW02Tkr99sEHJT5P4WbxzzizIp6vNOhfJZrl2gmsgwPwkCilGdrKtapkK3uIW6fru4X28bgMfwpN9+cI4z+RrlOGidtNttZwqJAuxXLYVq5FzZYF2wubDdPnWqGr8v7FmW19zE1/X12wnYPRuAkf1+G3JF3XqYhnvWQ7E+vW8cnjDTxQx6dZrp1Ab4r3ZKG9Y1x78JORVyHfD+M/F5eKRcIdqX0pTi+J8UXqs6v62D/5vlMBzwGsVSdeX51xi5/b64zXLNdOYHX8gnsL7a1wvRH3tUJiYhpwUZP+ZZ9fcUhJn02TvV/5SriIC5L/nRXwfKeeYxvQLNcqMRePlLQfITgdU2hvhet66v+A/0Nes2UzzZsN9s3854tfRY8on7MwBnerLUkbpOsvYpU5EnrE1gdDtUWrPFekXmuUa5XYTfl37sXfahOxFa4/iomlIeRnl1YfYl6v/SD21KYI8X88bsjZf0rXdbEmfh9h/GOwg1hgLKyAZyPJVrVma+UBbo9rsK/Y4L4H5+KPZD9IJMoYUSFgc3wqFmWfCk01Oo0xB29jJ7GyPxxP4+f/yXUzoam3FVtKWwgN3ivk01R8hVNSvCFYJKbR3RsMlvnvUWI7ONmeL7F9lmzTRxh7gvhn9AuxWgXP4oq2DH2q1WzNcp0kvvdV2EZsC30iRHmGc0WS53G40Mg9olrtnou7iSh3DGrgUyvgephI6qw6Tk/9n8E0kfgPipOhIRglStsA1mggUObfLwRnEaPFFLtM6LQ8zk6kPiyxZV/iW1FmT6qQZyP+VaJZrvAi5hXazjN0M/outUk+R5y+ZJhhMPnyuCHx2bgCrhfihQKHpRiXaztRTC4YLKPbCaG3FOePEOAWsZrM/N9Uvk/Wj0dFKewVq5YM14njqOPEycNCMfVviL1FGfkq9XuoMG6rPN8yWIY6hWa5ThSzyskF+99iTyzDZLUJubOh5W9yul9e8Jshqs3X/5NrFjM/w07Cw/gy17YlFhcHOUH9kjGAtQv+t45A7KjkU1OvE44UCfmtSM6v8SzOwthh+rSDZ7vQLNcjxWxeXKXPM6gL10g+xZcJlghtlGGh2gP23VLMWRVwJU59ZubuF+OMwrgPKj8X72IF4yAhO9bMtY0Tuih7e2ZH8eDzpWpftVrrI7Uz5JXJb3wFXMeI5Mv0+lqJ+9SC3xKRyF2sZBgrXs26XpSf/UQpXGBQe20iHmpvut9DSJGi1upL42xqcHX9rtqFRauYkmJmP4y91G6ary+Se6eKYnZRMfbES2JL6CNcLBZbecwWW0yfi9OaS9SePx8rhPkyQ/VyVTitEPN0tW/+TBN6vpHN+y666KKLLrrooosuVhL8C2Xe6LFIWKEJAAAAAElFTkSuQmCC\n",
      "text/latex": [
       "$$EROEI = \\frac{E_{out}}{E_{in}}$$"
      ],
      "text/plain": [
       "        Eₒᵤₜ\n",
       "EROEI = ────\n",
       "        Eᵢₙ "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var('EROEI E_out E_in');\n",
    "eq_S1=Eq(EROEI,E_out/E_in)\n",
    "eq_S1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$EROEI = \\frac{E_{out}}{E_{OM} + E_{cap} + E_{f}}$$"
      ],
      "text/plain": [
       "               Eₒᵤₜ       \n",
       "EROEI = ──────────────────\n",
       "        E_OM + E_cap + E_f"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var('E_cap E_f E_OM');\n",
    "eq_S1i=Eq(EROEI,E_out/(E_cap+E_OM+E_f))\n",
    "eq_S1i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$E_{in} = E_{cap} \\left(L s_{OM} + 1\\right) + E_{f}$$"
      ],
      "text/plain": [
       "Eᵢₙ = E_cap⋅(L⋅s_OM + 1) + E_f"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var('L s_OM');\n",
    "eq_S2i=Eq(E_in,E_cap*(1+L*s_OM)+E_f)\n",
    "eq_S2i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$E_{out} = L P cf$$"
      ],
      "text/plain": [
       "Eₒᵤₜ = L⋅P⋅cf"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var('P L cf');\n",
    "eq_S2ii=Eq(E_out,P*cf*L)\n",
    "eq_S2ii"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$E_{out} = E_{el}$$"
      ],
      "text/plain": [
       "Eₒᵤₜ = Eₑₗ"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var('E_el');\n",
    "eq_S2iii=Eq(E_out,E_el)\n",
    "eq_S2iii"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$E_{th} = \\frac{L P cf}{\\eta}$$"
      ],
      "text/plain": [
       "      L⋅P⋅cf\n",
       "Eₜₕ = ──────\n",
       "        η   "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "e=Symbol('eta')\n",
    "var('E_th');\n",
    "eq_S2iv=Eq(E_th,P*cf*L/e)\n",
    "eq_S2iv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$E_{f} = \\frac{E_{th}}{EROEI_{th}}$$"
      ],
      "text/plain": [
       "        Eₜₕ  \n",
       "E_f = ───────\n",
       "      EROEIₜₕ"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var('EROEI_th');\n",
    "eq_S3i=Eq(E_f,E_th/EROEI_th)\n",
    "eq_S3i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#define pretty variable substituion function\n",
    "def sub(var,eq):\n",
    "    return [var,solve(eq,var)[0]]\n",
    "#create multiple substituion method by chaining\n",
    "def multisub(eq0,msub):\n",
    "    for i in range(len(msub)//2):\n",
    "        eq0=eq0.subs([sub(msub[i*2],msub[i*2+1])])\n",
    "    return eq0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$EROEI_{el} = \\frac{L P cf}{E_{cap} L s_{OM} + E_{cap} + \\frac{L P cf}{EROEI_{th} \\eta}}$$"
      ],
      "text/plain": [
       "                       L⋅P⋅cf             \n",
       "EROEIₑₗ = ────────────────────────────────\n",
       "                                   L⋅P⋅cf \n",
       "          E_cap⋅L⋅s_OM + E_cap + ─────────\n",
       "                                 EROEIₜₕ⋅η"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var('EROEI_el');\n",
    "eq_S3=Eq(EROEI_el,multisub(eq_S1,[E_out,eq_S2ii,E_in,eq_S2i,E_f,eq_S3i,E_th,eq_S2iv]).rhs)\n",
    "eq_S3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAS8AAAApCAYAAABk8K9xAAAABHNCSVQICAgIfAhkiAAADKxJREFUeJztnXu0HdMdxz83EiGeEVqJNk8iQW4uN6oiQlZLX2kbgmiReqSoIqRSpSws1VajlKJe5ZKGPmhp0aoI9VqEkEhSRBERj1DRpKlXRPrHd4/ZZ87MmT1z5txzz83+rHXWOWf2b2bvM2dmz/799m//fuDxeDwej6fmNFW5/yTgBeBD4Fc59u8JLAMGVdmOJG4GptTo2GlUe249nk7FLGBtzOv2HMcaBgyuoi1DUKc1HugNbJTjGNOA6xPKhgMzgKXAe8CLwHRgR0vGPh+rgUXAkVZ5M7Ac2CxH29IYDfwFeNXUf0CkvCvwtRrU6/E0JG8DpwNbR16bZjzO+sAPqmzLVGBOFfv3AP4D7BlTNhF1jNcCewB9jdx04EpL7m3gNHQO+gE/Bj5CnVbAHOC7GdrVBpztIPcl4EfA/sR3XgBfBnbNULfH0ykZhG6SPQo41mRglyr2X0TpyO+WHMc4EI2KourVSNRxnZyw3xbmPTgfO1tl/c22g61tZwEPZWhXG26dl01S59UFuC7jsepCl3o3wNOpaQXWAE8WcKyxwBNV7D8KdWBnIJXxiJzHmINufJtfAA8DFyXst9y8twIrgafM997Az9DIyz5Hj6LRz4Y52lgtH6H/rG8d6s6E77w8taQVWA94A1hlvX7nsO9Y4FLzeRt0Q1XDSmAgGtG8br5npT+yF9kMQR3NZQ77twIbAyuAd8yxvo4M9M9acq8C3YA+OdpYBPOQitmh8Z2Xp5a0IvWsJfJysec0o5sIZKR/LVJ+NvETAfZrb0t+J2SQnpv5V4RsgAzxNi3m3cWW1gpcY/YZBfwduAq4OCL3rnlPGnmdTunD4JCYbXF2OVdeo7qJkXaha70b4OnU7IwMxP+qILMdUre2RjftgWhkNBy40Mh8gvKR0qXAb1PqX2J9bgFeQgb3gB2Bq9HkwYvABDQiuhV4H43UeiF71Gzg38hVwiboYFaltAV0PqYTno+jkdvGFcBCSy6wkb2ZcJwrgN9b388HXgEusba94tCeJFagc+7xrJMMoHz0E6U7cA+hfeXbwLnm80JCV4bxhCpkXi5FnVLABqaO4eb7z4HjzOcX0EgG4BvAH8znU4AFkePuin7nQQn19jDvwfmITjrMQTOONpPI1vm0UZzBHqQy/jrj8dqdOLXxbtKH42ekyL8BPICeomkMBM5DBsvl6Im3GP0hwxP3yt/OMQ5t8lRPq3l/nXI3ifVM2ThgKPBnpM5NAT5AHUsT8D8jt4zsrhVRWihVGccBMwlV02eArZBNqjsypIM6uGC0dZdp75bWcR4D7kSd4+FoJLktGsXdQ3gNtyJj+NORdt2NXBdsRgN/y/DbXNmYUHUH2fBaKDfOb4ru4Q5NnNq4C5r2Pa/Cfn+MyK9FT8y15phD0MUxCl2QcbMwTahz+SHy4fkH8CC6YFuQ38whwDHId6aodlYzY+VxJ+i8ojfrWtQZrEBOp6cAN0ZkRlCqRi2gutmvJmRDu8DaNhSYb30fhh64zabuD832nQlnB+ejmcCDKR0J7o9cOaYgw/0HaPR2B+EsYivwPKE9K+Bu4FSkwi5Eaug4YN/MvzKdEcC91vdp5v161PEGDKQB75PAD8W14YH8MzFlx5qyxTFlTciXZC16csUZBz+HPJA/pNQvppp2Ppsm6GlXjkcj7MBvaph5Pwo4MyJ7O+GIrQiOIbx5m4F/ohHXscilohvqZGcDn7L2+4IpL7ItNscjQ349mUFtPPxrygR0k1+ZJhiRnxFT1t+UvRNTdpopexypCElcYuSiyzGKbKenfmwE/Ak9/OYSGugvRi4ENuOQ93dR9EBLZeYj94mdzPbLgZ+gEdb8hDpPRN7xteBoYPsaHduFHoT/Q0MxDd3kkzLKx3kWf96URaeQB6Bh9bvmcyW+Yo6xqIbt9DQOp7ZDHQ+Sfl12Zg6jdKTZYYnavEaY95Ek/4BphIbUQD7aQfUitC/8NFJ2ChqSX46mpyvxsnmPDmHztvPxlPrqwUnA5hnk51I6a7YucQ0aldRS/e9LvKljXaAbGgUvrXdDstKEfGAqzd69lSB/AZqqPRe4wWxfCXwnpo5gRfsI0hljZG3jbd52rkGzLR2NxaTPmtqvtno00uPpyGyPbo4HMsrHvVYBX4zZpw9hKBAXB9nANja9gHYuTCh3CWPiKrcNmm16zsi8gUKg7ObYVo/H44jt5xWMhObFCcYQyF+LRjdNSF2cggyxN1GuDgX+Mf8lnIpOogm5SkCpy0PedsapjBORyvs+MuoPNttARtkscv3QtHgfNO08BDkBPoE6a4/HUyD26Cdvp2Dbu5Yjn67dkYPqYcAvrfJgacbmaFYjbiYy4JtoVPM0cFsB7Yx2XiNRxzuVUj+0JWhUt0VGuRPRRMR45IwIUgnvT2mft3l5PFXyAFKvPpNRPk4l2teUPRxTttSURafCbQYjJ8bVqPMoop27R7bPJr1jySJ3HVIT+zu2K2Axxdm8shzHv/yrkV8f0wWpcmtwiyEUyK8m3k+rG4oY+RHlYT2+Zyp/PqYMFArlTaRWHp5Qb5522vJDTBsmpOzvKgfyoF6CfvNs5CsUtZt5PJ6CCNTGoWgmbiWVfWmuQrOFgfw8ykOEgDqLO5Hqtx+lsY4uQst/DkXTsrehm34rFHFzB7Qebj/kRGiTt51PUboswzWMSZZwJ3PQsoo9gX1Q+6ci1fkmh/0bnSZKn4iT0OLmvihyQ3TmuaMS/R02PdE1OxI9fNclbkaaVIdzYJ1I+jBtDbBJRL7SyvMDjMyshPLxqIN7E3V2y5B6djLJi3CLaucRZvvWFdqfRS6O9dCs419z7FstRSa9cCGaGKOIRBe1opokFEnJN+5HLkKNSto5gdomBmnv67WhcQ1j4ioXR1fkZFuPi7qopBcuxCXGqDbRRR7aqG0SiqTkG01IE5js3tR2oQ33MDku5wSyJQbJUn97Xq+dgjuQgf1wysOY7J5R7jcoOsZnkcvEXma/FYRr5tqLIpNeuBBNjFFEoos8tFHbJBRJyTcGm+OMSqijCfg+WhUQ+P7dnLGdeWgj+/mAyp3XWbgnBnGtP/f1ui5HUnUJY+IqNwf94SchlfVlNBRuIX0JVNEUmfTChbGUhjEehWZ4b0DqeiV3mI6KnYQiiMaalHwjiNOVFF56KjI/HIciqPamcpy6jsyj6CG9IeWhffLS3terpwNzPrrBVpE96UVWtqE8aN4GyIa5dw3qq0QbxUYTPQGFzQm4jXh71zTKY5bZzEJRWpM4FPkgzkMGcXvZ3GTTRruzu9Bs613hmFCbkVezKXfJFu5av+v1eg16QJzlcExPgzITqSXbRl5bVtopJ2MoV69GoIsxi+NtHqIJJ1ajUXGWJBSVbtQDKO107iI+BNMsZDZI4gQ0spiJ7EX2/3Ck2d92iF5C6NZzNZopD2yufdDob1lMPUWcD6h8TrYz5XGmkLz1u1yvOyIzjaeT8xbpoX8+jUYST6I1nwOQW0sQw+ouwsmIW9FT8DGkLtvOwRMoz3wzifKoDEXVZ7MFpRf7LSj+m70tzRew0o26D6VramdQmvQi4G3Sz/cgZHaYi+ygQ5ExegnwyYjsY8h2CvAIUtOCwIyXoejD98XUUcT5gMrnZDdTHm1zNfWnXa87oHj+S9H58HRSXJJerI86jCCW/2YogmgvS+ZywhUQSckoID4xRjTRRZH1VaKN2iahiEu+MdAcYy/H+rqimckJSCWNG7E9hKK1NiHj/jDUcfZFLhmHUrrkLok2ilcbsyQGcanf5XoFqeZlbfJ5GzsXLkkv9kMrAO4131egBedHoaf+PBSj/T0qJ6OA+MQY0UQXRdZXBHmTUMQl3wjO92qkSgWvoWb7qWiWegc0K3kOUqXuM3J2DH3QypShqJPsjzqKZ9BNfiZyZxhGeSdaLa7npOjEIC7XKyT85nV5trEz4pr0Ynak/FvoBhuNZpEWoY6jUjIKKE+MEZfoosj6iiBvEoq45BuBi0jUfWAB+t3dkQ9cPxQY8xGUm2EZ+i+6R/Y7yLTtFeCrps7VaPQ6CMW2n0xpoIIicDkntUgM4nK9glTO5wqs19OgnECodnRB6ts0wpm1YwiDOaYlo4D0xBhF19dexCWhKDL5xkh00wYjy1Zz7O3M99ORfxjIx6zZfH6J+jhv1isxSE8aMJORpzZsgpZlLUAG9FHoxngR2VTOIXwKuySjSEuMUXR97UGlJBRFJt84Go0sn0Kzbs1W2Y2U//5NUedVD+qVGGQ0jb30ylMnXJNRFJUYo6Mkv2iYJBQejyeeJZQvh4mjF8U8lV3rqyXdKF/X6PF4PB6Px+PxeDwej8fj8Xg8Nef/N1Crk/35D6gAAAAASUVORK5CYII=\n",
      "text/latex": [
       "$$EROEI_{CCS} = \\frac{E_{el} \\left(- \\operatorname{f_{op}}{\\left (CR \\right )} + 1\\right)}{E_{cap} \\left(f_{cap} + 1\\right) \\left(L s_{OM} + 1\\right) + E_{f}}$$"
      ],
      "text/plain": [
       "                     Eₑₗ⋅(-fₒₚ(CR) + 1)         \n",
       "EROEI_CCS = ────────────────────────────────────\n",
       "            E_cap⋅(f_cap + 1)⋅(L⋅s_OM + 1) + E_f"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var('CR f_op EROEI_CCS f_cap');\n",
    "eq_S4=Eq(EROEI_CCS,E_el*(1-f_op(CR))/(E_cap*(1+f_cap)*(1+L*s_OM)+E_f))\n",
    "eq_S4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/latex": [
       "$$EROEI_{CCS} = \\frac{EROEI_{el} \\left(E_{cap} \\left(L s_{OM} + 1\\right) + E_{f}\\right) \\left(- \\operatorname{f_{op}}{\\left (CR \\right )} + 1\\right)}{E_{cap} \\left(f_{cap} + 1\\right) \\left(L s_{OM} + 1\\right) + E_{f}}$$"
      ],
      "text/plain": [
       "            EROEIₑₗ⋅(E_cap⋅(L⋅s_OM + 1) + E_f)⋅(-fₒₚ(CR) + 1)\n",
       "EROEI_CCS = ─────────────────────────────────────────────────\n",
       "                   E_cap⋅(f_cap + 1)⋅(L⋅s_OM + 1) + E_f      "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var('CR f_op EROEI_CCS f_cap');\n",
    "eq_S5=Eq(EROEI_CCS,(1-f_op(CR))*(E_cap*(1+L*s_OM)+E_f)*EROEI_el/(E_cap*(1+f_cap)*(1+L*s_OM)+E_f))\n",
    "eq_S5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$R = \\frac{E_{f}}{E_{cap} \\left(L s_{OM} + 1\\right)}$$"
      ],
      "text/plain": [
       "           E_f        \n",
       "R = ──────────────────\n",
       "    E_cap⋅(L⋅s_OM + 1)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var('R');\n",
    "eq_S6i=Eq(R,E_f/(E_cap*(1+L*s_OM)))\n",
    "eq_S6i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$EROEI_{CCS} = \\frac{EROEI_{el} \\left(R + 1\\right) \\left(- \\operatorname{f_{op}}{\\left (CR \\right )} + 1\\right)}{R + f_{cap} + 1}$$"
      ],
      "text/plain": [
       "            EROEIₑₗ⋅(R + 1)⋅(-fₒₚ(CR) + 1)\n",
       "EROEI_CCS = ──────────────────────────────\n",
       "                    R + f_cap + 1         "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eq_S6=Eq(EROEI_CCS,(1-f_op(CR))*(R+1)*EROEI_el/(R+1+f_cap))\n",
    "eq_S6"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have made a major simplifaction step from _Eq. S5_ to reach _Eq. S6_. Here we prove by symbolic evaluation of the subtituted expressions that we were correct."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/latex": [
       "$$EROEI_{CCS} = - \\frac{EROEI_{el} \\left(E_{cap} \\left(L s_{OM} + 1\\right) + E_{f}\\right) \\left(\\operatorname{f_{op}}{\\left (CR \\right )} - 1\\right)}{E_{cap} \\left(f_{cap} + 1\\right) \\left(L s_{OM} + 1\\right) + E_{f}}$$"
      ],
      "text/plain": [
       "            -EROEIₑₗ⋅(E_cap⋅(L⋅s_OM + 1) + E_f)⋅(fₒₚ(CR) - 1) \n",
       "EROEI_CCS = ──────────────────────────────────────────────────\n",
       "                   E_cap⋅(f_cap + 1)⋅(L⋅s_OM + 1) + E_f       "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eq_S5.simplify()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$EROEI_{CCS} = - \\frac{EROEI_{el} \\left(E_{cap} \\left(L s_{OM} + 1\\right) + E_{f}\\right) \\left(\\operatorname{f_{op}}{\\left (CR \\right )} - 1\\right)}{E_{cap} \\left(f_{cap} + 1\\right) \\left(L s_{OM} + 1\\right) + E_{f}}$$"
      ],
      "text/plain": [
       "            -EROEIₑₗ⋅(E_cap⋅(L⋅s_OM + 1) + E_f)⋅(fₒₚ(CR) - 1) \n",
       "EROEI_CCS = ──────────────────────────────────────────────────\n",
       "                   E_cap⋅(f_cap + 1)⋅(L⋅s_OM + 1) + E_f       "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eq_S6.subs(R,eq_S6i.rhs).simplify()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#eq_S6 is correct!\n",
    "eq_S6.subs(R,eq_S6i.rhs).simplify()==eq_S5.simplify()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Simulation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this part we show you how to reproduce the graphs presented in the paper, which form the basis of our results discussion and conclusions. There is a similar section for the _Renewables_ part. First, we illustrate a representative range for _CCS_ operational parameters for a number of fossil fuel plants. We then take note of the _min_ and _max_ ranges and plot the values alongside those obtained from the _Renewables_ part. The calculations are based on actual power plant data, stored in the _Excel_ file `plants.xlsx`, found in the project folder and presented in _Table S1_ in the supplementary material of the paper."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the formula in Eq.4 and the plant values from the Table S1 (reproduced from `plants.xlsx`) calculate the $EROEI_{el}$ for all capacity factors $CF$s between 50 and 90. We then use these values as a proxy to create an a adjustment factor for the $EROEI_{el}$ due to the indirect effect of the change of the capacity factor. The same is true for the _operational versus capital energy investment ratio_, $R$. We therefore created capacity-factor adjusted values for $R$ as well."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to manipulate the _Excel_ file on the fly, we use a _python_ module called `xlwings`. This will open an _Excel_ application in the background. Be sure to either manually close it after you're done or run the cell just above the **Auxiliary plots** section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xlwings as xw #will open a MS Excel application, let it run in the background\n",
