forked from s_ranjbar/city_retrofit
added domestic hot water parameters in catalog and importers
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@ -14,8 +14,9 @@ class DomesticHotWater:
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"""
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DomesticHotWater class
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"""
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def __init__(self, density, service_temperature, schedules):
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def __init__(self, density, peak_flow, service_temperature, schedules):
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self._density = density
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self._peak_flow = peak_flow
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self._service_temperature = service_temperature
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self._schedules = schedules
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@ -27,6 +28,14 @@ class DomesticHotWater:
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"""
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return self._density
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@property
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def peak_flow(self) -> Union[None, float]:
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"""
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Get domestic hot water peak_flow density in m3 per second and m2
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:return: None or float
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"""
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return self._peak_flow
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@property
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def service_temperature(self) -> Union[None, float]:
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"""
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@ -104,6 +104,7 @@ class ComnetCatalog(Catalog):
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density = float(density) * cte.BTU_H_TO_WATTS * occupancy_density
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domestic_hot_water_service_temperature = self._schedules[schedule_name]['WtrHtrSetPt'][0].values[0]
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domestic_hot_water = DomesticHotWater(density,
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None,
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domestic_hot_water_service_temperature,
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self._schedules[schedule_name]['Service Hot Water']
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)
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@ -79,10 +79,8 @@ class NrcanCatalog(Catalog):
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url = f'{self._base_url}{name["space_types_location"]}'
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with urllib.request.urlopen(url) as json_file:
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space_types = json.load(json_file)['tables']['space_types']['table']
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# space_types = [st for st in space_types if st['building_type'] == 'Space Function']
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space_types = [st for st in space_types if st['space_type'] == 'WholeBuilding']
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for space_type in space_types:
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# usage_type = space_type['space_type']
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usage_type = space_type['building_type']
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occupancy_schedule_name = space_type['occupancy_schedule']
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lighting_schedule_name = space_type['lighting_schedule']
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@ -127,14 +125,10 @@ class NrcanCatalog(Catalog):
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if appliances_radiative_fraction is not None and appliances_latent_fraction is not None:
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appliances_convective_fraction = 1 - appliances_radiative_fraction - appliances_latent_fraction
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# peak flow in m3/day/m2
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domestic_hot_water_peak_flow = space_type['service_water_heating_peak_flow_per_area']
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# peak flow in gallons/h/ft2
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domestic_hot_water_peak_flow = space_type['service_water_heating_peak_flow_per_area'] \
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* cte.GALLONS_TO_QUBIC_METERS / cte.HOUR_TO_SECONDS * pow(cte.METERS_TO_FEET, 2)
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domestic_hot_water_service_temperature = space_type['service_water_heating_target_temperature']
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average_domestic_hot_water_inlet_temperature = 16.5
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# result in W/m2
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domestic_hot_water_density = domestic_hot_water_peak_flow / 24 / 3.6 * 4184 \
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* (domestic_hot_water_service_temperature -
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average_domestic_hot_water_inlet_temperature)
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occupancy = Occupancy(occupancy_density,
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None,
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@ -157,7 +151,8 @@ class NrcanCatalog(Catalog):
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hvac_availability,
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heating_schedule,
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cooling_schedule)
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domestic_hot_water = DomesticHotWater(domestic_hot_water_density,
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domestic_hot_water = DomesticHotWater(None,
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domestic_hot_water_peak_flow,
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domestic_hot_water_service_temperature,
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domestic_hot_water_load_schedule)
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@ -14,6 +14,7 @@ class DomesticHotWater:
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"""
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def __init__(self):
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self._density = None
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self._peak_flow = None
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self._service_temperature = None
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self._schedules = None
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@ -34,6 +35,22 @@ class DomesticHotWater:
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if value is not None:
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self._density = float(value)
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@property
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def peak_flow(self) -> Union[None, float]:
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"""
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Get domestic hot water peak_flow density in m3 per second and m2
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:return: None or float
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"""
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return self._peak_flow
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@peak_flow.setter
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def peak_flow(self, value):
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"""
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Set domestic hot water peak_flow density in m3 per second and m2
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:return: None or float
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"""
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self._peak_flow = value
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@property
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def service_temperature(self) -> Union[None, float]:
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"""
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@ -35,6 +35,7 @@ class CityObject:
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self._max_z = ConfigurationHelper().min_coordinate
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self._centroid = None
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self._external_temperature = dict()
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self._ground_temperature = dict()
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self._global_horizontal = dict()
