{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Ziel\n", "Im Tutorial 2 von https://pv4ing.ch sind drei Übungen vorgesehen. Die erste Übung erstellt eine Zeitreihe mit fiktiven Daten. Die zweite Übung verwendet Messdaten als Zeitreihe und die dritte Übung führt eine Berechnung der Jahresstrahlungsenergie durch, bei unterschiedlichen Ausrichtungen.\n", "\n", "# Übung 1: Einstieg\n", "Zuerst machen wir eine einfache Zeitreihenrechnung." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Schritt 1 - Synthetische Messwerte für 1 Tag\n", "Im folgenden Beispiel, nehmen wir keine realen Messwerte, sondern \"bauen\" uns selbst die Messwerte über die Sinusfunktion. Zuerst erstellen wir einen Array (Zahlenreihe) für die Zeit. Wir nehmen an, dass die Sonne um 6:00 aufgeht und um 18:00 untergeht. Über Mittag erreicht die Strahlung einen Wert von 650 W/m2. " ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# Bibliotheken Import\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import datetime as dt\n", "\n", "# Funktionsdefinition\n", "cos = lambda arg : np.cos(np.deg2rad(arg))\n", "sin = lambda arg : np.sin(np.deg2rad(arg))\n", "acos = lambda arg : np.rad2deg(np.arccos(arg))\n", "asin = lambda arg : np.rad2deg(np.arcsin(arg))\n", "\n", "t = np.linspace(6,18,1000)\n", "H = 650 * sin((t-6)/(18-6)*180)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Wir haben ein Strahlungsarray H generiert, eine Zahlenreihe mit Strahlungswerte in W/m2. Beachte das die Funktion sin() oben mit dem lambda-Operator definiert wurde und in Grad angegeben wird. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Überprüfe ob der Zeitarray aus lauter Spaltenwerte (Zeile mit vielen Zahlen) oder aus lauter Zeilenwerte (Spalte mit vielen Zahlen) besteht. Spalte = column. Zeile = row." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(1000,)" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "t.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Stelle den Strahlungsverlauf als Liniendiagramm mit der Linienfarbe grün (g=green) dar." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Strahlung [W/m2]')" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(2, figsize=(8,4))\n", "plt.plot(t,H, 'g')\n", "plt.xlabel('Zeit [h]')\n", "plt.ylabel('Strahlung [W/m2]')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nun können wir die Strahlungsenergie $W_H$ für diesen einen Tag berechnen. Beachte das die Berechung der \"Energie = Leistung mal Zeit\" ist. Hier ist der Zeitschritt \"deltaT\" relevant.\n", "\n", "Die Jahresstrahlungsenergie geben wir als String aus in der Form:\n", "\"Strahlungsenergie 5 kWh auf 1.0 m2 Fläche in einem Tag\"\n", "\n", "Es wird ein Sting erstellt indem das Rechenergebnis wH und die Fläche A eingebaut wird. Die Zahlen werden mit {} im Text angegeben. Dieser {}-Bereich wird ersetzt mit Zahlenwerten welche im .format() angegeben werden. In unserem Fall sind es die beiden Werte A und wH.\n", "In der ersten Klammer {1:3.0f} geben wir an, dass wir das zweite Element mit Index=1 wollen. Das erste Element hat der Index=0. Dann folgt ein \":\" und die Formatierung:\n", "\n", "3.0f heisst eine Float-Zahl mit drei Stellen und 0 Nachkommastellen." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Strahlungsenergie 5 kWh auf 1.0 m2 Fläche in einem Tag\n" ] } ], "source": [ "A = 1 # Fläche 1 m2\n", "deltaT = t[1] - t[0]\n", "wH = np.sum(H)*deltaT*A/1000\n", "print('Strahlungsenergie {1:3.0f} kWh auf {0:1.1f} m2 Fläche in einem Tag'.format(A,wH))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Bildhafte Darstellung der Funktionsweise von .format.\n", "![textformat](textformat.JPG)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Schritt 2 - Synthetische Messwerte für 7 Tag\n", "Nun wollen wir die Strahlungsenergie von 7 Tagen berechnen, von Stunde 0 bis Stunde 7 x 24. Die Sinusfunktion liefert uns für die Nacht (18:00 bis 6:00) negative Werte. Wir korrigieren die negativen Strahlungswerte zu 0 indem wir die Indexierung von Python verwenden." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "H[H<0] = 0" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Der Ausdruck \"H<0\" generiert ein Selektor-Array der Länge von H, bei dem die einzelnen Positionen mit \"1\" oder \"True\" gekennzeichnet sind, bei welchen \"Wert < 0\" zutrifft. Der Ausdruck H[Selektor-Array] = 0 weisst allen selektierten Positionen eine 0 zu. \n", "\n", "Denkbar ist auch \"M[N<1] = 2\". M und N können unterschiedliche Inhalte haben, müssen aber gleich lange Arrays sein. Im Array M werden alle Stellen auf 2 gesetzt, bei denen der Wert im Array \"N < 1\" zutriff." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Nun haben wir folgende Punkte gelernt:\n", "1. Erstellen eines Arrays.\n", "2. Liniendiagramm inklusiv Beschriftung.