    "wb = xw.Book('plants.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We define a function `eroei_r_getter` which takes as parameters the capacity factor $CF$ and the $EROEI_{fuel}$ for the two studies fossil fuels, _Coal_ and _Natural Gas_. Then, this function sets the correct $CF$ and $EROEI_{fuel}$ values in the _Excel_ workbook, which then recalculates the resulting $EROEI_{el}$ and $R$ values. Since we have 3 _IGCC Coal_, 2 _Pulverized Coal_ and 1 _NGCC Gas_ plant, we average over $EROEI_{el}$ and $R$ values within each group. The resulting _pandas dataframe_ is returned by the function, which now contains 3 columns `['IGCC','PC','NGCC']` and 2 rows `['EROEI_el','R']`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "def eroei_r_getter(CF=100,EROEI_fuel_coal=58,EROEI_fuel_gas=87):\n",
    "    xw.Range('L7').value=CF/100.0 #hard-coded Excel workbook cell ID for capacity factor\n",
    "    xw.Range('M8').value=EROEI_fuel_coal #hard-coded Excel workbook cell ID for EROEI_fuel for Coal\n",
    "    xw.Range('O8').value=EROEI_fuel_gas #hard-coded Excel workbook cell ID for EROEI_fuel for Gas\n",
    "    wb.save() #write new values\n",
    "    df=pd.read_excel('plants.xlsx',usecols=range(10,24)).loc[[37,38]]\n",
    "    df=df[df.columns[1::2]]\n",
    "    df.columns=['IGCC 1','IGCC 3','IGCC 5','PC 9','PC 11','NGCC 13']\n",
    "    df.index=['EROEI_el','R']\n",
    "    df['IGCC']=(df['IGCC 1']+df['IGCC 3']+df['IGCC 5'])/3.0\n",
    "    df['PC']=(df['PC 9']+df['PC 11'])/2.0\n",
    "    df['NGCC']=df['NGCC 13']\n",
    "    return df[['IGCC','PC','NGCC']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>IGCC</th>\n",
       "      <th>PC</th>\n",
       "      <th>NGCC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>EROEI_el</th>\n",
       "      <td>12.0177</td>\n",
       "      <td>14.0583</td>\n",
       "      <td>31.9783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R</th>\n",
       "      <td>1.5745</td>\n",
       "      <td>2.06751</td>\n",
       "      <td>2.91996</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             IGCC       PC     NGCC\n",
       "EROEI_el  12.0177  14.0583  31.9783\n",
       "R          1.5745  2.06751  2.91996"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eroei_r_getter(95,58,87) #example to get the EROEI_el and R for capacity factor 95% and EROEI_fuels of 58 for Coal and 87 for Gas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create reasonable operating range for capacity factor $CF$ (%)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$\\left [ 50, \\quad 55, \\quad 60, \\quad 65, \\quad 70, \\quad 75, \\quad 80, \\quad 85, \\quad 90, \\quad 95, \\quad 100\\right ]$$"
      ],
      "text/plain": [
       "[50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CFs=[i*5 for i in range (10,21)]\n",
    "CFs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This cell is just an illustration of the pseudo-linear relationship between $CF$ and $EROEI_{el}$ (top row) and $R$ (bottom row), respectively. Note that the relationship is also nonlinear with regards to $EROEI_{fuel}$ (left vs. right column)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "EROEI_fuel=[[58,87],[23,20]]\n",
    "dfe=[]\n",
    "dfr=[]\n",
    "for j in range(len(EROEI_fuel)):\n",
    "    EROEI_fuel_coal=EROEI_fuel[j][0]\n",
    "    EROEI_fuel_gas=EROEI_fuel[j][1]\n",
    "    dfs1=[]\n",
    "    dfs2=[]\n",
    "    for i in range(len(CFs)):\n",
    "        df=eroei_r_getter(CFs[i],EROEI_fuel_coal,EROEI_fuel_gas)\n",
    "        df1=df.loc['EROEI_el']\n",
    "        df2=df.loc['R']\n",
    "        df1.name=CFs[i]\n",
    "        df2.name=CFs[i]\n",
    "        dfs1.append(df1)\n",
    "        dfs2.append(df2)\n",
    "    dfe.append(pd.concat(dfs1,axis=1))\n",
    "    dfr.append(pd.concat(dfs2,axis=1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Figure S3._ presents two $EROEI_{fuel}$ values for _Coal_ and _Gas_ (columns), respectively, and the dependence of $EROEI_{el}$ (top row) and the _Fuel to capital ratio_ $R$ (bottom row) on the _Capacity Factor_ $CF$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plots init\n",
    "fig,axes=plt.subplots(2,2,figsize=(8,6),subplot_kw=dict(facecolor='#EEEEEE',axisbelow=True))\n",
    "for axi in axes:\n",
    "    for ax in axi:\n",
    "        ax.grid(color='white', linestyle='solid')                       \n",
    "plt.subplots_adjust(wspace=0.15)\n",
    "plt.subplots_adjust(hspace=0.1)\n",
    "\n",
    "for j in range(len(EROEI_fuel)):\n",
    "    EROEI_fuel_coal=EROEI_fuel[j][0]\n",
    "    EROEI_fuel_gas=EROEI_fuel[j][1]\n",
    "    df=dfe[j]\n",
    "    ax=axes[0][j]\n",
    "    df.T.plot(ax=ax,grid=True,legend=False)\n",
    "    ax.set_title('$EROEI_{fuel}$ Coal$='+str(EROEI_fuel_coal)+'$\\n$EROEI_{fuel}$ Gas$='+str(EROEI_fuel_gas)+'$') \n",
    "    df=dfr[j]\n",
    "    ax=axes[1][j]\n",
    "    df.T.plot(ax=ax,grid=True,legend=False)\n",
    "    for axi in range(len(axes[j])):\n",
    "        ax=axes[j][axi]\n",
    "        ax.text(0.04, 0.95, string.ascii_lowercase[axi*len(axes)+j],\n",
    "            horizontalalignment='left',\n",
    "            verticalalignment='top',\n",
    "            transform=ax.transAxes,size=13,alpha=0.7,\n",
    "                          bbox=dict(boxstyle=\"round\", fc=\"w\", alpha=0.7))\n",
    "        \n",
    "\n",
    "axes[1][1].set_xlabel('Capacity Factor $CF$  (%)',fontsize=13,x=0)\n",
    "axes[0][0].set_ylabel('$EROEI_{el}$',fontsize=13)\n",
    "axes[1][0].set_ylabel('Fuel to capital ratio $R$',fontsize=13)\n",
    "#axes[0][1].set_yticklabels('')   \n",
    "#axes[1][1].set_yticklabels('')   \n",
    "axes[0][0].set_xticklabels('')   \n",
    "axes[0][1].set_xticklabels('')  \n",
    "axes[0][0].legend(framealpha=0)\n",
    "\n",
    "#plt.suptitle('Normalized Relationship of $EROEI_{el}$ and $R$ to Capacity Factor $CF$ ',fontsize=13,y=1.01)\n",
    "plt.savefig('plot/png/figS3.png',dpi=300,bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.savefig('plot/eps/figS3.eps',format='eps',bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.savefig('plot/pdf/figS3.pdf',format='pdf',bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need to create a energy penalty conversion ratio for the Capture Ratio $CR$. We use the _Energy penalty_ figure _Fig. S1_ from the supplementary material. We then use this value to adjust the value of the operational energy penalty $f_{op}$. All this means that a higher Capture Ratio $CR$ lowers $EROEI_{CCS}$ more - and we would like to create a measure about how much. We use the middle solid black line, linear approximation from the plot."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "|CR | energy penalty  |\n",
    "|--|--|\n",
    "|60| 7.8  |\n",
    "|90| 11.8|"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will only test Capture Ratios $CR$ of $60$ and $90$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$\\left [ 1, \\quad 0.6610169491525423\\right ]$$"
      ],
      "text/plain": [
       "[1, 0.6610169491525423]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CR=[90,60]\n",
    "CR_ratio=[1, 7.8/11.8]\n",
    "CR_ratio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a simple fuel name convereter function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fuel_name_converter(fuel):\n",
    "    if fuel=='NGCC\\nGas': return 'NGCC'\n",
    "    elif fuel=='IGCC\\nCoal': return 'IGCC'\n",
    "    elif fuel=='Pulverized\\nCoal': return 'PC'\n",
    "    else: return None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define $EROEI_{CCS}$ calculator function `eroei_ccs_cycler`, including minimums and maximums over $f_{op}$ and $f_{cap}$. This function takes as input:\n",
    "- an array `names`, which holds the fossil fuel type names\n",
    "- their $EROEI_{fuel}$s, same length, in the same order\n",
    "- $f$ extent envelopes `t0s` in the format [_min_ $f_{op}$,_max_ $f_{op}$, _min_ $f_{cap}$,_max_ $f_{cap}$], with this array repreated for each `name`\n",
    "- Capacity Factor $CF$ array - of any length, percentage values between $50$ and $100$, increments of $5$.\n",
    "- Cpature Ratio $CR$ array - of any length - but only defined for percentage values $60$ and $90$ need to define other levels using _Fig. S1_ if using differenet values.\n",
    "- Ranges of any length for percentage values $f_{op}$ and $f_{cap}$. Values between $0$ and $200$, any increment.  \n",
    "\n",
    "The function will iterate over all inputs and return 4 multidimensional variables. First, uisng the `eroei_r_getter`, the function will calculate the corresponding $EROEI_{el}$ and $R$ to the $CF$ and $EROEI_{fuel}$ input. Then it will calculate $EROEI_{CCS}$ using _Eq. S6_, for all variable ranges. The `t0x` inner loop keeps track of the _minimums_ and _maximums_. Finally, it returns the calculated 2-dimensional arrays $EROEI_{el}$ and $R$ in `eroei_el_cf` and `R_cf`, and multidimensional arrays `eroei_ccs`, `eroei_ccs_min`, `eroei_ccs_max`, holdig the actual values, the _minimums_ and the _maximums_ for $EROEI_{CCS}$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "def eroei_ccs_cycler(names, eroei_fuels, t0s, CF, CR_ratio, fop, fcap, verbose=False):\n",
    "    eroei_ccs=np.zeros([len(names),len(CF),len(CR_ratio),len(fop),len(fcap)])\n",
    "    eroei_ccs_min=np.zeros([len(names),len(CF),len(CR_ratio)])+1000\n",
    "    eroei_ccs_max=np.zeros([len(names),len(CF),len(CR_ratio)])\n",
    "    eroei_el_cf=np.zeros([len(names),len(CF)])\n",
    "    R_cf=np.zeros([len(names),len(CF)])\n",
    "    for i in range(len(names)):\n",
    "        if verbose: print('Calculating '+names[i].replace('\\n',' ')+'...')\n",
    "        for j in range(len(CF)):\n",
    "            eroei_r=eroei_r_getter(CF[j],eroei_fuels[i],eroei_fuels[i])[fuel_name_converter(names[i])]\n",
    "            #convert fuel EROEI to EROEI_el using the CF converstion table\n",
    "            eroei_el_cf[i][j]=eroei_r.loc['EROEI_el']\n",
    "            #calculate R using the CF converstion table\n",
    "            R_cf[i][j]=eroei_r.loc['R']\n",
    "            for r in range(len(CR_ratio)):\n",
    "                for k in range(len(fop)):\n",
    "                    for l in range(len(fcap)):\n",
    "                        #calculate eoris over maps using eq_S6\n",
    "                        eroei_ccs[i][j][r][l,k]=(1-fop[k]*CR_ratio[r]/100.0)*\\\n",
    "                            ((R_cf[i][j]+1)/(R_cf[i][j]+1+fcap[l]/100.0))*\\\n",
    "                            eroei_el_cf[i][j]\n",
    "\n",
    "                        #calculate min-maxes\n",
    "                        for t0x in range(len(t0s[i])//2):\n",
    "                            for t0y in range(len(t0s[i])//2,len(t0s[i])):\n",
    "                                x=t0s[i][t0x]\n",
    "                                y=t0s[i][t0y]\n",
    "                                if ((abs(fop[k]-x)<0.5)and(abs(fcap[l]-y)<1.5)):\n",
    "                                    eroei_ccs_max[i][j][r]=max(eroei_ccs_max[i][j][r],eroei_ccs[i][j][r][l,k])\n",
    "                                    eroei_ccs_min[i][j][r]=min(eroei_ccs_min[i][j][r],eroei_ccs[i][j][r][l,k])\n",
    "                if verbose:\n",
    "                    print('CF='+str(CF[j])+', CR='+str(CR[r])+\\\n",
    "                      ', EROEI_fuel='+str(eroei_fuels[i])+\\\n",
    "                      ', EROEI_el_CF_'+str(CF[j])+'%='+str(np.round(eroei_el_cf[i][j],2))+\\\n",
    "                      ', R_CF_'+str(CF[j])+'%='+str(np.round(R_cf[i][j],2))+\\\n",
    "                      ', EROEI_CCS - min='+str(np.round(eroei_ccs_min[i][j][r],2))+\\\n",
    "                      ', max='+str(np.round(eroei_ccs_max[i][j][r],2)))\n",
    "    return eroei_el_cf, R_cf, eroei_ccs, eroei_ccs_min, eroei_ccs_max"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Having set up the `eroei_ccs_cycler` function, we define our desired simulation ranges and run it. We also display _min_ and _max_ values for the $EROEI_{CCS}$. These are the _bottom left_ and _top right_ corners of the rectangles in _Figure 2_."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Calculating NGCC Gas...\n",
      "CF=55, CR=90, EROEI_fuel=87, EROEI_el_CF_55%=26.97, R_CF_55%=1.69, EROEI_CCS - min=15.23, max=19.67\n",
      "CF=55, CR=60, EROEI_fuel=87, EROEI_el_CF_55%=26.97, R_CF_55%=1.69, EROEI_CCS - min=16.54, max=20.56\n",
      "CF=85, CR=90, EROEI_fuel=87, EROEI_el_CF_85%=31.05, R_CF_85%=2.61, EROEI_CCS - min=18.95, max=23.69\n",
      "CF=85, CR=60, EROEI_fuel=87, EROEI_el_CF_85%=31.05, R_CF_85%=2.61, EROEI_CCS - min=20.57, max=24.76\n",
      "Calculating Pulverized Coal...\n",
      "CF=55, CR=90, EROEI_fuel=58, EROEI_el_CF_55%=11.36, R_CF_55%=1.2, EROEI_CCS - min=5.45, max=7.87\n",
      "CF=55, CR=60, EROEI_fuel=58, EROEI_el_CF_55%=11.36, R_CF_55%=1.2, EROEI_CCS - min=6.29, max=8.41\n",
      "CF=85, CR=90, EROEI_fuel=58, EROEI_el_CF_85%=13.54, R_CF_85%=1.85, EROEI_CCS - min=6.98, max=9.76\n",
      "CF=85, CR=60, EROEI_fuel=58, EROEI_el_CF_85%=13.54, R_CF_85%=1.85, EROEI_CCS - min=8.05, max=10.42\n",
      "Calculating IGCC Coal...\n",
      "CF=55, CR=90, EROEI_fuel=58, EROEI_el_CF_55%=9.37, R_CF_55%=0.91, EROEI_CCS - min=5.52, max=7.17\n",
      "CF=55, CR=60, EROEI_fuel=58, EROEI_el_CF_55%=9.37, R_CF_55%=0.91, EROEI_CCS - min=6.26, max=7.58\n",
      "CF=85, CR=90, EROEI_fuel=58, EROEI_el_CF_85%=11.49, R_CF_85%=1.41, EROEI_CCS - min=7.03, max=8.99\n",
      "CF=85, CR=60, EROEI_fuel=58, EROEI_el_CF_85%=11.49, R_CF_85%=1.41, EROEI_CCS - min=7.98, max=9.51\n"
     ]
    }
   ],
   "source": [
    "#Simulation options\n",
    "fop=np.linspace(5,40,100) #in %\n",
    "fcap=np.linspace(10,120,100) #in %\n",
    "CF=[55,85] #in %\n",
    "title=u'$EROEI_{CCS}$ comparison for Coal and Gas'\n",
    "#eroei_els=[30,13,13] #deprecated, varies by name\n",
    "#eroei_els=[32.4,14.3,12.25] #deprecated, 100% CF value from the CF converstion table\n",
    "eroei_fuels=[87,58,58]\n",
    "names=['NGCC\\nGas','Pulverized\\nCoal','IGCC\\nCoal'] \n",
    "names_=['NGCC Gas','Pulverized Coal','IGCC Coal'] \n",
    "t0s=[[12,20,58,110],[17,31,45,95],[15,28,23,40]]  # [fop min, fop max, fcap min fcap max] by each name, in %\n",
    "\n",
    "eroei_el_cf, R_cf, eroei_ccs, eroei_ccs_min, eroei_ccs_max=eroei_ccs_cycler(names, eroei_fuels, t0s, CF, CR_ratio, fop, fcap, verbose=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generate _Figure 2_. This is a 2 by 2 multiplot, with each sub-plot being a _filled contour area_ plot, sometimes also referred to as a _colormap_ or _shaded area plot_. Here we have plotted the 4-dimensional variable $EROEI_{CCS}$ in the following manner:\n",
