Merge remote-tracking branch 'origin/main'
# Conflicts: # life_cycle_costs.py
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a9744a2818
@ -120,7 +120,7 @@ class LifeCycleCosts:
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self._yearly_capital_costs.loc[0]['B10_superstructure'] = capital_cost_ground
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self._yearly_capital_costs.loc[0, 'B_Shell'] = capital_cost_skin
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if self._retrofitting_scenario in (self.SYSTEM_RETROFIT_AND_PV , self.SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
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if self._retrofitting_scenario in (self.SYSTEM_RETROFIT_AND_PV, self.SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
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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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self._yearly_capital_costs.loc[0]['D301010_photovoltaic_system'] = capital_cost_pv
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@ -197,19 +197,22 @@ class LifeCycleCosts:
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domestic_hot_water_electricity = 0
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if self._fuel_type == 1:
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fixed_gas_cost_year_0 = archetype.operational_cost.fuels[1].fixed_monthly * 12 * factor_residential
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variable_gas_cost_year_0 = (building.heating_consumption[cte.YEAR][0] +
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building.domestic_hot_water_consumption[cte.YEAR][0]) / (1000) * \
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variable_gas_cost_year_0 = (
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(building.heating_consumption[cte.YEAR][0] + building.domestic_hot_water_consumption[cte.YEAR][0]) / 1000 *
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archetype.operational_cost.fuels[1].variable[0]
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)
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if self._fuel_type == 0:
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electricity_heating = building.heating_consumption[cte.YEAR][0] / (1000)
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electricity_heating = building.heating_consumption[cte.YEAR][0] / 1000
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domestic_hot_water_electricity = building.domestic_hot_water_consumption[cte.YEAR][0] / 1000
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electricity_cooling = building.cooling_consumption[cte.YEAR][0] / (1000)
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electricity_cooling = building.cooling_consumption[cte.YEAR][0] / 1000
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electricity_lighting = building.lighting_electrical_demand[cte.YEAR]['insel meb'] / 1000
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electricity_plug_loads = building.appliances_electrical_demand[cte.YEAR]['insel meb'] / 1000
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electricity_distribution = 0 # building.distribution_systems_electrical_consumption[cte.YEAR][0]/1000
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total_electricity_consumption = electricity_heating + electricity_cooling + electricity_lighting + \
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domestic_hot_water_electricity + electricity_plug_loads + electricity_distribution
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electricity_distribution = 0
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total_electricity_consumption = (
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electricity_heating + electricity_cooling + electricity_lighting + domestic_hot_water_electricity +
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electricity_plug_loads + electricity_distribution
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)
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# todo: change when peak electricity demand is coded. Careful with factor residential
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peak_electricity_demand = 100 # self._peak_electricity_demand
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@ -218,7 +221,6 @@ class LifeCycleCosts:
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print(f'total_electricity_plug_loads {electricity_plug_loads}')
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print(f'total_electricity_consumption {total_electricity_consumption}')
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print(f'price_electricity {archetype.operational_cost.fuels[0].variable[0]}')
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print(f'price_gas {archetype.operational_cost.fuels[1].variable[0]}')
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variable_electricity_cost_year_0 = total_electricity_consumption * archetype.operational_cost.fuels[0].variable[0]
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peak_electricity_cost_year_0 = peak_electricity_demand * archetype.operational_cost.fuels[0].fixed_power * 12
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monthly_electricity_cost_year_0 = archetype.operational_cost.fuels[0].fixed_monthly * 12 * factor_residential
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@ -227,20 +229,23 @@ class LifeCycleCosts:
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price_increase_electricity = math.pow(1 + self._electricity_price_index, year)
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price_increase_peak_electricity = math.pow(1 + self._electricity_peak_index, year)
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price_increase_gas = math.pow(1 + self._gas_price_index, year)
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self._yearly_operational_costs.at[year, 'Fixed_costs_electricity_peak'] = peak_electricity_cost_year_0 * \
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price_increase_peak_electricity
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self._yearly_operational_costs.at[year, 'Fixed_costs_electricity_peak'] = (
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peak_electricity_cost_year_0 * price_increase_peak_electricity
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)
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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, 'Fixed_costs_electricity_monthly'] = (
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monthly_electricity_cost_year_0 * price_increase_peak_electricity
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)
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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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price_increase_peak_electricity
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self._yearly_operational_costs.at[year, 'Variable_costs_gas'] = variable_gas_cost_year_0 * \
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price_increase_peak_electricity
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self._yearly_operational_costs.at[year, 'Fixed_costs_gas'] = fixed_gas_cost_year_0 * price_increase_gas
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self._yearly_operational_costs.at[year, 'Variable_costs_gas'] = (
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variable_gas_cost_year_0 * price_increase_peak_electricity
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)
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self._yearly_operational_costs.at[year, 'Variable_costs_gas'] = (
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variable_gas_cost_year_0 * price_increase_peak_electricity
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)
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self._yearly_operational_costs.fillna(0, inplace=True)
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return self._yearly_operational_costs
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@ -248,7 +253,6 @@ 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 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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@ -256,11 +260,10 @@ class LifeCycleCosts:
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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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price_increase_electricity = math.pow(1 + self._electricity_price_index, year)
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price_increase_electricity += math.pow(1 + self._electricity_price_index, year)
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self._yearly_operational_incomes.loc[year, 'Incomes electricity'] = (
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onsite_electricity_production * archetype.operational_cost.fuels[0].variable[0] * price_increase_electricity
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)
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self._yearly_operational_incomes.loc[year, 'Incomes electricity'] = onsite_electricity_production * \
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price_increase_electricity
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self._yearly_operational_incomes.fillna(0, inplace=True)
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return self._yearly_operational_incomes
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@ -283,11 +286,14 @@ class LifeCycleCosts:
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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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costs_increase
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self._yearly_maintenance_costs.loc[year, 'Cooling_maintenance'] = maintenance_cooling_0 * \
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costs_increase
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self._yearly_maintenance_costs.loc[year, 'PV_maintenance'] = maintenance_pv_0 * \
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costs_increase
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self._yearly_maintenance_costs.loc[year, 'Heating_maintenance'] = (
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maintenance_heating_0 * costs_increase
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)
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self._yearly_maintenance_costs.loc[year, 'Cooling_maintenance'] = (
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maintenance_cooling_0 * costs_increase
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)
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self._yearly_maintenance_costs.loc[year, 'PV_maintenance'] = (
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maintenance_pv_0 * costs_increase
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)
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self._yearly_maintenance_costs.fillna(0, inplace=True)
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return self._yearly_maintenance_costs
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@ -1 +1,2 @@
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numpy_financial
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cerc_hub
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