checked units
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@ -20,6 +20,7 @@ class TotalOperationalCosts(CostBase):
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"""
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End of life costs class
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"""
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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_operational_costs = pd.DataFrame(
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@ -48,11 +49,12 @@ class TotalOperationalCosts(CostBase):
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variable_gas_cost_year_0 = 0
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electricity_heating = 0
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domestic_hot_water_electricity = 0
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# todo: each fuel has different units that have to be processed
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if self._configuration.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 = (
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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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(building.heating_consumption[cte.YEAR][0] + building.domestic_hot_water_consumption[cte.YEAR][0])
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/ 1000 * cte.WATTS_HOUR_TO_JULES * archetype.operational_cost.fuels[1].variable[0]
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)
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if self._configuration.fuel_type == 0:
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electricity_heating = building.heating_consumption[cte.YEAR][0] / 1000
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@ -71,7 +73,8 @@ class TotalOperationalCosts(CostBase):
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peak_electricity_load = PeakLoad(building).electricity_peak_load
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peak_load_value = peak_electricity_load.max(axis=1)
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peak_electricity_demand = peak_load_value[1] / 1000 # self._peak_electricity_demand adapted to kW
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variable_electricity_cost_year_0 = total_electricity_consumption * archetype.operational_cost.fuels[0].variable[0]
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variable_electricity_cost_year_0 = \
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total_electricity_consumption * cte.WATTS_HOUR_TO_JULES * 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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