    "- Columns represent different fossil fuels - with their corresponding $EROEI_{fuel}, EROEI_{el}, R$ values.\n",
    "- Rows represent different _Capacity Factor_ $CF$ values.\n",
    "- The $x$ and $y$ axes represent ample variation ranges for $f_{op}$ and $f_{cap}$, respectively.\n",
    "- We have indicated with a solid rectangle in each sub-plot the reasonable ranges for $f_{op}$ and $f_{cap}$. We have repeated this for an additional _Capture Ratio_ $CR$ value, using a dashed rectangle.\n",
    "- The $EROEI_{CCS}$ values are represented by shaded contours. The levels of the contours are indicated in the attached colorbars, per each fossil fuel type (so each column has its own colorbar)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting options\n",
    "fig,axes=plt.subplots(2,2,figsize=(10,8))\n",
    "plt.subplots_adjust(hspace=0.1)\n",
    "plt.subplots_adjust(wspace=0.25)\n",
    "\n",
    "eroei_ccs_scale_min2=1.2\n",
    "eroei_ccs_scale_max2=2.3\n",
    "ls=['-','--']\n",
    "ls0='-'\n",
    "lw0=0.5\n",
    "t_x_offset=[6.5,12.5,6]\n",
    "t_y_offset=[47,45,14]\n",
    "breaker=['\\n','\\n','\\n']\n",
    "manual_locations=[[[(12,20),(20,20),(30,21),(35,20),(35,60)],\\\n",
    "                  [(7,70),(32,20),(35,60)]],\\\n",
    "                  [[(15,20),(23,19),(30,21),(35,20),(35,60)],\\\n",
    "                  [(7,70),(35,30),(35,70)]]]\n",
    "levelsi=[[np.arange(11,24,1),np.arange(4,10.5,0.5)],[np.arange(14,27,1),np.arange(6,12.5,0.5)]]\n",
    "for i in range(len(axes)):\n",
    "    for j in range(len(axes[i])):\n",
    "        eroei_el=eroei_el_cf[j][i]\n",
    "        ax=axes[i][j]\n",
    "        X, Y = np.meshgrid(fop, fcap)\n",
    "        z = eroei_ccs[j][i][0]#*100.0/eroei_el #third index is CR, keep at 0, its relative\n",
    "        levels = levelsi[i][j]\n",
    "        cmap = plt.get_cmap('coolwarm_r')\n",
    "        im = ax.contourf(X, Y, z, cmap=cmap, levels=levels,extend='both')\n",
    "        im2 = ax.contour(X, Y, z, levels=levels,extend='both',colors='k',linewidths=0.4)\n",
    "        ax.clabel(im2, fmt = '%.i',inline=1, fontsize=11, manual=manual_locations[i][j])\n",
    "        ax.set_xlim((fop.min(),fop.max()))\n",
    "        ax.set_ylim((fcap.min(),fcap.max()))\n",
    "        \n",
    "        #fig.subplots_adjust(right=0.9)\n",
    "        cbar_ax = fig.add_axes([0.48+0.43*j, 0.12+0.395*(1-i), 0.015, 0.365])\n",
    "        fig.colorbar(im, cax=cbar_ax)\n",
    "        if j==1: cbar_ax.set_ylabel(u'$EROEI_{CCS}$',fontsize=14,labelpad=10)\n",
    "\n",
    "        for m in range(len(CR_ratio)):\n",
    "            n=0\n",
    "            for ti in range(len(t0s)):\n",
    "                if (((j==1)and(ti==2))or(ti==j)):\n",
    "                    t0=t0s[ti]\n",
    "                    t=[t0[0]*CR_ratio[m],t0[1]*CR_ratio[m],t0[2]+n,t0[3]+n]\n",
    "                    rect = patches.Rectangle((t[0],t[2]),t[1]-t[0],t[3]-t[2],ls=ls[m],\n",
    "                                             edgecolor='k',facecolor='none')\n",
    "                    ax.add_patch(rect)\n",
    "                    '''\n",
    "                    if m==1:\n",
    "                        ax.text(t[0]+2,t[3]-14,'CR\\n'+str(CR[m]),horizontalalignment='center')\n",
    "                    else:\n",
    "                        ax.text(t[0]+t_x_offset[ti],t[3]-t_y_offset[ti],'CR'+breaker[ti]+str(CR[m]),\n",
    "                                horizontalalignment='center')\n",
    "                    '''\n",
    "                    if m==0: \n",
    "                        ax.text(t[1]-0.5,t[3]-15,names[ti],horizontalalignment='right',weight='bold')\n",
    "                    if (ti==1)and(m==1):\n",
    "                        line = lines.Line2D((t0[0],t[1]),((t0[2]+t0[3])/2,(t[2]+t[3])/2),color='k',\n",
    "                                            linewidth=lw0,ls=ls0)\n",
    "                        #ax.add_line(line)  \n",
    "\n",
    "        '''\n",
    "        if j==0:\n",
    "            ax.set_title(names[0].replace('\\n',' ')+' - $EROEI_{el}='+\\\n",
    "                     str(round(eroei_el_cf[0][i],1))+\\\n",
    "                         u'$\\nCapacity factor $CF='+str(CF[i])+'$%')\n",
    "        else:\n",
    "            ax.set_title(names[1].replace('\\n',' ')+' - $EROEI_{el}='+\\\n",
    "                     str(round(eroei_el_cf[1][i],1))+'$\\n'+\\\n",
    "                         names[2].replace('\\n',' ')+' - $EROEI_{el}='+\\\n",
    "                     str(round(eroei_el_cf[2][i],1))+\\\n",
    "                         u'$\\nCapacity factor $CF='+str(CF[i])+'$%')\n",
    "        '''\n",
    "        ax.text(0.93, 0.95, string.ascii_lowercase[j*len(axes)+i],\n",
    "            horizontalalignment='left',\n",
    "            verticalalignment='top',\n",
    "            transform=ax.transAxes,size=13,alpha=0.7,\n",
    "                          bbox=dict(boxstyle=\"round\", fc=\"w\", alpha=0.7))\n",
    "            \n",
    "axes[1][1].set_xlabel('Operational energy penalty $f_{op}$  (%)',fontsize=13,x=0)\n",
    "axes[0][0].set_ylabel('Capital energy penalty $f_{cap}$  (%)',fontsize=13,y=0)        \n",
    "axes[0][1].set_yticklabels('')   \n",
    "axes[1][1].set_yticklabels('')   \n",
    "axes[0][0].set_xticklabels('')   \n",
    "axes[0][1].set_xticklabels('')  \n",
    "#plt.suptitle(title+'\\nframes represent different capture ratios CR (%)',fontsize=13,y=1.04)\n",
    "plt.savefig('plot/png/fig2.png',dpi=300,bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.savefig('plot/eps/fig2.eps',format='eps',bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.savefig('plot/pdf/fig2.pdf',format='pdf',bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dispatchable Renewables Part"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Equations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$ESOI = \\frac{D \\eta \\lambda}{\\epsilon}$$"
      ],
      "text/plain": [
       "       D⋅η⋅λ\n",
       "ESOI = ─────\n",
       "         ε  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l=Symbol('lambda')\n",
    "epse=Symbol('epsilon')\n",
    "var('ESOI D');\n",
    "eq_S7=Eq(ESOI,l*e*D/epse)\n",
    "eq_S7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$$ESOI = \\frac{C D \\eta \\lambda}{C \\epsilon_{s} + P \\epsilon_{p}}$$"
      ],
      "text/plain": [
       "         C⋅D⋅η⋅λ  \n",
       "ESOI = ───────────\n",
       "       C⋅εₛ + P⋅εₚ"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "epsp=Symbol('epsilon_p')\n",
    "epss=Symbol('epsilon_s')\n",
    "var('D P C');\n",
    "eq_S8=Eq(ESOI,C*l*e*D/(P*epsp+C*epss))\n",
    "eq_S8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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c8M+KY71a1lxxILU8iw6Mj9qrA3lpt3B1pjUVx3uxrLnjQGp5Fh0YH9WLtbQilTV3HEgtz6ID46N6sZY2keKU1cwyNAc4rIXzF6A55WvQ8J190shUm1wCfLCF8/NUVjOztrgD2LbTmbB4HpBv1t0GoyB6A1pQxMzMzMzMzMzMzMzMzMzMzMze8H9Yqoqf29biFQAAAABJRU5ErkJggg==\n",
      "text/latex": [
       "$$EROEI_{disp} = \\frac{- E_{out} c + E_{out} - \\left(- \\eta + 1\\right) \\sum_{j=1}^{J} E_{out} \\varphi_{j}}{\\sum_{i=1}^{I} E_{in_i} + \\sum_{j=1}^{J} E_{in_j}}$$"
      ],
      "text/plain": [
       "                                         J                \n",
       "                                        ___               \n",
       "                                        ╲                 \n",
       "                                         ╲   Eₒᵤₜ⋅varphi_j\n",
       "             -Eₒᵤₜ⋅c + Eₒᵤₜ - (-η + 1)⋅  ╱                \n",
       "                                        ╱                 \n",
       "                                        ‾‾‾               \n",
       "                                       j = 1              \n",
       "EROEI_disp = ─────────────────────────────────────────────\n",
       "                      I                J                  \n",
       "                     ___              ___                 \n",
       "                     ╲                ╲                   \n",
       "                      ╲   E_{in_i}     ╲   E_{in_j}       \n",
       "                      ╱            +   ╱                  \n",
       "                     ╱                ╱                   \n",
       "                     ‾‾‾              ‾‾‾                 \n",
       "                    i = 1            j = 1                "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f=Symbol('varphi_j')\n",
    "Ei=Symbol('E_{in_i}')\n",
    "Ej=Symbol('E_{in_j}')\n",
    "var('EROEI_disp c j i I J');\n",
    "eq_S9=Eq(EROEI_disp,(E_out-(1-e)*Sum(f*E_out,(j,1,J))-c*E_out)/(Sum(Ei,(i,1,I))+Sum(Ej,(j,1,J))))\n",
    "eq_S9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/latex": [
       "$$EROEI_{disp} = \\frac{E_{out} \\left(- c - \\left(- \\eta + 1\\right) \\sum_{j=1}^{J} \\varphi_{j} + 1\\right)}{\\sum_{i=1}^{I} \\frac{E_{out} \\alpha_{i}}{EROEI_{i}} + \\sum_{j=1}^{J} \\frac{E_{out} \\eta_{j} \\varphi_{j}}{ESOI_{j} u_{j}}}$$"
      ],
      "text/plain": [
       "                  ⎛                J               ⎞\n",
       "                  ⎜               ___              ⎟\n",
       "                  ⎜               ╲                ⎟\n",
       "                  ⎜                ╲   varphi_j    ⎟\n",
       "             Eₒᵤₜ⋅⎜-c - (-η + 1)⋅  ╱            + 1⎟\n",
       "                  ⎜               ╱                ⎟\n",
       "                  ⎜               ‾‾‾              ⎟\n",
       "                  ⎝              j = 1             ⎠\n",
       "EROEI_disp = ───────────────────────────────────────\n",
       "               I               J                    \n",
       "              ____            ____                  \n",
       "              ╲               ╲                     \n",
       "               ╲   Eₒᵤₜ⋅αᵢ     ╲   Eₒᵤₜ⋅η_j⋅varphi_j\n",
       "                ╲  ───────      ╲  ─────────────────\n",
       "                ╱   EROEIᵢ +    ╱      ESOI_j⋅u_j   \n",
       "               ╱               ╱                    \n",
       "              ╱               ╱                     \n",
       "              ‾‾‾‾            ‾‾‾‾                  \n",
       "             i = 1           j = 1                  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=Symbol('alpha_i')\n",
    "ej=Symbol('eta_j')\n",
    "f=Symbol('varphi_j')\n",
    "Ei=Symbol('E_{in_i}')\n",
    "Ej=Symbol('E_{in_j}')\n",
    "var('EROEI_i u_j ESOI_j');\n",
    "eq_S10=Eq(EROEI_disp,(E_out*(1-(1-e)*Sum(f,(j,1,J))-c))/(Sum(E_out*a/EROEI_i,(i,1,I))+Sum((E_out*f*ej)/(ESOI_j*u_j),(j,1,J))))\n",
    "eq_S10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/latex": [
       "$$EROEI_{disp} = \\frac{- c - \\left(- \\eta + 1\\right) \\sum_{j=1}^{J} \\varphi_{j} + 1}{\\sum_{i=1}^{I} \\frac{\\alpha_{i}}{EROEI_{i}} + \\sum_{j=1}^{J} \\frac{\\eta_{j} \\varphi_{j}}{ESOI_{j} u_{j}}}$$"
      ],
      "text/plain": [
       "                              J               \n",
       "                             ___              \n",
       "                             ╲                \n",
       "                              ╲   varphi_j    \n",
       "              -c - (-η + 1)⋅  ╱            + 1\n",
       "                             ╱                \n",
       "                             ‾‾‾              \n",
       "                            j = 1             \n",
       "EROEI_disp = ─────────────────────────────────\n",
       "               I              J               \n",
       "              ____           ____             \n",
       "              ╲              ╲                \n",
       "               ╲     αᵢ       ╲   η_j⋅varphi_j\n",
       "                ╲  ──────      ╲  ────────────\n",
       "                ╱  EROEIᵢ +    ╱   ESOI_j⋅u_j \n",
       "               ╱              ╱               \n",
       "              ╱              ╱                \n",
       "              ‾‾‾‾           ‾‾‾‾             \n",
       "             i = 1          j = 1             "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eq_S11=Eq(EROEI_disp,((1-(1-e)*Sum(f,(j,1,J))-c))/(Sum(a/EROEI_i,(i,1,I))+Sum((f*ej)/(ESOI_j*u_j),(j,1,J))))\n",
    "eq_S11"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Simulation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define $EROEI_{disp}$ calcuator function `eroei_disp_cycler`, including minimums and maximums over _Storage fraction_ $\\varphi$. It takes as inputs:\n",
    "- an array `ESOI`, of length how many storage scenarios we are considering, holding $ESOI$ values for each\n",
    "- an array `phi`, of arbitrary length, with values between $0$ and $1$, corresponding to the simulated storage fraction levels\n",
    "- an array `eta`, holding the _Roundtrip efficiency_ for each storage scenario\n",
    "- an array `c`, holding the _Curtailment_ for each storage scenario\n",
    "- an array `eroei_el`, of arbitrary length, with values between $1$ and $100$, corresponding to the $EROEI_{el}$ levels\n",
    "\n",
    "Return one multidimensional array `eroei_disp`, corresponding to the _Dispatchable Scalable Renewable EROEI_ $EROEI_{disp}$ for each parameter combination."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "def eroei_disp_cycler(ESOI, phi, eta, c, eroei_el):\n",
    "    #eroei_disp=np.zeros([len(ESOI),len(phi),len(eroei_el)])\n",
    "    eroei_disp=np.zeros([len(ESOI),len(eroei_el),len(phi)])\n",
    "    for i in range(len(ESOI)):\n",
    "        for j in range(len(phi)):\n",
    "            for k in range(len(eroei_el)):\n",
    "                #eq_S11\n",
    "                #Also Eq. 6 from http://pubs.rsc.org/en/content/articlepdf/2013/ee/c3ee41973h\n",
    "                eroei_disp[i][k,j]=(-c[i]-(+1-eta[i])*phi[j]+1)/\\\n",
    "                                    ((1.0/eroei_el[k])+(eta[i]*phi[j]/ESOI[i]))    \n",
    "    return eroei_disp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generate _Figure 3_. This is a 2 by 2 multiplot, with each sub-plot being a _filled contour area_ plot, sometimes also referred to as a _colormap_ or _shaded area plot_. Here we have plotted the 4-dimensional variable $EROEI_{disp}$ in the following manner:\n",
    "- Sub-plots represent storage scenarios, each with their proper _Energy Stored on Energy Invested_ $ESOI$ values and _Roundtrip efficiencies_ $\\eta$. The bottom left case also includes _Curtailment_ $k$, in all other cases $k=0$.\n",
