forked from s_ranjbar/city_retrofit
59 lines
2.6 KiB
Python
59 lines
2.6 KiB
Python
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import constants as cte
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_MONTH_STARTING_HOUR = [0, 744, 1416, 2160, 2880, 3624, 4344, 5088, 5832, 6552, 7296, 8016]
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def peak_loads_from_hourly(hourly_values):
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month = 1
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peaks = [0 for _ in range(12)]
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for i, value in enumerate(hourly_values):
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if _MONTH_STARTING_HOUR[month] <= i:
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month += 1
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if value > peaks[month-1]:
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peaks[month-1] = value
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print(peaks)
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return peaks
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def peak_loads_from_methodology(building):
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monthly_heating_loads = []
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monthly_cooling_loads = []
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ambient_temperature = building.external_temperature[cte.HOUR][self._weather_format]
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for month in range(0, 12):
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ground_temperature = building.ground_temperature[cte.MONTH]['2'][month]
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heating_ambient_temperature = 100
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cooling_ambient_temperature = -100
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cooling_calculation_hour = -1
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start_hour = _MONTH_STARTING_HOUR[month]
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end_hour = 8760
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if month < 11:
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end_hour = _MONTH_STARTING_HOUR[month + 1]
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for hour in range(start_hour, end_hour):
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temperature = ambient_temperature[hour]
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if temperature < heating_ambient_temperature:
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heating_ambient_temperature = temperature
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if temperature > cooling_ambient_temperature:
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cooling_ambient_temperature = temperature
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cooling_calculation_hour = hour
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loads = LoadsCalculation(building)
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heating_load_transmitted = loads.get_heating_transmitted_load(heating_ambient_temperature, ground_temperature)
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heating_load_ventilation_sensible = loads.get_heating_ventilation_load_sensible(heating_ambient_temperature)
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heating_load_ventilation_latent = 0
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heating_load = heating_load_transmitted + heating_load_ventilation_sensible + heating_load_ventilation_latent
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cooling_load_transmitted = loads.get_cooling_transmitted_load(cooling_ambient_temperature, ground_temperature)
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cooling_load_renovation_sensible = loads.get_cooling_ventilation_load_sensible(cooling_ambient_temperature)
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cooling_load_internal_gains_sensible = loads.get_internal_load_sensible()
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cooling_load_radiation = loads.get_radiation_load(self._irradiance_format, cooling_calculation_hour)
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cooling_load_sensible = cooling_load_transmitted + cooling_load_renovation_sensible - cooling_load_radiation \
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- cooling_load_internal_gains_sensible
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cooling_load_latent = 0
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cooling_load = cooling_load_sensible + cooling_load_latent
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if heating_load < 0:
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heating_load = 0
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if cooling_load > 0:
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cooling_load = 0
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monthly_heating_loads.append(heating_load)
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monthly_cooling_loads.append(cooling_load)
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{'monthly heating peak load': monthly_heating_loads,
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'monthly cooling peak load': monthly_cooling_loads}
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