diff --git a/city_model_structure/attributes/surface.py b/city_model_structure/attributes/surface.py index 88966dbc..53a2723b 100644 --- a/city_model_structure/attributes/surface.py +++ b/city_model_structure/attributes/surface.py @@ -42,7 +42,6 @@ class Surface: self._name = uuid.uuid4() return self._name - @property def swr(self): """ diff --git a/city_model_structure/city.py b/city_model_structure/city.py index 8cd6ccff..af213e7c 100644 --- a/city_model_structure/city.py +++ b/city_model_structure/city.py @@ -32,6 +32,9 @@ class City: # todo: right now extracted at city level, in the future should be extracted also at building level if exist self._location = None self._country_code = None + self._latitude = None + self._longitude = None + self._time_zone = None @property def _get_location(self): @@ -196,3 +199,11 @@ class City: if distance < radius: selected_region_city.add_city_object(city_object) return selected_region_city + + @property + def latitude(self): + """ + city latitude in degrees + :return: real + """ + return self._latitude diff --git a/data/weather/epw/CAN_BC_Summerland.717680_CWEC.epw b/data/weather/epw/CAN_BC_Summerland.717680_CWEC.epw new file mode 100644 index 00000000..6926b898 --- /dev/null +++ b/data/weather/epw/CAN_BC_Summerland.717680_CWEC.epw @@ -0,0 +1,8768 @@ +LOCATION,Summerland,BC,CAN,WYEC2-B-94152,717680,49.57,-119.65,-8.0,479.0 +DESIGN CONDITIONS,1,Climate Design Data 2009 ASHRAE Handbook,,Heating,1,-14.5,-10.3,-20.5,0.6,-13.4,-16.4,0.9,-9,10.9,5.4,9.4,5.2,3.1,310,Cooling,7,13.5,33,17.9,31.1,17.4,29.2,16.7,19.5,29.6,18.4,28.2,17.5,26.9,2.7,40,16,12,22.5,14.8,11.1,22.1,13.7,10.3,21.1,57.3,29.5,53.9,28.3,50.9,27.2,789,Extremes,8.3,6.7,5.4,22.5,-16,36.2,3.4,1.4,-18.5,37.2,-20.5,38,-22.4,38.7,-24.9,39.7 +TYPICAL/EXTREME PERIODS,6,Summer - Week Nearest Max Temperature For Period,Extreme,7/20,7/26,Summer - Week Nearest Average Temperature For Period,Typical,7/ 6,7/12,Winter - Week Nearest Min Temperature For Period,Extreme,12/22,1/ 5,Winter - Week Nearest Average Temperature For Period,Typical,1/13,1/19,Autumn - Week Nearest Average Temperature For Period,Typical,10/ 6,10/12,Spring - Week Nearest Average Temperature For Period,Typical,4/ 5,4/11 +GROUND TEMPERATURES,3,.5,,,,0.27,-0.61,0.96,3.40,9.80,14.74,18.07,19.09,17.36,13.53,8.40,3.65,2,,,,3.52,1.95,2.27,3.57,7.85,11.72,14.82,16.48,16.13,13.95,10.42,6.68,4,,,,6.20,4.59,4.24,4.73,7.15,9.76,12.15,13.82,14.20,13.26,11.19,8.66 +HOLIDAYS/DAYLIGHT SAVINGS,No,0,0,0 +COMMENTS 1,WYEC2-Canadian Weather year for Energy Calculations (CWEC) -- WMO#717680 +COMMENTS 2, -- Ground temps produced with a standard soil diffusivity of 2.3225760E-03 {m**2/day} +DATA PERIODS,1,1,Data,Sunday, 1/ 1,12/31 +1966,1,1,1,60,A_A__*A_9*__Q_M_Q_Q_Q_9_____________*_*___*,-5.3,-8.1,78,97720,0,9999,234,0,0,0,0,0,0,999900,180,8.9,4,4,25.0,77770,0,999999999,0,0.0000,1,88,0.000,0.0,0.0 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+1982,12,31,21,60,A_A__*A_9*__Q_M_Q_Q_Q_9_____________*_*___*,-3.9,-8.0,70,98880,0,9999,256,0,0,0,0,0,0,999900,160,2.5,10,9,25.0,900,0,999099999,0,0.0000,1,88,0.000,0.0,0.0 +1982,12,31,22,60,A_A__*A_9*__Q_M_Q_Q_Q_9_____________*_*___*,-4.1,-7.9,72,98760,0,9999,255,0,0,0,0,0,0,999900,180,4.2,10,9,25.0,900,0,999099999,0,0.0000,1,88,0.000,0.0,0.0 +1982,12,31,23,60,A_A__*A_9*__Q_M_Q_Q_Q_9_____________*_*___*,-4.3,-7.8,74,98510,0,9999,254,0,0,0,0,0,0,999900,170,3.1,10,9,25.0,900,0,999999999,0,0.0000,1,88,0.000,0.0,0.0 +1982,12,31,24,60,A_A__*A_9*__Q_M_Q_Q_Q_9_____________*_*___*,-4.7,-7.9,76,98130,0,9999,260,0,0,0,0,0,0,999900,160,2.5,10,10,25.0,900,0,999999999,0,0.0000,1,88,0.000,0.0,0.0 diff --git a/imports/weather_factory.py b/imports/weather_factory.py index 9dceff73..dd0a6558 100644 --- a/imports/weather_factory.py +++ b/imports/weather_factory.py @@ -1,11 +1,12 @@ """ WeatherFactory retrieve the specific weather module for the given source format SPDX - License - Identifier: LGPL - 3.0 - or -later -Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es +Copyright © 2020 Project Author Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca """ from pathlib import Path from imports.weather_feeders.dat_weather_parameters import DatWeatherParameters from imports.weather_feeders.xls_weather_parameters import XlsWeatherParameters +from imports.weather_feeders.epw_weather_parameters import EpwWeatherParameters class WeatherFactory: @@ -13,18 +14,29 @@ class WeatherFactory: WeatherFactory class """ - def __init__(self, handler, city, city_name, base_path=Path(Path(__file__).parent.parent / 'data/weather')): + def __init__(self, handler, city, base_path=Path(Path(__file__).parent.parent / 'data/weather'), file_name=None): self._handler = '_' + handler.lower().replace(' ', '_') self._city = city self._base_path = base_path - self._city_name = city_name + self._file_name = file_name def _dat(self): - DatWeatherParameters(self._city, self._base_path, self._city_name) + DatWeatherParameters(self._city, self._base_path) - def _tmy(self): + def _tmy3(self): raise Exception('Not implemented') + def _tm2(self): + # Meteonorm (https://meteonorm.com/en/product/typical-years) + raise Exception('Not implemented') + + def _epw(self): + # EnergyPlus Weather + # to download files: https://energyplus.net/weather + # description of the format: https://energyplus.net/sites/default/files/pdfs_v8.3.0/AuxiliaryPrograms.pdf + _path = Path(self._base_path / 'epw').resolve() + EpwWeatherParameters(self._city, _path, self._file_name) + def _xls(self): name = 'ISO_52016_1_BESTEST_ClimData_2016.08.24' XlsWeatherParameters(self._city, self._base_path, name) diff --git a/imports/weather_feeders/dat_weather_parameters.py b/imports/weather_feeders/dat_weather_parameters.py index 1b218230..25a0cd21 100644 --- a/imports/weather_feeders/dat_weather_parameters.py +++ b/imports/weather_feeders/dat_weather_parameters.py @@ -13,10 +13,11 @@ class DatWeatherParameters: """ DatWeatherParameters class """ - def __init__(self, city, path, name): + def __init__(self, city, path): self._weather_values = None self._city = city - self._city_name = name + # todo: change it to reference_weather_city_name + self._city_name = city.name file_name = 'inseldb_' + self._city_name + '.dat' self._path = Path(path / file_name) diff --git a/imports/weather_feeders/epw_weather_parameters.py b/imports/weather_feeders/epw_weather_parameters.py new file mode 100644 index 00000000..5f0f7167 --- /dev/null +++ b/imports/weather_feeders/epw_weather_parameters.py @@ -0,0 +1,109 @@ +""" +EpwWeatherParameters class to extract weather parameters from a defined region in .epw format (EnergyPlus Weather) +SPDX - License - Identifier: LGPL - 3.0 - or -later +Copyright © 2020 Project