    "- The $x$ and $y$ axes represent ample variation ranges for  _Storage fraction_ $\\varphi$ and $EROEI_{el}$, respectively.\n",
    "- The $EROEI_{disp}$ values are represented by shaded contours. The levels of the contours are indicated in the attached colorbar."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "segments=800\n",
    "eroei_el=np.linspace(10,60,segments)\n",
    "phi=np.linspace(0,35,segments)\n",
    "ESOI=[11,24,11,249]\n",
    "ESOI_tech=['Battery storage','Hydrogen storage','Battery + Curtailment','Pumped hydro storage']\n",
    "eta=np.array([83,30,83,80])\n",
    "c=[0,0,0.07,0]\n",
    "\n",
    "eroei_disp=eroei_disp_cycler(ESOI, phi/100.0, eta/100.0, c, eroei_el)\n",
    "\n",
    "fig,axes=plt.subplots(2,2,figsize=(10,8))\n",
    "plt.subplots_adjust(wspace=0.1)\n",
    "plt.subplots_adjust(hspace=0.15)\n",
    "contour_min=10\n",
    "contour_max=60\n",
    "levels = MaxNLocator(nbins=10).tick_values(contour_min, contour_max)\n",
    "manual_locations=[[(30,10),(7,20),(7,34),(7,50),(3,55)],\\\n",
    "                          [(30,10),(7,20),(7,30),(7,45),(7,55)],\\\n",
    "                          [(30,10),(7,25),(7,42),(7,55)],\\\n",
    "                          [(7,20),(7,30),(7,40),(7,50)]]\n",
    "for i in range(len(ESOI)):\n",
    "        ax=axes[i//2][i%2]\n",
    "        z = eroei_disp[i]\n",
    "        cmap = plt.get_cmap('coolwarm_r')\n",
    "        X, Y = np.meshgrid(phi, eroei_el)\n",
    "        im = ax.contourf(X, Y, z, cmap=cmap, levels=levels,extend='both')\n",
    "        im2 = ax.contour(X, Y, z, levels=levels,extend='both',colors='k',linewidths=0.4)    \n",
    "        ax.clabel(im2, fmt = '%i',inline=1, fontsize=11, manual=manual_locations[i])\n",
    "        if (i==0):\n",
    "            fig.subplots_adjust(right=0.9)\n",
    "            cbar_ax = fig.add_axes([0.93, 0.12, 0.015, 0.77])\n",
    "            fig.colorbar(im, cax=cbar_ax)\n",
    "            cbar_ax.set_ylabel(u'$EROEI_{disp}$',fontsize=13,labelpad=10)\n",
    "        ax.set_xlim((phi.min(),phi.max()))\n",
    "        ax.set_ylim((eroei_el.min(),eroei_el.max()))\n",
    "        ax.set_title(ESOI_tech[i],fontsize=13)\n",
    "        ax.text(0.93, 0.95, string.ascii_lowercase[(i%2)*2+i//2],\n",
    "                horizontalalignment='left',\n",
    "                verticalalignment='top',\n",
    "                transform=ax.transAxes,size=13,alpha=0.7,\n",
    "                              bbox=dict(boxstyle=\"round\", fc=\"w\", alpha=0.7))\n",
    "            \n",
    "axes[1][1].set_xlabel('Storage fraction $\\\\varphi$ (%)',fontsize=13,x=0)\n",
    "axes[0][0].set_ylabel('$EROEI_{el}$',fontsize=13,y=0)        \n",
    "axes[0][1].set_yticklabels('')   \n",
    "axes[1][1].set_yticklabels('')   \n",
    "axes[0][0].set_xticklabels('')   \n",
    "axes[0][1].set_xticklabels('')  \n",
    "#plt.suptitle(r'$EROEI_{disp}$ for Scalable Dispatchable Renewables - PV and Wind',fontsize=13,y=0.98)\n",
    "plt.savefig('plot/png/fig3.png',dpi=150,bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.savefig('plot/eps/fig3.eps',format='eps',bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.savefig('plot/pdf/fig3.pdf',format='pdf',bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Sensitivity analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section we conduct a comparative sensitivity analysis over a range of parameters presented in the _Fossils_ and _Renewables_ sections, in order to be able to represent $EROEI_{CCS}$ and $EROEI_{disp}$ in one common axis, for a range of $EROEI_{el}$ values. In essence this means replicating the rectangles of _Figure 2._ subplots and taking their _minimum_ and _maximum_ ranges, over many starting $EROEI_{fuel}$ - and thus varying $EROEI_{el}$ and $R$ - values, to result in trapezoids. This is then compared with the 4 energy storage cases presented in _Figure 3._, with separate $EROEI_{el}$ range assumptions for _Wind_ and _PV_."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we define a convex hull function to get outermost points of trapezoids in the sensitivity analysis area."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.spatial import ConvexHull"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "def convexhull(p):\n",
    "    p = np.array(p)\n",
    "    hull = ConvexHull(p)\n",
    "    return p[hull.vertices,:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define wieldy color functions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cbrew(i):\n",
    "    colors=['#984ea3',\n",
    "            '#e41a1c',\n",
    "            '#377eb8',\n",
    "            '#018571',\n",
    "            '#e66101']\n",
    "    return colors[i]\n",
    "def cbrew2(i):\n",
    "    colors=['#984ea3',\n",
    "            '#e41a1c',\n",
    "            '#377eb8',\n",
    "            '#4daf4a',\n",
    "            '#ff7f00']\n",
    "    return colors[i]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is main sensitivity analysis calculation. We calculate envelopes over a range of parameters for _Fossils_ and _Renewables_."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Fossils_ parameters:\n",
    "- $EROEI_{fuel}$ varies over $20-87$ for _Gas_ and $23-58$ for _Coal_, using $800$ steps in between. This is stored in the variable `eroei_el_ns` with the number of steps indicated in `segments`.\n",
    "- The other parameters have been already defined in the generation of _Figure 2._ We re-utilize their variation ranges here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculating NGCC Gas area...\n",
      "calculating Pulverized Coal area...\n",
      "calculating IGCC Coal area...\n"
     ]
    }
   ],
   "source": [
    "#Fossil part\n",
    "segments=800\n",
    "eroei_el_ns=[np.linspace(20,87,segments),np.linspace(23,58,segments),np.linspace(23,58,segments)]   \n",
    "eroei_el_cf_N, eroei_ccs_N, eroei_ccs_min_N, eroei_ccs_max_N=[],[],[],[]\n",
    "for i in range(len(names)):\n",
    "    print('calculating '+names[i].replace('\\n',' ')+' area...')\n",
    "    eroei_el_cf_n, eroei_ccs_n, eroei_ccs_min_n, eroei_ccs_max_n=[],[],[],[]\n",
    "    for eroi in range(len(eroei_el_ns[i])):\n",
    "        eroei_el_cf, R_cf, eroei_ccs, eroei_ccs_min, eroei_ccs_max=\\\n",
    "                eroei_ccs_cycler([names[i]], [eroei_el_ns[i][eroi]], [t0s[i]], CF, CR_ratio, fop, fcap)\n",
    "        eroei_el_cf_n.append(eroei_el_cf)\n",
    "        eroei_ccs_n.append(eroei_ccs)\n",
    "        eroei_ccs_min_n.append(eroei_ccs_min)\n",
    "        eroei_ccs_max_n.append(eroei_ccs_max)\n",
    "    eroei_el_cf_N.append(eroei_el_cf_n)\n",
    "    eroei_ccs_N.append(eroei_ccs_n)\n",
    "    eroei_ccs_min_N.append(eroei_ccs_min_n)\n",
    "    eroei_ccs_max_N.append(eroei_ccs_max_n)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_OPTIONAL_. Save generated data for easier loading later. No need to run these two cells if you have run the previous cell. GitHub does not hold large files, so you would have to generate your own data by running the sensitivity cell as least once."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#optional SAVE\n",
    "np.save('eroei_el_cf_N',eroei_el_cf_N)\n",
    "np.save('eroei_ccs_N',eroei_ccs_N)\n",
    "np.save('eroei_ccs_min_N',eroei_ccs_min_N)\n",
    "np.save('eroei_ccs_max_N',eroei_ccs_max_N)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "#optional LOAD\n",
    "eroei_el_cf_N=np.load('eroei_el_cf_N.npz')\n",
    "eroei_ccs_N=np.load('eroei_ccs_N.npz')\n",
    "eroei_ccs_min_N=np.load('eroei_ccs_min_N.npz')\n",
    "eroei_ccs_max_N=np.load('eroei_ccs_max_N.npz')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Renewables_ parameters:\n",
    "- $EROEI_{el}$ varies over $9-30$ for _PV_ and $20-40$ for _Wind_, using `segments` number of steps (set to $800$ in the _Fossils_ cell. This is stored in `eroei_el_ren`.\n",
    "- Higher resolution areas for _PV_ between $9-17$ for moderate insolation and $12-23$ for high insolation systems. We also indicate a future expected range of $20-40$ by the year 2022.\n",
    "- Both current and future feasible wind $EROEI_{el}$ range is defined as $20-40$.\n",
    "- We also indicate a likely future $EROEI_{disp}$ example for the European electricity grid, using a mix of _PV_ and _Wind_ technologies, with shares $0.33$ and $0.67$, respectively, corresponding $EROEI_{el}$s of $18$ and $35$, and a resulting composite $EROEI_{disp}$ of $21.9$.\n",
    "- We re-utilize the energy storage cases and their respective parameters $ESOI, \\eta, k, \\varphi$ from _Figure 3._"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculating PV area...\n",
      "calculating Wind area...\n"
     ]
    }
   ],
   "source": [
    "#RE part\n",
    "eroei_el_ren=[np.linspace(9,30,segments),np.linspace(20,40,segments)]\n",
    "eroei_el_pv=[[9,17],[12,23],[20,40]] #current medium and high PV EROEI_el ranges, future 2022 range\n",
    "eroei_el_wind=[20,40] #current medium and high PV EROEI_el ranges, future 2022 range\n",
    "eroei_el_eu=[[18,35],[0.33,0.67],21.9] #Table S3, current EU solar PV and wind EROEI_el, shares and resulting EROEI_disp\n",
    "eroei_ren_names=['PV','Wind']\n",
    "eroei_disp_n=[]\n",
    "for i in range(len(eroei_ren_names)):\n",
    "    print('calculating '+eroei_ren_names[i]+' area...')\n",
    "    eroei_disp=eroei_disp_cycler(ESOI, phi/100.0, eta/100.0, c, eroei_el_ren[i])\n",
    "    eroei_disp_n.append(eroei_disp)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [],
   "source": [
    "#optional SAVE\n",
    "np.save('eroei_disp_n',eroei_disp_n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#optional LOAD\n",
    "eroei_disp_n=np.load('eroei_disp_n.npz')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We convert the sensitivity analysis mutlidimensional arrays into points on the canvas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculating PV points...\n",
      "calculating Wind points...\n",
      "calculating NGCC Gas points...\n",
      "calculating Pulverized Coal points...\n",
      "calculating IGCC Coal points...\n"
     ]
    }
   ],
   "source": [
    "#Calculate points for convex hull\n",
    "all_points={}\n",
    "\n",
    "#Renewables\n",
    "for i in range(len(eroei_disp_n)):\n",
    "    print('calculating '+eroei_ren_names[i]+' points...')\n",
    "    if eroei_ren_names[i] not in all_points:all_points[eroei_ren_names[i]]=[[] for ii in range(len(eroei_disp_n[i]))]\n",
    "    for j in range(len(eroei_disp_n[i])):\n",
    "        for eroi in range(len(eroei_disp_n[i][j])):\n",
    "            x0=eroei_el_ren[i][eroi]\n",
    "            y0min=min(eroei_disp_n[i][j][eroi].flatten())\n",
    "            y0max=max(eroei_disp_n[i][j][eroi].flatten())\n",
    "            all_points[eroei_ren_names[i]][j].append([x0,y0min])\n",
    "            all_points[eroei_ren_names[i]][j].append([x0,y0max])\n",
    "\n",
    "#Fossil part\n",
    "for i in range(len(names)):\n",
    "    print('calculating '+names[i].replace('\\n',' ')+' points...')\n",
    "    if names[i] not in all_points:all_points[names[i]]=[]\n",
    "    for eroi in range(len(eroei_el_ns[i])):\n",
    "        for j in range(len(CF)):\n",
    "            x0=eroei_el_cf_N[i][eroi][0][j]\n",
    "            y0min=min(eroei_ccs_min_N[i][eroi][0][j])\n",
    "            y0max=max(eroei_ccs_max_N[i][eroi][0][j])\n",
    "            all_points[names[i]].append([x0,y0min])\n",
    "            all_points[names[i]].append([x0,y0max])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Intersections"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define a simple function for finding nearest values in an array, in order to be able to identify intersections between _Fossil_ $EROEI_{CCS}$ and _Renewable_ $EROEI_{disp}$ cases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_nearest(array, value):\n",
    "    array = np.asarray(array)\n",
    "    idx = (np.abs(array - value)).argmin()\n",
    "    return idx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We define the $EROEI_{fuel}$ values, for each _Fossil fuel_ source to calculate the intersections for. We reasonably use a _Capacity Factor_ of $CF=85$% and a _Capture Ratio_ of $CR=90$%. For the _EROEI_ we select the highest value and the mid-point of the defined sensitvity range, for each fuel. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once this is done, we cycle through all _Fossil-Renewable_ combinations and take note of the matching $(EROEI_{el},\\varphi)$ combinations, for all cases when $EROEI_{CCS}=EROEI_{disp}$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\csala\\AppData\\Local\\Continuum\\anaconda2\\envs\\python3\\lib\\site-packages\\ipykernel_launcher.py:52: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    }
   ],
   "source": [
    "eroei_ids=[-1,segments//2] #Fossil EROEI range IDs to calculate intersections for. Default: LAST and MID\n",
    "eroei_ida=['high','mid'] #corresponding scenario names\n",
    "CF_id=1 #85%\n",
    "CR_id=0 #90%      \n",
    "all_intersections=[]\n",
    "for eroei_idi in range(len(eroei_ids)):\n",
    "    eroei_id=eroei_ids[eroei_idi]\n",
    "    case_id=eroei_ida[eroei_idi]\n",
    "    for name_id in range(len(names)):\n",
    "        name=names[name_id].replace('\\n',' ')\n",
    "        fs_x=eroei_el_cf_N[name_id][eroei_id][0][CF_id]\n",
    "        fs_y_max=eroei_ccs_max_N[name_id][eroei_id][0][CF_id][CR_id]\n",
    "        fs_y_min=eroei_ccs_min_N[name_id][eroei_id][0][CF_id][CR_id]\n",
    "        fs_y=np.round((fs_y_max+fs_y_min)/2.0,2)\n",
    "        for i in range(len(eroei_disp_n))[::-1]:\n",
    "            for j in range(len(eroei_disp_n[i])):\n",
    "                minimums=all_points[eroei_ren_names[i]][j][0::2] #bottom line on RE area plots\n",
    "                maximums=all_points[eroei_ren_names[i]][j][1::2] #top line on RE area plots    \n",
    "                intersections=[]\n",
    "                for eroi in range(len(eroei_el_ren[i])):\n",
    "                    if minimums[eroi][1]<fs_y<maximums[eroi][1]:\n",
    "                        intersections.append(eroi)\n",
    "                if len(intersections)>0:\n",
    "                    imin=min(intersections)\n",
    "                    rmin=np.round(eroei_el_ren[i][imin],1)\n",
    "                    emin=eroei_disp_n[i][j][imin]\n",
    "                    phimin=np.round(phi[find_nearest(emin,fs_y)],1)\n",
