def main(output_file):
import cea.examples
archive = zipfile.ZipFile(
os.path.join(os.path.dirname(cea.examples.__file__),
'reference-case-open.zip'))
archive.extractall(tempfile.gettempdir())
reference_case = os.path.join(tempfile.gettempdir(), 'reference-case-open',
'baseline')
locator = InputLocator(reference_case)
config = cea.config.Configuration(cea.config.DEFAULT_CONFIG)
weather_path = locator.get_weather('Zug_inducity_2009')
weather_data = epwreader.epw_reader(weather_path)[[
'year', 'drybulb_C', 'wetbulb_C', 'relhum_percent', 'windspd_ms',
'skytemp_C'
]]
# run properties script
import cea.datamanagement.archetypes_mapper
cea.datamanagement.archetypes_mapper.archetypes_mapper(
locator, True, True, True, True, True, True, [])
year = weather_data['year'][0]
date_range = get_date_range_hours_from_year(year)
resolution_outputs = config.demand.resolution_output
loads_output = config.demand.loads_output
massflows_output = config.demand.massflows_output
temperatures_output = config.demand.temperatures_output
use_dynamic_infiltration_calculation = config.demand.use_dynamic_infiltration_calculation
debug = config.debug
building_properties = BuildingProperties(locator)
print("data for test_calc_thermal_loads:")
print(building_properties.list_building_names())
schedule_maker_main(locator, config, building='B1011')
bpr = building_properties['B1011']
result = calc_thermal_loads('B1011', bpr, weather_data, date_range,
locator, use_dynamic_infiltration_calculation,
resolution_outputs, loads_output,
massflows_output, temperatures_output, config,
debug)
# test the building csv file
df = pd.read_csv(locator.get_demand_results_file('B1011'))
expected_columns = list(df.columns)
print("expected_columns = %s" % repr(expected_columns))
test_config = configparser.ConfigParser()
test_config.read(output_file)
value_columns = [
u"E_sys_kWh", u"Qcdata_sys_kWh", u"Qcre_sys_kWh", u"Qcs_sys_kWh",
u"Qhs_sys_kWh", u"Qww_sys_kWh", u"Tcs_sys_re_C", u"Ths_sys_re_C",
u"Tww_sys_re_C", u"Tcs_sys_sup_C", u"Ths_sys_sup_C", u"Tww_sys_sup_C"
]
values = [float(df[column].sum()) for column in value_columns]
print("values = %s " % repr(values))
if not test_config.has_section("test_calc_thermal_loads"):
test_config.add_section("test_calc_thermal_loads")
test_config.set("test_calc_thermal_loads", "value_columns",
json.dumps(value_columns))
print(values)
test_config.set("test_calc_thermal_loads", "values", json.dumps(values))
print("data for test_calc_thermal_loads_other_buildings:")
buildings = [
'B1013', 'B1012', 'B1010', 'B1000', 'B1009', 'B1011', 'B1006', 'B1003',
'B1004', 'B1001', 'B1002', 'B1005', 'B1008', 'B1007', 'B1014'
]
results = {}
for building in buildings:
bpr = building_properties[building]
b, qhs_sys_kwh, qcs_sys_kwh, qww_sys_kwh = run_for_single_building(
building, bpr, weather_data, date_range, locator,
use_dynamic_infiltration_calculation, resolution_outputs,
loads_output, massflows_output, temperatures_output, config, debug)
print(
"'%(b)s': (%(qhs_sys_kwh).5f, %(qcs_sys_kwh).5f, %(qww_sys_kwh).5f),"
% locals())
results[building] = (qhs_sys_kwh, qcs_sys_kwh, qww_sys_kwh)
if not test_config.has_section("test_calc_thermal_loads_other_buildings"):
test_config.add_section("test_calc_thermal_loads_other_buildings")
test_config.set("test_calc_thermal_loads_other_buildings", "results",
json.dumps(results))
with open(output_file, 'w') as f:
test_config.write(f)
print("Wrote output to %(output_file)s" % locals())
def main(output_file):
import cea.examples