\n", "3. Berechnen eines Flächenintegrals aus diskreten Werten, d.h. Aufsummieren von Werten.\n", "4. Ergebnisse als formatierbare Zahlen zusammen mit Text ausgeben.\n", "5. Erstellen eines Array über mehrere Tag mit der Verwendung der Indexierung" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Übung 2: Berechnung Strahlungsenergie von mehreren Tagen mit Messdaten\n", "Nun verwenden wir nicht \"künstliche\" Strahlungswerte, generiert durch die Sinusfunktion, sondern reale Messwert. Hierzu benötigen wir eine Datendatei. Wir erstellen einen Plot über 7 Tage mit der Globalstrahlung \"hGlob\", der Diffusstrahlung \"hDif\" und der Direktstrahlung \"hDir\". \n", "\n", "Bei Energiesimulationen ist es empfehlenswert **als Kommentar die Einheit anzugeben**, sodass verständlich ist um was es sich handelt, z.B. [grad] oder [radiant] oder [W] oder [kWh].\n", "\n", "Verwende für diese Übung ein neues py-File und importiere wieder die benötigten Bibliotheken (numpy, matplotlib, datetime)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Datenimport mit Pandas\n", "Zum Importieren verwenden wir die Bibliothek Pandas. Diese zeichnet sich durch gute Verarbeitung von Daten aus, vorallem Zeitreihen. Das Einlesen geht mittels **read_csv**, dabei erhalten wir ein **DataFrame** (df). Dies ist vergleichbar mit einem Excel-Tabellenblatt mit einem Header, d.h. Überschriftzeile und Links einem laufenden Index. \n", "\n", "Als Übung verwenden wir Daten von **PVGIS** über das Tool \"TMY\". Wir wählen einen Ort und laden die Daten als csv-Datei.\n", "![pvgis](pvgis.png)\n", "\n", "Sieh dir die csv-Datei mit dem Texteditor an. Sie enthält einige Information zu Beginn und am Ende. Bei Einlesen sollen dies Informationen ignoriert werden. Dies wird mit **skiprows** und **skipfooter** angegeben. Diese Funktionen sind mit **engine = 'python'** verfügbar. Standardmässig verwendet read_csv die 'c'-engine, da diese schneller ist, jedoch nicht so mächtig. " ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "\n", "df = pd.read_csv('pvgis.csv', delimiter=',', decimal='.', skiprows = 16, skipfooter = 11, header = 0, engine = 'python')\n", "df['tutc'] = pd.to_datetime(df['time(UTC)'], format='%Y%m%d:%H%M' )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pandas erkennt automatisch, welche Daten \"strings\" sind und welche Daten \"Zahlen\", d.h. float sind. Pandas erkennt aber nicht das Datumsformat. Hier helfen wir, indem wir das Format angeben und die Zeitwerte als maschinenlesbares Format in eine neue Spalte **tutc** speichern.\n", "\n", "Nach dem Import, schau dir die importen Daten als DataFrame (df) an, mit\n", " - print(df) oder\n", " - print(df.shape) oder\n", " - list(df) oder\n", " - describe(df)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Zeitreihenrechnung\n", "Zum Rechnen verwenden wir Numpy-Array, d.h. wir nehmen die Daten aus dem DataFrame (df) in dem wir über den Spaltennamen, in eckiger Klammer, auf die Spalte zugreifen und die Werte (values) auslesen:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "hGlo = df['G(h)'].values # [W/m2] \n", "hDif = df['Gd(h)'].values # [W/m2]\n", "hDNI = df['Gb(n)'].values # [W/m2]\n", "tAmb = df['T2m'].values # [°C]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Für die Sonnenstandsberechnung benötigen wir einen Array mit laufenden Stunden \"lfStd\", beginnend mit Stunde 0 bei Jahresanfang. Die PVGIS-Daten über TMY (Typical Meteorological Year) wurden aus Monatsmessdaten von unterschiedlichen Jahren zusammengestellt. Wir verwenden die Daten für eine Jahressimulation, weshalb wir einen neuen Zeit-Array erstellen, mit der selben Länge wie die Daten." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "lfStd = np.linspace(0,8760, 8760)\n", "deltaT = 1 # Zeitintervall 1 Stunde" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Schritt 1\n", "Es soll die Globalstrahlung in grün, Direktstrahlung in rot und Diffusstrahlung in blau dargestellt werden. Weiter soll in der Plot-Figure eine Legende mit den Kurvennamen dargestellt werden. Als Ausschnitt wollen wir die ersten 7 Tage betrachten, d.h. in der Plotfunktion grenzen wir den Array ein durch lfStd[a:e], wobei a für den Anfangsindex und e für den Endindex steht." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Schritt 2\n", "Wenn wir den ersten Tag im Plot ansehen, so fällt auf, dass negative Strahlungswerte vorkommen. Dies entspricht den Messergebnissen aber nicht der Realität. Deshalb sollen die Strahlungsdaten bereinigt werden.