59 lines
2.0 KiB
Python
59 lines
2.0 KiB
Python
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"""
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monthly_to_hourly_demand module
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
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"""
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import pandas as pd
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import helpers.constants as cte
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class MonthlyToHourlyDemand:
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"""
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MonthlyToHourlyDemand class
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"""
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def __init__(self, building):
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self._hourly_heating = pd.DataFrame()
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self._hourly_cooling = pd.DataFrame()
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self._building = building
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@property
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def hourly_heating(self):
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# todo: this method and the insel model have to be reviewed for more than one thermal zone
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external_temp = self._building.hourly_external_temperature
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# todo: review index depending on how the schedules are defined, either 8760 or 24 hours
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# todo: usage_zone values not implemented
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period = 'day'
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for usage_zone in self._building.usage_zones:
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temp_set = usage_zone.heating_setpoint_schedule(period)
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temp_back = usage_zone.heating_setback_schedule(period)
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heating_schedule = usage_zone.heating_schedule_month
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self._hourly_heating = pd.DataFrame(columns=['monthly to hourly'])
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i = 0
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for month in range(0, 12):
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temp_grad_month = 0
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for day in cte.days_of_month[month]:
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external_temp_med = 0
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for hour in range(0, 24):
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external_temp_med += external_temp[i]/24
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for hour in range(0, 24):
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if external_temp_med < temp_set[i] & heating_schedule[month] == 1:
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schedule = usage_zone.heating_schedule_day[day]
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if schedule[hour] == 1:
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temp_grad_day = temp_set[i] - external_temp[i]
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else:
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temp_grad_day = temp_back[i] - external_temp[i]
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else:
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temp_grad_day = 0
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temp_grad_month += temp_grad_day
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self._hourly_heating.append(self._building.monthly_heating(month)*temp_grad_day/temp_grad_month)
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i += 1
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return self._hourly_heating
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@property
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def hourly_cooling(self) -> NotImplementedError:
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raise NotImplementedError
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