239 lines
13 KiB
Python
239 lines
13 KiB
Python
"""
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LifeCycleCosts 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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Project contributor © 2023 Author Oriol Gavaldà Torrellas oriol.gavalda@concordia.ca
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"""
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import math
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import pandas as pd
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import numpy as np
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from datetime import date
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import hub.helpers.constants as cte
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class LifeCycleCosts:
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def __init__(self, building, archetype, number_of_years, consumer_price_index, discount_rate,
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retrofitting_scenario, heating_scop, cooling_seer, peak_electricity_demand, factor_pv,factor_peak_lights):
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self._building = building
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self._number_of_years = number_of_years
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self._consumer_price_index = consumer_price_index
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self._discount_rate = discount_rate
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self._archetype = archetype
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self._end_of_life_cost = 0
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self._capital_costs_at_year_0 = 0
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self._items = 0
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self._fuels = 0
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self._concepts = 0
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self._retrofitting_scenario = retrofitting_scenario
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self._total_floor_area = 0
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for internal_zone in building.internal_zones:
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for thermal_zone in internal_zone.thermal_zones:
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self._total_floor_area += thermal_zone.total_floor_area
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self._heating_scop = heating_scop
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self._cooling_seer = cooling_seer
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self._peak_electricity_demand = peak_electricity_demand
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self._factor_pv = factor_pv
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self._peak_lights = factor_peak_lights
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#todo: revise if it works
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rng = range(40)
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self._yearly_capital_costs = pd.DataFrame(index=rng , columns=['B2010_opaque_walls', 'B2020_transparent',
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'B3010_opaque_roof','B10_superstructure',
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'D301010_photovoltaic_system','D3020_heat_generating_systems',
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'D3030_cooling_generation_systems','D3040_distribution_systems',
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'D3080_other_hvac_ahu','D5020_lighting_and_branch_wiring',
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'D_services'], dtype='float')
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self._yearly_capital_costs.replace(np.nan,0)
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def calculate_capital_costs(self):
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building = self._building
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archetype = self._archetype
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factor_pv = self._factor_pv
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surface_opaque = 0
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surface_transparent = 0
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surface_roof = 0
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surface_ground = 0
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total_floor_area = self._total_floor_area
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for internal_zone in building.internal_zones:
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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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chapters = archetype.capital_cost
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capital_cost_skin = 0
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capital_cost_services = 0
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reposition_cost_pv = 0
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peak_heating = 0.1*self._total_floor_area
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peak_cooling = 0.1*self._total_floor_area
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if self._retrofitting_scenario == 1 or self._retrofitting_scenario == 3:
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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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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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capital_cost_skin = capital_cost_opaque+capital_cost_transparent+capital_cost_roof+capital_cost_ground
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self._yearly_capital_costs.loc[0]['B2010_opaque_walls'],self._yearly_capital_costs.loc[0]['B2020_transparent'], \
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self._yearly_capital_costs.loc[0]['B3010_opaque_roof'],self._yearly_capital_costs.loc[0]['B10_superstructure'],\
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self._yearly_capital_costs.loc[0]['B_Shell']\
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=[capital_cost_opaque , capital_cost_transparent , capital_cost_roof , capital_cost_ground , capital_cost_skin]
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if self._retrofitting_scenario == 2 or self._retrofitting_scenario == 3:
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chapter = chapters.chapter('D_services')
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capital_cost_pv = surface_roof * factor_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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for year in range(1, self._number_of_years + 1):
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costs_increase = math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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if (year % chapter.item('D301010_photovoltaic_system').lifetime) == 0:
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reposition_cost_pv += surface_roof * factor_pv * chapter.item('D301010_photovoltaic_system').reposition[
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0] * costs_increase
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self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] = surface_roof * \
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factor_pv * chapter.item('D301010_photovoltaic_system').reposition[0] * costs_increase
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capital_cost_heating_equipment = peak_heating \
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* chapter.item('D3020_heat_generating_systems').initial_investment[0]
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capital_cost_cooling_equipment = peak_cooling \
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* chapter.item('D3030_cooling_generation_systems').initial_investment[0]
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capital_cost_distribution_equipment = peak_cooling \
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* 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 = total_floor_area * self._peak_lights \
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* chapter.item('D5020_lighting_and_branch_wiring').initial_investment[0]
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capital_cost_services = capital_cost_pv + capital_cost_heating_equipment + capital_cost_cooling_equipment\
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+ capital_cost_distribution_equipment + capital_cost_other_hvac_ahu \
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+ capital_cost_lighting
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self._yearly_capital_costs.loc[0]['D3020_heat_generating_systems'], self._yearly_capital_costs.loc[0]['D3030_cooling_generation_systems'], \
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self._yearly_capital_costs.loc[0]['D3040_distribution_systems'], self._yearly_capital_costs.loc[0]['D3080_other_hvac_ahu'], \
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self._yearly_capital_costs.loc[0]['D5020_lighting_and_branch_wiring'], self._yearly_capital_costs.loc[0]['D_services'] \
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= [capital_cost_heating_equipment, capital_cost_cooling_equipment, capital_cost_distribution_equipment,
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capital_cost_other_hvac_ahu, capital_cost_lighting, capital_cost_services]
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reposition_cost_heating_equipment = 0
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reposition_cost_cooling_equipment = 0
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reposition_cost_lighting = 0
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reposition_cost_hvac_ahu = 0
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for year in range(1, self._number_of_years + 1):
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chapter = chapters.chapter('D_services')