\n", " " ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "hDir = hGlo - hDif\n", "\n", "hDir[hDir<0] = 0\n", "hDif[hDif<0] = 0\n", "hGlo[hGlo<0] = 0\n", "\n", "a=int(0) # Anfangstag\n", "e=int(7*24) # Endtag\n", "t = lfStd[a:e]\n", "\n", "plt.figure(3, figsize=(8,4))# Grösse des Plots (figsize) in Zoll\n", "plt.plot(t,hGlo[a:e],'g', label ='Globalstrahlung')\n", "plt.plot(t,hDir[a:e],'r', label ='Direktstrahlung')\n", "plt.plot(t,hDif[a:e],'b', label ='Diffusstrahlung')\n", "plt.xlabel('Zeit [h]');\n", "plt.ylabel('Strahlung [W/m2]');\n", "plt.legend(loc=\"upper left\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Schritt 3\n", "Nun berechnen wir die Strahlungsenergie über das gesamte Jahr. Die Ausgabe der Zahlen soll ohne Nachkommastellen erfolgen, deshalb wird die Zahl als formatierter String in den Gesamtstring eingebettet mit der bekannten Methode \".format\". " ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Global 1237 kWh/m2 entspricht 100 %\n", "Direkt 692 kWh/m2 entspricht 56 %\n", "Diffus 545 kWh/m2 entspricht 44 %\n" ] } ], "source": [ "wGlo = np.sum(hGlo)*deltaT/1000 # [kWh/m2] Jahresstrahlungsenergie Globalstrahlung\n", "wDir = np.sum(hDir)*deltaT/1000 # [kWh/m2] Jahresstrahlungsenergie Direktstrahlung\n", "wDif = np.sum(hDif)*deltaT/1000 # [kWh/m2] Jahresstrahlungsenergie Diffusstrahlung\n", "print('Global {0:1.0f} kWh/m2 entspricht {1:3.0f} %'.format(wGlo, wGlo/wGlo*100))\n", "print('Direkt {0:1.0f} kWh/m2 entspricht {1:3.0f} %'.format(wDir, wDir/wGlo*100))\n", "print('Diffus {0:1.0f} kWh/m2 entspricht {1:3.0f} %'.format(wDif, wDif/wGlo*100))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Zur Kontrolle: vergleiche die Jahresglobalstrahlungsenergie für diesen Standort mit den Werten aus PVGIS. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Nun haben wir folgende Punkte gelernt:\n", "1. Umweltdaten in einem maschinenlesbaren Format zu organisieren über PVGIS und TMY\n", "2. Importieren von Messdaten mit Pandas.\n", "3. Bereinigen eines Array (z.B. Nullsetzten bei negativen Werten) mit der Indexierung." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Übung 3: Strahlung auf eine geneigte Fläche\n", "Bisher betrachteten wir die Strahlung auf die Horizontale. Horizontal weil die Messgeräte horizontal aufgestellt sind. Über die Aufteilung der Globalstrahlung in Diffus- und Direktstrahlung kann die Strahlung auf eine beliebige Fläche berechnet werden." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Schritt 1\n", "Berechne für einen beliebigen Ort die Jahresstrahlungsenergie bei unterschiedlichen Neigungen. Verwende PVGIS als Datenquelle für Strahlungsdaten. Berechne mit dem 3K-Modell (Dreikomponentenmodell) die Strahlung auf eine beliebig ausgerichtete Fläche.Das Dreikomponentenmodell und die Sonnenstandsberechnung ist im Manuskript \"Photvoltaik für Ingenieure\" beschrieben.\n", "\n", "**Ziel ist ein Liniendiagramm mit der Jahresstrahlungsenergie** bei einer Modulausrichtung nach Süden (Azimut 0°). Auf der horizontalen x-Achse ist die Modulneigung und auf der vertikalen y-Achse die Jahresstrahlungsenergie." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Aufbau des Code-Beispiels: \n", "Mit dem 3K-Modell wird die Strahlungsleistung übers gesamte Jahr berechnet. Am Ende wird die Jahresenergie (wH) mit deltaT multipliziert und aufsummieren. Wir erhalten die Jahresstrahlungsenergie\n", "\n", "Um diese Code-Zeilen wird eine for-Schleife gelegt um die Neigung zu variieren.\n", "\n", "Weitere Hinweise zum Code:\n", " - Bei der Berechnung des Direktstrahlungsanteils ist eine Division von sin(h) notwendig. Wenn h = 0 ist, führt dies zu Problemen in der Berechnung, weshalb die Werte auf eine Sonnenhöhe von $5^\\circ$ limitiert werden. Implementierung sieht wie folgt aus, anstatt sin(h) wird np.maximum(sin(h),sin(5)) verwendet.\n", " - Bei der Python-Implementierung ist darauf zu achten das \"np.maximum()\" verwendet wird, anstatt \"max\"! Diese Funktionen sind nicht identisch. Überprüfe den Unterschied. np.maximum ermittelt elementweise das Maximum bei zwei Array's.\n", " - Bei der Berechnung der Direktstrahlungskomponente wird der Zwischenwinkel $\\Theta$ benötigt. Ist dieser über 90° heisst dies das die Direktstrahlung hinter dem Modul ist. Deshalb müssen diese Werte korrigiert werden.\n", "\n", " theta[theta>90] = 90\n", " \n", " Bei genauerer Betrachtung der Berechnung ist nicht $\\Theta$ in der Berechnung notwendig, sondern $cos(\\Theta)$. Die Korrektur sieht dann wie folgt aus:\n", "\n", " cosTheta[cosTheta<0] = 0" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Schritt 2\n", "Zur Kontrolle:\n", " - Stelle den Sonnenstand dar (Azimut und Sonnenhöhe)\n", " - Vergleiche die Ergebnisse mit PVGIS. Beachte das die Jahresstrahlungsenergie in kWh/m2 angegeben wird. In PVGIS ist dies \"H\" nicht \"E\". Trage die PVGIS-Werte ebenfalls ins Diagramm ein." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Schritt 3\n", "**Aufgabe Optimale Ausrichtung:** Variiere nun ein weiterer Parameter. Neben der Neigung soll die Ausrichtung, d.h. der Azimut variiert werden. Auch hier wieder Jahresberechnung der Jahresstrahlungsenergie. Das Ergebnis ist ein 3D-Plot oder eine Höhenliniendarstellung auch Contour-Plot genannt. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Zusammenfassung Tutorial 2\n", "### Übung 1\n", "Energie ist Leistung mal Zeit. Leistungswerte werden summiert und mit DeltaT multipliziert.\n", "\n", "### Übung 2\n", "Importieren von Daten und Darstellen.\n", "\n", "### Übung 3\n", "Die Berechnung der Jahresenergie erfolgt vektoriell.\n", "\n", "Zwei ineinander verschachtelte for-Schleifen! Es werden zwei Parameter variiert, deshalb x-, y-, z-Achse. Für jeden Datenpunkt erfolgt eine Jahressimulationen. Im Beispiel wurde die Neigungen und die Ausrichtungen variiert deshalb zwei for-Schleifen. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Weitere Informationen zu Energiesystemberechnung\n", "\n", "Bisher verwendeten wir die Umweltdaten Strahlung und Tempertaur. Für Berechnungen zu Eigenverbrauchsquote, Autarkie, Warmwassererwärmung benötigen wir Lastprofiele. Das Lastprofil ist syntetisch erstellt und sieht wie folgt aus:\n", "\n", "\n", "\n", "Wir verwenden die csv-Datei auf github https://github.com/markstaler/pv4ing. Mit \"save_as\" kann die Datei gespeicher werden. Achtung, wenn eine csv-Datei angeklickt wird, so wird diese standardmässig mit Excel geöffnet, dabei formatiert Excel die Zahlen, Datum, Uhrzeit um, mit den Einstellungen des Betriebssystems. Dies geht in 9 von 10 Fällen gut, aber nicht immer. Deshalb die Daten nicht speichern, beim Öffnen mit Excel. Besser die Datei mit dem Editor/Notepad öffnen.\n", "\n", "Im DataFrame ist das Datum und die Uhrzeit angegeben, jedoch als Text-String und für pandas nicht verständlich. Dieser Text-String wandeln wir in ein maschinenlesbares Format um, hierbei geben wir das Format des Datums und der Uhrzeit an. \n", "\n", "\n", "Anschliessend legen wir diese Spalte mit Datum und Uhrzeit als Index fest (set_index) und die ursprüngliche Spalte \"Time\" wird gelöscht. Mit der Festlegung von datetime als Index weiss pandas dass es sich um eine Zeitreihe handelt und kann diese, sofern gewünscht in eine beliebige Auflösung umrechnen mit **resample**.\n", "\n", "Im untenstehenden Beispiel wird die Auflösung (=Frequenz) mit 30 Minuten definiert durch \"30T\" und die Mittelwerte in diesem Zeitintervall berechnet. Die Formatierung ist definiert durch [DateOffset](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#timeseries-offsets). Anstatt des Mittelwerts könnte auch der Minimalwert, Maximalwert, Summenwert, u.s.w. berechnet werden - resample ist ein sehr mächtiges Instrument.\n", "\n", "Zum Rechnen verwenden wir Numpy-Array welche über values vom DataFrame auslesen werden." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "## Daten importieren\n", "df = pd.read_csv('2017_DataExport15min.csv', delimiter=';', decimal='.', header = 0)\n", "df['Time'] = pd.to_datetime(df['Time'], format='%Y-%m-%d %H:%M:%S' ) \n", "df = df.set_index(['Time']) # Datetime als Index definieren\n", "df = df.resample('30T').mean() # Die Daten werden \"resampled\" zu 30 min Werte\n", "\n", "hGlo = df['hGlo'].values # [W/m2] \n", "hDif = df['hDif'].values # [W/m2]\n", "tAmb = df['Tamb'].values # [°C]\n", "pVer = df['Pload'].values # [W] Verbrauchsprofil\n", "zapf = df['Zapfung'].values # [l/15min] Profil für Warmwasserbezug" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Für die Sonnenstandsberechnung benötigen wir einen Array mit laufenden Stunden \"lfStd\", beginnend mit Stunde 0 bei Jahresanfang um die Zeitreihenberechnung umzusetzten.\n", "\n", "Nun kann es sein, dass die einglesenen Daten zu einem beliebigem Zeitpunkt beginnen, die laufenden Stunden sind aber mit 1.Januar definiert, deshalb berechnen wir die Zeitdifferenz (zDif) zum 1.Januar des Jahres vom ersten Messwert.\n", "\n", "Die Zeitdifferenz (zDif) ist im Format Timedelta, welches wir mit \"total_seconds)\" in ein Array mit Zahlen umwandeln. Die Zahlen sind Sekunden, welche wir in Stunden umrechnen, jedoch ist es nach wievor ein pandas-Array und wir benötigen ein Numpy-Array. Die erfolgt mit \"lfStd.values\" oder alternativ mit \"np.array(lfStd)." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "zDif = df.index - dt.datetime(df.index[0].year, 1, 1, 0)\n", "lfStd = zDif.total_seconds() # Pandas-Array mit Sekunden\n", "lfStd = lfStd/3600 # Pandas-Array mit Stunden\n", "lfStd = lfStd.values # Numpy-Array mit Zahlenwerte. Alternativ: lfStd = np.array(lfStd)\n", "\n", "deltaT = lfStd[1] - lfStd[0] # [h] Auflösung\n", "tutc = df.index" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Wir haben folgendes gelernt:\n", "1. Importieren von Daten mit Pandas inklusiv Datum und Zeit\n", "2. Umwandeln des Datum-Zeit-Text in ein maschinenlesbares Format\n", "3. Resample der Daten" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Simulation von einem Speicher\n", "Für die Simulation einer Batterie ist neben der Produktion durch PV auch der Verbrauch relevant. Deshalb ist bei den Messdaten ein Lastprofil (pLoad) aufgeführt. \n", "\n", "Bei der Betrachtung von Produktion oder Verbrauch konnten die Zeitreihen als Array vektoriell berechnet werden, was die Simulation sehr effizient machte. Bei der Berechnung des Ladezustands einer Batterie ist der vorgängige Zustand relevant, d.h. es kann nicht mehr vektoriell gerechnet werden, sondern über eine Schleife. \n", "\n", "Bei der Berechnung wird jeder einzelne Zeitschritt berechnet:\n", "\n", "#### 1. Berechnung Leistungsbedarf (Verbrauch abzüglich Produktion)\n", "\n", "Prüfen ob Leistungsbedarf durch die Batterie zur Verfügung gestellt werden kann:\n", "\n", "a.) Wenn ja wird die Batterie entladen\n", " \n", "b.) Wenn nicht wird die Leistung aus dem Netz bezogen, abzüglich dem Rest in der Batterie\n", " \n", "#### 2. Berechnung Überschuss (Produktion abzüglich Verbrauch)\n", "\n", "Prüfen ob Batterie nicht voll ist,\n", "\n", "a.)\tWenn nicht kann die Batterie geladen werden bis sie voll ist, der Rest wird ins Netz rückgespeist\n", " \n", "b.)\tWenn die Batterie voll ist, wird der Überschuss ins Netz rückgespeist.\n", "\n", "\n", " \n", "\n", "Mit diesem Vorgehen wird die Netzbezugsenergie (wBez) und die Netzeinspeisung (wEin) berechnet (Energie = Leistung mal Zeit).\n", "\n", "***Spätestens hier ist es sehr wichtig, wenn als Kommentar die Einheit angegeben wird, um Klarheit zu haben ob Leistung [W] oder Energie [kWh] oder [Wh] gemeint ist!***" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Eigenverbrauchsgrad ist 52 %\n", "Autarkiegrad ist 71 %\n" ] } ], "source": [ "### Parameterdefinition\n", "PR = 0.75 #[1]\n", "pPVstc = 6 #[kW]\n", "batCap = 6 #[kWh]\n", "\n", "pPV = hGlo*PR*pPVstc # [W] PV-Produktionsleistung\n", "\n", "### Batterie Berechnung\n", "wBez = 0 # [kWh] Energie Netzbezug\n", "wEin = 0 # [kWh] Energie Netzeinspeisung \n", "wBat = 0 # [kWh] Energie Batteriestand. Annahme das Batterie zu Beginn leer ist\n", "\n", "pBedarf = pVer-pPV # [W] Bedarf ist Verbrauch agzüglich Produktion, jedoch....\n", "pBedarf[pBedarf<0]=0 #...darf der Wert nicht <0 sein (z.B. wenn PV grösser ist als Verbrauch)\n", "for p in range(pPV.size): \n", " if wBat >= pBedarf[p]*deltaT/1000:\n", " wBat = wBat - pBedarf[p]*deltaT/1000 # [kWh]\n", " else:\n", " wBez = wBez + pBedarf[p]*deltaT/1000 - wBat # [kWh]\n", " wBat = 0\n", " pUebersch = np.maximum(pPV[p]-pVer[p], 0) # [W] \n", " if wBat <= batCap:\n", " eNichtladbar = np.maximum(pUebersch*deltaT/1000 - (batCap-wBat),0) #[kWh]\n", " wBat = wBat + pUebersch*deltaT/1000 - eNichtladbar #[kWh] \n", " wEin = wEin + eNichtladbar\n", " else:\n", " wEin = wEin + pUebersch*deltaT/1000 # [kWh]\n", "\n", "wVer = np.sum(pVer)*deltaT/1000 # [kWh] Verbrauch Jahresenergie\n", "wPro = np.sum(pPV)*deltaT/1000 # [kWh] PV-Produktion Jahresenergie\n", "rEV = (wPro-wEin)/wPro *100 # [%] Eigenverbrauchsquote\n", "rA = (wVer-wBez)/wVer *100 # [%] Autarkiegrad\n", "print('Eigenverbrauchsgrad ist {0:1.0f} %'.format(rEV))\n", "print('Autarkiegrad ist {0:1.0f} %'.format(rA))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Mit dem obigen Code-Beispiel haben wir die Jahresenergie berechnet. Möchten wir einen zeitlichen Verlauf des Ladens und Entladens darstellen an drei Tagen im Jahr, so wird der Code erweitert, markiert mit (\\***):" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "### es wird nur ein Ausschnitt betrachtet, nicht das gesamte Jahr\n", "a = int(105*24/deltaT)\n", "e = int(a+3*24/deltaT)\n", "pPV = hGlo[a:e]*PR*pPVstc # [W]\n", "pVer = pVer[a:e]\n", "tutcTeil = tutc[a:e]\n", "\n", "# Initialisierung Array für Darstellung (***)\n", "batStand = np.zeros(tutcTeil.size) # Array für Batteriestand (***)\n", "netzbezug = np.zeros(tutcTeil.size) # Array für Netzleistungsbezug (***)\n", "einspeisung = np.zeros(tutcTeil.size) # Array für Einspeiseleistung (***)\n", "\n", "### Batterie Berechnung\n", "wBez = 0 # [kWh] Energie Netzbezug\n", "wEin = 0 # [kWh] Energie Netzeinspeisung \n", "wBat = 0 # [kWh] Energie Batteriestand. Annahme das Batterie zu Beginn leer ist\n", "\n", "pBedarf = pVer-pPV # [W] Bedarf ist Verbrauch agzüglich Produktion, jedoch....