Merge remote-tracking branch 'origin/master'
# Conflicts: # requirements.txt
This commit is contained in:
commit
3c79c2288c
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@ -2,33 +2,35 @@
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Building module
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2020 Project Author Sanam Dabirian sanam.dabirian@mail.concordia.ca
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Contributors Pilar Monsalvete pilar_monsalvete@yahoo.es
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"""
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import calendar as cal
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class Occupancy:
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"""
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Occupancy class
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"""
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def __init__(self, internal_heat_gain, heat_dissipation, occupant_rate, occupant_type, occupant_zone,
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number_of_occupants, arrival_time=None, departure_time=None, break_time=None, day_of_week=None,
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pd_of_meetings_duration=None, occupant_schedule=None):
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def __init__(self):
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"""
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Constructor
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"""
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self._internal_heat_gain = internal_heat_gain
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self._heat_dissipation = heat_dissipation
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self._occupant_rate = occupant_rate
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self._occupant_type = occupant_type
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self._occupant_zone = occupant_zone
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self._occupant_schedule = occupant_schedule
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self._number_of_occupants = number_of_occupants
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self._arrival_time = arrival_time
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self._departure_time = departure_time
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self._break_time = break_time
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self._day_of_week = day_of_week
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self._pd_of_meetings_duration = pd_of_meetings_duration
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self._internal_heat_gain = None
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self._heat_dissipation = None
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self._occupant_rate = None
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self._occupant_type = None
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self._occupant_zone = None
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self._occupant_schedule = None
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self._number_of_occupants = None
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self._arrival_time = None
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self._departure_time = None
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self._break_time = None
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self._day_of_week = None
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self._pd_of_meetings_duration = None
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self._complete_year_schedule = None
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@property
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def internal_heat_gain(self):
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@ -125,3 +127,23 @@ class Occupancy:
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:return: probability distribution of the meeting duration
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"""
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return self._pd_of_meetings_duration
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def get_complete_year_schedule(self, schedules):
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if self._complete_year_schedule is None:
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self._complete_year_schedule = []
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for i in range(1, 13):
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month_range = cal.monthrange(2015, i)
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for day in range(1, month_range[1]+1):
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if cal.weekday(2015, i, day) < 5:
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for j in range(0, 24):
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week_schedule = schedules['WD'][j]
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self._complete_year_schedule.append(week_schedule)
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elif cal.weekday(2015, i, day) == 5:
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for j in range(0, 24):
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week_schedule = schedules['Sat'][j]
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self._complete_year_schedule.append(week_schedule)
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else:
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for j in range(0, 24):
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week_schedule = schedules['Sun'][j]
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self._complete_year_schedule.append(week_schedule)
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return self._complete_year_schedule
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@ -2,6 +2,7 @@
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UsageZone module
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2020 Project Author Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
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Contributors Pilar Monsalvete pilar_monsalvete@yahoo.es
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"""
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from typing import List
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@ -21,10 +22,11 @@ class UsageZone:
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self._cooling_setpoint = None
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self._hours_day = None
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self._days_year = None
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# todo: this must come from library, talk to Rabeeh
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# todo: mechanical_air_change must come from library, talk to Rabeeh
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self._mechanical_air_change = ConfigurationHelper().min_air_change
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self._occupancy = None
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self._schedules = None
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self._heating_schedule = None
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@property
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def internal_gains(self) -> List[InternalGains]:
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@ -193,3 +195,19 @@ class UsageZone:
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:param value: Sunday schedules
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"""
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self._schedules = value
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@property
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def heating_schedule(self):
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"""
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Get heating schedule
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:return: dict{DtaFrame(int)}
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"""
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return self._heating_schedule
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@heating_schedule.setter
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def heating_schedule(self, values):
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"""
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Get heating schedule
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:param values: dict{DtaFrame(int)}
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"""
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self._heating_schedule = values
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@ -5,16 +5,18 @@ 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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from city_model_structure.attributes.occupancy import Occupancy
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import calendar as cal
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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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def __init__(self, building, conditioning_seasons):
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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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self._conditioning_seasons = conditioning_seasons
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@property
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def hourly_heating(self):
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@ -23,38 +25,45 @@ class MonthlyToHourlyDemand:
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:return: [hourly_heating]
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"""
