57 lines
2.0 KiB
Python
57 lines
2.0 KiB
Python
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"""
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Peak load 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 pandas as pd
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import hub.helpers.constants as cte
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class PeakLoad:
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"""
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Peak load class
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"""
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def __init__(self, building):
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self._building = building
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@property
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def electricity_peak_load(self):
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"""
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Get the electricity peak load in W
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"""
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array = [None] * 12
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heating = 0
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cooling = 0
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for system in self._building.energy_systems:
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if cte.HEATING in system.demand_types:
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heating = 1
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if cte.COOLING in system.demand_types:
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cooling = 1
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if cte.MONTH in self._building.heating_peak_load.keys() and cte.MONTH in self._building.cooling_peak_load.keys():
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peak_lighting = self._building.lighting_peak_load[cte.YEAR][0]
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peak_appliances = self._building.appliances_peak_load[cte.YEAR][0]
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monthly_electricity_peak = [0.9 * peak_lighting + 0.7 * peak_appliances] * 12
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conditioning_peak = max(self._building.heating_peak_load[cte.MONTH], self._building.cooling_peak_load[cte.MONTH])
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for i in range(len(conditioning_peak)):
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if cooling == 1 and heating == 1:
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conditioning_peak[i] = conditioning_peak[i]
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continue
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elif cooling == 0:
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conditioning_peak[i] = self._building.heating_peak_load[cte.MONTH][i] * heating
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else:
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conditioning_peak[i] = self._building.cooling_peak_load[cte.MONTH][i] * cooling
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monthly_electricity_peak[i] += 0.8 * conditioning_peak[i]
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electricity_peak_load_results = pd.DataFrame(
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monthly_electricity_peak,
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columns=[f'electricity peak load W']
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)
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else:
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electricity_peak_load_results = pd.DataFrame(array, columns=[f'electricity peak load W'])
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return electricity_peak_load_results
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