Changes in subsidy structure
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a9744a2818
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__main__.py
18
__main__.py
@ -101,7 +101,7 @@ for retrofitting_scenario in retrofitting_scenarios:
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if retrofitting_scenario == 1 or retrofitting_scenario == 3:
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for building in city.buildings:
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building.year_of_construction = 2020
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building.year_of_construction = retrofitting_year_of_construction
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ConstructionFactory(construction_format, city).enrich()
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print('enrich retrofitted constructions... done')
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@ -131,7 +131,7 @@ for retrofitting_scenario in retrofitting_scenarios:
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print(f'fuel type {fuel_type}')
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lcc = LifeCycleCosts(building, archetype, number_of_years, consumer_price_index, electricity_peak_index,
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electricity_price_index, gas_price_index, discount_rate, retrofitting_scenario, fuel_type)
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global_capital_costs = lcc.calculate_capital_costs()
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global_capital_costs, global_capital_incomes = lcc.calculate_capital_costs()
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global_end_of_life_costs = lcc.calculate_end_of_life_costs()
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global_operational_costs = lcc.calculate_total_operational_costs()
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global_maintenance_costs = lcc.calculate_total_maintenance_costs()
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@ -143,7 +143,7 @@ for retrofitting_scenario in retrofitting_scenarios:
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global_operational_costs.to_excel(writer, sheet_name='global_operational_costs')
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global_maintenance_costs.to_excel(writer, sheet_name='global_maintenance_costs')
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global_operational_incomes.to_excel(writer, sheet_name='global_operational_incomes')
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global_capital_incomes.to_excel(writer, sheet_name='global_capital_incomes')
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df_capital_costs_skin = (
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global_capital_costs['B2010_opaque_walls'] + global_capital_costs['B2020_transparent'] +
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@ -173,12 +173,16 @@ for retrofitting_scenario in retrofitting_scenarios:
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)
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df_operational_incomes = global_operational_incomes['Incomes electricity']
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df_capital_incomes = global_capital_incomes['Subsidies construction'] + global_capital_incomes['Subsidies HVAC'] + \
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global_capital_incomes['Subsidies PV']
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life_cycle_costs_capital_skin = _npv_from_list(discount_rate, df_capital_costs_skin.values.tolist())
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life_cycle_costs_capital_systems = _npv_from_list(discount_rate, df_capital_costs_systems.values.tolist())
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life_cycle_costs_end_of_life_costs = _npv_from_list(discount_rate, df_end_of_life_costs.values.tolist())
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life_cycle_operational_costs = _npv_from_list(discount_rate, df_operational_costs.values.tolist())
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life_cycle_maintenance_costs = _npv_from_list(discount_rate, df_maintenance_costs.values.tolist())
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life_cycle_operational_incomes = _npv_from_list(discount_rate, df_operational_incomes.values.tolist())
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life_cycle_capital_incomes = _npv_from_list(discount_rate, df_capital_incomes.values.tolist())
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life_cycle_costs = (
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life_cycle_costs_capital_skin +
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@ -186,7 +190,8 @@ for retrofitting_scenario in retrofitting_scenarios:
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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_operational_incomes -
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life_cycle_capital_incomes
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)
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life_cycle_results[f'Scenario {retrofitting_scenario}'] = [life_cycle_costs_capital_skin,
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@ -194,12 +199,13 @@ for retrofitting_scenario in retrofitting_scenarios:
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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_operational_incomes,
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life_cycle_capital_incomes]
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life_cycle_results.index = [f'total_capital_costs_skin',
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f'total_capital_costs_systems', f'end_of_life_costs',
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f'total_operational_costs', f'total_maintenance_costs',
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f'operational_incomes']
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f'operational_incomes', f'capital_incomes']
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print(life_cycle_results)
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print(f'Scenario {retrofitting_scenario} {life_cycle_costs}')
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@ -63,6 +63,8 @@ class LifeCycleCosts:
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'PV_maintenance'], dtype='float')
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self._yearly_operational_incomes = pd.DataFrame(index=rng, columns=['Incomes electricity'], dtype='float')
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self._yearly_capital_incomes = pd.DataFrame(index=rng, columns=['Subsidies construction',
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'Subsidies HVAC', 'Subsidies PV'], dtype='float')
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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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@ -71,6 +73,17 @@ class LifeCycleCosts:
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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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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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total_floor_area = self._total_floor_area
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for internal_zone in building.internal_zones:
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@ -98,7 +111,6 @@ class LifeCycleCosts:
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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, 'B_Shell'] = 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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@ -106,6 +118,10 @@ class LifeCycleCosts:
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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.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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self._yearly_capital_costs.fillna(0, inplace=True)
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if self._retrofitting_scenario in (self.SKIN_RETROFIT, self.SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
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chapter = chapters.chapter('B_shell')
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@ -113,12 +129,13 @@ class LifeCycleCosts:
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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'] = capital_cost_opaque
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self._yearly_capital_costs.loc[0]['B2020_transparent'] = capital_cost_transparent
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self._yearly_capital_costs.loc[0, 'B3010_opaque_roof'] = capital_cost_roof
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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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chapter = chapters.chapter('D_services')
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@ -135,6 +152,7 @@ class LifeCycleCosts:
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)
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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 * chapter.item('D5020_lighting_and_branch_wiring').initial_investment[0]
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self._yearly_capital_costs.loc[0, 'D3020_heat_generating_systems'], = capital_cost_heating_equipment
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self._yearly_capital_costs.loc[0, 'D3030_cooling_generation_systems'] = capital_cost_cooling_equipment
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self._yearly_capital_costs.loc[0, 'D3040_distribution_systems'] = capital_cost_distribution_equipment
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@ -170,7 +188,16 @@ class LifeCycleCosts:
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self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] = surface_pv \
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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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capital_cost_skin = capital_cost_opaque + capital_cost_ground + capital_cost_transparent + capital_cost_roof
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capital_cost_hvac = capital_cost_heating_equipment + capital_cost_cooling_equipment + \
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capital_cost_distribution_equipment + capital_cost_other_hvac_ahu + capital_cost_lighting
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self._yearly_capital_incomes.loc[0, 'Subsidies construction'] = capital_cost_skin * \
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archetype.income.construction_subsidy/100
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self._yearly_capital_incomes.loc[0, 'Subsidies HVAC'] = capital_cost_hvac * archetype.income.hvac_subsidy/100
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self._yearly_capital_incomes.loc[0, 'Subsidies PV'] = capital_cost_pv * archetype.income.photovoltaic_subsidy/100
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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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def calculate_end_of_life_costs(self):
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archetype = self._archetype
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@ -216,11 +243,6 @@ class LifeCycleCosts:
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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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print(f'total_electricity_cooling {electricity_cooling}')
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print(f'total_electricity_lighting {electricity_lighting}')
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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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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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@ -260,10 +282,13 @@ 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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self._yearly_operational_incomes.loc[year, 'Incomes electricity'] = onsite_electricity_production * \
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price_increase_electricity
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price_increase_electricity = math.pow(1 + self._electricity_price_index, year)
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#todo: check the adequate assignation of price. Pilar
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price_export = 0.075 # archetype.income.electricity_export
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self._yearly_operational_incomes.loc[year, 'Incomes electricity'] = (onsite_electricity_production *
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price_export *
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price_increase_electricity
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)
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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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