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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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external_temp = self._building.external_temperature['hour']
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# todo: review index depending on how the schedules are defined, either 8760 or 24 hours
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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
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temp_back = usage_zone.heating_setback
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occupancy = usage_zone.occupancy.occupant_schedule(period)
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# todo: heating_schedule is still missing
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heating_schedule = usage_zone.heating_schedule_month
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temp_set = float(usage_zone.heating_setpoint)
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temp_back = float(usage_zone.heating_setback)
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occupancy = Occupancy().get_complete_year_schedule(usage_zone.schedules['Occupancy'])
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heating_schedule = self._conditioning_seasons['heating']
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self._hourly_heating = pd.DataFrame(columns=['monthly to hourly'])
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hourly_heating = []
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i = 0
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for month in range(0, 12):
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temp_grad_day = []
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for month in range(1, 13):
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temp_grad_month = 0
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for day in cte.days_of_month[month]:
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month_range = cal.monthrange(2015, month)
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for day in range(1, month_range[1]+1):
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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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external_temp_med += external_temp['inseldb'][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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if occupancy[hour] == 1:
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temp_grad_day = temp_set[i] - external_temp[i]
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if external_temp_med < temp_set and heating_schedule[month-1] == 1:
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if occupancy[hour] > 0:
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temp_grad_day.append(temp_set - external_temp['inseldb'][i])
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else:
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temp_grad_day = temp_back[i] - external_temp[i]
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temp_grad_day.append(temp_back - external_temp['inseldb'][i])
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else:
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temp_grad_day = 0
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temp_grad_day.append(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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temp_grad_month += temp_grad_day[i]
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i += 1
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for day in range(1, month_range[1] + 1):
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for hour in range(0, 24):
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j = (day - 1) * 24 + hour
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monthly_demand = self._building.heating['month']['INSEL'][month-1]
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hourly_demand = float(monthly_demand)*float(temp_grad_day[j])/float(temp_grad_month)
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hourly_heating.append(hourly_demand)
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self._hourly_heating = pd.DataFrame(data=hourly_heating, columns=['monthly to hourly'])
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return self._hourly_heating
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@property
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@ -805,4 +805,28 @@
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<infiltration_rate_for_ventilation_system_off units="ACH">0.10</infiltration_rate_for_ventilation_system_off>
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<infiltration_rate_for_ventilation_system_on units="ACH">0</infiltration_rate_for_ventilation_system_on>
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</archetype>
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<archetype id="36" building_type="residential" reference_standard="ASHRAE 90.1_2004" climate_zone="ASHRAE_2004:4A">
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<constructions>
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<construction id="19" type="exterior wall" >
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<window_ratio units="-">0.15</window_ratio>
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<window>4</window>
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</construction>
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<construction id="22" type="exterior slab">
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<window_ratio units="-">0</window_ratio>
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<window/>
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</construction>
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<construction id="17" type="roof" >
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<window_ratio units="-">0</window_ratio>
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<window/>
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</construction>
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</constructions>
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<average_storey_height units="m">3.05</average_storey_height>
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<number_of_storeys units="-">3</number_of_storeys>
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<thermal_capacity units="kJ/K m2">90</thermal_capacity>
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<extra_loses_due_to_thermal_bridges units="W/K m2">0.15</extra_loses_due_to_thermal_bridges>
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<indirect_heated_ratio units="-">0.15</indirect_heated_ratio>
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<infiltration_rate_for_ventilation_system_off units="ACH">0.50</infiltration_rate_for_ventilation_system_off>
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<infiltration_rate_for_ventilation_system_on units="ACH">0</infiltration_rate_for_ventilation_system_on>
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</archetype>
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</archetypes>
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@ -12,7 +12,7 @@ class OccupancyFactory:
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"""
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PhysicsFactor class
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"""
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def __init__(self, handler, city, base_path=Path(Path(__file__).parent.parent.parent / 'data/occupancy')):
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def __init__(self, handler, city, base_path=Path(Path(__file__).parent.parent / 'data/occupancy')):
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self._handler = '_' + handler.lower().replace(' ', '_')
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self._city = city
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self._base_path = base_path
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@ -2,6 +2,7 @@
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PhysicsFactory retrieve the specific physics module for the given region
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2020 Project Author Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
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contributors Pilar Monsalvete pilar_monsalvete@yahoo.es
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"""
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import pandas as pd
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from factories.occupancy_feeders.helpers.occupancy_helper import OccupancyHelper
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def __init__(self, city, base_path):
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self._city = city
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self._demo_schedules_path = base_path / 'demo_schedules.xlsx'
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print('schedules: ', self._demo_schedules_path)
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xls = pd.ExcelFile(self._demo_schedules_path)
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# todo: review for more than one usage_zones per building
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for building in city.buildings:
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schedules = dict()
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occupancy = pd.read_excel(xls, sheet_name=OccupancyHelper.pluto_occupancy_function(building.function),
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skiprows=[0, 1, 2, 3], nrows=39, usecols="A:AA")
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# todo: should we safe the data type? How?