    "                    imax=max(intersections)\n",
    "                    rmax=np.round(eroei_el_ren[i][imax],1)\n",
    "                    emax=eroei_disp_n[i][j][imax]\n",
    "                    phimax=np.round(phi[find_nearest(emax,fs_y)],1)\n",
    "                else: \n",
    "                    imax=np.nan\n",
    "                    emax=np.nan\n",
    "                    rmax=np.nan\n",
    "                    phimax=np.nan\n",
    "                    \n",
    "                if phimax>34:phimax=35.0\n",
    "                if phimin<0.31:phimin=0.0\n",
    "                \n",
    "                all_intersections.append([case_id,name,eroei_ren_names[i],ESOI_tech[j],\n",
    "                    np.round(eroei_el_ns[name_id][eroei_id],1),np.round(fs_x,1),np.round(fs_y,1),\n",
    "                    rmin,phimin,rmax,phimax])\n",
    "\n",
    "all_intersections=pd.DataFrame(all_intersections)\n",
    "all_intersections.columns=['EROEI case','Fossil','Renewable','Storage',\n",
    "                           'Fossil $EROEI_{fuel}$','Fossil $EROEI_{el}$','Fossil $EROEI_{CCS}$',\n",
    "                           'RE $EROEI_{el}$ min',r'$\\varphi$ min (%)',\n",
    "                           'RE $EROEI_{el}$ max',r'$\\varphi$ max (%)']\n",
    "all_intersections['Case ID']=[i+1 for i in range(len(all_intersections))]\n",
    "all_intersections2=all_intersections.dropna()\n",
    "all_intersections2['Case ID']=[i+1 for i in range(len(all_intersections2))]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We present the obtained intersections in _Table S4_, sorting by _EROEI case, Fossil fuel, Renewable type_ and _Energy storage scenario_."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Fossil $EROEI_{fuel}$</th>\n",
       "      <th>Fossil $EROEI_{el}$</th>\n",
       "      <th>Fossil $EROEI_{CCS}$</th>\n",
       "      <th>RE $EROEI_{el}$ min</th>\n",
       "      <th>$\\varphi$ min (%)</th>\n",
       "      <th>RE $EROEI_{el}$ max</th>\n",
       "      <th>$\\varphi$ max (%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EROEI case</th>\n",
       "      <th>Fossil</th>\n",
       "      <th>Renewable</th>\n",
       "      <th>Storage</th>\n",
       "      <th>Case ID</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 rowspan=\"15\" valign=\"top\">high</th>\n",
       "      <th rowspan=\"8\" valign=\"top\">NGCC Gas</th>\n",
       "      <th rowspan=\"4\" valign=\"top\">Wind</th>\n",
       "      <th>Battery storage</th>\n",
       "      <th>1</th>\n",
       "      <td>87.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>21.3</td>\n",
       "      <td>21.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>26.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydrogen storage</th>\n",
       "      <th>2</th>\n",
       "      <td>87.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>21.3</td>\n",
       "      <td>21.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32.2</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Battery + Curtailment</th>\n",
       "      <th>3</th>\n",
       "      <td>87.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>21.3</td>\n",
       "      <td>22.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>22.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pumped hydro storage</th>\n",
       "      <th>4</th>\n",
       "      <td>87.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>21.3</td>\n",
       "      <td>21.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.5</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">PV</th>\n",
       "      <th>Battery storage</th>\n",
       "      <th>5</th>\n",
       "      <td>87.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>21.3</td>\n",
       "      <td>21.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>16.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydrogen storage</th>\n",
       "      <th>6</th>\n",
       "      <td>87.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>21.3</td>\n",
       "      <td>21.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>29.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Battery + Curtailment</th>\n",
       "      <th>7</th>\n",
       "      <td>87.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>21.3</td>\n",
       "      <td>22.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>12.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pumped hydro storage</th>\n",
       "      <th>8</th>\n",
       "      <td>87.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>21.3</td>\n",
       "      <td>21.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.5</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Pulverized Coal</th>\n",
       "      <th rowspan=\"4\" valign=\"top\">PV</th>\n",
       "      <th>Battery storage</th>\n",
       "      <th>9</th>\n",
       "      <td>58.0</td>\n",
       "      <td>13.5</td>\n",
       "      <td>8.4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.7</td>\n",
       "      <td>11.6</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydrogen storage</th>\n",
       "      <th>10</th>\n",
       "      <td>58.0</td>\n",
       "      <td>13.5</td>\n",
       "      <td>8.4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.7</td>\n",
       "      <td>11.6</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Battery + Curtailment</th>\n",
       "      <th>11</th>\n",
       "      <td>58.0</td>\n",
       "      <td>13.5</td>\n",
       "      <td>8.4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>12.9</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pumped hydro storage</th>\n",
       "      <th>12</th>\n",
       "      <td>58.0</td>\n",
       "      <td>13.5</td>\n",
       "      <td>8.4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>30.8</td>\n",
       "      <td>9.1</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">IGCC Coal</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">PV</th>\n",
       "      <th>Battery storage</th>\n",
       "      <th>13</th>\n",
       "      <td>58.0</td>\n",
       "      <td>11.5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>14.2</td>\n",
       "      <td>11.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydrogen storage</th>\n",
       "      <th>14</th>\n",
       "      <td>58.0</td>\n",
       "      <td>11.5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.8</td>\n",
       "      <td>11.1</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Battery + Curtailment</th>\n",
       "      <th>15</th>\n",
       "      <td>58.0</td>\n",
       "      <td>11.5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>12.2</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"11\" valign=\"top\">mid</th>\n",
       "      <th rowspan=\"7\" valign=\"top\">NGCC Gas</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">Wind</th>\n",
       "      <th>Battery storage</th>\n",
       "      <th>16</th>\n",
       "      <td>53.5</td>\n",
       "      <td>21.4</td>\n",
       "      <td>15.6</td>\n",
       "      <td>20.0</td>\n",
       "      <td>16.5</td>\n",
       "      <td>29.4</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydrogen storage</th>\n",
       "      <th>17</th>\n",
       "      <td>53.5</td>\n",
       "      <td>21.4</td>\n",
       "      <td>15.6</td>\n",
       "      <td>20.0</td>\n",
       "      <td>24.8</td>\n",
       "      <td>22.6</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Battery + Curtailment</th>\n",
       "      <th>18</th>\n",
       "      <td>53.5</td>\n",
       "      <td>21.4</td>\n",
       "      <td>15.6</td>\n",
       "      <td>20.0</td>\n",
       "      <td>11.3</td>\n",
       "      <td>33.8</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">PV</th>\n",
       "      <th>Battery storage</th>\n",
       "      <th>19</th>\n",
       "      <td>53.5</td>\n",
       "      <td>21.4</td>\n",
       "      <td>15.6</td>\n",
       "      <td>15.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.4</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydrogen storage</th>\n",
       "      <th>20</th>\n",
       "      <td>53.5</td>\n",
       "      <td>21.4</td>\n",
       "      <td>15.6</td>\n",
       "      <td>15.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.6</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Battery + Curtailment</th>\n",
       "      <th>21</th>\n",
       "      <td>53.5</td>\n",
       "      <td>21.4</td>\n",
       "      <td>15.6</td>\n",
       "      <td>16.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>30.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pumped hydro storage</th>\n",
       "      <th>22</th>\n",
       "      <td>53.5</td>\n",
       "      <td>21.4</td>\n",
       "      <td>15.6</td>\n",
       "      <td>15.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Pulverized Coal</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PV</th>\n",
       "      <th>Hydrogen storage</th>\n",
       "      <th>23</th>\n",
       "      <td>40.5</td>\n",
       "      <td>10.6</td>\n",
       "      <td>6.8</td>\n",
       "      <td>9.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>9.4</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Battery + Curtailment</th>\n",
       "      <th>24</th>\n",
       "      <td>40.5</td>\n",
       "      <td>10.6</td>\n",
       "      <td>6.8</td>\n",
       "      <td>9.0</td>\n",
       "      <td>25.4</td>\n",
       "      <td>9.8</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">IGCC Coal</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">PV</th>\n",
       "      <th>Hydrogen storage</th>\n",
       "      <th>25</th>\n",
       "      <td>40.5</td>\n",
       "      <td>9.2</td>\n",
       "      <td>6.6</td>\n",
       "      <td>9.0</td>\n",
       "      <td>34.8</td>\n",
       "      <td>9.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Battery + Curtailment</th>\n",
       "      <th>26</th>\n",
       "      <td>40.5</td>\n",
       "      <td>9.2</td>\n",
       "      <td>6.6</td>\n",
       "      <td>9.0</td>\n",
       "      <td>30.4</td>\n",
       "      <td>9.4</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                    Fossil $EROEI_{fuel}$  \\\n",
       "EROEI case Fossil          Renewable Storage               Case ID                          \n",
       "high       NGCC Gas        Wind      Battery storage       1                         87.0   \n",
       "                                     Hydrogen storage      2                         87.0   \n",
       "                                     Battery + Curtailment 3                         87.0   \n",
       "                                     Pumped hydro storage  4                         87.0   \n",
       "                           PV        Battery storage       5                         87.0   \n",
       "                                     Hydrogen storage      6                         87.0   \n",
       "                                     Battery + Curtailment 7                         87.0   \n",
       "                                     Pumped hydro storage  8                         87.0   \n",
       "           Pulverized Coal PV        Battery storage       9                         58.0   \n",
       "                                     Hydrogen storage      10                        58.0   \n",
       "                                     Battery + Curtailment 11                        58.0   \n",
       "                                     Pumped hydro storage  12                        58.0   \n",
       "           IGCC Coal       PV        Battery storage       13                        58.0   \n",
       "                                     Hydrogen storage      14                        58.0   \n",
       "                                     Battery + Curtailment 15                        58.0   \n",
       "mid        NGCC Gas        Wind      Battery storage       16                        53.5   \n",
       "                                     Hydrogen storage      17                        53.5   \n",
       "                                     Battery + Curtailment 18                        53.5   \n",
       "                           PV        Battery storage       19                        53.5   \n",
       "                                     Hydrogen storage      20                        53.5   \n",
       "                                     Battery + Curtailment 21                        53.5   \n",
       "                                     Pumped hydro storage  22                        53.5   \n",
       "           Pulverized Coal PV        Hydrogen storage      23                        40.5   \n",
       "                                     Battery + Curtailment 24                        40.5   \n",
       "           IGCC Coal       PV        Hydrogen storage      25                        40.5   \n",
       "                                     Battery + Curtailment 26                        40.5   \n",
       "\n",
       "                                                                    Fossil $EROEI_{el}$  \\\n",
       "EROEI case Fossil          Renewable Storage               Case ID                        \n",
       "high       NGCC Gas        Wind      Battery storage       1                       31.0   \n",
       "                                     Hydrogen storage      2                       31.0   \n",
       "                                     Battery + Curtailment 3                       31.0   \n",
       "                                     Pumped hydro storage  4                       31.0   \n",
       "                           PV        Battery storage       5                       31.0   \n",
       "                                     Hydrogen storage      6                       31.0   \n",
       "                                     Battery + Curtailment 7                       31.0   \n",
       "                                     Pumped hydro storage  8                       31.0   \n",
       "           Pulverized Coal PV        Battery storage       9                       13.5   \n",
       "                                     Hydrogen storage      10                      13.5   \n",
       "                                     Battery + Curtailment 11                      13.5   \n",
