112 lines
5.8 KiB
Python
112 lines
5.8 KiB
Python
"""
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EpwWeatherParameters class to extract weather parameters from a defined region in .epw format (EnergyPlus Weather)
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2020 Project Author Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
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"""
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import sys
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from pathlib import Path
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import pandas as pd
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import helpers.constants as cte
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class EpwWeatherParameters:
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"""
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EpwWeatherParameters class
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"""
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def __init__(self, city, path, file_name):
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self._weather_values = None
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self._city = city
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self._path = Path(path / file_name)
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try:
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file = open(self._path, 'r')
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line = file.readline().split(',')
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city.climate_reference_city = line[1]
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city.latitude = line[6]
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city.longitude = line[7]
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city.time_zone = line[8]
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for i in range(0, 2):
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line = 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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for i in range(0, number_records):
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depth_measurement_ground_temperature.append(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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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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f'https://energyplus.net/weather and place it in folder data\\weather\\epw\n')
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sys.exit()
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try:
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self._weather_values = pd.read_csv(self._path, header=0, skiprows=7,
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names=['year', 'month', 'day', 'hour', 'minute',
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'data_source_and_uncertainty_flags',
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'dry_bulb_temperature_c', 'dew_point_temperature_c',
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'relative_humidity_perc',
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'atmospheric_station_pressure_pa',
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'extraterrestrial_horizontal_radiation_wh_m2',
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'extraterrestrial_direct_normal_radiation_wh_m2',
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'horizontal_infrared_radiation_intensity_wh_m2',
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'global_horizontal_radiation_wh_m2', 'direct_normal_radiation_wh_m2',
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'diffuse_horizontal_radiation_wh_m2',
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'global_horizontal_illuminance_lux',
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'direct_normal_illuminance_lux', 'diffuse_horizontal_illuminance_lux',
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'zenith_luminance_cd_m2',
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'wind_direction_deg', 'wind_speed_m_s', 'total_sky_cover',
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'opaque_sky_cover', 'visibility_km',
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'ceiling_heigh_m_s', 'present_weather_observation',
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'present_weather_codes',
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'precipitable_water_mm', 'aerosol_optical_depth_10_3_ths',
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'snow_depth_cm',
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'days_since_last_snowfall', 'albedo', 'liquid_precipitation_depth_mm',
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'liquid_precipitation_quality_hr'])
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except SystemExit:
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sys.stderr.write(f'Error: wrong formatting of weather file {self._path}\n')
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sys.exit()
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for building in self._city.buildings:
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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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number_invalid_records = new_value[new_value.epw == 99.9].count().epw
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if number_invalid_records > 0:
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sys.stderr.write(f'Warning: {self._path} invalid records (value of 99.9) in dry bulb temperature\n')
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if cte.HOUR not in building.external_temperature:
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building.external_temperature[cte.HOUR] = new_value
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else:
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pd.concat([building.external_temperature[cte.HOUR], new_value], axis=1)
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new_value = pd.DataFrame(self._weather_values[['global_horizontal_radiation_wh_m2']].to_numpy(), columns=['epw'])
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number_invalid_records = new_value[new_value.epw == 9999].count().epw
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if number_invalid_records > 0:
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sys.stderr.write(f'Warning: {self._path} invalid records (value of 9999) in global horizontal radiation\n')
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if cte.HOUR not in building.global_horizontal:
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building.global_horizontal[cte.HOUR] = new_value
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else:
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pd.concat([building.global_horizontal[cte.HOUR], new_value], axis=1)
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new_value = pd.DataFrame(self._weather_values[['diffuse_horizontal_radiation_wh_m2']].to_numpy(), columns=['epw'])
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number_invalid_records = new_value[new_value.epw == 9999].count().epw
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if number_invalid_records > 0:
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sys.stderr.write(f'Warning: {self._path} invalid records (value of 9999) in diffuse horizontal radiation\n')
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if cte.HOUR not in building.diffuse:
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building.diffuse[cte.HOUR] = new_value
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else:
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pd.concat([building.diffuse[cte.HOUR], new_value], axis=1)
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new_value = pd.DataFrame(self._weather_values[['direct_normal_radiation_wh_m2']].to_numpy(), columns=['epw'])
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number_invalid_records = new_value[new_value.epw == 9999].count().epw
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if number_invalid_records > 0:
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sys.stderr.write(f'Warning: {self._path} invalid records (value of 9999) in direct horizontal radiation\n')
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if cte.HOUR not in building.beam:
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building.beam[cte.HOUR] = new_value
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else:
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pd.concat([building.beam[cte.HOUR], new_value], axis=1)
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