Merge remote-tracking branch 'origin/main'
# Conflicts: # costs/__main__.py
This commit is contained in:
commit
57ee5c9873
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@ -1,5 +0,0 @@
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"""
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Cost workflow initialization
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"""
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40
costs/__init__.py
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40
costs/__init__.py
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"""
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Cost workflow initialization
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"""
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import glob
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import os
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from pathlib import Path
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CLIMATE_REFERENCE_CITY = 'Montreal'
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WEATHER_FILE = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw'
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WEATHER_FORMAT = 'epw'
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CONSTRUCTION_FORMAT = 'nrcan'
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USAGE_FORMAT = 'comnet'
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ENERGY_SYSTEM_FORMAT = 'montreal_custom'
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ATTIC_HEATED_CASE = 0
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BASEMENT_HEATED_CASE = 1
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CURRENT_STATUS = 0
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SKIN_RETROFIT = 1
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SYSTEM_RETROFIT_AND_PV = 2
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SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV = 3
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NUMBER_OF_YEARS = 31
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CONSUMER_PRICE_INDEX = 0.04
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ELECTRICITY_PEAK_INDEX = 0.05
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ELECTRICITY_PRICE_INDEX = 0.05
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GAS_PRICE_INDEX = 0.05
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DISCOUNT_RATE = 0.03
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RETROFITTING_YEAR_CONSTRUCTION = 2020
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RETROFITTING_SCENARIOS = [
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CURRENT_STATUS,
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SKIN_RETROFIT,
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SYSTEM_RETROFIT_AND_PV,
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SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV
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]
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file_path = Path('./costs/data/selected_building_2864.geojson').resolve()
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tmp_folder = Path('./costs/tmp').resolve()
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out_path = Path('./costs/outputs').resolve()
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files = glob.glob(f'{out_path}/*')
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print('path', file_path)
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for file in files:
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if file != '.gitignore':
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os.remove(file)
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@ -5,8 +5,6 @@ Copyright © 2022 Project Author Pilar Monsalvete Alvarez de Uribarri pilar.mons
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Code contributor Oriol Gavalda Torrellas oriol.gavalda@concordia.ca
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"""
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import glob
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import os
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from pathlib import Path
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import numpy_financial as npf
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@ -25,6 +23,15 @@ from sra_engine import SraEngine
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from life_cycle_costs import LifeCycleCosts
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# import constants
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from costs import CLIMATE_REFERENCE_CITY, WEATHER_FILE, WEATHER_FORMAT, CONSTRUCTION_FORMAT, USAGE_FORMAT
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from costs import ENERGY_SYSTEM_FORMAT, ATTIC_HEATED_CASE, BASEMENT_HEATED_CASE, RETROFITTING_SCENARIOS, NUMBER_OF_YEARS
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from costs import CONSUMER_PRICE_INDEX, ELECTRICITY_PEAK_INDEX, ELECTRICITY_PRICE_INDEX, GAS_PRICE_INDEX, DISCOUNT_RATE
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from costs import SKIN_RETROFIT, SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV
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# import paths
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from costs import file_path, tmp_folder, out_path
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def _npv_from_list(npv_discount_rate, list_cashflow):
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lcc_value = npf.npv(npv_discount_rate, list_cashflow)
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@ -39,32 +46,6 @@ def _search_archetype(costs_catalog, building_function):
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raise KeyError('archetype not found')
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file_path = (Path(__file__).parent.parent / 'costs_workflow' / 'input_files' / 'selected_building_2864.geojson')
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climate_reference_city = 'Montreal'
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weather_file = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw'
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weather_format = 'epw'
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construction_format = 'nrcan'
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usage_format = 'comnet'
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energy_systems_format = 'montreal_custom'
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attic_heated_case = 0
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basement_heated_case = 1
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tmp_folder = (Path(__file__).parent.parent / 'monthly_energy_balance_workflow' / 'tmp')
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out_path = (Path(__file__).parent.parent / 'costs_workflow' / 'out_files')
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files = glob.glob(f'{out_path}/*')
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for file in files:
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if file != '.gitignore':
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os.remove(file)
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number_of_years = 31
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consumer_price_index = 0.04