       "                                     Pumped hydro storage  12                      13.5   \n",
       "           IGCC Coal       PV        Battery storage       13                      11.5   \n",
       "                                     Hydrogen storage      14                      11.5   \n",
       "                                     Battery + Curtailment 15                      11.5   \n",
       "mid        NGCC Gas        Wind      Battery storage       16                      21.4   \n",
       "                                     Hydrogen storage      17                      21.4   \n",
       "                                     Battery + Curtailment 18                      21.4   \n",
       "                           PV        Battery storage       19                      21.4   \n",
       "                                     Hydrogen storage      20                      21.4   \n",
       "                                     Battery + Curtailment 21                      21.4   \n",
       "                                     Pumped hydro storage  22                      21.4   \n",
       "           Pulverized Coal PV        Hydrogen storage      23                      10.6   \n",
       "                                     Battery + Curtailment 24                      10.6   \n",
       "           IGCC Coal       PV        Hydrogen storage      25                       9.2   \n",
       "                                     Battery + Curtailment 26                       9.2   \n",
       "\n",
       "                                                                    Fossil $EROEI_{CCS}$  \\\n",
       "EROEI case Fossil          Renewable Storage               Case ID                         \n",
       "high       NGCC Gas        Wind      Battery storage       1                        21.3   \n",
       "                                     Hydrogen storage      2                        21.3   \n",
       "                                     Battery + Curtailment 3                        21.3   \n",
       "                                     Pumped hydro storage  4                        21.3   \n",
       "                           PV        Battery storage       5                        21.3   \n",
       "                                     Hydrogen storage      6                        21.3   \n",
       "                                     Battery + Curtailment 7                        21.3   \n",
       "                                     Pumped hydro storage  8                        21.3   \n",
       "           Pulverized Coal PV        Battery storage       9                         8.4   \n",
       "                                     Hydrogen storage      10                        8.4   \n",
       "                                     Battery + Curtailment 11                        8.4   \n",
       "                                     Pumped hydro storage  12                        8.4   \n",
       "           IGCC Coal       PV        Battery storage       13                        8.0   \n",
       "                                     Hydrogen storage      14                        8.0   \n",
       "                                     Battery + Curtailment 15                        8.0   \n",
       "mid        NGCC Gas        Wind      Battery storage       16                       15.6   \n",
       "                                     Hydrogen storage      17                       15.6   \n",
       "                                     Battery + Curtailment 18                       15.6   \n",
       "                           PV        Battery storage       19                       15.6   \n",
       "                                     Hydrogen storage      20                       15.6   \n",
       "                                     Battery + Curtailment 21                       15.6   \n",
       "                                     Pumped hydro storage  22                       15.6   \n",
       "           Pulverized Coal PV        Hydrogen storage      23                        6.8   \n",
       "                                     Battery + Curtailment 24                        6.8   \n",
       "           IGCC Coal       PV        Hydrogen storage      25                        6.6   \n",
       "                                     Battery + Curtailment 26                        6.6   \n",
       "\n",
       "                                                                    RE $EROEI_{el}$ min  \\\n",
       "EROEI case Fossil          Renewable Storage               Case ID                        \n",
       "high       NGCC Gas        Wind      Battery storage       1                       21.3   \n",
       "                                     Hydrogen storage      2                       21.3   \n",
       "                                     Battery + Curtailment 3                       22.9   \n",
       "                                     Pumped hydro storage  4                       21.3   \n",
       "                           PV        Battery storage       5                       21.3   \n",
       "                                     Hydrogen storage      6                       21.3   \n",
       "                                     Battery + Curtailment 7                       22.9   \n",
       "                                     Pumped hydro storage  8                       21.3   \n",
       "           Pulverized Coal PV        Battery storage       9                        9.0   \n",
       "                                     Hydrogen storage      10                       9.0   \n",
       "                                     Battery + Curtailment 11                       9.0   \n",
       "                                     Pumped hydro storage  12                       9.0   \n",
       "           IGCC Coal       PV        Battery storage       13                       9.0   \n",
       "                                     Hydrogen storage      14                       9.0   \n",
       "                                     Battery + Curtailment 15                       9.0   \n",
       "mid        NGCC Gas        Wind      Battery storage       16                      20.0   \n",
       "                                     Hydrogen storage      17                      20.0   \n",
       "                                     Battery + Curtailment 18                      20.0   \n",
       "                           PV        Battery storage       19                      15.6   \n",
       "                                     Hydrogen storage      20                      15.6   \n",
       "                                     Battery + Curtailment 21                      16.8   \n",
       "                                     Pumped hydro storage  22                      15.6   \n",
       "           Pulverized Coal PV        Hydrogen storage      23                       9.0   \n",
       "                                     Battery + Curtailment 24                       9.0   \n",
       "           IGCC Coal       PV        Hydrogen storage      25                       9.0   \n",
       "                                     Battery + Curtailment 26                       9.0   \n",
       "\n",
       "                                                                    $\\varphi$ min (%)  \\\n",
       "EROEI case Fossil          Renewable Storage               Case ID                      \n",
       "high       NGCC Gas        Wind      Battery storage       1                      0.0   \n",
       "                                     Hydrogen storage      2                      0.0   \n",
       "                                     Battery + Curtailment 3                      0.0   \n",
       "                                     Pumped hydro storage  4                      0.0   \n",
       "                           PV        Battery storage       5                      0.0   \n",
       "                                     Hydrogen storage      6                      0.0   \n",
       "                                     Battery + Curtailment 7                      0.0   \n",
       "                                     Pumped hydro storage  8                      0.0   \n",
       "           Pulverized Coal PV        Battery storage       9                      8.7   \n",
       "                                     Hydrogen storage      10                     8.7   \n",
       "                                     Battery + Curtailment 11                     0.4   \n",
       "                                     Pumped hydro storage  12                    30.8   \n",
       "           IGCC Coal       PV        Battery storage       13                    14.2   \n",
       "                                     Hydrogen storage      14                    13.8   \n",
       "                                     Battery + Curtailment 15                     5.2   \n",
       "mid        NGCC Gas        Wind      Battery storage       16                    16.5   \n",
       "                                     Hydrogen storage      17                    24.8   \n",
       "                                     Battery + Curtailment 18                    11.3   \n",
       "                           PV        Battery storage       19                     0.0   \n",
       "                                     Hydrogen storage      20                     0.0   \n",
       "                                     Battery + Curtailment 21                     0.0   \n",
       "                                     Pumped hydro storage  22                     0.0   \n",
       "           Pulverized Coal PV        Hydrogen storage      23                    31.0   \n",
       "                                     Battery + Curtailment 24                    25.4   \n",
       "           IGCC Coal       PV        Hydrogen storage      25                    34.8   \n",
       "                                     Battery + Curtailment 26                    30.4   \n",
       "\n",
       "                                                                    RE $EROEI_{el}$ max  \\\n",
       "EROEI case Fossil          Renewable Storage               Case ID                        \n",
       "high       NGCC Gas        Wind      Battery storage       1                       40.0   \n",
       "                                     Hydrogen storage      2                       32.2   \n",
       "                                     Battery + Curtailment 3                       40.0   \n",
       "                                     Pumped hydro storage  4                       23.5   \n",
       "                           PV        Battery storage       5                       30.0   \n",
       "                                     Hydrogen storage      6                       30.0   \n",
       "                                     Battery + Curtailment 7                       30.0   \n",
       "                                     Pumped hydro storage  8                       23.5   \n",
       "           Pulverized Coal PV        Battery storage       9                       11.6   \n",
       "                                     Hydrogen storage      10                      11.6   \n",
       "                                     Battery + Curtailment 11                      12.9   \n",
       "                                     Pumped hydro storage  12                       9.1   \n",
       "           IGCC Coal       PV        Battery storage       13                      11.0   \n",
       "                                     Hydrogen storage      14                      11.1   \n",
       "                                     Battery + Curtailment 15                      12.2   \n",
       "mid        NGCC Gas        Wind      Battery storage       16                      29.4   \n",
       "                                     Hydrogen storage      17                      22.6   \n",
       "                                     Battery + Curtailment 18                      33.8   \n",
       "                           PV        Battery storage       19                      29.4   \n",
       "                                     Hydrogen storage      20                      22.6   \n",
       "                                     Battery + Curtailment 21                      30.0   \n",
       "                                     Pumped hydro storage  22                      17.0   \n",
       "           Pulverized Coal PV        Hydrogen storage      23                       9.4   \n",
       "                                     Battery + Curtailment 24                       9.8   \n",
       "           IGCC Coal       PV        Hydrogen storage      25                       9.0   \n",
       "                                     Battery + Curtailment 26                       9.4   \n",
       "\n",
       "                                                                    $\\varphi$ max (%)  \n",
       "EROEI case Fossil          Renewable Storage               Case ID                     \n",
       "high       NGCC Gas        Wind      Battery storage       1                     26.2  \n",
       "                                     Hydrogen storage      2                     35.0  \n",
       "                                     Battery + Curtailment 3                     22.3  \n",
       "                                     Pumped hydro storage  4                     35.0  \n",
       "                           PV        Battery storage       5                     16.3  \n",
       "                                     Hydrogen storage      6                     29.9  \n",
       "                                     Battery + Curtailment 7                     12.4  \n",
       "                                     Pumped hydro storage  8                     35.0  \n",
       "           Pulverized Coal PV        Battery storage       9                     35.0  \n",
       "                                     Hydrogen storage      10                    35.0  \n",
       "                                     Battery + Curtailment 11                    35.0  \n",
       "                                     Pumped hydro storage  12                    35.0  \n",
       "           IGCC Coal       PV        Battery storage       13                    35.0  \n",
