47 lines
1.8 KiB
Python
47 lines
1.8 KiB
Python
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"""
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Total operational incomes module
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2023 Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
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Code contributor Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
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Code contributor Oriol Gavalda Torrellas oriol.gavalda@concordia.ca
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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 scripts.costs.configuration import Configuration
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from scripts.costs.cost_base import CostBase
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class TotalOperationalIncomes(CostBase):
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"""
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Total operational incomes 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_incomes = pd.DataFrame(index=self._rng, columns=['Incomes electricity'], dtype='float')
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def calculate(self) -> pd.DataFrame:
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"""
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Calculate total operational incomes
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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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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 = building.onsite_electrical_production[cte.YEAR][0]
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for year in range(1, self._configuration.number_of_years + 1):
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price_increase_electricity = math.pow(1 + self._configuration.electricity_price_index, year)
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# todo: check the adequate assignation of price. Pilar
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price_export = archetype.income.electricity_export * cte.WATTS_HOUR_TO_JULES * 1000 # to account for unit change
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self._yearly_operational_incomes.loc[year, 'Incomes electricity'] = (
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onsite_electricity_production * price_export * 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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