archive = zipfile.ZipFile(
os.path.join(os.path.dirname(cea.examples.__file__),
'reference-case-open.zip'))
archive.extractall(tempfile.gettempdir())
reference_case = os.path.join(tempfile.gettempdir(), 'reference-case-open',
'baseline')
locator = InputLocator(reference_case)
config = cea.config.Configuration(cea.config.DEFAULT_CONFIG)
weather_path = locator.get_weather('Zug')
weather_data = epwreader.epw_reader(weather_path)[[
'year', 'drybulb_C', 'wetbulb_C', 'relhum_percent', 'windspd_ms',
'skytemp_C'
]]
# run properties script
import cea.datamanagement.data_helper
cea.datamanagement.data_helper.data_helper(locator, config, True, True,
True, True, True, True)
region = config.region
year = weather_data['year'][0]
use_daysim_radiation = config.demand.use_daysim_radiation
resolution_outputs = config.demand.resolution_output
loads_output = config.demand.loads_output
massflows_output = config.demand.massflows_output
temperatures_output = config.demand.temperatures_output
format_output = config.demand.format_output
use_dynamic_infiltration_calculation = config.demand.use_dynamic_infiltration_calculation
use_stochastic_occupancy = config.demand.use_stochastic_occupancy
building_properties, schedules_dict, date = properties_and_schedule(
locator, region, year, use_daysim_radiation)
print("data for test_calc_thermal_loads:")
print(building_properties.list_building_names())
bpr = building_properties['B01']
result = calc_thermal_loads('B01', bpr, weather_data, schedules_dict, date,
locator, use_stochastic_occupancy,
use_dynamic_infiltration_calculation,
resolution_outputs, loads_output,
massflows_output, temperatures_output,
format_output, region)
# test the building csv file
df = pd.read_csv(locator.get_demand_results_file('B01'))
expected_columns = list(df.columns)
print("expected_columns = %s" % repr(expected_columns))
test_config = ConfigParser.SafeConfigParser()
test_config.read(output_file)
value_columns = [
u"E_sys_kWh", u"Qcdata_sys_kWh", u"Qcre_sys_kWh", u"Qcs_sys_kWh",
u"Qhs_sys_kWh", u"Qww_sys_kWh", u"Tcs_sys_re_C", u"Ths_sys_re_C",
u"Tww_sys_re_C", u"Tcs_sys_sup_C", u"Ths_sys_sup_C", u"Tww_sys_sup_C"
]
values = [float(df[column].sum()) for column in value_columns]
print("values = %s " % repr(values))
if not test_config.has_section("test_calc_thermal_loads"):
test_config.add_section("test_calc_thermal_loads")
test_config.set("test_calc_thermal_loads", "value_columns",
json.dumps(value_columns))
print values
test_config.set("test_calc_thermal_loads", "values", json.dumps(values))
print("data for test_calc_thermal_loads_other_buildings:")
buildings = ['B01', 'B03', 'B02', 'B05', 'B04', 'B07', 'B06', 'B09', 'B08']
results = {}
for building in buildings:
bpr = building_properties[building]
b, qhs_sys_kwh, qcs_sys_kwh, qww_sys_kwh = run_for_single_building(
building, bpr, weather_data, schedules_dict, date, locator,
use_stochastic_occupancy, use_dynamic_infiltration_calculation,
resolution_outputs, loads_output, massflows_output,
temperatures_output, format_output, region)
print(
"'%(b)s': (%(qhs_sys_kwh).5f, %(qcs_sys_kwh).5f, %(qww_sys_kwh).5f),"
% locals())
results[building] = (qhs_sys_kwh, qcs_sys_kwh, qww_sys_kwh)
if not test_config.has_section("test_calc_thermal_loads_other_buildings"):
test_config.add_section("test_calc_thermal_loads_other_buildings")
test_config.set("test_calc_thermal_loads_other_buildings", "results",
json.dumps(results))
with open(output_file, 'w') as f:
test_config.write(f)
print("Wrote output to %(output_file)s" % locals())