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starting SIPS case studies
journal started, residential scenarios defined - haven't yet run.
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‎PV_ICE/baselines/SupportingMaterial/MaterialCompositionAnnual-Graph.xlsx

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‎docs/baseline development documentation/(baseline dev) Energy - Copper.ipynb

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"cell_type": "code",
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"execution_count": 25,
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"id": "5c172e28",
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"metadata": {},
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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‎docs/dev/Untitled.html renamed to ‎docs/dev/SIPS2025-CaseStudies.html

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‎docs/dev/SIPS2025-CaseStudies.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "badb9b1e-e3ab-46ab-835d-46aec0dc01ac",
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"metadata": {},
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"source": [
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"# SIPS: QUIP SERIES\n",
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"This journal explores the case studies of the SIPS 2025 project understanding the implications of repowering and module reuse. This compliments analyses conducted in SAM and PV Watts. Below are the Residential, Commercial, and Utility scale case studies"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "51c46971-8cdf-4836-8418-0469123f3ab9",
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"metadata": {},
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"outputs": [],
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"source": [
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"#setup\n",
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"import numpy as np\n",
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"import pandas as pd\n",
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"import os,sys\n",
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"from pathlib import Path\n",
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"import matplotlib.pyplot as plt\n",
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"import plotly.express as px\n",
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"\n",
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"import PV_ICE\n",
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"\n",
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"cwd = os.getcwd() #grabs current working directory\n",
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"\n",
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"testfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP' / 'MESC-NRELStdScens')\n",
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"inputfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines'/'NRELStdScenarios')\n",
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"baselinesfolder = str(Path().resolve().parent.parent /'PV_ICE' / 'baselines')\n",
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"supportMatfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines' / 'SupportingMaterial')\n",
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"#altBaselinesfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines' / 'Energy_CellModuleTechCompare')\n",
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"\n",
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"if not os.path.exists(testfolder):\n",
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" os.makedirs(testfolder)\n",
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"\n",
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"print(\"Python version \", sys.version)\n",
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"print(\"Pandas version \", pd.__version__)\n",
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"print(\"pyplot \", plt.matplotlib.__version__)\n",
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"print(\"PV_ICE version \", PV_ICE.__version__)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "613f82f3-f393-43dc-9386-0b9329ab0804",
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"metadata": {},
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"outputs": [],
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"source": [
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"sim1 = PV_ICE.Simulation(name='SIPS', path=testfolder)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a43f9553-be86-4a17-92d2-b32c65992b15",
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"metadata": {},
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"source": [
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"## Residential Case Study\n",
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"This case study considers a residential system where the PV system is not at technical end of life (installed 2015), but the roof needs replacing in 2024. The owner has the option of keeping the old system or replacing the PV system."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "93a52417-0815-46cc-8b4f-c86fc2b6e556",
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"metadata": {},
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"outputs": [],
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"source": [
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"#c-Si\n",
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"MATERIALS = ['glass','aluminium_frames','silver','silicon', 'copper', 'encapsulant', 'backsheet']\n",
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"moduleFile = os.path.join(baselinesfolder, 'baseline_modules_mass_US_updatedT50T90.csv')\n",
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"#CdTe\n",
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"#MATERIALS_CdTe = ['glass_cdte','aluminium_frames_cdte', 'copper_cdte', 'encapsulant_cdte','cadmium','tellurium']\n",
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"#moduleFile_CdTe = os.path.join(baselinesfolder, 'baseline_modules_mass_US_CdTe.csv')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5ee5a3e3-29a3-4eea-94c5-e5ae75fb1da6",
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"metadata": {},
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"outputs": [],
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"source": [
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"#residential system parameters\n",
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"resi_sys1_size = 0.00552 #MW, first system on roof (degrades to 5 kW in 2024 after 9 years (2024-2015))\n",
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"resi_sys1_deg = 1.1 #%/yr, corresponds to 20 yr life\n",
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"resi_sys1_life = 20 #years of life\n",
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"resi_sys1_life_repower = 9 #years of life but remove for repowering\n",
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"\n",
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"resi_sys2_size = 0.0073 #MW, 2nd system on roof\n",
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"resi_sys2_deg = 0.7 #%/yr, corresponds to 30 yr life\n",
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"resi_sys2_life = 30 #years of life"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "efedbc4b-0216-48aa-a884-dbc8ce255975",