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electricity_peak_index = 0.05
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electricity_price_index = 0.05
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gas_price_index = 0.05
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discount_rate = 0.03
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retrofitting_year_of_construction = 2020
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retrofitting_scenarios = [0, 1, 2, 3]
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life_cycle_results = pd.DataFrame()
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print('[city creation start]')
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city = GeometryFactory('geojson',
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@ -73,47 +54,46 @@ city = GeometryFactory('geojson',
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year_of_construction_field='ANNEE_CONS',
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function_field='CODE_UTILI',
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function_to_hub=Dictionaries().montreal_function_to_hub_function).city
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city.climate_reference_city = climate_reference_city
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city.climate_file = (tmp_folder / f'{climate_reference_city}.cli').resolve()
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city.climate_reference_city = CLIMATE_REFERENCE_CITY
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city.climate_file = (tmp_folder / f'{CLIMATE_REFERENCE_CITY}.cli').resolve()
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print(f'city created from {file_path}')
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WeatherFactory(weather_format, city, file_name=weather_file).enrich()
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WeatherFactory(WEATHER_FORMAT, city, file_name=WEATHER_FILE).enrich()
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print('enrich weather... done')
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ConstructionFactory(construction_format, city).enrich()
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ConstructionFactory(CONSTRUCTION_FORMAT, city).enrich()
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print('enrich constructions... done')
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UsageFactory(usage_format, city).enrich()
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UsageFactory(USAGE_FORMAT, city).enrich()
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print('enrich usage... done')
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for building in city.buildings:
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building.energy_systems_archetype_name = 'system 1 gas'
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EnergySystemsFactory(energy_systems_format, city).enrich()
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EnergySystemsFactory(ENERGY_SYSTEM_FORMAT, city).enrich()
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print('enrich systems... done')
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print('exporting:')
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catalog = CostCatalogFactory('montreal_custom').catalog
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print('costs catalog access... done')
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sra_file = (tmp_folder / f'{city.name}_sra.xml').resolve()
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SraEngine(city, sra_file, tmp_folder, weather_file)
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SraEngine(city, sra_file, tmp_folder, WEATHER_FILE)
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print(' sra processed...')
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for building in city.buildings:
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building.attic_heated = attic_heated_case
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building.basement_heated = basement_heated_case
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building.attic_heated = ATTIC_HEATED_CASE
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building.basement_heated = BASEMENT_HEATED_CASE
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for retrofitting_scenario in retrofitting_scenarios:
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for retrofitting_scenario in RETROFITTING_SCENARIOS:
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if retrofitting_scenario == 1 or retrofitting_scenario == 3:
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if retrofitting_scenario in (SKIN_RETROFIT, SYSTEM_RETROFIT_AND_PV):
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for building in city.buildings:
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building.year_of_construction = retrofitting_year_of_construction
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ConstructionFactory(construction_format, city).enrich()
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ConstructionFactory(CONSTRUCTION_FORMAT, city).enrich()
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print('enrich retrofitted constructions... done')
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if retrofitting_scenario == 2 or retrofitting_scenario == 3:
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if retrofitting_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
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for building in city.buildings:
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building.energy_systems_archetype_name = 'system 6 electricity pv'
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EnergySystemsFactory(energy_systems_format, city).enrich()
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EnergySystemsFactory(ENERGY_SYSTEM_FORMAT, city).enrich()
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print('enrich systems... done')
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MonthlyEnergyBalanceEngine(city, tmp_folder)
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lightingdemand = city.buildings[0].lighting_electrical_demand[cte.YEAR]['insel meb'] / 1000
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print(f'lighting first {lightingdemand}')
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EnergySystemsSizing(city).enrich()
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print(f'beginning costing scenario {retrofitting_scenario} systems... done')
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@ -124,13 +104,12 @@ for retrofitting_scenario in retrofitting_scenarios:
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archetype = _search_archetype(catalog, function)
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print('lcc for first building started')
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if "gas" in building.energy_systems_archetype_name:
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fuel_type = 1
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FUEL_TYPE = 1
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else:
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fuel_type = 0
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FUEL_TYPE = 0
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print(f'fuel type {fuel_type}')