       "                                     Hydrogen storage      14                    35.0  \n",
       "                                     Battery + Curtailment 15                    35.0  \n",
       "mid        NGCC Gas        Wind      Battery storage       16                    35.0  \n",
       "                                     Hydrogen storage      17                    35.0  \n",
       "                                     Battery + Curtailment 18                    35.0  \n",
       "                           PV        Battery storage       19                    35.0  \n",
       "                                     Hydrogen storage      20                    35.0  \n",
       "                                     Battery + Curtailment 21                    30.6  \n",
       "                                     Pumped hydro storage  22                    35.0  \n",
       "           Pulverized Coal PV        Hydrogen storage      23                    35.0  \n",
       "                                     Battery + Curtailment 24                    35.0  \n",
       "           IGCC Coal       PV        Hydrogen storage      25                    35.0  \n",
       "                                     Battery + Curtailment 26                    35.0  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_intersections2.set_index(['EROEI case','Fossil','Renewable','Storage','Case ID'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Area plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section we represent the sensitivity analysis results from both the _Fossils_ and the _Renewables_ in one graph."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For aesthetics, we define a custom shaded area plot, which fades towards the edges."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "def alpharater(g,n,t):\n",
    "    if g<t*n:\n",
    "        return (g+1)*1.0/(t*n)\n",
    "    elif g+1>(1-t)*n:\n",
    "        return ((n-g))*1.0/(t*n)\n",
    "    else:\n",
    "        return 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Renewables plotter\n",
    "def plot_renewables(axes,segment_wise=False,more_labels=False,edgeless=False,blow_up=False):\n",
    "    for i in range(len(eroei_disp_n))[::-1]:\n",
    "        print('plotting '+eroei_ren_names[i]+' area...')\n",
    "        for j in range(len(eroei_disp_n[i])):\n",
    "            points=all_points[eroei_ren_names[i]][j]\n",
    "            ax=axes[j//2][j%2]\n",
    "            colr=cbrew(4-i)\n",
    "            if segment_wise:\n",
    "                nfaces=400\n",
    "                if not blow_up:\n",
    "                    tfaces=0.2\n",
    "                    basealpha=0.15 #0.2\n",
    "                    lws=0.95\n",
    "                else:\n",
    "                    tfaces=0.2\n",
    "                    basealpha=0.3 #0.4\n",
    "                    lws=1.7\n",
    "                for g,p in enumerate(np.split(np.array(points),nfaces)):\n",
    "                    psegment=convexhull(p)\n",
    "                    poly = plt.Polygon(psegment, edgecolor=colr,\n",
    "                                       alpha=basealpha*alpharater(g,nfaces,tfaces),fill=False,lw=lws)\n",
    "                    ax.add_patch(poly)\n",
    "                    if not edgeless:\n",
    "                        ax.plot(psegment.T[0][:2],psegment.T[1][:2],c=colr,alpha=0.9,lw=0.5)\n",
    "                        ax.plot(psegment.T[0][2:],psegment.T[1][2:],c=colr,alpha=0.9,lw=0.5)\n",
    "                        if g==0:\n",
    "                            ax.plot(psegment.T[0][0::2],psegment.T[1][0::2],c=colr,alpha=0.9,lw=0.5)\n",
    "                        if g==len(np.split(np.array(points),nfaces))-1:\n",
    "                            ax.plot(psegment.T[0][1::2],psegment.T[1][1::2],c=colr,alpha=0.9,lw=0.5)\n",
    "            else:\n",
    "                poly = plt.Polygon(convexhull(points), edgecolor=\"none\",facecolor=colr,alpha=0.4)\n",
    "                poly2 = plt.Polygon(convexhull(points), edgecolor=colr,alpha=0.8,fill=False,lw=1)\n",
    "                ax.add_patch(poly)\n",
    "                ax.add_patch(poly2)\n",
    "            legendpoly = plt.Polygon([[0,0],[0,-1],[-1,-1]], edgecolor=colr,facecolor=colr,alpha=legendalpha,lw=1,label=eroei_ren_names[i])\n",
    "            ax.add_patch(legendpoly)\n",
    "            if (i==0):\n",
    "                ax.set_title(ESOI_tech[j],fontsize=13)\n",
    "                ax.text(0.04, 0.12, string.ascii_lowercase[(j%2)*2+j//2],\n",
    "                        horizontalalignment='left',\n",
    "                        verticalalignment='top',\n",
    "                        transform=ax.transAxes,size=13,alpha=0.7,\n",
    "                        bbox=dict(boxstyle=\"round\", fc=\"w\", alpha=0.7))\n",
    "                ax.plot([0,100],[0,100],c='grey',lw=1,ls='--')\n",
    "                if more_labels:\n",
    "                    if (j==2): \n",
    "                        ax.text(0.22, 0.27, 'no storage',\n",
    "                                horizontalalignment='center',\n",
    "                                verticalalignment='center',\n",
    "                                transform=ax.transAxes,size=11,rotation=40, color='grey')\n",
    "                        ax.arrow(35, 35, 0, -1.5, head_width=0.5, head_length=0.5, fc='k', ec='k',ls='-',lw=0.5)\n",
    "                        ax.arrow(35, 32, 0, -15, head_width=0.5, head_length=0.5, fc='k', ec='k',ls='-',lw=0.5)\n",
    "                        ax.text(34.5, 34, 'curtailment',\n",
    "                                horizontalalignment='right',\n",
    "                                verticalalignment='center', rotation=0, color='k')\n",
    "                        ax.text(34.5, 20, 'more\\nstorage',\n",
    "                                horizontalalignment='right',\n",
    "                                verticalalignment='center', rotation=0, color='k')\n",
    "                    if (j==3):\n",
    "                        ax.arrow(31.5, 18.7, 0, 6, head_width=0.5, head_length=0.5, fc='k', ec='k',ls='-',lw=0.5)\n",
    "                        ax.arrow(31.5, 18.7, -4, -4, head_width=0.5, head_length=0.5, fc='k', ec='k',ls='-',lw=0.5)\n",
    "                        ax.text(32.5, 21.7, 'lower\\ncapture\\nratio',\n",
    "                                horizontalalignment='left',\n",
    "                                verticalalignment='center', rotation=0, color='k')\n",
    "                        ax.text(30, 12.2, 'lower\\ncapacity\\nfactor',\n",
    "                                horizontalalignment='left',\n",
    "                                verticalalignment='center', rotation=0, color='k')\n",
    "                    if (j==1):\n",
    "                        arrowoffset=[1.5,0.75,1.5]\n",
    "                        arrowtextoffset=[1.5,4.5,1]\n",
    "                        arrowtext=['PV moderate       ','   PV high','PV in 2022']\n",
    "                        arrowtextoffsetx=[1,1,1]\n",
    "                        arrowtextoffsety=[35.75,32.5,29.25]\n",
    "                        #From main text + Breyer estimate\n",
    "                        for a in range(len(eroei_el_pv)):\n",
    "                            x1,y1=eroei_el_pv[a][0], arrowoffset[a]\n",
    "                            w1=eroei_el_pv[a][1]-eroei_el_pv[a][0]\n",
    "                            ax.arrow(x1,y1,w1,0,length_includes_head=True,\n",
    "                                     head_width=0.5, head_length=0.5, fc=colr, ec=colr,ls='-',lw=0.5)\n",
    "                            ax.arrow(x1+w1,y1,-w1,0,length_includes_head=True,\n",
    "                                     head_width=0.5, head_length=0.5, fc=colr, ec=colr,ls='-',lw=0.5)\n",
    "                            ax.text(arrowtextoffset[a]+x1+w1/2, 3, arrowtext[a],\n",
    "                                horizontalalignment='center', \n",
    "                                verticalalignment='center', rotation=0, color=colr)\n",
    "                            ax.text(arrowtextoffsetx[a], arrowtextoffsety[a], arrowtext[a].strip()+\\\n",
    "                                ': $'+str(eroei_el_pv[a][0])+'-'+str(eroei_el_pv[a][1])+'$',\n",
    "                                horizontalalignment='left', \n",
    "                                verticalalignment='top', rotation=0, color=colr)\n",
    "\n",
    "                        x2=eroei_el_eu[0][0]*eroei_el_eu[1][0]+eroei_el_eu[0][1]*eroei_el_eu[1][1]\n",
    "                        y2=eroei_el_eu[2]\n",
    "                        ax.scatter([x2],[y2],color='k',zorder=100)\n",
    "                        #From Table S2 in supplementary\n",
    "                        ax.text(x2*1.04, y2*1.03, 'European\\nsystem\\nexample',\n",
    "                                horizontalalignment='left',\n",
    "                                verticalalignment='center', rotation=0, color='k')\n",
    "                        \n",
    "            #From Davidsson, S., Höök, M. & Wall, G. A review of life cycle assessments on wind energy systems\n",
    "            elif (j==1):\n",
    "                if more_labels:\n",
    "                    xk=3\n",
    "                    x1,y1=eroei_el_wind[0], 6\n",
    "                    w1=eroei_el_wind[1]-eroei_el_wind[0]\n",
    "                    ax.arrow(x1+w1-xk,y1,xk,0,length_includes_head=True,\n",
    "                                 head_width=0.5, head_length=0.5, fc=colr, ec=colr,ls='--',lw=0.5)\n",
    "                    ax.arrow(x1+w1-xk,y1,-w1+xk,0,length_includes_head=True,\n",
    "                                 head_width=0.5, head_length=0.5, fc=colr, ec=colr,ls='-',lw=0.5)\n",
    "                    ax.text(x1+w1/2, y1+1.5, 'Wind',\n",
    "                            horizontalalignment='center', \n",
    "                            verticalalignment='center', rotation=0, color=colr)\n",
    "                    ax.text(1, 39, \n",
    "                        'Wind: $EROEI_{el}='+str(eroei_el_wind[0])+'-'+str(eroei_el_wind[1])+'$+',\n",
    "                        horizontalalignment='left', \n",
    "                        verticalalignment='top', rotation=0, color=colr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Fossil plotter\n",
    "def plot_fossils(axes,segment_wise=False,more_labels=False,edgeless=False,blow_up=False):\n",
    "    fossil_minmax=[[],[]]\n",
    "    for i in range(len(names)):\n",
    "        points=all_points[names[i]]\n",
    "        print('plotting '+names[i].replace('\\n',' ')+' area...')\n",
    "        for axi in range(len(axes)):\n",
    "            for axj in range(len(axes[axi])):\n",
    "                ax=axes[axi][axj]\n",
    "                colr=cbrew(i)\n",
    "                if segment_wise:\n",
    "                    nfaces=100\n",
    "                    if blow_up:\n",
    "                        tfaces=0.2\n",
    "                        basealpha=0.15 #0.2\n",
    "                        lws=1.05\n",
    "                    else:\n",
    "                        tfaces=0.24\n",
    "                        basealpha=0.11 #0.15\n",
    "                        lws=1\n",
    "                    for g,p in enumerate(np.split(np.array(points),nfaces)):\n",
    "                        psegment=convexhull(p)\n",
    "                        poly = plt.Polygon(psegment, edgecolor=colr, facecolor=colr,\n",
    "                                           alpha=basealpha*alpharater(g,nfaces,tfaces),lw=lws)\n",
    "                        ax.add_patch(poly)\n",
    "                        if not edgeless: ax.plot([psegment.T[0][-1],psegment.T[0][-2]],[psegment.T[1][-1],psegment.T[1][-2]],\n",
    "                                    c=colr,alpha=0.9,lw=0.5)\n",
    "                        if g==len(np.split(np.array(points),nfaces))-1:\n",
    "                            if not edgeless: ax.plot([psegment.T[0][0],psegment.T[0][-1]],[psegment.T[1][0],psegment.T[1][-1]],\n",
    "                                    c=colr,alpha=0.9,lw=0.5)\n",
    "                            if axi==0 and axj==0:\n",
    "                                fossil_minmax[1].append(np.round(psegment.T[0][0],1))\n",
    "                    psegment=convexhull(points)\n",
    "                    if axi==0 and axj==0:\n",
    "                        fossil_minmax[0].append(np.round(points[0][0],1))\n",
    "                    for g in range(len(psegment.T[0])-2):\n",
    "                        if not edgeless: ax.plot([psegment.T[0][g],psegment.T[0][g+1]],[psegment.T[1][g],psegment.T[1][g+1]],\n",
    "                                    c=colr,alpha=0.9,lw=0.5)\n",
    "                else:\n",
    "                    poly = plt.Polygon(convexhull(points), edgecolor=\"k\",facecolor=colr,alpha=0.4)\n",
    "                    poly2 = plt.Polygon(convexhull(points), edgecolor=colr,alpha=0.8,fill=False,lw=1)\n",
    "                    ax.add_patch(poly)\n",
    "                    ax.add_patch(poly2)\n",
    "                legendpoly = plt.Polygon([[0,0],[0,-1],[-1,-1]], edgecolor=colr,facecolor=colr,alpha=legendalpha,lw=1,label=names[i].replace('\\n',' '))\n",
    "                ax.add_patch(legendpoly)\n",
    "        \n",
    "        if more_labels:\n",
    "            ax=axes[1][1]\n",
    "            arrowoffset=[0.75,2.25,1.5]\n",
    "            arrowtextoffsetx=[1,1,1]\n",
    "            arrowtextoffsety=[39,32.5,26]\n",
    "            arrowtextoffsetx2=[23,15,14.5]\n",
    "            arrowtextoffsety2=[2.25,5,2.25]\n",
    "            sep=['\\t  ','\\t ','\\t    ']\n",
    "            x1,y1=fossil_minmax[0][i], arrowoffset[i]\n",
    "            w1=fossil_minmax[1][i]-fossil_minmax[0][i]\n",
    "            ax.arrow(x1,y1,w1,0,length_includes_head=True,\n",
    "                         head_width=0.5, head_length=0.5, fc=colr, ec=colr,ls='-',lw=0.5)\n",
    "            ax.arrow(x1+w1,y1,-w1,0,length_includes_head=True,\n",
    "                         head_width=0.5, head_length=0.5, fc=colr, ec=colr,ls='-',lw=0.5)\n",
    "            ax.text(arrowtextoffsetx[i], arrowtextoffsety[i], \n",
    "                    '$EROEI_{th}='+str(int(min(eroei_el_ns[i])))+'-'+str(int(max(eroei_el_ns[i])))+'$'+\\\n",
    "                    '\\n$EROEI_{el}='+str(fossil_minmax[0][i])+'-'+str(fossil_minmax[1][i])+'$',\n",
    "                    horizontalalignment='left', \n",
