def test_init_prevailing_temperature_hourly():
"""Test the PrevailingTemperature object with hourly inputs."""
relative_path = './tests/epw/chicago.epw'
epw = EPW(relative_path)
prevail_obj = PrevailingTemperature(epw.dry_bulb_temperature, True)
assert isinstance(prevail_obj.hourly_prevailing_temperature,
HourlyContinuousCollection)
assert len(prevail_obj.hourly_prevailing_temperature.values) == 8760
assert isinstance(prevail_obj.daily_prevailing_temperature,
DailyCollection)
assert len(prevail_obj.daily_prevailing_temperature.values) == 365
assert isinstance(prevail_obj.monthly_prevailing_temperature,
MonthlyCollection)
assert len(prevail_obj.monthly_prevailing_temperature.values) == 12
assert isinstance(prevail_obj.monthly_per_hour_prevailing_temperature,
MonthlyPerHourCollection)
assert len(
prevail_obj.monthly_per_hour_prevailing_temperature.values) == 288
prevail_obj = PrevailingTemperature(epw.dry_bulb_temperature, False)
assert isinstance(prevail_obj.hourly_prevailing_temperature,
HourlyContinuousCollection)
assert len(prevail_obj.hourly_prevailing_temperature.values) == 8760
assert isinstance(prevail_obj.daily_prevailing_temperature,
DailyCollection)
assert len(prevail_obj.daily_prevailing_temperature.values) == 365
assert isinstance(prevail_obj.monthly_prevailing_temperature,
MonthlyCollection)
assert len(prevail_obj.monthly_prevailing_temperature.values) == 12
assert isinstance(prevail_obj.monthly_per_hour_prevailing_temperature,
MonthlyPerHourCollection)
assert len(
prevail_obj.monthly_per_hour_prevailing_temperature.values) == 288
def adaptive(result_sql, enclosure_info, epw_file, total_irradiance,
direct_irradiance, ref_irradiance, sun_up_hours, air_speed,
run_period, comfort_par, solarcal_par, folder, log_file):
"""Get CSV files with maps of Adaptive comfort from EnergyPlus and Radiance results.
\b
Args:
result_sql: Path to an SQLite file that was generated by EnergyPlus.
This file must contain hourly or sub-hourly results for zone comfort
variables.
enclosure_info: Path to a JSON file containing information about the radiant
enclosure that sensor points belong to.
epw_file: Path to an .epw file, used to estimate conditions for any outdoor
sensors and to provide prevailing outdoor temperature for the adaptive
comfort model.
"""
try:
# load the EPW object, run period, air speed, and other parameters
epw_obj = EPW(epw_file)
run_period = _load_analysis_period_str(run_period)
air_speed = _load_values(air_speed)
solarcal_par = _load_solarcal_par_str(solarcal_par)
comfort_par = _load_adaptive_par_str(comfort_par)
# load and align the thermal results from the result_sql file
pt_air_temps, pt_rad_temps, _, pt_speeds, _ = _parse_enclosure_info(
enclosure_info, result_sql, epw_obj, run_period, air_speed)
# adjust the radiant temperature for shortwave solar
pt_rad_temps = shortwave_mrt_map(epw_obj.location, pt_rad_temps,
sun_up_hours, total_irradiance,
direct_irradiance, ref_irradiance,
solarcal_par)
# compute previaling outdoor temperature so it's not recomputed for each sensor
avg_month = comfort_par.avg_month_or_running_mean \
if comfort_par is not None else True
prev_obj = PrevailingTemperature(epw_obj.dry_bulb_temperature,
avg_month)
prevail_temp = prev_obj.get_aligned_prevailing(pt_air_temps[0])
# run the collections through the Adaptive model and output results
temperature, condition, condition_intensity = [], [], []
for t_air, t_rad, vel in zip(pt_air_temps, pt_rad_temps, pt_speeds):
adaptive_obj = Adaptive.from_air_and_rad_temp(
prevail_temp, t_air, t_rad, vel, comfort_parameter=comfort_par)
temperature.append(adaptive_obj.operative_temperature)
condition.append(adaptive_obj.thermal_condition)
condition_intensity.append(adaptive_obj.degrees_from_neutral)
# write out the final results to CSV files
result_file_dict = _thermal_map_csv(folder, result_sql, temperature,
condition, condition_intensity)
log_file.write(json.dumps(result_file_dict))
except Exception as e:
_logger.exception(
'Failed to run Adaptive model comfort map.\n{}'.format(e))
sys.exit(1)
else:
sys.exit(0)
def test_init_prevailing_temperature_monthly():
"""Test the PrevailingTemperature object with monthly inputs."""
outdoor_header = Header(Temperature(), 'C', AnalysisPeriod())
outdoor_temp = MonthlyCollection(outdoor_header, range(12),
AnalysisPeriod().months_int)
outdoor_temp = outdoor_temp.validate_analysis_period()
prevail_obj = PrevailingTemperature(outdoor_temp, True)
assert isinstance(prevail_obj.hourly_prevailing_temperature,
HourlyContinuousCollection)
assert len(prevail_obj.hourly_prevailing_temperature.values) == 8760
assert isinstance(prevail_obj.daily_prevailing_temperature,
DailyCollection)
assert len(prevail_obj.daily_prevailing_temperature.values) == 365
assert isinstance(prevail_obj.monthly_prevailing_temperature,
MonthlyCollection)
assert len(prevail_obj.monthly_prevailing_temperature.values) == 12
assert isinstance(prevail_obj.monthly_per_hour_prevailing_temperature,
MonthlyPerHourCollection)
assert len(
prevail_obj.monthly_per_hour_prevailing_temperature.values) == 288
with pytest.raises(Exception):
prevail_obj = PrevailingTemperature(outdoor_temp, False)