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self._diffuse = dict()
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self._beam = dict()
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@ -158,6 +159,24 @@ class CityObject:
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"""
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self._external_temperature = value
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# todo: this is the new format we will use to get rid of the data frames
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@property
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def ground_temperature(self) -> dict:
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"""
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Get ground temperature under the city object in Celsius at different depths in meters for different time steps
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example of use: {month: {0.5: [10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10]}}
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:return: dict{dict{[float]}}
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"""
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return self._ground_temperature
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@ground_temperature.setter
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def ground_temperature(self, value):
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"""
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Set ground temperature under the city object in Celsius at different depths
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:param value: dict{dict{[float]}}
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"""
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self._ground_temperature = value
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@property
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def global_horizontal(self) -> dict:
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"""
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@ -18,3 +18,5 @@ convective_heat_transfer_coefficient_exterior = 20
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soil_conductivity = 3
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#m
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soil_thickness = 0.5
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#C
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cold_water_temperature = 10
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@ -138,3 +138,11 @@ class ConfigurationHelper:
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:return: 0.5
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"""
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return self._config.getfloat('buildings', 'soil_thickness').real
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@property
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def cold_water_temperature(self) -> float:
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"""
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Get configured cold water temperature in Celsius
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:return: 10
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"""
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return self._config.getfloat('buildings', 'cold_water_temperature').real
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@ -8,13 +8,17 @@ Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
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# universal constants
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KELVIN = 273.15
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WATER_DENSITY = 1000
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WATER_HEAT_CAPACITY = 4182
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# converters
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HOUR_TO_MINUTES = 60
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MINUTES_TO_SECONDS = 60
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HOUR_TO_SECONDS = 3600
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METERS_TO_FEET = 3.28084
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BTU_H_TO_WATTS = 0.29307107
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KILO_WATTS_HOUR_TO_JULES = 3600000
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GALLONS_TO_QUBIC_METERS = 0.0037854117954011185
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# time
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SECOND = 'second'
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@ -19,6 +19,7 @@ from hub.city_model_structure.building_demand.domestic_hot_water import Domestic
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from hub.city_model_structure.attributes.schedule import Schedule
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from hub.city_model_structure.building_demand.internal_gain import InternalGain
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from hub.catalog_factories.usage_catalog_factory import UsageCatalogFactory
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from hub.imports.usage.usage_helper import UsageHelper
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class ComnetUsageParameters:
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@ -55,7 +56,7 @@ class ComnetUsageParameters:
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volume_per_area = internal_zone.volume / internal_zone.area
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usage = Usage()
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usage.name = usage_name
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self._assign_values(usage, archetype_usage, volume_per_area)
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self._assign_values(usage, archetype_usage, volume_per_area, building.ground_temperature)
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usage.percentage = 1
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self._calculate_reduced_values_from_extended_library(usage, archetype_usage)
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@ -70,7 +71,7 @@ class ComnetUsageParameters:
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raise KeyError('archetype not found')
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@staticmethod
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def _assign_values(usage, archetype, volume_per_area):
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def _assign_values(usage, archetype, volume_per_area, ground_temperature):
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# Due to the fact that python is not a typed language, the wrong object type is assigned to
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# usage.occupancy when writing usage.occupancy = archetype.occupancy.
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# Same happens for lighting and appliances. Therefore, this walk around has been done.
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@ -105,6 +106,12 @@ class ComnetUsageParameters:
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_domestic_hot_water = DomesticHotWater()
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_domestic_hot_water.density = archetype.domestic_hot_water.density
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_domestic_hot_water.service_temperature = archetype.domestic_hot_water.service_temperature
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cold_temperature = UsageHelper().cold_water_temperature(ground_temperature)
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peak_flow = 0
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if (archetype.domestic_hot_water.service_temperature - cold_temperature) > 0:
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peak_flow = archetype.domestic_hot_water.density / cte.WATER_DENSITY / cte.WATER_HEAT_CAPACITY \
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/ (archetype.domestic_hot_water.service_temperature - cold_temperature)
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_domestic_hot_water.peak_flow = peak_flow
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_domestic_hot_water.schedules = archetype.domestic_hot_water.schedules
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usage.domestic_hot_water = _domestic_hot_water
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@ -16,6 +16,7 @@ from hub.city_model_structure.building_demand.appliances import Appliances
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from hub.city_model_structure.building_demand.thermal_control import ThermalControl
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from hub.city_model_structure.building_demand.domestic_hot_water import DomesticHotWater
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from hub.catalog_factories.usage_catalog_factory import UsageCatalogFactory
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from hub.imports.usage.usage_helper import UsageHelper
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class NrcanUsageParameters:
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@ -62,7 +63,7 @@ class NrcanUsageParameters:
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volume_per_area = internal_zone.volume / internal_zone.area
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usage = Usage()
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usage.name = usage_name
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self._assign_values(usage, archetype_usage, volume_per_area)
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self._assign_values(usage, archetype_usage, volume_per_area, building.ground_temperature)
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self._assign_comnet_extra_values(usage, comnet_archetype_usage)
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usage.percentage = 1
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self._calculate_reduced_values_from_extended_library(usage, archetype_usage)
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@ -78,7 +79,7 @@ class NrcanUsageParameters:
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raise KeyError('archetype not found')
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@staticmethod
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def _assign_values(usage, archetype, volume_per_area):
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def _assign_values(usage, archetype, volume_per_area, ground_temperature):
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if archetype.mechanical_air_change > 0:
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usage.mechanical_air_change = archetype.mechanical_air_change
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elif archetype.ventilation_rate > 0:
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@ -113,8 +114,11 @@ class NrcanUsageParameters:
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_control.hvac_availability_schedules = archetype.thermal_control.hvac_availability_schedules
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usage.thermal_control = _control
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_domestic_hot_water = DomesticHotWater()
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_domestic_hot_water.density = archetype.domestic_hot_water.density
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_domestic_hot_water.peak_flow = archetype.domestic_hot_water.peak_flow
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_domestic_hot_water.service_temperature = archetype.domestic_hot_water.service_temperature
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cold_temperature = UsageHelper().cold_water_temperature(ground_temperature)
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_domestic_hot_water.density = archetype.domestic_hot_water.peak_flow * cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY \
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* (archetype.domestic_hot_water.service_temperature - cold_temperature)
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_domestic_hot_water.schedules = archetype.domestic_hot_water.schedules
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usage.domestic_hot_water = _domestic_hot_water
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43
hub/imports/usage/usage_helper.py
Normal file
43
hub/imports/usage/usage_helper.py
Normal file
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@ -0,0 +1,43 @@
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"""
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Usage helper
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2023 Concordia CERC group
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Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
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"""
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import sys
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from hub.hub_logger import logger
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import hub.helpers.constants as cte
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from hub.helpers.configuration_helper import ConfigurationHelper as ch
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class UsageHelper:
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"""
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UsageHelper class
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"""
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@staticmethod
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def cold_water_temperature(ground_temperature):
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keys = ground_temperature.keys()
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depths = ground_temperature[keys[0]].keys()
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if keys[0] == cte.YEAR:
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# taking the deeper temperature available
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_cold_temperature = ground_temperature[cte.YEAR][depths[len(depths-1)]]
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elif keys[0] == cte.MONTH:
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_cold_temperature = 0
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for i in range(0, 12):
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# taking the deeper temperature available
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_cold_temperature += ground_temperature[cte.MONTH][depths[len(depths-1)]] / 12
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elif keys[0] == cte.HOUR:
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_cold_temperature = 0
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for i in range(0, 8760):
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# taking the deeper temperature available
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_cold_temperature += ground_temperature[cte.HOUR][depths[len(depths-1)]] / 8760
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else:
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_cold_temperature = ch().cold_water_temperature
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logger.error(f'Cold water temperature could not be calculated. Assigned default value = '
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f'{ch().cold_water_temperature} degrees Celsius\n')
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sys.stderr.write(f'Cold water temperature could not be calculated. Assigned default value = '
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f'{ch().cold_water_temperature} degrees Celsius\n')
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return _cold_temperature
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@ -32,14 +32,13 @@ class EpwWeatherParameters:
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_ = file.readline().split(',')
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line = file.readline().split(',')
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number_records = int(line[1])
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depth_measurement_ground_temperature = []
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ground_temperature = []
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ground_temperature = {}
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for i in range(0, number_records):
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depth_measurement_ground_temperature.append(line[i*16+2])
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depth_measurement_ground_temperature = line[i*16+2]
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temperatures = []
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for j in range(0, 12):
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temperatures.append(line[i*16+j+6])
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ground_temperature.append(temperatures)
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ground_temperature[depth_measurement_ground_temperature] = temperatures
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file.close()
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except SystemExit:
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sys.stderr.write(f'Error: weather file {self._path} not found. Please download it from '
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@ -74,6 +73,7 @@ class EpwWeatherParameters:
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sys.exit()
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for building in self._city.buildings:
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building.ground_temperature[cte.MONTH] = ground_temperature
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if cte.HOUR in building.external_temperature:
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del building.external_temperature[cte.HOUR]
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new_value = pd.DataFrame(self._weather_values[['dry_bulb_temperature_c']].to_numpy(), columns=['epw'])
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