    "                    verticalalignment='top', rotation=0, color=colr)\n",
    "            ax.text(arrowtextoffsetx2[i], arrowtextoffsety2[i], names[i].replace('\\n',''),\n",
    "                    horizontalalignment='left', verticalalignment='center', rotation=0, color=colr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Intersections plotter\n",
    "def plot_intersections(axes,blow_up=False):\n",
    "    print('plotting Intersections...')\n",
    "    for i in all_intersections2.index:\n",
    "        j=ESOI_tech.index(all_intersections2.loc[i]['Storage'])\n",
    "        z=names.index(all_intersections2.loc[i]['Fossil'].replace(' ','\\n'))\n",
    "        w=eroei_ren_names.index(all_intersections2.loc[i]['Renewable'])\n",
    "        ax=axes[j//2][j%2]\n",
    "        x=all_intersections2.loc[i]['Fossil $EROEI_{el}$']\n",
    "        y=all_intersections2.loc[i]['Fossil $EROEI_{CCS}$']\n",
    "        if (i-1)%4==0:\n",
    "            for axi in axes:\n",
    "                for axj in axi:\n",
    "                    axj.scatter([x],[y],c='k',s=20,zorder=100)\n",
    "                    axj.scatter([x],[y],c=cbrew(z),s=12,zorder=100)\n",
    "\n",
    "        x1=float(all_intersections2.loc[i]['RE $EROEI_{el}$ min'])\n",
    "        x2=float(all_intersections2.loc[i]['RE $EROEI_{el}$ max'])\n",
    "        colr=cbrew(4-w)\n",
    "        if (not blow_up and x1>13) or (blow_up and x2<maxlabel):\n",
    "            ax.plot([x1,x2],[y,y],c='k',lw=2,alpha=0.3)\n",
    "            ax.plot([x1,x2],[y,y],c=colr,lw=1,alpha=0.5)\n",
    "            if blow_up: z=0.1\n",
    "            else: z=1\n",
    "            ax.text(x1+(x2-x1)/2, y+z+z*(w), all_intersections2.loc[i]['Case ID'],\n",
    "                        horizontalalignment='center',\n",
    "                        verticalalignment='bottom', fontsize=8,\n",
    "                        bbox=dict(boxstyle=\"round\", fc=colr, alpha=0.7))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We plot the _Renewables_ and _Fossils_ on a common axis, with $EROEI_{el}$ on the $x$ and $EROEI_{CCS}$ or $EROEI_{disp}$ on the $y$ axis. We split the figure into 4 sub-plots, split by enegeyr storage cases, exactly as in _Figure 3._ Each sub-plot will have 5 shaded trapezoid areas, for _Wind, PV, NGCC Gas, Pulverized Coal_ and _IGCC Coal_, representing the extent ranges of the sensitivity analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We produce a set of these area plots, the first of which is the explicit representation of the _Intersection_ cases from _Table S4._"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "plotting Wind area...\n",
      "plotting PV area...\n",
      "plotting NGCC Gas area...\n",
      "plotting Pulverized Coal area...\n",
      "plotting IGCC Coal area...\n",
      "plotting Intersections...\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plots init\n",
    "fig,axes=plt.subplots(2,2,figsize=(9,8),subplot_kw=dict(facecolor='#EEEEEE',axisbelow=True))\n",
    "for axi in axes:\n",
    "    for ax in axi:\n",
    "        ax.grid(color='white', linestyle='solid')                       \n",
    "plt.subplots_adjust(wspace=0.1)\n",
    "plt.subplots_adjust(hspace=0.15)\n",
    "\n",
    "legendalpha=0.7\n",
    "\n",
    "#Renewables part\n",
    "plot_renewables(axes,segment_wise=True)\n",
    "                                  \n",
    "#Fossils part\n",
    "plot_fossils(axes,segment_wise=True)\n",
    "\n",
    "#Intersections\n",
    "plot_intersections(axes)\n",
    "\n",
    "#Format labels\n",
    "axes[0][0].set_ylabel('$EROEI_{CCS}$ | $EROEI_{disp}$',fontsize=14,y=0)\n",
    "axes[1][1].set_xlabel('$EROEI_{el}$',fontsize=14,x=0)        \n",
    "maxlabel=max(np.array(eroei_el_ren).flatten())\n",
    "labelrange=[i if i%2==0 else '' for i in range(int(maxlabel)+1) ]\n",
    "for axi in axes:\n",
    "    for ax in axi:\n",
    "        ax.set_xlim(0,maxlabel)\n",
    "        ax.set_ylim(0,maxlabel)\n",
    "        ax.set_xticks(range(int(maxlabel)+1))\n",
    "        ax.set_yticks(range(int(maxlabel)+1))\n",
    "        ax.set_yticks(range(int(maxlabel)+1))\n",
    "        ax.set_xticklabels(labelrange,fontsize=8)   \n",
    "        ax.set_yticklabels(labelrange,fontsize=8) \n",
    "\n",
    "axes[0][0].legend(loc=(0.03,0.52),framealpha=0,fontsize=11)  \n",
    "        \n",
    "#plt.suptitle('Comparison of adjusted EROEIs for \\nfossil fuels with carbon-capture and storage $EROEI_{CCS}$ and \\ndispatchable renewables with energy storage $EROEI_{disp}$',y=1.03,fontsize=13)\n",
    "plt.savefig('plot/extra/figS4.png',dpi=150,bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we produce a blow-up of the same plot of the $EROEI_{el}$ range of $3-14$ for better visuals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "plotting Wind area...\n",
      "plotting PV area...\n",
      "plotting NGCC Gas area...\n",
      "plotting Pulverized Coal area...\n",
      "plotting IGCC Coal area...\n",
      "plotting Intersections...\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plots init\n",
    "fig,axes=plt.subplots(2,2,figsize=(9,8),subplot_kw=dict(facecolor='#EEEEEE',axisbelow=True))\n",
    "for axi in axes:\n",
    "    for ax in axi:\n",
    "        ax.grid(color='white', linestyle='solid')                       \n",
    "plt.subplots_adjust(wspace=0.1)\n",
    "plt.subplots_adjust(hspace=0.15)\n",
    "\n",
    "legendalpha=0.7\n",
    "\n",
    "#Renewables part\n",
    "plot_renewables(axes,segment_wise=True,blow_up=True)\n",
    "\n",
    "#Fossil part\n",
    "plot_fossils(axes,segment_wise=True,blow_up=True)\n",
    "\n",
    "minlabel=3\n",
    "maxlabel=14\n",
    "            \n",
    "#Intersections\n",
    "plot_intersections(axes,blow_up=True)\n",
    "\n",
    "#Format labels\n",
    "axes[0][0].set_ylabel('$EROEI_{CCS}$ | $EROEI_{disp}$',fontsize=14,y=0)\n",
    "axes[1][1].set_xlabel('$EROEI_{el}$',fontsize=14,x=0)        \n",
    "labelrange=[i for i in range(minlabel,int(maxlabel)+1) ]\n",
    "for axi in axes:\n",
    "    for ax in axi:\n",
    "        ax.set_xlim(minlabel,maxlabel)\n",
    "        ax.set_ylim(minlabel,maxlabel)\n",
    "        ax.set_xticks(range(minlabel,int(maxlabel)+1))\n",
    "        ax.set_yticks(range(minlabel,int(maxlabel)+1))\n",
    "        ax.set_yticks(range(minlabel,int(maxlabel)+1))\n",
    "        ax.set_xticklabels(labelrange,fontsize=8)   \n",
    "        ax.set_yticklabels(labelrange,fontsize=8) \n",
    "\n",
    "axes[0][0].legend(loc=(0.03,0.52),framealpha=0,fontsize=11)  \n",
    "        \n",
    "#plt.suptitle('Comparison of adjusted EROEIs for \\nfossil fuels with carbon-capture and storage $EROEI_{CCS}$ and \\ndispatchable renewables with energy storage $EROEI_{disp}$',y=1.03,fontsize=13)\n",
    "plt.savefig('plot/extra/figS5.png',dpi=150,bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And finally, we produce an annotated plots, with the $EROEI_{fuel}$s and $EROEI_{el}$ indicated as on-figure texts, as well as teh _European system example_ presented in _Table S3_. This becomes _Figure 4._ in the paper."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "plotting Wind area...\n",
      "plotting PV area...\n",
      "plotting NGCC Gas area...\n",
      "plotting Pulverized Coal area...\n",
      "plotting IGCC Coal area...\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plots init\n",
    "fig,axes=plt.subplots(2,2,figsize=(9,8),subplot_kw=dict(facecolor='#FFFFFF',axisbelow=True))\n",
    "for axi in axes:\n",
    "    for ax in axi:\n",
    "        ax.grid(color='white', linestyle='solid')                       \n",
    "plt.subplots_adjust(wspace=0.1)\n",
    "plt.subplots_adjust(hspace=0.15)\n",
    "legendalpha=0.7\n",
    "\n",
    "#Renewables part\n",
    "plot_renewables(axes,segment_wise=True,more_labels=True)\n",
    "\n",
    "#Fossil part\n",
    "plot_fossils(axes,segment_wise=True,more_labels=True)\n",
    "\n",
    "#Intersections\n",
    "#plot_intersections(axes)\n",
    "\n",
    "#Format labels\n",
    "for axi in axes:\n",
    "    for ax in axi:\n",
    "        ax.set_xlim(0,max(np.array(eroei_el_ren).flatten()))\n",
    "        ax.set_ylim(0,max(np.array(eroei_el_ren).flatten()))\n",
    "axes[0][0].set_ylabel('$EROEI_{CCS}$ | $EROEI_{disp}$',fontsize=14,y=0)\n",
    "axes[1][1].set_xlabel('$EROEI_{el}$',fontsize=14,x=-0.05)        \n",
    "axes[0][1].set_yticklabels('')   \n",
    "axes[1][1].set_yticklabels('')   \n",
    "axes[0][0].set_xticklabels('')   \n",
    "axes[0][1].set_xticklabels('')  \n",
    "axes[0][0].legend(loc=(0.03,0.52),framealpha=0,fontsize=11)       \n",
    "        \n",
    "#plt.suptitle('Comparison of adjusted EROEIs for \\nfossil fuels with carbon-capture and storage $EROEI_{CCS}$ and \\ndispatchable renewables with energy storage $EROEI_{disp}$',y=1.03,fontsize=13)\n",
    "plt.savefig('plot/png/fig4.png',dpi=150,bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.savefig('plot/eps/fig4.eps',format='eps',bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.savefig('plot/pdf/fig4.pdf',format='pdf',bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "An alternative iteration of _Figure 4._ with the area edges removed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "plotting Wind area...\n",
      "plotting PV area...\n",
      "plotting NGCC Gas area...\n",
      "plotting Pulverized Coal area...\n",
      "plotting IGCC Coal area...\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plots init\n",
    "fig,axes=plt.subplots(2,2,figsize=(9,8),subplot_kw=dict(facecolor='#FFFFFF',axisbelow=True))\n",
    "for axi in axes:\n",
    "    for ax in axi:\n",
    "        ax.grid(color='white', linestyle='solid')                       \n",
    "plt.subplots_adjust(wspace=0.1)\n",
    "plt.subplots_adjust(hspace=0.15)\n",
    "legendalpha=0.7\n",
    "\n",
    "#Renewables part\n",
    "plot_renewables(axes,segment_wise=True,more_labels=True,edgeless=True)\n",
    "\n",
    "#Fossil part\n",
    "plot_fossils(axes,segment_wise=True,more_labels=True,edgeless=True)\n",
    "\n",
    "#Intersections\n",
    "#plot_intersections(axes)\n",
    "\n",
    "#Format labels\n",
    "for axi in axes:\n",
    "    for ax in axi:\n",
    "        ax.set_xlim(0,max(np.array(eroei_el_ren).flatten()))\n",
    "        ax.set_ylim(0,max(np.array(eroei_el_ren).flatten()))\n",
    "axes[0][0].set_ylabel('$EROEI_{CCS}$ | $EROEI_{disp}$',fontsize=14,y=0)\n",
    "axes[1][1].set_xlabel('$EROEI_{el}$',fontsize=14,x=-0.05)        \n",
    "axes[0][1].set_yticklabels('')   \n",
    "axes[1][1].set_yticklabels('')   \n",
    "axes[0][0].set_xticklabels('')   \n",
    "axes[0][1].set_xticklabels('')  \n",
    "axes[0][0].legend(loc=(0.03,0.52),framealpha=0,fontsize=11)       \n",
    "        \n",
    "#plt.suptitle('Comparison of adjusted EROEIs for \\nfossil fuels with carbon-capture and storage $EROEI_{CCS}$ and \\ndispatchable renewables with energy storage $EROEI_{disp}$',y=1.03,fontsize=13)\n",
    "plt.savefig('plot/extra/fig4_edgeless.png',dpi=150,bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Close Excel workbook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "wb.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Auxiliary plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally we create _Figure S2._ First, we read in the capacity factors for the years 2005 and 2015 of all _Coal_ and _Gas_ power plants in the _US_. We then produce 4 vertical histograms, for each fuel source and each year. We then calculate the _mean_ of these distributions to yield the  _mean capacity factor_ per fuel, per year. Please note that due to the structure of the data, this is not a weighted value by plant capacity or yearly generated energy - all plants of all sizes have the same weight in the mean."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_excel('cfdata.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,1,figsize=(6,5),subplot_kw=dict(facecolor='#FFFFFF',axisbelow=True))\n",
    "ax.grid(color='white', linestyle='solid')                       \n",
    "ax.barh(df.index,-df['PC 2005']/sum(df['PC 2005'])*100,0.4,color=cbrew(3),label='Coal 2005',alpha=legendalpha)\n",
    "ax.barh(df.index,df['PC 2015']/sum(df['PC 2015'])*100,0.4,color=cbrew(2),label='Coal 2015',alpha=legendalpha)\n",
    "ax.barh(df.index-0.4,-df['NG 2005']/sum(df['NG 2005'])*100,0.4,color=cbrew(1),label='Gas 2005',alpha=legendalpha)\n",
    "ax.barh(df.index-0.4,df['NG 2015']/sum(df['NG 2015'])*100,0.4,color=cbrew(4),label='Gas 2015',alpha=legendalpha)\n",
    "z=np.average(df.index+0.5,weights=df['NG 2005'])-1\n",
    "ax.plot([-30,-25],[z,z],ls='--',color=cbrew(1))\n",
    "ax.text(-29.7,z+0.2,str(np.round((z+1)*10,1))+ '%',color=cbrew(1))\n",
    "z=np.average(df.index+0.5,weights=df['NG 2015'])-1\n",
    "ax.plot([15,20],[z,z],ls='--',color=cbrew(4))\n",
    "ax.text(15,z+0.15,str(np.round((z+1)*10,1))+ '%',color=cbrew(4))\n",
    "z=np.average(df.index+0.5,weights=df['PC 2005'])-1\n",
    "ax.plot([-30,-25],[z,z],ls='--',color=cbrew(3))\n",
    "ax.text(-29.7,z+0.2,str(np.round((z+1)*10,1))+ '%',color=cbrew(3))\n",
    "ax.text(-29.7,z-0.4,'mean',color=cbrew(3))\n",
    "z=np.average(df.index+0.5,weights=df['PC 2015'])-1\n",
    "#z=np.average(df.index+0.5)-1\n",
    "ax.plot([15,20],[z,z],ls='--',color=cbrew(2))\n",
    "ax.text(15,z-0.5,str(np.round((z+1)*10,1))+ '%',color=cbrew(2))\n",
    "\n",
    "fig.canvas.draw()\n",
    "labels = ['']+[item.get_text().replace(u'\\u2212','') for item in ax.get_xticklabels()[2:-1]]+['']\n",
    "ax.set_xticklabels(labels)\n",
    "ax.set_yticks(df.index)\n",
    "ax.set_xlim([-30,20])\n",
    "ax.set_yticklabels(df['CF'][::-1])\n",
    "ax.legend(bbox_to_anchor=(0.26, 0.22),framealpha=0.5,fontsize=9)\n",
    "ax.set_ylabel('Plant capacity factor')\n",
    "ax.set_xlabel('Percentage of plants (United States)\\n source: US EIA')\n",
    "#ax.set_title('Distribution of annual capacity factors of\\ngas combined-cycle and coal steam plants')\n",
    "plt.savefig('plot/png/figS2.png',dpi=150,bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.savefig('plot/eps/figS2.eps',format='eps',bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.savefig('plot/pdf/figS2.pdf',format='pdf',bbox_inches = 'tight', pad_inches = 0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "[Denes Csala](https://csaladen.es) | MIT License | 2018"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
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