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costs_increase = math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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if (year % chapter.item('D3020_heat_generating_systems').lifetime) == 0:
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reposition_cost_heating_equipment = peak_heating * chapter.item('D3020_heat_generating_systems').reposition[0] \
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* costs_increase
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self._yearly_capital_costs.loc[year]['D3020_heat_generating_systems'] = reposition_cost_heating_equipment
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if (year % chapter.item('D3030_cooling_generation_systems').lifetime) == 0:
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reposition_cost_cooling_equipment = peak_cooling \
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* chapter.item('D3030_cooling_generation_systems').reposition[0] \
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* costs_increase
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self._yearly_capital_costs.loc[year]['D3030_cooling_generation_systems'] = reposition_cost_cooling_equipment
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if (year % chapter.item('D3080_other_hvac_ahu').lifetime) == 0:
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reposition_cost_hvac_ahu = peak_cooling * chapter.item('D3080_other_hvac_ahu').reposition[0] * costs_increase
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self._yearly_capital_costs.loc[year]['D3080_other_hvac_ahu'] = reposition_cost_hvac_ahu
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if (year % chapter.item('D5020_lighting_and_branch_wiring').lifetime) == 0:
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reposition_cost_lighting = total_floor_area * chapter.item('D5020_lighting_and_branch_wiring').reposition[0] \
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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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capital_cost_subtotal = capital_cost_skin + capital_cost_services
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capital_cost_total = capital_cost_subtotal * (1+chapters.design_allowance) * (1+chapters.overhead_and_profit)
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reposition_cost_subtotal = reposition_cost_pv + reposition_cost_heating_equipment \
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+ reposition_cost_cooling_equipment + reposition_cost_hvac_ahu \
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+ reposition_cost_hvac_ahu + reposition_cost_lighting
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reposition_cost_total = reposition_cost_subtotal * (1+chapters.design_allowance) * (1+chapters.overhead_and_profit)
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life_cycle_cost_capital_total = capital_cost_total + reposition_cost_total
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self._yearly_capital_costs.fillna(0,inplace=True)
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return life_cycle_cost_capital_total
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def calculate_end_of_life_costs(self):
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archetype = self._archetype
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total_floor_area = self._total_floor_area
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price_increase = 0
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for year in range(1, self._number_of_years + 1):
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price_increase += math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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price_increase_average = price_increase/self._number_of_years
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return total_floor_area * archetype.end_of_life_cost*price_increase_average
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def calculate_total_operational_costs(self):
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building = self._building
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archetype = self._archetype
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total_operational_costs = 0
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peak_cost = 0
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monthly_cost = 0
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variable_cost = 0
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total_floor_area = self._total_floor_area
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electricity_heating = building.heating[cte.YEAR]['insel meb'] / (self._heating_scop*1000)
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electricity_cooling = building.cooling[cte.YEAR]['insel meb'] / (self._cooling_seer*1000)
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electricity_lighting = building.lighting_electrical_demand['month']['insel meb'].sum()/1000
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domestic_hot_water_demand = building.domestic_hot_water_heat_demand['month']['insel meb'].sum()/1000
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electricity_plug_loads = building.appliances_electrical_demand['month']['insel meb'].sum()/1000
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total_electricity_consumption = electricity_cooling[0] + electricity_heating[0] + electricity_lighting \
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+ domestic_hot_water_demand + electricity_plug_loads
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print(f'total electricity consumption: {total_electricity_consumption}')
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peak_electricity_demand = self._peak_electricity_demand
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operational_cost_year_0 = total_electricity_consumption * archetype.operational_cost.fuels[0].variable[0]
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peak_cost_year_0 = peak_electricity_demand * archetype.operational_cost.fuels[0].fixed_power * 12
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monthly_cost_year_0 = archetype.operational_cost.fuels[0].fixed_monthly * 12 * (total_floor_area/100)
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print(f'operational_cost_year_0 {operational_cost_year_0}')
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print(f'peak_cost_year_0 {peak_cost_year_0}')
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print(f'monthly_cost_year_0 {monthly_cost_year_0}')
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for year in range(1, self._number_of_years + 1):
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peak_cost += operational_cost_year_0 \
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* math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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monthly_cost += peak_cost_year_0 \
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* math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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variable_cost += monthly_cost_year_0 \
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* math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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total_operational_costs = peak_cost + monthly_cost + variable_cost
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return total_operational_costs
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def calculate_total_maintenance_costs(self):
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building = self._building
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archetype = self._archetype
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factor_pv = self._factor_pv
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surface_roof = 0
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maintenance_pv = 0
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maintenance_heating = 0
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maintenance_cooling = 0
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peak_heating = 0.1 * self._total_floor_area
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peak_cooling = 0.1 * self._total_floor_area
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for internal_zone in building.internal_zones:
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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 == 'Roof':
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surface_roof += thermal_boundary.opaque_area
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surface_pv = surface_roof * factor_pv
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maintenance_pv_0 = surface_pv * archetype.operational_cost.maintenance_pv
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maintenance_heating_0 = peak_heating * archetype.operational_cost.maintenance_heating
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maintenance_cooling_0 = peak_cooling * archetype.operational_cost.maintenance_cooling
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for year in range(1, self._number_of_years + 1):
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costs_increase = math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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maintenance_pv += maintenance_pv_0 * costs_increase
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maintenance_heating += maintenance_heating_0 * costs_increase
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maintenance_cooling += maintenance_cooling_0 * costs_increase
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total_maintenance_costs = maintenance_pv + maintenance_heating + maintenance_cooling
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return total_maintenance_costs
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