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"metadata": {},
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"outputs": [],
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"source": [
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"#Residential case study\n",
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"sim1.createScenario(name='Resi_keep', massmodulefile=moduleFile) #create the scenario, name and mod file attach\n",
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"for mat in MATERIALS:\n",
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" materialfile = os.path.join(baselinesfolder, 'baseline_material_mass_'+str(mat)+'.csv')\n",
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" sim1.scenario['Resi_keep'].addMaterial(mat, massmatfile=materialfile) # add all materials listed in MATERIALS"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7be01ab2-6824-4687-a1b8-23b68dbeb4ac",
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"metadata": {},
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"outputs": [],
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"source": [
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"#Residential case study\n",
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"sim1.createScenario(name='Resi_repower', massmodulefile=moduleFile) #create the scenario, name and mod file attach\n",
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"for mat in MATERIALS:\n",
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" materialfile = os.path.join(baselinesfolder, 'baseline_material_mass_'+str(mat)+'.csv')\n",
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" sim1.scenario['Resi_repower'].addMaterial(mat, massmatfile=materialfile) # add all materials listed in MATERIALS"
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]
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},
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{
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"cell_type": "markdown",
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"id": "68bf3167-c4a5-4da3-91ed-57f0f9bacd5f",
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"metadata": {},
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"source": [
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"idx_temp = pd.RangeIndex(start=2024,stop=2051,step=1) #create the index\n",
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"CdTeRamp = pd.DataFrame(index=idx_temp, columns=['CdTe_deploy_[MWdc]'], dtype=float)\n",
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"CdTeRamp.loc[2024] = 14000\n",
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"CdTeRamp.loc[2030] = 50000#22000\n",
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"CdTeRamp_full = round(CdTeRamp.interpolate(),0)\n",
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"#CdTeRamp_full"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "61014a62-9b16-431d-9c5e-3aa2f19acef6",
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"metadata": {},
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"outputs": [],
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"source": [
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"#Modify the Scenario \n",
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"sim1.modifyScenario(scenarios='Resi_keep',stage='new_Installed_Capacity_[MW]', value=0)#, start_year=) #\n",
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"#sim1.modifyScenario(scenarios='NAME',stage='new_Installed_Capacity_[MW]', value=0.005, start_year=2015) #5kW system installed in 2015\n",
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"sim1.scenario['Resi_keep'].dataIn_m.loc[2015, 'new_Installed_Capacity_[MW]'] = resi_sys1_size\n",
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"sim1.scenario['Resi_keep'].dataIn_m.loc[2015, 'mod_degradation'] = resi_sys1_deg\n",
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"sim1.scenario['Resi_keep'].dataIn_m.loc[2015, 'mod_lifetime'] = resi_sys1_life\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5ac8fa8a-7c2b-40ee-8b64-5c1e34594d6f",
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"metadata": {},
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"outputs": [],
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"source": [
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"#Modify the Scenario \n",
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"sim1.modifyScenario(scenarios='Resi_repower',stage='new_Installed_Capacity_[MW]', value=0)#, start_year=) #\n",
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"#sim1.modifyScenario(scenarios='NAME',stage='new_Installed_Capacity_[MW]', value=0.005, start_year=2015) #5kW system installed in 2015\n",
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"sim1.scenario['Resi_repower'].dataIn_m.loc[2015, 'new_Installed_Capacity_[MW]'] = resi_sys1_size\n",
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"sim1.scenario['Resi_repower'].dataIn_m.loc[2015, 'mod_degradation'] = resi_sys1_deg\n",
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"sim1.scenario['Resi_repower'].dataIn_m.loc[2015, 'mod_lifetime'] = resi_sys1_life_repower\n",
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"\n",
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"sim1.scenario['Resi_repower'].dataIn_m.loc[2024, 'new_Installed_Capacity_[MW]'] = resi_sys2_size\n",
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"sim1.scenario['Resi_repower'].dataIn_m.loc[2024, 'mod_degradation'] = resi_sys2_deg\n",
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"sim1.scenario['Resi_repower'].dataIn_m.loc[2024, 'mod_lifetime'] = resi_sys2_life"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "6268306d-58bc-4065-9810-0871f6871744",
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"metadata": {},
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"outputs": [],
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"source": [
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"#do we also need a reuse scenario where both systems are used for full life? - wouldn't it just be additive?"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b229bce9-496d-4f55-b8a1-2fd1158b3a75",
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"metadata": {},
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"source": [
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"# Commercial Case Study\n",
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"This case study considers a set of commerical PV installations."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5601df4c-6556-4b71-8922-6a05dbe9ccc6",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "76aec89f-0650-43c9-94db-b3f70de82ef9",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "bf115fa7-ac29-41c2-bfcd-7b8dc1beb64b",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"id": "afcc89b5-fccf-4c63-91e7-194446218e18",
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"metadata": {},
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"source": [
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"# Utility Case Study\n",
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"This case study considers a set of utility scale PV installations."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3210d68d-f56b-4da3-b500-8073b707a2d5",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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