Partial completion cost needs.
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21b1eef3d3
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1e68e3d40a
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@ -384,8 +384,8 @@ class Building(CityObject):
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monthly_values = PeakLoads(self).heating_peak_loads_from_methodology
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if monthly_values is None:
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return None
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results[cte.MONTH] = pd.DataFrame(monthly_values, columns=[cte.HEATING_PEAK_LOAD])
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results[cte.YEAR] = pd.DataFrame([max(monthly_values)], columns=[cte.HEATING_PEAK_LOAD])
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results[cte.MONTH] = monthly_values
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results[cte.YEAR] = [max(monthly_values)]
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return results
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@property
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@ -401,8 +401,8 @@ class Building(CityObject):
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monthly_values = PeakLoads(self).cooling_peak_loads_from_methodology
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if monthly_values is None:
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return None
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results[cte.MONTH] = pd.DataFrame(monthly_values, columns=[cte.COOLING_PEAK_LOAD])
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results[cte.YEAR] = pd.DataFrame([max(monthly_values)], columns=[cte.COOLING_PEAK_LOAD])
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results[cte.MONTH] = monthly_values
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results[cte.YEAR] = [max(monthly_values)]
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return results
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@property
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@ -414,7 +414,7 @@ class Building(CityObject):
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if self._eave_height is None:
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self._eave_height = 0
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for wall in self.walls:
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self._eave_height = max(self._eave_height, wall.upper_corner[2])
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self._eave_height = max(self._eave_height, wall.upper_corner[2]) - self.simplified_polyhedron.min_z
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return self._eave_height
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@property
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@ -637,10 +637,10 @@ class Building(CityObject):
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"""
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if len(self._distribution_systems_electrical_consumption) != 0:
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return self._distribution_systems_electrical_consumption
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_peak_load = self.heating_peak_load[cte.YEAR][cte.HEATING_PEAK_LOAD][0]
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_peak_load = self.heating_peak_load[cte.YEAR][0]
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_peak_load_type = cte.HEATING
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if _peak_load < self.cooling_peak_load[cte.YEAR][cte.COOLING_PEAK_LOAD][0]:
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_peak_load = self.cooling_peak_load[cte.YEAR][cte.COOLING_PEAK_LOAD][0]
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if _peak_load < self.cooling_peak_load[cte.YEAR][0]:
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_peak_load = self.cooling_peak_load[cte.YEAR][0]
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_peak_load_type = cte.COOLING
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_working_hours = self._calculate_working_hours()
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@ -66,11 +66,4 @@ class EnergyBuildingsExportsFactory:
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Export the city given to the class using the given export type handler
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:return: None
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"""
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return getattr(self, self._export_type, lambda: None)
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def export_debug(self):
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"""
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Export the city given to the class using the given export type handler
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:return: None
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"""
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return getattr(self, self._export_type)
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return getattr(self, self._export_type, lambda: None)
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@ -204,8 +204,6 @@ MIN_FLOAT = float('-inf')
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# Tools
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SRA = 'sra'
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INSEL_MEB = 'insel meb'
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COOLING_PEAK_LOAD = 'cooling peak load'
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HEATING_PEAK_LOAD = 'heating peak load'
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# Costs units
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CURRENCY_PER_SQM = 'currency/m2'
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@ -95,12 +95,3 @@ class GeometryFactory:
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:return: City
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"""
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return getattr(self, self._file_type, lambda: None)
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@property
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def city_debug(self) -> City:
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"""
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Enrich the city given to the class using the class given handler
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:return: City
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"""
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print('rhino')
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return Rhino(self._path).city