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for index in range(0, 13):
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row = occupancy.iloc[3 * index]
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data = row[1:]
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name = row[0]
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for i in range(1, 3):
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data = pd.DataFrame()
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columns_names = []
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name = ''
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data_type = ''
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for i in range(0, 3):
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row = occupancy.iloc[3*index + i]
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data1 = row[1:]
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if i == 0:
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name = row[0]
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data_type = row[1]
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columns_names.append(row[2])
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data1 = row[3:]
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data = pd.concat([data, data1], axis=1)
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data.columns = columns_names
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schedules[name] = data
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building.usage_zones[0].schedules = schedules
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@ -40,7 +40,7 @@ class UsBasePhysicsParameters:
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# ToDo: remove this in the future
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# ToDo: Raise WrongArchetype if not all the surface types are defined for the given city_object
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if archetype is None:
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print('Building ', building.name, 'has unknown archetype')
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print('Building ', building.name, 'has unknown archetype for building type: ', building_type)
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print('type: ', building_type, UsToLibraryTypes.yoc_to_standard(building.year_of_construction),
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self._climate_zone)
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continue
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@ -3,7 +3,7 @@ UsNewYorkCityPhysicsParameters import the construction and material information
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2020 Project Author Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
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"""
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from factories.physics_feeders.helpers.us_pluto_to_function import UsPlutoToFunction as Pf
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from factories.physics_feeders.helpers.us_pluto_to_function import UsPlutoToFunction as pf
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from factories.physics_feeders.us_base_physics_parameters import UsBasePhysicsParameters
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@ -14,4 +14,4 @@ class UsNewYorkCityPhysicsParameters(UsBasePhysicsParameters):
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def __init__(self, city, base_path):
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self._city = city
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climate_zone = 'ASHRAE_2004:4A'
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super().__init__(climate_zone, self._city.buildings, Pf.function, base_path)
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super().__init__(climate_zone, self._city.buildings, pf.function, base_path)
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@ -3,7 +3,7 @@ UsNewYorkCityUsageParameters model the usage properties for a NYC building
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2020 Project Author Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
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"""
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from factories.usage_feeders.helpers.us_pluto_to_usage import UsPlutoToUsage as Pu
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from factories.usage_feeders.helpers.us_pluto_to_usage import UsPlutoToUsage as pu
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from factories.usage_feeders.us_base_usage_parameters import UsBaseUsageParameters
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@ -13,4 +13,4 @@ class UsNewYorkCityUsageParameters(UsBaseUsageParameters):
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"""
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def __init__(self, city):
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self._city = city
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super().__init__(self._city, Pu.usage)
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super().__init__(self._city, pu.usage)
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@ -55,3 +55,4 @@ esoreader~=1.2.3
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geomeppy~=0.11.8
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pyglet~=1.5.8
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networkx~=2.5
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xlrd~=1.2.0
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|
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@ -9,6 +9,7 @@ from unittest import TestCase
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from factories.geometry_factory import GeometryFactory
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from factories.usage_factory import UsageFactory
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from factories.occupancy_factory import OccupancyFactory
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from city_model_structure.attributes.occupancy import Occupancy
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class TestOccupancyFactory(TestCase):
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@ -46,3 +47,4 @@ class TestOccupancyFactory(TestCase):
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for building in city.buildings:
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for usage_zone in building.usage_zones:
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self.assertTrue(usage_zone.schedules)
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print(len(Occupancy().get_complete_year_schedule(usage_zone.schedules['Occupancy'])))
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Reference in New Issue
Block a user