From 4a3d283d2fe8f293ff5b873ebd7883c85ebe78ba Mon Sep 17 00:00:00 2001 From: Mirletz Date: Thu, 4 Apr 2024 17:08:24 -0600 Subject: [PATCH] Energy Analysis focus on Silver demand first cut, pull in data and graph. Need to add literature comparison and mining/supply comparison. --- ...(dev)10c-EnergyAnalysis_Silver_Demand.html | 14910 ++++++++++++++++ ...dev)10c-EnergyAnalysis_Silver_Demand.ipynb | 222 + .../(dev)10c-EnergyAnalysis_Silver_Demand.py | 96 + 3 files changed, 15228 insertions(+) create mode 100644 docs/publications/(dev)10c-EnergyAnalysis_Silver_Demand.html create mode 100644 docs/publications/(dev)10c-EnergyAnalysis_Silver_Demand.ipynb create mode 100644 docs/publications/(dev)10c-EnergyAnalysis_Silver_Demand.py diff --git a/docs/publications/(dev)10c-EnergyAnalysis_Silver_Demand.html b/docs/publications/(dev)10c-EnergyAnalysis_Silver_Demand.html new file mode 100644 index 0000000..758cc95 --- /dev/null +++ b/docs/publications/(dev)10c-EnergyAnalysis_Silver_Demand.html @@ -0,0 +1,14910 @@ + + + + + +(dev)10c-EnergyAnalysis_Silver_Demand + + + + + + + + + + + + + + + + + + + + +
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+ + + + + + + + + diff --git a/docs/publications/(dev)10c-EnergyAnalysis_Silver_Demand.ipynb b/docs/publications/(dev)10c-EnergyAnalysis_Silver_Demand.ipynb new file mode 100644 index 0000000..811e0c2 --- /dev/null +++ b/docs/publications/(dev)10c-EnergyAnalysis_Silver_Demand.ipynb @@ -0,0 +1,222 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "45c23675-860e-419f-b0e3-54e404702d1f", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import os,sys\n", + "from pathlib import Path\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import PV_ICE\n", + "\n", + "cwd = os.getcwd() #grabs current working directory\n", + "\n", + "testfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP' / 'EnergyAnalysis')\n", + "inputfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP')\n", + "baselinesfolder = str(Path().resolve().parent.parent /'PV_ICE' / 'baselines')\n", + "supportMatfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines' / 'SupportingMaterial')\n", + "altBaselinesfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines' / 'Energy_CellModuleTechCompare')\n", + "\n", + "if not os.path.exists(testfolder):\n", + " os.makedirs(testfolder)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "bc1df8e2-3b13-4491-9d79-240d95d0f185", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "C:\\Users\\hmirletz\\Documents\\GitHub\\PV_ICE\\docs\\publications\n" + ] + } + ], + "source": [ + "print(cwd)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9f428c87-a84f-48e9-8899-537a9e532e2d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Python version 3.11.5 | packaged by Anaconda, Inc. | (main, Sep 11 2023, 13:26:23) [MSC v.1916 64 bit (AMD64)]\n", + "Pandas version 2.0.3\n", + "pyplot 3.7.2\n", + "PV_ICE version \n" + ] + } + ], + "source": [ + "#print(\"Working on a \", platform.system(), platform.release())\n", + "print(\"Python version \", sys.version)\n", + "print(\"Pandas version \", pd.__version__)\n", + "print(\"pyplot \", plt.matplotlib.__version__)\n", + "print(\"PV_ICE version \", PV_ICE.__version__)" + ] + }, + { + "cell_type": "markdown", + "id": "9b6ceb9c-7ead-49f1-939f-2bad37070d2e", + "metadata": {}, + "source": [ + "This journal pulls out the silver demand projections for the 3 projected technologies, PERC, TOPCon, SHJ, as projected for the Energy Analysis paper (10a). We also do a literature comparison, since this is a highly studied space.\n", + "\n", + "We pull in the output dataframes from journal 10a and do graphing here." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "27e745e3-e0dd-4434-8bf8-6c9aea3f352a", + "metadata": {}, + "outputs": [], + "source": [ + "cc_13scen_yearly_dataOut = pd.read_csv(os.path.join(inputfolder, 'EnergyAnalysis','Deploy_MirletzLinear','cc_13scen_yearly.csv'),\n", + " index_col = 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "7fe88a6c-0e5c-4d42-9c9e-fd4b22c9a0dc", + "metadata": {}, + "outputs": [], + "source": [ + "silver_annual_demand = cc_13scen_yearly_dataOut.filter(like='VirginStock_silver') #tonnes\n", + "silver_annual_demand_pvice = silver_annual_demand.filter(like='PV_ICE')\n", + "silver_annual_demand_perc = silver_annual_demand.filter(like='r_PERC')\n", + "silver_annual_demand_topcon = silver_annual_demand.filter(like='r_TOPCon')\n", + "silver_annual_demand_shj = silver_annual_demand.filter(like='r_SHJ')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "de832043-8694-434b-a0a4-7efbcb0af775", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(silver_annual_demand_pvice, color='black', label='Baseline')\n", + "plt.plot(silver_annual_demand_perc, color = 'tab:blue', label='PERC')\n", + "plt.plot(silver_annual_demand_topcon, color='tab:orange', label='TOPCon')\n", + "plt.plot(silver_annual_demand_shj, color='tab:red', label='SHJ')\n", + "plt.ylim(0,)\n", + "plt.xlim(2000,2100)\n", + "plt.ylabel('Virgin Material Demand for Silver\\n[Metric Tonnes]')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "5ae7b6f5-6ff2-4c04-95b0-59ce6897c9ca", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.bar(silver_annual_demand_shj.index, silver_annual_demand_shj.iloc[:,0], color='tab:red', label='SHJ')\n", + "plt.bar(silver_annual_demand_topcon.index, silver_annual_demand_topcon.iloc[:,0], color='tab:orange', label='TOPCon')\n", + "plt.bar(silver_annual_demand_pvice.index, silver_annual_demand_pvice.iloc[:,0], color='black', label='Baseline')\n", + "plt.bar(silver_annual_demand_perc.index, silver_annual_demand_perc.iloc[:,0], color='tab:blue', label='PERC')\n", + "plt.ylim(0,)\n", + "plt.xlim(2000,2100)\n", + "plt.ylabel('Virgin Material Demand for Silver\\n[Metric Tonnes]')\n", + "plt.legend()" + ] + }, + { + "cell_type": "markdown", + "id": "e11312b5-12e2-4136-b46a-c2e1f7a6a315", + "metadata": {}, + "source": [ + "### Add in Literature comparison of projections" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cef45e57-1227-4e0d-865a-522c6858a9fd", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/publications/(dev)10c-EnergyAnalysis_Silver_Demand.py b/docs/publications/(dev)10c-EnergyAnalysis_Silver_Demand.py new file mode 100644 index 0000000..5cfc741 --- /dev/null +++ b/docs/publications/(dev)10c-EnergyAnalysis_Silver_Demand.py @@ -0,0 +1,96 @@ +#!/usr/bin/env python +# coding: utf-8 + +# In[1]: + + +import numpy as np +import pandas as pd +import os,sys +from pathlib import Path +import matplotlib.pyplot as plt + +import PV_ICE + +cwd = os.getcwd() #grabs current working directory + +testfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP' / 'EnergyAnalysis') +inputfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP') +baselinesfolder = str(Path().resolve().parent.parent /'PV_ICE' / 'baselines') +supportMatfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines' / 'SupportingMaterial') +altBaselinesfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines' / 'Energy_CellModuleTechCompare') + +if not os.path.exists(testfolder): + os.makedirs(testfolder) + + +# In[3]: + + +print(cwd) + + +# In[2]: + + +#print("Working on a ", platform.system(), platform.release()) +print("Python version ", sys.version) +print("Pandas version ", pd.__version__) +print("pyplot ", plt.matplotlib.__version__) +print("PV_ICE version ", PV_ICE.__version__) + + +# This journal pulls out the silver demand projections for the 3 projected technologies, PERC, TOPCon, SHJ, as projected for the Energy Analysis paper (10a). We also do a literature comparison, since this is a highly studied space. +# +# We pull in the output dataframes from journal 10a and do graphing here. + +# In[7]: + + +cc_13scen_yearly_dataOut = pd.read_csv(os.path.join(inputfolder, 'EnergyAnalysis','Deploy_MirletzLinear','cc_13scen_yearly.csv'), + index_col = 0) + + +# In[19]: + + +silver_annual_demand = cc_13scen_yearly_dataOut.filter(like='VirginStock_silver') #tonnes +silver_annual_demand_pvice = silver_annual_demand.filter(like='PV_ICE') +silver_annual_demand_perc = silver_annual_demand.filter(like='r_PERC') +silver_annual_demand_topcon = silver_annual_demand.filter(like='r_TOPCon') +silver_annual_demand_shj = silver_annual_demand.filter(like='r_SHJ') + + +# In[36]: + + +plt.plot(silver_annual_demand_pvice, color='black', label='Baseline') +plt.plot(silver_annual_demand_perc, color = 'tab:blue', label='PERC') +plt.plot(silver_annual_demand_topcon, color='tab:orange', label='TOPCon') +plt.plot(silver_annual_demand_shj, color='tab:red', label='SHJ') +plt.ylim(0,) +plt.xlim(2000,2100) +plt.ylabel('Virgin Material Demand for Silver\n[Metric Tonnes]') +plt.legend() + + +# In[40]: + + +plt.bar(silver_annual_demand_shj.index, silver_annual_demand_shj.iloc[:,0], color='tab:red', label='SHJ') +plt.bar(silver_annual_demand_topcon.index, silver_annual_demand_topcon.iloc[:,0], color='tab:orange', label='TOPCon') +plt.bar(silver_annual_demand_pvice.index, silver_annual_demand_pvice.iloc[:,0], color='black', label='Baseline') +plt.bar(silver_annual_demand_perc.index, silver_annual_demand_perc.iloc[:,0], color='tab:blue', label='PERC') +plt.ylim(0,) +plt.xlim(2000,2100) +plt.ylabel('Virgin Material Demand for Silver\n[Metric Tonnes]') +plt.legend() + + +# ### Add in Literature comparison of projections + +# In[ ]: + + + +