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@ -19,6 +19,7 @@ from hub.imports.construction_factory import ConstructionFactory
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from hub.imports.usage_factory import UsageFactory
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from hub.imports.results_factory import ResultFactory
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from hub.imports.weather_factory import WeatherFactory
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from hub.imports.energy_systems_factory import EnergySystemsFactory
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from hub.exports.energy_building_exports_factory import EnergyBuildingsExportsFactory
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from hub.exports.exports_factory import ExportsFactory
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from hub.persistence.db_control import DBControl
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@ -83,6 +84,9 @@ class Control:
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sra_file = str((output_path / f'{self._city.name}_sra.xml').resolve())
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subprocess.run([self.sra, sra_file], stdout=subprocess.DEVNULL)
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ResultFactory('sra', self._city, output_path).enrich()
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for building in self._city.buildings:
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building.energy_systems_archetype_name = 'system 1 gas pv'
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EnergySystemsFactory('montreal_custom', self._city).enrich()
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EnergyBuildingsExportsFactory('insel_monthly_energy_balance', self._city, output_path).export()
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_insel_files = glob.glob(f'{output_path}/*.insel')
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for insel_file in _insel_files:
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@ -197,13 +201,10 @@ TestDBFactory
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if cte.MONTH not in building.cooling:
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print(f'building {building.name} not calculated')
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continue
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monthly_cooling_peak_load = building.cooling_peak_load[cte.MONTH][cte.COOLING_PEAK_LOAD]
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yearly_cooling_peak_load = building.cooling_peak_load[cte.YEAR][cte.COOLING_PEAK_LOAD]
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monthly_heating_peak_load = building.heating_peak_load[cte.MONTH][cte.HEATING_PEAK_LOAD]
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yearly_heating_peak_load = building.heating_peak_load[cte.YEAR][cte.HEATING_PEAK_LOAD]
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monthly_electrical_peak_load = None
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yearly_electrical_peak_load = None
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monthly_cooling_peak_load = building.cooling_peak_load[cte.MONTH]
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yearly_cooling_peak_load = building.cooling_peak_load[cte.YEAR]
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monthly_heating_peak_load = building.heating_peak_load[cte.MONTH]
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yearly_heating_peak_load = building.heating_peak_load[cte.YEAR]
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monthly_cooling_demand = building.cooling[cte.MONTH][cte.INSEL_MEB]
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yearly_cooling_demand = building.cooling[cte.YEAR][cte.INSEL_MEB]
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monthly_heating_demand = building.heating[cte.MONTH][cte.INSEL_MEB]
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@ -214,54 +215,48 @@ TestDBFactory
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yearly_appliances_electrical_demand = building.appliances_electrical_demand[cte.YEAR][cte.INSEL_MEB]
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monthly_domestic_hot_water_heat_demand = building.domestic_hot_water_heat_demand[cte.MONTH][cte.INSEL_MEB]
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yearly_domestic_hot_water_heat_demand = building.domestic_hot_water_heat_demand[cte.YEAR][cte.INSEL_MEB]
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monthly_heating_consumption = building.domestic_hot_water_heat_demand[cte.YEAR][cte.INSEL_MEB] # building.heating_consumption[cte.MONTH][cte.INSEL_MEB]
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yearly_heating_consumption = building.domestic_hot_water_heat_demand[cte.YEAR][cte.INSEL_MEB] #building.heating_consumption[cte.YEAR][cte.INSEL_MEB]
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monthly_cooling_consumption = building.domestic_hot_water_heat_demand[cte.YEAR][cte.INSEL_MEB] #building.cooling_consumption[cte.MONTH][cte.INSEL_MEB]
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yearly_cooling_consumption = building.domestic_hot_water_heat_demand[cte.YEAR][cte.INSEL_MEB] #building.cooling_consumption[cte.YEAR][cte.INSEL_MEB]
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monthly_domestic_hot_water_consumption = building.domestic_hot_water_heat_demand[cte.YEAR][cte.INSEL_MEB] #building.domestic_hot_water_consumption[cte.MONTH][cte.INSEL_MEB]
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yearly_domestic_hot_water_consumption = building.domestic_hot_water_heat_demand[cte.YEAR][cte.INSEL_MEB] #building._domestic_hot_water_consumption[cte.YEAR][cte.INSEL_MEB]
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monthly_distribution_systems_electrical_consumption = None
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yearly_distribution_systems_electrical_consumption = None
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monthly_on_site_electrical_production = None
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yearly_on_site_electrical_production = None
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monthly_heating_consumption = building.heating_consumption[cte.MONTH]
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yearly_heating_consumption = building.heating_consumption[cte.YEAR]
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monthly_cooling_consumption = building.cooling_consumption[cte.MONTH]
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yearly_cooling_consumption = building.cooling_consumption[cte.YEAR]
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monthly_domestic_hot_water_consumption = building.domestic_hot_water_consumption[cte.MONTH]
