2022-11-02 17:28:51 -04:00
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"""
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2023-07-14 15:37:12 -04:00
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Capital costs module
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2022-11-02 17:28:51 -04:00
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"""
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2023-07-13 13:06:23 -04:00
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import math
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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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import hub.helpers.constants as cte
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from costs.configuration import Configuration
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from costs.constants import SKIN_RETROFIT, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV, SYSTEM_RETROFIT_AND_PV
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from costs.cost_base import CostBase
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class CapitalCosts(CostBase):
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"""
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Capital costs class
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2023-05-31 12:20:03 -04:00
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"""
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2023-07-14 15:37:12 -04:00
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def __init__(self, building: Building, configuration: Configuration):
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super().__init__(building, configuration)
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self._yearly_capital_costs = pd.DataFrame(
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index=self._rng,
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columns=[
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'B2010_opaque_walls',
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'B2020_transparent',
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'B3010_opaque_roof',
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'B10_superstructure',
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'D301010_photovoltaic_system',
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'D3020_heat_generating_systems',
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'D3030_cooling_generation_systems',
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'D3040_distribution_systems',
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'D3080_other_hvac_ahu',
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'D5020_lighting_and_branch_wiring'
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],
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dtype='float'
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)
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self._yearly_capital_costs.loc[0, 'B2010_opaque_walls'] = 0
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self._yearly_capital_costs.loc[0]['B2020_transparent'] = 0
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self._yearly_capital_costs.loc[0, 'B3010_opaque_roof'] = 0
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self._yearly_capital_costs.loc[0]['B10_superstructure'] = 0
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self._yearly_capital_costs.loc[0, 'D3020_heat_generating_systems'] = 0
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self._yearly_capital_costs.loc[0, 'D3030_cooling_generation_systems'] = 0
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self._yearly_capital_costs.loc[0, 'D3040_distribution_systems'] = 0
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self._yearly_capital_costs.loc[0, 'D3080_other_hvac_ahu'] = 0
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self._yearly_capital_costs.loc[0, 'D5020_lighting_and_branch_wiring'] = 0
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self._yearly_capital_incomes = pd.DataFrame(
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index=self._rng,
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columns=[
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'Subsidies construction',
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'Subsidies HVAC',
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'Subsidies PV'
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],
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dtype='float'
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)
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self._yearly_capital_incomes.loc[0, 'Subsidies construction'] = 0
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self._yearly_capital_incomes.loc[0, 'Subsidies HVAC'] = 0
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self._yearly_capital_incomes.loc[0, 'Subsidies PV'] = 0
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def calculate(self) -> tuple[pd.DataFrame, pd.DataFrame]:
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2023-05-31 12:20:03 -04:00
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"""
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Calculate capital cost
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2023-07-14 15:37:12 -04:00
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:return: pd.DataFrame, pd.DataFrame
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2023-05-31 12:20:03 -04:00
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"""
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2023-04-25 11:49:17 -04:00
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surface_opaque = 0
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surface_transparent = 0
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2023-04-25 18:33:09 -04:00
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surface_roof = 0
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surface_ground = 0
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2023-05-31 12:26:01 -04:00
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capital_cost_pv = 0
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capital_cost_opaque = 0
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capital_cost_ground = 0
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capital_cost_transparent = 0
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capital_cost_roof = 0
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capital_cost_heating_equipment = 0
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capital_cost_cooling_equipment = 0
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capital_cost_distribution_equipment = 0
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capital_cost_other_hvac_ahu = 0
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capital_cost_lighting = 0
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2023-07-13 11:22:13 -04:00
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for internal_zone in self._building.internal_zones:
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2023-05-30 14:42:49 -04:00
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for thermal_zone in internal_zone.thermal_zones:
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for thermal_boundary in thermal_zone.thermal_boundaries:
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if thermal_boundary.type == 'Ground':
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surface_ground += thermal_boundary.opaque_area
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elif thermal_boundary.type == 'Roof':
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surface_roof += thermal_boundary.opaque_area
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elif thermal_boundary.type == 'Wall':
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surface_opaque += thermal_boundary.opaque_area * (1 - thermal_boundary.window_ratio)
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surface_transparent += thermal_boundary.opaque_area * thermal_boundary.window_ratio
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2023-04-25 11:49:17 -04:00
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2023-07-13 11:22:13 -04:00
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peak_heating = self._building.heating_peak_load[cte.YEAR].values[0] / 1000
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peak_cooling = self._building.cooling_peak_load[cte.YEAR].values[0] / 1000
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2023-05-30 15:08:11 -04:00
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2023-07-13 11:22:13 -04:00
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surface_pv = 0
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for roof in self._building.roofs:
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surface_pv += roof.solid_polygon.area * roof.solar_collectors_area_reduction_factor
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self._yearly_capital_costs.fillna(0, inplace=True)
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2023-07-14 16:39:47 -04:00
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own_capital = 1 - self._configuration.percentage_credit
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2023-07-14 15:37:12 -04:00
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if self._configuration.retrofit_scenario in (SKIN_RETROFIT, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
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2023-07-13 13:06:23 -04:00
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chapter = self._capital_costs_chapter.chapter('B_shell')
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2023-04-25 11:49:17 -04:00
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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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2023-04-25 18:33:09 -04:00
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capital_cost_roof = surface_roof * chapter.item('B3010_opaque_roof').refurbishment[0]
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capital_cost_ground = surface_ground * chapter.item('B10_superstructure').refurbishment[0]
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2023-07-13 13:06:23 -04:00
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self._yearly_capital_costs.loc[0, 'B2010_opaque_walls'] = capital_cost_opaque * own_capital
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self._yearly_capital_costs.loc[0]['B2020_transparent'] = capital_cost_transparent * own_capital
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self._yearly_capital_costs.loc[0, 'B3010_opaque_roof'] = capital_cost_roof * own_capital
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self._yearly_capital_costs.loc[0]['B10_superstructure'] = capital_cost_ground * own_capital
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2023-05-31 12:26:01 -04:00
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2023-07-14 15:37:12 -04:00
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if self._configuration.retrofit_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
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2023-07-13 13:06:23 -04:00
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chapter = self._capital_costs_chapter.chapter('D_services')
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2023-05-27 09:32:42 -04:00
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capital_cost_pv = surface_pv * chapter.item('D301010_photovoltaic_system').initial_investment[0]
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2023-07-13 13:06:23 -04:00
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capital_cost_heating_equipment = peak_heating * chapter.item('D3020_heat_generating_systems').initial_investment[0]
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capital_cost_cooling_equipment = peak_cooling * chapter.item('D3030_cooling_generation_systems').initial_investment[0]
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capital_cost_distribution_equipment = peak_cooling * chapter.item('D3040_distribution_systems').initial_investment[0]
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capital_cost_other_hvac_ahu = peak_cooling * chapter.item('D3080_other_hvac_ahu').initial_investment[0]
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capital_cost_lighting = self._total_floor_area * chapter.item('D5020_lighting_and_branch_wiring').initial_investment[0]
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2023-05-27 09:32:42 -04:00
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self._yearly_capital_costs.loc[0]['D301010_photovoltaic_system'] = capital_cost_pv
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2023-07-13 13:06:23 -04:00
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self._yearly_capital_costs.loc[0, 'D3020_heat_generating_systems'] = capital_cost_heating_equipment * own_capital
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self._yearly_capital_costs.loc[0, 'D3030_cooling_generation_systems'] = capital_cost_cooling_equipment * own_capital
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self._yearly_capital_costs.loc[0, 'D3040_distribution_systems'] = capital_cost_distribution_equipment * own_capital
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self._yearly_capital_costs.loc[0, 'D3080_other_hvac_ahu'] = capital_cost_other_hvac_ahu * own_capital
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self._yearly_capital_costs.loc[0, 'D5020_lighting_and_branch_wiring'] = capital_cost_lighting * own_capital
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for year in range(1, self._configuration.number_of_years):
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chapter = self._capital_costs_chapter.chapter('D_services')
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costs_increase = math.pow(1 + self._configuration.consumer_price_index, year)
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self._yearly_capital_costs.loc[year, 'B2010_opaque_walls'] = (
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-npf.pmt(
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self._configuration.interest_rate,
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self._configuration.credit_years,
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capital_cost_opaque * self._configuration.percentage_credit
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)
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2023-05-30 15:08:11 -04:00
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)
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2023-07-13 13:06:23 -04:00
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self._yearly_capital_costs.loc[year, 'B2020_transparent'] = (
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-npf.pmt(
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self._configuration.interest_rate,
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self._configuration.credit_years,
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capital_cost_transparent * self._configuration.percentage_credit
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)
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2023-05-30 15:08:11 -04:00
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)
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2023-07-13 13:06:23 -04:00
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self._yearly_capital_costs.loc[year, 'B3010_opaque_roof'] = (
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-npf.pmt(
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self._configuration.interest_rate,
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2023-07-14 15:37:12 -04:00
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self._configuration.credit_years,
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capital_cost_roof * self._configuration.percentage_credit
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2023-07-13 13:06:23 -04:00
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)
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2023-05-30 15:08:11 -04:00
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)
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2023-07-13 13:06:23 -04:00
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self._yearly_capital_costs.loc[year, 'B10_superstructure'] = (
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-npf.pmt(
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self._configuration.interest_rate,
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self._configuration.credit_years,
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capital_cost_ground * self._configuration.percentage_credit
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)
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)
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2023-07-14 15:37:12 -04:00
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self._yearly_capital_costs.loc[year, 'D3020_heat_generating_systems'] = (
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-npf.pmt(
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self._configuration.interest_rate,
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self._configuration.credit_years,
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capital_cost_heating_equipment * self._configuration.percentage_credit
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)
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)
