2023-06-01 14:07:41 -04:00
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"""
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Cost module
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"""
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import hub.helpers.dictionaries
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import pandas as pd
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import numpy_financial as npf
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from hub.city_model_structure.building import Building
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2023-07-17 14:35:12 -04:00
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from costs.configuration import Configuration
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from costs import CapitalCosts, EndOfLifeCosts, TotalMaintenanceCosts, TotalOperationalCosts, TotalOperationalIncomes
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from costs.constants import CURRENT_STATUS
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class Cost:
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"""
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Cost class
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"""
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def __init__(self,
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building: Building,
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number_of_years=31,
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percentage_credit=0,
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interest_rate=0.04,
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credit_years=15,
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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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factories_handler='montreal_custom',
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retrofit_scenario=CURRENT_STATUS,
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dictionary=hub.helpers.dictionaries.Dictionaries().hub_function_to_montreal_custom_costs_function):
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self._building = building
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fuel_type = 0
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if "gas" in building.energy_systems_archetype_name:
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fuel_type = 1
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self._configuration = Configuration(number_of_years,
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percentage_credit,
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interest_rate, credit_years,
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consumer_price_index,
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electricity_peak_index,
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electricity_price_index,
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gas_price_index,
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discount_rate,
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retrofitting_year_construction,
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factories_handler,
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retrofit_scenario,
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fuel_type,
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dictionary)
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2023-07-14 16:39:47 -04:00
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@property
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def building(self) -> Building:
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"""
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Get current building.
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"""
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return self._building
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@building.setter
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def building(self, value: Building):
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"""
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Set current building.
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"""
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self._building = value
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def _npv_from_list(self, list_cashflow):
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return npf.npv(self._configuration.discount_rate, list_cashflow)
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@property
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def life_cycle(self) -> pd.DataFrame:
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"""
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Get complete life cycle costs
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:return: DataFrame
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"""
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results = pd.DataFrame()
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global_capital_costs, global_capital_incomes = CapitalCosts(self._building, self._configuration).calculate()
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global_end_of_life_costs = EndOfLifeCosts(self._building, self._configuration).calculate()
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global_operational_costs = TotalOperationalCosts(self._building, self._configuration).calculate()
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global_maintenance_costs = TotalMaintenanceCosts(self._building, self._configuration).calculate()
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global_operational_incomes = TotalOperationalIncomes(self._building, self._configuration).calculate()
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df_capital_costs_skin = (
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global_capital_costs['B2010_opaque_walls'] +
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global_capital_costs['B2020_transparent'] +
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global_capital_costs['B3010_opaque_roof'] +
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global_capital_costs['B10_superstructure']
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)
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df_capital_costs_systems = (
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global_capital_costs['D3020_heat_generating_systems'] +
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global_capital_costs['D3030_cooling_generation_systems'] +
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global_capital_costs['D3080_other_hvac_ahu'] +
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global_capital_costs['D5020_lighting_and_branch_wiring'] +
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global_capital_costs['D301010_photovoltaic_system']
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)
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df_end_of_life_costs = global_end_of_life_costs['End_of_life_costs']
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df_operational_costs = (
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global_operational_costs['Fixed_costs_electricity_peak'] +
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global_operational_costs['Fixed_costs_electricity_monthly'] +
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global_operational_costs['Fixed_costs_electricity_peak'] +
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global_operational_costs['Fixed_costs_electricity_monthly'] +
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global_operational_costs['Variable_costs_electricity'] +
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global_operational_costs['Fixed_costs_gas'] +
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global_operational_costs['Variable_costs_gas']
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)
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df_maintenance_costs = (
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global_maintenance_costs['Heating_maintenance'] +
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global_maintenance_costs['Cooling_maintenance'] +
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global_maintenance_costs['PV_maintenance']
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)
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df_operational_incomes = global_operational_incomes['Incomes electricity']
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df_capital_incomes = (
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global_capital_incomes['Subsidies construction'] +
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global_capital_incomes['Subsidies HVAC'] +
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global_capital_incomes['Subsidies PV']
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)
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life_cycle_costs_capital_skin = self._npv_from_list(df_capital_costs_skin.values.tolist())
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life_cycle_costs_capital_systems = self._npv_from_list(df_capital_costs_systems.values.tolist())
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life_cycle_costs_end_of_life_costs = self._npv_from_list(df_end_of_life_costs.values.tolist())
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life_cycle_operational_costs = self._npv_from_list(df_operational_costs.values.tolist())
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life_cycle_maintenance_costs = self._npv_from_list(df_maintenance_costs.values.tolist())
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life_cycle_operational_incomes = self._npv_from_list(df_operational_incomes.values.tolist())
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life_cycle_capital_incomes = self._npv_from_list(df_capital_incomes.values.tolist())
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results[f'Scenario {self._configuration.retrofit_scenario}'] = [
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life_cycle_costs_capital_skin,
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life_cycle_costs_capital_systems,
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life_cycle_costs_end_of_life_costs,
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life_cycle_operational_costs,
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life_cycle_maintenance_costs,
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life_cycle_operational_incomes,
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life_cycle_capital_incomes
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]
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results.index = ['total_capital_costs_skin',
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'total_capital_costs_systems',
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'end_of_life_costs',
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'total_operational_costs',
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'total_maintenance_costs',
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'operational_incomes',
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'capital_incomes']
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return results
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