\n", "pBedarf[pBedarf<0]=0 #...darf der Wert nicht <0 sein (z.B. wenn PV grösser ist als Verbrauch)\n", "for p in range(pPV.size):\n", " if wBat >= pBedarf[p]*deltaT/1000:\n", " wBat = wBat - pBedarf[p]*deltaT/1000 # [kWh]\n", " pBezug = 0 # [kW] (***)\n", " else:\n", " wBez = wBez + pBedarf[p]*deltaT/1000 - wBat # [kWh]\n", " wBat = 0\n", " pBezug = pBedarf[p] - wBat*1000/deltaT # [W] (***)\n", " pUebersch = np.maximum(pPV[p]-pVer[p], 0) # [W] \n", " if wBat <= batCap:\n", " eNichtladbar = np.maximum(pUebersch*deltaT/1000 - (batCap-wBat),0) #[kWh]\n", " wBat = wBat + pUebersch*deltaT/1000 - eNichtladbar #[kWh] \n", " wEin = wEin + eNichtladbar\n", " pEinspeisung = eNichtladbar/deltaT*1000 # [W] (***)\n", " else:\n", " wEin = wEin + pUebersch*deltaT/1000 # [kWh]\n", " pEinspeisung = pUebersch # [W] (***)\n", " \n", " # Berechnete Werte ans Array übergeben (***)\n", " batStand[p] = wBat*1000 # (***)\n", " netzbezug[p] = pBezug # [W] (***)\n", " einspeisung[p] = pEinspeisung # [W] (***)\n", " \n", "### Darstellung (***)\n", "fig = plt.figure(6, figsize=(10,4))\n", "plt.plot_date(tutcTeil, pVer,'k', label='Verbrauch [W]')\n", "plt.plot_date(tutcTeil, pPV,'g', label='Produktion [W]')\n", "plt.plot_date(tutcTeil, batStand,'b', label='Batteriestand [Wh]')\n", "plt.plot_date(tutcTeil, netzbezug,'r:', label='Netzbezug [W]')\n", "plt.plot_date(tutcTeil, einspeisung,'g:', label='Rückspeisung [W]')\n", "plt.legend(loc='best')\n", "plt.xlabel('laufende Stunden [h]')\n", "plt.ylabel('Leistung [W]/Batteriestand [Wh]')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Thermischer Speicher\n", "Mit der selben Logik kann ein thermischer Speicher berechnet werden. Es wird von einer vollständigen Durchmischung im Speicher ausgegangen, d.h. es gibt keine Schichtung. Bei einem Energieeintrag erhöht sich die Temperatur im Speicher, was in der Praxis einer Stufenladung entspricht und keiner Schichtladung, da von keiner Schichtung ausgegangen wird.\n", "\n", "Der Energieinhalt berechnet sich über die Speichertemperatur tsp, Kaltwassertemperatur tkw, der Dichte $\\rho$ und der spezifischen Wärmekapazität von Wasser cp = 4.182 kJ/(kg K):\n", "\n", "$W = vol \\cdot \\rho \\cdot cp \\cdot (tsp - tkw)$\n", "\n", "Der Speicher hat folgendes Steuerverhalten: bei einer minimalen Speichertemperatur von tMin = 40 °C, wird der Heizstab über das Netz versorgt, sodass ausreichend Warmwasser erzeugt wird. Ist die Nachladung über das Netz aktiviert so bleibt diese aktiv bis der Speicher eine Temperatur von tMaxNetz = 45 °C hat (Hysteresis). Wird über PV geladen so ist die Ausschaltschwelle höher bei tMax = 85 °C. Es kann so mehr Energie eingelagert werden. Zu berücksichtigen sind Speicherverluste von 23 W. " ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "### Thermische Speicher Berechnung\n", "vol = 300 # [liter] Speicherinhalt\n", "tkw = 12 # [°C] Kaltwassertemperatur\n", "tMin = 40 # [°C] min. Speichertemp. Heizung ein\n", "tMax = 85 # [°C] max. Speichertemp. bei PV-Ladung\n", "tMaxNetz = 45 # [°C] max. Speichertemp. bei Netz-Ladung\n", "thermalLosses = 23 # [W] Speicherverluste \n", "pHS = 2 # [kW] Leistung Heizstab\n", "\n", "tSp = 45 # [°C] Sim.Starttemperatur Speicher \n", "wBez = 0 # [kWh] Energie Netzbezug\n", "netzLaden = False # Flag welches Netzladung anzeigt\n", "tSpArray = np.zeros(zapf.size) # [°C] Array für Speichertemperatur\n", "pThermArray = np.zeros(zapf.size)# [W] Array Leistung Heizstab\n", "pzapfArray = np.zeros(zapf.size) # [W] Array Zapf-Leistung \n", "\n", "for p in range(pPV.size):\n", " if tSp < tMax:\n", " pTherm = pPV[p] # [W]\n", " else:\n", " pTherm = 0 # [W]\n", "\n", " if tSp > tMaxNetz:\n", " netzLaden = False\n", "\n", " if tSp < tMin:\n", " netzLaden = True\n", "\n", " if netzLaden == True:\n", " wBez = wBez + pHS*deltaT # [kWh]\n", " pTherm = pHS*1000 + pTherm # [W]\n", "\n", " wSp = vol * 4.182/3.6 * (tSp-tkw) # [Wh] Energieinhalt Speicher vorher\n", " pzapf = zapf[p]/deltaT * 4.182/3.6 * (tSp-tkw) # [W_therm] gezapfte Leistung\n", " wSp = wSp + (pTherm - pzapf - thermalLosses)*deltaT # [Wh] Energieinhalt Speicher nachher\n", " tSp = wSp/(vol*4.182/3.6) + tkw # [°C] neue Speichertemperatur\n", " tSpArray[p] = tSp # [°C]\n", " pThermArray[p] = pTherm # [W]\n", " pzapfArray[p] = pzapf # [W]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Dieses Tutorial wurde mit Jupyter Notebook erstellt, welches im Anaconda-Paket enthalten ist. Markus Markstaler. 2021" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Dynamische Diagramme mit Bokeh\n", "Für eine Visalisierung eines Strahlungsverlauf übers Jahr, wäre es nützlich wenn in die Daten \"gezoomt\" werden könnten, ohne der Eingrenzung über die Indexe [a:e]. Dies ist möglich mit dem Paket \"bokeh\". Es funktionert ähnlich wie Matplotlib. Es wird eine html-Datei erzeugt (mittels \"output_file('filename.html')\"), welche das Diagramm enthält und Werkzeuge zum Verschieben, Zommen, usw." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "from bokeh.io import show \n", "from bokeh.plotting import figure \n", "\n", "x = np.linspace(0,7,100)\n", "y = np.sin(x)\n", "\n", "p1 = figure()\n", "p1.line(x,y)\n", "\n", "show(p1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nun zur **Maximalvariante** der Bokeh-Darstellung:\n", "\n", "Die Übergabe der Daten erfolgt direkt als Dataframe (kann auch als Array erfolgen, wie bei Matplotlib). Im Dataframe ergänzen wir die Uhrzeit als String (\"tutcStr\") in einem, durch uns, definierbaren Format, zuvor wurde noch eine Stunde dazugezählt um von der UTC-Zeit auf die Mitteleuropäische Zeit zu kommen.\n", "\n", "tt steht für Tooltip und heisst das die Werte der Kennlinie ausgegeben werden an der Position wo die Maus über der Kennlinie ist. Die Daten können die Messwerte sein, mit Zugriff \"@hGlo\" oder der Wert aus der gezeichneten Kennlinie mit $y\", welcher interpoliert wird.\n", "\n", "Bei der Erzeugung des Diagramm-Objekt kann die Grösse eingestellt werden und die Tooltips.\n", "\n", "Eine sehr schöne Funktion ist p1.legend.click_policy=\"hide\" dabei können die Kurven ausgeblendet werden, wenn die jeweilige Legende angeklickt wird." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
\n", " \n", " Loading BokehJS ...\n", "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/javascript": [ "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", " }\n", "\n", " var force = true;\n", "\n", " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", " root._bokeh_onload_callbacks = [];\n", " root._bokeh_is_loading = undefined;\n", " }\n", "\n", " var JS_MIME_TYPE = 'application/javascript';\n", " var HTML_MIME_TYPE = 'text/html';\n", " var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", " var CLASS_NAME = 'output_bokeh rendered_html';\n", "\n", " /**\n", " * Render data to the DOM node\n", " */\n", " function render(props, node) {\n", " var script = document.createElement(\"script\");\n", " node.appendChild(script);\n", " }\n", "\n", " /**\n", " * Handle when an output is cleared or removed\n", " */\n", " function handleClearOutput(event, handle) {\n", " var cell = handle.cell;\n", "\n", " var id = cell.output_area._bokeh_element_id;\n", " var server_id = cell.output_area._bokeh_server_id;\n", " // Clean up Bokeh references\n", " if (id != null && id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", "\n", " if (server_id !== undefined) {\n", " // Clean up Bokeh references\n", " var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", " cell.notebook.kernel.execute(cmd, {\n", " iopub: {\n", " output: function(msg) {\n", " var id = msg.content.text.trim();\n", " if (id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", " }\n", " }\n", " });\n", " // Destroy server and session\n", " var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", " cell.notebook.kernel.execute(cmd);\n", " }\n", " }\n", "\n", " /**\n", " * Handle when a new output is added\n", " */\n", " function handleAddOutput(event, handle) {\n", " var output_area = handle.output_area;\n", " var output = handle.output;\n", "\n", " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", " return\n", " }\n", "\n", " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", "\n", " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", " // store reference to embed id on output_area\n", " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", " }\n", " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", " var bk_div = document.createElement(\"div\");\n", " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", " var script_attrs = bk_div.children[0].attributes;\n", " for (var i = 0; i < script_attrs.length; i++) {\n", " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", " }\n", " // store reference to server id on output_area\n", " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", " }\n", " }\n", "\n", " function register_renderer(events, OutputArea) {\n", "\n", " function append_mime(data, metadata, element) {\n", " // create a DOM node to render to\n", " var toinsert = this.create_output_subarea(\n", " metadata,\n", " CLASS_NAME,\n", " EXEC_MIME_TYPE\n", " );\n", " this.keyboard_manager.register_events(toinsert);\n", " // Render to node\n", " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", " render(props, toinsert[toinsert.length - 1]);\n", " element.append(toinsert);\n", " return toinsert\n", " }\n", "\n", " /* Handle when an output is cleared or removed */\n", " events.on('clear_output.CodeCell', handleClearOutput);\n", " events.on('delete.Cell', handleClearOutput);\n", "\n", " /* Handle when a new output is added */\n", " events.on('output_added.OutputArea', handleAddOutput);\n", "\n", " /**\n", " * Register the mime type and append_mime function with output_area\n", " */\n", " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", " /* Is output safe? */\n", " safe: true,\n", " /* Index of renderer in `output_area.display_order` */\n", " index: 0\n", " });\n", " }\n", "\n", " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", " if (root.Jupyter !== undefined) {\n", " var events = require('base/js/events');\n", " var OutputArea = require('notebook/js/outputarea').OutputArea;\n", "\n", " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", " register_renderer(events, OutputArea);\n", " }\n", " }\n", "\n", " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", "\n", " var NB_LOAD_WARNING = {'data': {'text/html':\n", " \"