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yearly_domestic_hot_water_consumption = building._domestic_hot_water_consumption[cte.YEAR]
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monthly_distribution_systems_electrical_consumption = building.distribution_systems_electrical_consumption[cte.MONTH]
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yearly_distribution_systems_electrical_consumption = building.distribution_systems_electrical_consumption[cte.YEAR]
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monthly_on_site_electrical_production = building.onsite_electrical_production[cte.MONTH]
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yearly_on_site_electrical_production = building.onsite_electrical_production[cte.YEAR]
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results = json.dumps({cte.INSEL_MEB: [
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{'monthly_cooling_peak_load': monthly_cooling_peak_load},
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{'yearly_cooling_peak_load': yearly_cooling_peak_load},
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{'monthly_heating_peak_load': monthly_heating_peak_load},
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{'yearly_heating_peak_load': yearly_heating_peak_load},
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{'monthly_cooling_demand': monthly_cooling_demand.tolist()},
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{'yearly_cooling_demand': yearly_cooling_demand.tolist()},
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{'monthly_heating_demand': monthly_heating_demand.tolist()},
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{'yearly_heating_demand': yearly_heating_demand.tolist()},
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{'monthly_lighting_electrical_demand': monthly_lighting_electrical_demand.tolist()},
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{'yearly_lighting_electrical_demand': yearly_lighting_electrical_demand.tolist()},
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{'monthly_appliances_electrical_demand': monthly_appliances_electrical_demand.tolist()},
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{'yearly_appliances_electrical_demand': yearly_appliances_electrical_demand.tolist()},
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{'monthly_domestic_hot_water_heat_demand': monthly_domestic_hot_water_heat_demand.tolist()},
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{'yearly_domestic_hot_water_heat_demand': yearly_domestic_hot_water_heat_demand.tolist()},
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{'monthly_heating_consumption': monthly_heating_consumption},
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{'yearly_heating_consumption': yearly_heating_consumption},
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{'monthly_cooling_consumption': monthly_cooling_consumption},
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{'yearly_cooling_consumption': yearly_cooling_consumption},
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{'monthly_domestic_hot_water_consumption': monthly_domestic_hot_water_consumption},
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{'yearly_domestic_hot_water_consumption': yearly_domestic_hot_water_consumption},
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{'monthly_distribution_systems_electrical_consumption': monthly_distribution_systems_electrical_consumption},
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{'yearly_distribution_systems_electrical_consumption': yearly_distribution_systems_electrical_consumption},
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{'monthly_on_site_electrical_production': monthly_on_site_electrical_production},
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{'yearly_on_site_electrical_production': yearly_on_site_electrical_production}
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]})
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db_building_id = _building.id
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city_objects_id.append(db_building_id)
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control.database.add_simulation_results(
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cte.INSEL_MEB,
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json.dumps({cte.INSEL_MEB: [
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{'monthly_cooling_peak_load': monthly_cooling_peak_load.to_json()},
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{'yearly_cooling_peak_load': yearly_cooling_peak_load.to_json()},
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{'monthly_heating_peak_load': monthly_heating_peak_load.to_json()},
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{'yearly_heating_peak_load': yearly_heating_peak_load.to_json()},
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{'monthly_electrical_peak_load': monthly_electrical_peak_load.to_json()},
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{'yearly_electrical_peak_load': yearly_electrical_peak_load.to_json()},
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{'monthly_cooling_demand': monthly_cooling_demand.to_json()},
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{'yearly_cooling_demand': yearly_cooling_demand.to_json()},
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{'monthly_heating_demand': monthly_heating_demand.to_json()},
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{'yearly_heating_demand': yearly_heating_demand.to_json()},
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{'monthly_lighting_electrical_demand': monthly_lighting_electrical_demand.to_json()},
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{'yearly_lighting_electrical_demand': yearly_lighting_electrical_demand.to_json()},
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{'monthly_appliances_electrical_demand': monthly_appliances_electrical_demand.to_json()},
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{'yearly_appliances_electrical_demand': yearly_appliances_electrical_demand.to_json()},
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{'monthly_domestic_hot_water_heat_demand': monthly_domestic_hot_water_heat_demand.to_json()},
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{'yearly_domestic_hot_water_heat_demand': yearly_domestic_hot_water_heat_demand.to_json()},
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{'monthly_heating_consumption': monthly_heating_consumption.to_json()},
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{'yearly_heating_consumption': yearly_heating_consumption.to_json()},
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{'monthly_cooling_consumption': monthly_cooling_consumption.to_json()},
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{'yearly_cooling_consumption': yearly_cooling_consumption.to_json()},