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lcc = LifeCycleCosts(building, archetype, number_of_years, consumer_price_index, electricity_peak_index,
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electricity_price_index, gas_price_index, discount_rate, retrofitting_scenario, fuel_type)
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lcc = LifeCycleCosts(building, archetype, NUMBER_OF_YEARS, CONSUMER_PRICE_INDEX, ELECTRICITY_PEAK_INDEX,
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ELECTRICITY_PRICE_INDEX, GAS_PRICE_INDEX, DISCOUNT_RATE, retrofitting_scenario, FUEL_TYPE)
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global_capital_costs, global_capital_incomes = lcc.calculate_capital_costs()
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global_end_of_life_costs = lcc.calculate_end_of_life_costs()
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global_operational_costs = lcc.calculate_total_operational_costs()
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@ -176,13 +155,13 @@ for retrofitting_scenario in retrofitting_scenarios:
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df_capital_incomes = global_capital_incomes['Subsidies construction'] + global_capital_incomes['Subsidies HVAC'] + \
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global_capital_incomes['Subsidies PV']
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life_cycle_costs_capital_skin = _npv_from_list(discount_rate, df_capital_costs_skin.values.tolist())
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life_cycle_costs_capital_systems = _npv_from_list(discount_rate, df_capital_costs_systems.values.tolist())
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life_cycle_costs_end_of_life_costs = _npv_from_list(discount_rate, df_end_of_life_costs.values.tolist())
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life_cycle_operational_costs = _npv_from_list(discount_rate, df_operational_costs.values.tolist())
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life_cycle_maintenance_costs = _npv_from_list(discount_rate, df_maintenance_costs.values.tolist())
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life_cycle_operational_incomes = _npv_from_list(discount_rate, df_operational_incomes.values.tolist())
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life_cycle_capital_incomes = _npv_from_list(discount_rate, df_capital_incomes.values.tolist())
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life_cycle_costs_capital_skin = _npv_from_list(DISCOUNT_RATE, df_capital_costs_skin.values.tolist())
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life_cycle_costs_capital_systems = _npv_from_list(DISCOUNT_RATE, df_capital_costs_systems.values.tolist())
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life_cycle_costs_end_of_life_costs = _npv_from_list(DISCOUNT_RATE, df_end_of_life_costs.values.tolist())
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life_cycle_operational_costs = _npv_from_list(DISCOUNT_RATE, df_operational_costs.values.tolist())
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life_cycle_maintenance_costs = _npv_from_list(DISCOUNT_RATE, df_maintenance_costs.values.tolist())
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life_cycle_operational_incomes = _npv_from_list(DISCOUNT_RATE, df_operational_incomes.values.tolist())
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life_cycle_capital_incomes = _npv_from_list(DISCOUNT_RATE, df_capital_incomes.values.tolist())
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life_cycle_costs = (
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life_cycle_costs_capital_skin +
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@ -202,10 +181,10 @@ for retrofitting_scenario in retrofitting_scenarios:
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life_cycle_operational_incomes,
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life_cycle_capital_incomes]
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life_cycle_results.index = [f'total_capital_costs_skin',
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f'total_capital_costs_systems', f'end_of_life_costs',
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f'total_operational_costs', f'total_maintenance_costs',
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f'operational_incomes', f'capital_incomes']
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life_cycle_results.index = ['total_capital_costs_skin',
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f'total_capital_costs_systems','end_of_life_costs',
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'total_operational_costs', 'total_maintenance_costs',
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'operational_incomes', 'capital_incomes']
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print(life_cycle_results)
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print(f'Scenario {retrofitting_scenario} {life_cycle_costs}')
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4
costs/data/.gitignore
vendored
Normal file
4
costs/data/.gitignore
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Normal file
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# Ignore everything in this directory
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*
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# Except this file
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!.gitignore
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@ -1,5 +1,5 @@
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"""
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LifeCycleCosts calculates the life cycle costs of one building
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LifeCycleCosts module calculates the life cycle costs of one building
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2022 Project Author Pilar Monsalvete Alvarez de Uribarri pilar_monsalvete@concordia.ca
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Code contributor Oriol Gavalda Torrellas oriol.gavalda@concordia.ca
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@ -10,14 +10,13 @@ import math
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import pandas as pd
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import hub.helpers.constants as cte
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from costs import SKIN_RETROFIT, SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV
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class LifeCycleCosts:
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CURRENT_STATUS = 0
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SKIN_RETROFIT = 1
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SYSTEM_RETROFIT_AND_PV = 2
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SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV = 3
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"""
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Life cycle cost class
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"""
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def __init__(self, building, archetype, number_of_years, consumer_price_index, electricity_peak_index,
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electricity_price_index, gas_price_index, discount_rate,
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@ -66,6 +65,10 @@ class LifeCycleCosts:
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self._yearly_capital_incomes = pd.DataFrame(index=rng, columns=['Subsidies construction',
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'Subsidies HVAC', 'Subsidies PV'], dtype='float')
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def calculate_capital_costs(self):
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"""
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Calculate capital cost
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:return: pd.DataFrame
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"""
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building = self._building
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archetype = self._archetype
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@ -123,7 +126,7 @@ class LifeCycleCosts:
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self._yearly_capital_incomes.loc[0, 'Subsidies PV'] = 0
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self._yearly_capital_costs.fillna(0, inplace=True)
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if self._retrofitting_scenario in (self.SKIN_RETROFIT, self.SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
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if self._retrofitting_scenario in (SKIN_RETROFIT, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
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chapter = chapters.chapter('B_shell')
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capital_cost_opaque = surface_opaque * chapter.item('B2010_opaque_walls').refurbishment[0]
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capital_cost_transparent = surface_transparent * chapter.item('B2020_transparent').refurbishment[0]
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@ -137,7 +140,7 @@ class LifeCycleCosts:
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self._yearly_capital_costs.loc[0]['B10_superstructure'] = capital_cost_ground
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if self._retrofitting_scenario in (self.SYSTEM_RETROFIT_AND_PV, self.SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
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if self._retrofitting_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
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chapter = chapters.chapter('D_services')
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capital_cost_pv = surface_pv * chapter.item('D301010_photovoltaic_system').initial_investment[0]
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self._yearly_capital_costs.loc[0]['D301010_photovoltaic_system'] = capital_cost_pv
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@ -183,7 +186,7 @@ class LifeCycleCosts:
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* costs_increase
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self._yearly_capital_costs.loc[year, 'D5020_lighting_and_branch_wiring'] = reposition_cost_lighting
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if self._retrofitting_scenario == 2 or self._retrofitting_scenario == 3:
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if self._retrofitting_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
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if (year % chapter.item('D301010_photovoltaic_system').lifetime) == 0:
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self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] = surface_pv \
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* chapter.item(
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@ -200,6 +203,10 @@ class LifeCycleCosts:
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return self._yearly_capital_costs, self._yearly_capital_incomes
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def calculate_end_of_life_costs(self):
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"""
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Calculate end of life costs
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:return: pd.DataFrame
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"""
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archetype = self._archetype
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total_floor_area = self._total_floor_area
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@ -213,6 +220,10 @@ class LifeCycleCosts:
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return self._yearly_end_of_life_costs
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def calculate_total_operational_costs(self):
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"""
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Calculate total operational costs
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:return: pd.DataFrame
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"""
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building = self._building
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archetype = self._archetype
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total_floor_area = self._total_floor_area
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|
@ -273,6 +284,10 @@ class LifeCycleCosts:
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return self._yearly_operational_costs
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def calculate_total_operational_incomes(self):
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"""
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Calculate total operational incomes
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:return: pd.DataFrame
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"""
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building = self._building
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archetype = self._archetype
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if cte.YEAR not in building.onsite_electrical_production:
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@ -294,6 +309,10 @@ class LifeCycleCosts:
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return self._yearly_operational_incomes
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def calculate_total_maintenance_costs(self):
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"""
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Calculate total maintenance costs
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:return: pd.DataFrame
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"""
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building = self._building
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archetype = self._archetype
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# todo: change area pv when the variable exists
|
4
costs/outputs/.gitignore
vendored
Normal file
4
costs/outputs/.gitignore
vendored
Normal file
|
@ -0,0 +1,4 @@
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|||
# Ignore everything in this directory
|
||||
*
|
||||
# Except this file
|
||||
!.gitignore
|
4
costs/tmp/.gitignore
vendored
Normal file
4
costs/tmp/.gitignore
vendored
Normal file
|
@ -0,0 +1,4 @@
|
|||
# Ignore everything in this directory
|
||||
*
|
||||
# Except this file
|
||||
!.gitignore
|
1
input_files/.gitignore
vendored
1
input_files/.gitignore
vendored
|
@ -1 +0,0 @@
|
|||
/input_files/
|
Loading…
Reference in New Issue
Block a user