Author Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca +""" + +import pandas as pd +from pathlib import Path +import sys + + +class EpwWeatherParameters: + """ + EpwWeatherParameters class + """ + def __init__(self, city, path, file_name): + self._weather_values = None + self._city = city + self._path = Path(path / file_name) + + try: + file = open(self._path, 'r') + line = file.readline().split(',') + city_name = line[1] + latitude = line[6] + longitude = line[7] + time_zone = line[8] + for i in range(0, 2): + line = file.readline().split(',') + line = file.readline().split(',') + number_records = int(line[1]) + depth_measurement_ground_temperature = [] + ground_temperature = [] + for i in range(0, number_records): + depth_measurement_ground_temperature.append(line[i*16+2]) + temperatures = [] + for j in range(0, 12): + temperatures.append(line[i*16+j+6]) + ground_temperature.append(temperatures) + file.close() + except SystemExit: + sys.stderr.write(f'Error: weather file {self._path} not found. Please download it from ' + f'https://energyplus.net/weather and place it in folder data\weather\epw\n') + sys.exit() + + if self._weather_values is None: + try: + self._weather_values = pd.read_csv(self._path, header=0, skiprows=8, + names=['year', 'month', 'day', 'hour', 'minute', + 'data_source_and_uncertainty_flags', + 'dry_bulb_temperature_c', 'dew_point_temperature_c', + 'relative_humidity_perc', + 'atmospheric_station_pressure_pa', + 'extraterrestrial_horizontal_radiation_wh_m2', + 'extraterrestrial_direct_normal_radiation_wh_m2', + 'horizontal_infrared_radiation_intensity_wh_m2', + 'global_horizontal_radiation_wh_m2', 'direct_normal_radiation_wh_m2', + 'diffuse_horizontal_radiation_wh_m2', + 'global_horizontal_illuminance_lux', + 'direct_normal_illuminance_lux', 'diffuse_horizontal_illuminance_lux', + 'zenith_luminance_cd_m2', + 'wind_direction_deg', 'wind_speed_m_s', 'total_sky_cover', + 'opaque_sky_cover', 'visibility_km', + 'ceiling_heigh_m_s', 'present_weather_observation', + 'present_weather_codes', + 'precipitable_water_mm', 'aerosol_optical_depth_10_3_ths', + 'snow_depth_cm', + 'days_since_last_snowfall', 'albedo', 'liquid_precipitation_depth_mm', + 'liquid_precipitation_quality_hr']) + except SystemExit: + sys.stderr.write(f'Error: wrong formatting of weather file {self._path}\n') + sys.exit() + + for building in self._city.buildings: + new_value = pd.DataFrame(self._weather_values[['dry_bulb_temperature_c']].to_numpy(), columns=['epw']) + number_invalid_records = new_value[new_value.epw == 99.9].count()['epw'] + if number_invalid_records > 0: + sys.stderr.write(f'Warning: {self._path} invalid records (value of 99.9) in dry bulb temperature\n') + if 'hour' not in building.external_temperature: + building.external_temperature['hour'] = new_value + else: + pd.concat([building.external_temperature['hour'], new_value], axis=1) + + new_value = pd.DataFrame(self._weather_values[['global_horizontal_radiation_wh_m2']].to_numpy(), columns=['epw']) + number_invalid_records = new_value[new_value.epw == 9999].count()['epw'] + if number_invalid_records > 0: + sys.stderr.write(f'Warning: {self._path} invalid records (value of 9999) in global horizontal radiation\n') + if 'hour' not in building.global_horizontal: + building.global_horizontal['hour'] = new_value + else: + pd.concat([building.global_horizontal['hour'], new_value], axis=1) + + new_value = pd.DataFrame(self._weather_values[['diffuse_horizontal_radiation_wh_m2']].to_numpy(), columns=['epw']) + number_invalid_records = new_value[new_value.epw == 9999].count()['epw'] + if number_invalid_records > 0: + sys.stderr.write(f'Warning: {self._path} invalid records (value of 9999) in diffuse horizontal radiation\n') + if 'hour' not in building.diffuse: + building.diffuse['hour'] = new_value + else: + pd.concat([building.diffuse['hour'], new_value], axis=1) + + new_value = pd.DataFrame(self._weather_values[['direct_normal_radiation_wh_m2']].to_numpy(), columns=['epw']) + number_invalid_records = new_value[new_value.epw == 9999].count()['epw'] + if number_invalid_records > 0: + sys.stderr.write(f'Warning: {self._path} invalid records (value of 9999) in direct horizontal radiation\n') + if 'hour' not in building.beam: + building.beam['hour'] = new_value + else: + pd.concat([building.beam['hour'], new_value], axis=1) diff --git a/tests/test_weather_factory.py b/tests/test_weather_factory.py index 3e849d35..48528c94 100644 --- a/tests/test_weather_factory.py +++ b/tests/test_weather_factory.py @@ -22,7 +22,7 @@ class TestWeatherFactory(TestCase): self._city_gml = None self._city_with_weather = None self._city_name = 'new_york_city' - self._example_path = (Path(__file__).parent / 'tests_data').resolve() + self._example_path = (Path(__file__).parent.parent / 'data' / 'weather').resolve() def _get_citygml(self, file_path): self._city_gml = GeometryFactory('citygml', file_path).city @@ -33,7 +33,7 @@ class TestWeatherFactory(TestCase): if self._city_with_weather is None: file_path = (Path(__file__).parent / 'tests_data' / '20buildings.gml').resolve() self._city_with_weather = self._get_citygml(file_path) - WeatherFactory('dat', self._city_with_weather, city_name=self._city_name, base_path=self._example_path).enrich() + WeatherFactory('dat', self._city_with_weather, base_path=self._example_path).enrich() return self._city_with_weather def test_city_with_weather(self): @@ -55,9 +55,20 @@ class TestWeatherFactory(TestCase): def test_weather_xls(self): file_path = (Path(__file__).parent / 'tests_data' / 'iso_52016_1_2017_lod2.gml').resolve() city_with_weather = self._get_citygml(file_path) - WeatherFactory('xls', city_with_weather, city_name=self._city_name, base_path=self._example_path).enrich() + WeatherFactory('xls', city_with_weather, base_path=self._example_path).enrich() for building in city_with_weather.buildings: values = building.external_temperature['hour'][['iso52016']] self.assertFalse(values.empty, 'wrong value external_temperature') values = building.global_horizontal['hour'][['iso52016']] self.assertFalse(values.empty, 'wrong value global horizontal') + + def test_weather_epw(self): + file_path = (Path(__file__).parent / 'tests_data' / 'one_building_in_kelowna.gml').resolve() + city_with_weather = self._get_citygml(file_path) + _file_name = 'CAN_BC_Summerland.717680_CWEC.epw' + WeatherFactory('epw', city_with_weather, base_path=self._example_path, file_name=_file_name).enrich() + for building in city_with_weather.buildings: + values = building.external_temperature['hour'][['epw']] + self.assertFalse(values.empty, 'wrong value external_temperature') + values = building.global_horizontal['hour'][['epw']] + self.assertFalse(values.empty, 'wrong value global horizontal')