171 lines
7.2 KiB
Python
171 lines
7.2 KiB
Python
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"""
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Cost module
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2023 Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
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Code contributor 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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"""
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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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from hub.helpers.dictionaries import Dictionaries
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from costing_package.configuration import Configuration
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from costing_package.capital_costs import CapitalCosts
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from costing_package.end_of_life_costs import EndOfLifeCosts
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from costing_package.total_maintenance_costs import TotalMaintenanceCosts
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from costing_package.total_operational_costs import TotalOperationalCosts
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from costing_package.total_operational_incomes import TotalOperationalIncomes
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from costing_package.constants import CURRENT_STATUS
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import hub.helpers.constants as cte
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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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fuel_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_new',
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retrofit_scenario=CURRENT_STATUS,
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dictionary=None,
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fuel_tariffs=None):
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if fuel_tariffs is None:
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fuel_tariffs = ['Electricity-D', 'Gas-Energir']
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if dictionary is None:
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dictionary = Dictionaries().hub_function_to_montreal_custom_costs_function
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self._building = building
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fuel_type = self._building.energy_consumption_breakdown.keys()
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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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fuel_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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fuel_tariffs)
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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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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['B1010_superstructure']
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)
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df_capital_costs_systems = (
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global_capital_costs['D3020_simultaneous_heat_and_cooling_generating_systems'] +
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global_capital_costs['D3030_heating_systems'] +
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global_capital_costs['D3040_cooling_systems'] +
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global_capital_costs['D3050_distribution_systems'] +
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global_capital_costs['D3060_other_hvac_ahu'] +
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global_capital_costs['D3070_storage_systems'] +
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global_capital_costs['D40_dhw'] +
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global_capital_costs['D2010_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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operational_costs_list = [
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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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]
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additional_costs = [
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global_operational_costs[f'Fixed Costs {fuel}'] for fuel in
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self._building.energy_consumption_breakdown.keys() if fuel != cte.ELECTRICITY
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] + [
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global_operational_costs[f'Variable Costs {fuel}'] for fuel in
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self._building.energy_consumption_breakdown.keys() if fuel != cte.ELECTRICITY
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]
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df_operational_costs = sum(operational_costs_list + additional_costs)
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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)
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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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global_capital_costs,
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global_capital_incomes,
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global_end_of_life_costs,
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global_operational_costs,
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global_maintenance_costs,
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global_operational_incomes
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]
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results.index = [
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'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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'global_capital_costs',
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'global_capital_incomes',
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'global_end_of_life_costs',
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'global_operational_costs',
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'global_maintenance_costs',
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'global_operational_incomes'
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]
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return results
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