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{'monthly_domestic_hot_water_consumption': monthly_domestic_hot_water_consumption.to_json()},
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{'yearly_domestic_hot_water_consumption': yearly_domestic_hot_water_consumption.to_json()},
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{'monthly_distribution_systems_electrical_consumption': monthly_distribution_systems_electrical_consumption.to_json()},
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{'yearly_distribution_systems_electrical_consumption': yearly_distribution_systems_electrical_consumption.to_json()},
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{'monthly_on_site_electrical_production', monthly_on_site_electrical_production.to_json()},
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{'yearly_on_site_electrical_production', yearly_on_site_electrical_production.to_json()}
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]}), city_object_id=db_building_id)
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results, city_object_id=db_building_id)
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self.assertEqual(1, len(city_objects_id), 'wrong number of results')
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self.assertIsNotNone(city_objects_id[0], 'city_object_id is None')
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for _id in city_objects_id:
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@ -80,32 +80,10 @@ class TestResultsImport(TestCase):
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values = [0 for _ in range(8760)]
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values[0] = 1000
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expected_yearly = pd.DataFrame([1000], columns=['expected'])
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expected_monthly_list = [0 for _ in range(12)]
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expected_monthly_list[0] = 1000
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expected_monthly = pd.DataFrame(expected_monthly_list, columns=['expected'])
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for building in self._city.buildings:
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building.heating[cte.HOUR] = pd.DataFrame(values, columns=['dummy'])
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building.cooling[cte.HOUR] = pd.DataFrame(values, columns=['dummy'])
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self.assertIsNotNone(building.heating_peak_load)
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self.assertIsNotNone(building.cooling_peak_load)
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pd.testing.assert_series_equal(
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building.heating_peak_load[cte.YEAR][cte.HEATING_PEAK_LOAD],
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expected_yearly['expected'],
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check_names=False
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)
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pd.testing.assert_series_equal(
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building.cooling_peak_load[cte.YEAR][cte.COOLING_PEAK_LOAD],
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expected_yearly['expected'],
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check_names=False
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)
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pd.testing.assert_series_equal(
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building.heating_peak_load[cte.MONTH][cte.HEATING_PEAK_LOAD],
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expected_monthly['expected'],
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check_names=False
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)
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pd.testing.assert_series_equal(
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building.cooling_peak_load[cte.MONTH][cte.COOLING_PEAK_LOAD],
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expected_monthly['expected'],
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check_names=False
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)
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@ -17,7 +17,7 @@ class TestSystemsCatalog(TestCase):
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archetypes = catalog.names('archetypes')
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self.assertEqual(18, len(archetypes['archetypes']))
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systems = catalog.names('systems')
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self.assertEqual(15, len(systems['systems']))
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self.assertEqual(16, len(systems['systems']))
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generation_equipments = catalog.names('generation_equipments')
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self.assertEqual(6, len(generation_equipments['generation_equipments']))
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distribution_equipments = catalog.names('distribution_equipments')
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@ -97,9 +97,9 @@ class TestSystemsFactory(TestCase):
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copy.deepcopy(_generic_building_energy_system.generation_system)
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)
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if cte.HEATING in _building_energy_equipment.demand_types:
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_building_generation_system.heat_power = building.heating_peak_load[cte.YEAR][cte.HEATING_PEAK_LOAD][0]
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_building_generation_system.heat_power = building.heating_peak_load[cte.YEAR][0]
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if cte.COOLING in _building_energy_equipment.demand_types:
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_building_generation_system.cooling_power = building.cooling_peak_load[cte.YEAR][cte.COOLING_PEAK_LOAD][0]
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_building_generation_system.cooling_power = building.cooling_peak_load[cte.YEAR][0]
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_building_energy_equipment.generation_system = _building_generation_system
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_building_energy_equipment.distribution_system = _building_distribution_system
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_building_energy_equipment.emission_system = _building_emission_system
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