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self._yearly_capital_costs.loc[year, 'D3030_cooling_generation_systems'] = (
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-npf.pmt(
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self._configuration.interest_rate,
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self._configuration.credit_years,
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capital_cost_cooling_equipment * self._configuration.percentage_credit
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)
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)
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self._yearly_capital_costs.loc[year, 'D3040_distribution_systems'] = (
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-npf.pmt(
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self._configuration.interest_rate,
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self._configuration.credit_years,
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capital_cost_distribution_equipment * self._configuration.percentage_credit
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)
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)
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self._yearly_capital_costs.loc[year, 'D3080_other_hvac_ahu'] = (
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-npf.pmt(
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self._configuration.interest_rate,
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self._configuration.credit_years,
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capital_cost_other_hvac_ahu * self._configuration.percentage_credit
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)
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)
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self._yearly_capital_costs.loc[year, 'D5020_lighting_and_branch_wiring'] = (
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-npf.pmt(
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self._configuration.interest_rate,
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self._configuration.credit_years,
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capital_cost_lighting * self._configuration.percentage_credit
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)
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)
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2023-04-25 21:00:19 -04:00
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if (year % chapter.item('D3020_heat_generating_systems').lifetime) == 0:
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2023-07-14 15:37:12 -04:00
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reposition_cost_heating_equipment = (
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peak_heating * chapter.item('D3020_heat_generating_systems').reposition[0] * costs_increase
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)
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2023-06-01 08:41:10 -04:00
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self._yearly_capital_costs.loc[year, 'D3020_heat_generating_systems'] += reposition_cost_heating_equipment
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2023-05-27 09:32:42 -04:00
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2023-04-25 21:00:19 -04:00
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if (year % chapter.item('D3030_cooling_generation_systems').lifetime) == 0:
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2023-07-14 15:37:12 -04:00
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reposition_cost_cooling_equipment = (
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peak_cooling * chapter.item('D3030_cooling_generation_systems').reposition[0] * costs_increase
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)
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2023-06-01 08:41:10 -04:00
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self._yearly_capital_costs.loc[year, 'D3030_cooling_generation_systems'] += reposition_cost_cooling_equipment
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2023-05-27 09:32:42 -04:00
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2023-04-25 21:00:19 -04:00
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if (year % chapter.item('D3080_other_hvac_ahu').lifetime) == 0:
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2023-07-14 15:37:12 -04:00
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reposition_cost_hvac_ahu = (
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peak_cooling * chapter.item('D3080_other_hvac_ahu').reposition[0] * costs_increase
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)
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2023-05-30 14:42:49 -04:00
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self._yearly_capital_costs.loc[year, 'D3080_other_hvac_ahu'] = reposition_cost_hvac_ahu
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2023-05-27 09:32:42 -04:00
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2023-04-25 21:00:19 -04:00
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if (year % chapter.item('D5020_lighting_and_branch_wiring').lifetime) == 0:
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2023-07-14 15:37:12 -04:00
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reposition_cost_lighting = (
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self._total_floor_area * chapter.item('D5020_lighting_and_branch_wiring').reposition[0] * costs_increase
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)
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2023-06-01 08:41:10 -04:00
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self._yearly_capital_costs.loc[year, 'D5020_lighting_and_branch_wiring'] += reposition_cost_lighting
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2023-05-27 09:32:42 -04:00
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2023-07-14 15:37:12 -04:00
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if self._configuration.retrofit_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
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2023-05-29 08:06:58 -04:00
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if (year % chapter.item('D301010_photovoltaic_system').lifetime) == 0:
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2023-07-14 15:37:12 -04:00
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self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] += (
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surface_pv * chapter.item('D301010_photovoltaic_system').reposition[0] * costs_increase
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)
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2023-05-31 12:26:01 -04:00
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capital_cost_skin = capital_cost_opaque + capital_cost_ground + capital_cost_transparent + capital_cost_roof
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2023-05-31 12:53:59 -04:00
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capital_cost_hvac = (
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capital_cost_heating_equipment +
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capital_cost_cooling_equipment +
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capital_cost_distribution_equipment +
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capital_cost_other_hvac_ahu + capital_cost_lighting
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)
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2023-05-31 12:26:01 -04:00
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2023-05-31 12:53:59 -04:00
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self._yearly_capital_incomes.loc[0, 'Subsidies construction'] = (
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2023-07-14 15:37:12 -04:00
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capital_cost_skin * self._archetype.income.construction_subsidy/100
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2023-05-31 12:53:59 -04:00
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)
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2023-07-14 15:37:12 -04:00
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self._yearly_capital_incomes.loc[0, 'Subsidies HVAC'] = capital_cost_hvac * self._archetype.income.hvac_subsidy/100
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self._yearly_capital_incomes.loc[0, 'Subsidies PV'] = capital_cost_pv * self._archetype.income.photovoltaic_subsidy/100
|
2023-05-31 12:26:01 -04:00
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self._yearly_capital_incomes.fillna(0, inplace=True)
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return self._yearly_capital_costs, self._yearly_capital_incomes
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