bug correction
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@ -41,9 +41,12 @@ class LifeCycleCosts:
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rng = range(number_of_years)
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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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'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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dtype='float')
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self._yearly_end_of_life_costs = pd.DataFrame(index=rng, columns=['End_of_life_costs'], dtype='float')
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self._yearly_operational_costs = pd.DataFrame(index=rng, columns=['Fixed_costs_electricity_peak',
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@ -109,7 +112,6 @@ class LifeCycleCosts:
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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_pv * chapter.item('D301010_photovoltaic_system').initial_investment[0]
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@ -160,7 +162,8 @@ class LifeCycleCosts:
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if self._retrofitting_scenario == 2 or self._retrofitting_scenario == 3:
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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('D301010_photovoltaic_system').reposition[0] * costs_increase
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* chapter.item(
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'D301010_photovoltaic_system').reposition[0] * costs_increase
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return self._yearly_capital_costs
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def calculate_end_of_life_costs(self):
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@ -171,7 +174,8 @@ class LifeCycleCosts:
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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)
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if year == self._number_of_years:
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self._yearly_end_of_life_costs.at[year,'End_of_life_costs'] = total_floor_area * archetype.end_of_life_cost*price_increase
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self._yearly_end_of_life_costs.at[
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year, 'End_of_life_costs'] = total_floor_area * archetype.end_of_life_cost * price_increase
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self._yearly_end_of_life_costs.fillna(0, inplace=True)
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return self._yearly_end_of_life_costs
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@ -219,8 +223,9 @@ class LifeCycleCosts:
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self._yearly_operational_costs.at[year, 'Fixed_costs_electricity_monthly'] = monthly_electricity_cost_year_0 * \
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price_increase_peak_electricity
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self._yearly_operational_costs.at[year,'Variable_costs_electricity'] = variable_electricity_cost_year_0 * \
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price_increase_electricity
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self._yearly_operational_costs.at[year, 'Variable_costs_electricity'] = float(
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variable_electricity_cost_year_0 * price_increase_electricity
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)
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self._yearly_operational_costs.at[year, 'Fixed_costs_gas'] = fixed_gas_cost_year_0 * \
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price_increase_gas
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self._yearly_operational_costs.at[year, 'Variable_costs_gas'] = variable_gas_cost_year_0 * \
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@ -234,12 +239,10 @@ class LifeCycleCosts:
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def calculate_total_operational_incomes(self):
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building = self._building
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archetype = self._archetype
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if (building.onsite_electrical_production is None):
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if cte.YEAR not in building.onsite_electrical_production:
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onsite_electricity_production = 0
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else:
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onsite_electricity_production= 100 #building.onsite_electrical_production[cte.YEAR]/1000
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onsite_electricity_production = building.onsite_electrical_production[cte.YEAR][0]/1000
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price_increase_electricity = 0
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for year in range(1, self._number_of_years + 1):
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@ -255,16 +258,18 @@ class LifeCycleCosts:
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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
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surface_pv = 10 #building.area_pv
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roof_area = 0
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for roof in building.roofs:
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roof_area += roof.solid_polygon.area
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surface_pv = roof_area * 0.5
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peak_heating = 100#building.heating_peak_load[cte.YEAR][0]
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peak_cooling = 100#building.cooling_peak_load[cte.YEAR][0]
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peak_heating = building.heating_peak_load[cte.YEAR][cte.HEATING_PEAK_LOAD][0]
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peak_cooling = building.cooling_peak_load[cte.YEAR][cte.COOLING_PEAK_LOAD][0]
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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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maintenance_pv_0 = surface_pv * archetype.operational_cost.maintenance_pv
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print(f'peak_heating{peak_heating}')
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print(f'maintenance_cost{archetype.operational_cost.maintenance_heating}')
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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)
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self._yearly_maintenance_costs.loc[year, 'Heating_maintenance'] = maintenance_heating_0 * \
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19
main.py
19
main.py
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@ -7,25 +7,23 @@ Copyright © 2022 Project Author Pilar Monsalvete Álvarez de Uribarri pilar.mon
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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 sys
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import pandas as pd
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import numpy_financial as npf
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from hub.imports.construction_factory import ConstructionFactory
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import pandas as pd
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from energy_systems_sizing import EnergySystemsSizing
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from hub.catalog_factories.costs_catalog_factory import CostCatalogFactory
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from hub.helpers.dictionaries import Dictionaries
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from hub.imports.construction_factory import ConstructionFactory
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from hub.imports.energy_systems_factory import EnergySystemsFactory
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from hub.imports.geometry_factory import GeometryFactory
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from hub.imports.usage_factory import UsageFactory
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from hub.imports.weather_factory import WeatherFactory
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from hub.catalog_factories.costs_catalog_factory import CostCatalogFactory
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import hub.helpers.constants as cte
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from monthly_energy_balance_engine import MonthlyEnergyBalanceEngine
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from sra_engine import SraEngine
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from hub.imports.energy_systems_factory import EnergySystemsFactory
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from energy_systems_sizing import EnergySystemsSizing
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from life_cycle_costs import LifeCycleCosts
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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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return lcc_value
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@ -188,6 +186,5 @@ for retrofitting_scenario in retrofitting_scenarios:
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print(life_cycle_results)
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print(f'Scenario {retrofitting_scenario} {life_cycle_costs}')
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#todo: change if there is more than 1 building
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life_cycle_results.to_excel(Path(__file__).parent/'out_files'/f'Results.xlsx', index=True)
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1
resources.txt
Normal file
1
resources.txt
Normal file
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@ -0,0 +1 @@
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numpy_financial
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