62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
"""
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Total maintenance costs module
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"""
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import math
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import pandas as pd
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from hub.city_model_structure.building import Building
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import hub.helpers.constants as cte
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from costs.configuration import Configuration
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from costs.cost_base import CostBase
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class TotalMaintenanceCosts(CostBase):
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"""
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Total maintenance 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_maintenance_costs = pd.DataFrame(
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index=self._rng,
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columns=[
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'Heating_maintenance',
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'Cooling_maintenance',
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'PV_maintenance'
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],
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dtype='float'
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)
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def calculate(self) -> pd.DataFrame:
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"""
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Calculate total maintenance costs
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:return: pd.DataFrame
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"""
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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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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 = 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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for year in range(1, self._configuration.number_of_years + 1):
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costs_increase = math.pow(1 + self._configuration.consumer_price_index, year)
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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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