\\n\"+\n", " \"

\\n\"+\n", " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", " \"

\\n\"+\n", " \"
    \\n\"+\n", " \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n", " \"
  • use INLINE resources instead, as so:
    • \\n\"+\n", " \"
\\n\"+\n", " \"\\n\"+\n", " \"from bokeh.resources import INLINE\\n\"+\n", " \"output_notebook(resources=INLINE)\\n\"+\n", " \"\\n\"+\n", " \"
\"}};\n", "\n", " function display_loaded() {\n", " var el = document.getElementById(\"1149\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", " if (root.Bokeh !== undefined) {\n", " if (el != null) {\n", " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", " }\n", " } else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(display_loaded, 100)\n", " }\n", " }\n", "\n", "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", " if (callback != null)\n", " callback();\n", " });\n", " } finally {\n", " delete root._bokeh_onload_callbacks\n", " }\n", " console.debug(\"Bokeh: all callbacks have finished\");\n", " }\n", "\n", " function load_libs(css_urls, js_urls, callback) {\n", " if (css_urls == null) css_urls = [];\n", " if (js_urls == null) js_urls = [];\n", "\n", " root._bokeh_onload_callbacks.push(callback);\n", " if (root._bokeh_is_loading > 0) {\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", " }\n", " if (js_urls == null || js_urls.length === 0) {\n", " run_callbacks();\n", " return null;\n", " }\n", " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", " if (root._bokeh_is_loading === 0) {\n", " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", " run_callbacks()\n", " }\n", " }\n", "\n", " function on_error(url) {\n", " console.error(\"failed to load \" + url);\n", " }\n", "\n", " for (let i = 0; i < css_urls.length; i++) {\n", " const url = css_urls[i];\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", " element.onerror = on_error.bind(null, url);\n", " element.rel = \"stylesheet\";\n", " element.type = \"text/css\";\n", " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", " }\n", "\n", " const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\": \"XypntL49z55iwGVUW4qsEu83zKL3XEcz0MjuGOQ9SlaaQ68X/g+k1FcioZi7oQAc\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\": \"bEsM86IHGDTLCS0Zod8a8WM6Y4+lafAL/eSiyQcuPzinmWNgNO2/olUF0Z2Dkn5i\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\": \"TX0gSQTdXTTeScqxj6PVQxTiRW8DOoGVwinyi1D3kxv7wuxQ02XkOxv0xwiypcAH\"};\n", "\n", " for (let i = 0; i < js_urls.length; i++) {\n", " const url = js_urls[i];\n", " const element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error.bind(null, url);\n", " element.async = false;\n", " element.src = url;\n", " if (url in hashes) {\n", " element.crossOrigin = \"anonymous\";\n", " element.integrity = \"sha384-\" + hashes[url];\n", " }\n", " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", " };\n", "\n", " function inject_raw_css(css) {\n", " const element = document.createElement(\"style\");\n", " element.appendChild(document.createTextNode(css));\n", " document.body.appendChild(element);\n", " }\n", "\n", " \n", " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\"];\n", " var css_urls = [];\n", " \n", "\n", " var inline_js = [\n", " function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", " function(Bokeh) {\n", " \n", " \n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", " \n", " if (root.Bokeh !== undefined || force === true) {\n", " \n", " for (var i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", " if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", " } else if (!root._bokeh_failed_load) {\n", " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", " root._bokeh_failed_load = true;\n", " } else if (force !== true) {\n", " var cell = $(document.getElementById(\"1149\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", "\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", " run_inline_js();\n", " } else {\n", " load_libs(css_urls, js_urls, function() {\n", " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", " run_inline_js();\n", " });\n", " }\n", "}(window));" ], "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
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