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Merge remote-tracking branch 'origin/retrofit_project' into retrofit_project

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Pilar Monsalvete 2023-06-06 16:09:44 -04:00
commit bd23185ca3
38 changed files with 45022 additions and 544061 deletions
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48
hub/city_model_structure/building.py
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@ -44,8 +44,8 @@ class Building(CityObject):
self._aliases = None
self._type = 'building'
self._cold_water_temperature = {}
self._heating = {}
self._cooling = {}
self._heating_demand = {}
self._cooling_demand = {}
self._lighting_electrical_demand = {}
self._appliances_electrical_demand = {}
self._domestic_hot_water_heat_demand = {}
@ -84,7 +84,7 @@ class Building(CityObject):
elif surface.type == cte.INTERIOR_SLAB:
self._interior_slabs.append(surface)
else:
logging.error(f'Building {self.name} [{self.aliases}] has an unexpected surface type {surface.type}.\n')
logging.error(f'Building %s [%s] has an unexpected surface type %s.', self.name, self.aliases, surface.type)
@property
def shell(self) -> Polyhedron:
@ -289,15 +289,15 @@ class Building(CityObject):
self._cold_water_temperature = value
@property
def heating(self) -> dict:
def heating_demand(self) -> dict:
"""
Get heating demand in Wh
:return: dict{DataFrame(float)}
"""
return self._heating
return self._heating_demand
@heating.setter
def heating(self, value):
@heating_demand.setter
def heating_demand(self, value):
"""
Set heating demand in Wh
:param value: dict{DataFrame(float)}
@ -305,15 +305,15 @@ class Building(CityObject):
self._heating = value
@property
def cooling(self) -> dict:
def cooling_demand(self) -> dict:
"""
Get cooling demand in Wh
:return: dict{DataFrame(float)}
"""
return self._cooling
return self._cooling_demand
@cooling.setter
def cooling(self, value):
@cooling_demand.setter
def cooling_demand(self, value):
"""
Set cooling demand in Wh
:param value: dict{DataFrame(float)}
@ -375,9 +375,9 @@ class Building(CityObject):
:return: dict{DataFrame(float)}
"""
results = {}
if cte.HOUR in self.heating:
if cte.HOUR in self.heating_demand:
monthly_values = PeakLoads().\
peak_loads_from_hourly(self.heating[cte.HOUR][next(iter(self.heating[cte.HOUR]))])
peak_loads_from_hourly(self.heating_demand[cte.HOUR][next(iter(self.heating_demand[cte.HOUR]))])
else:
monthly_values = PeakLoads(self).heating_peak_loads_from_methodology
if monthly_values is None:
@ -393,8 +393,8 @@ class Building(CityObject):
:return: dict{DataFrame(float)}
"""
results = {}
if cte.HOUR in self.cooling:
monthly_values = PeakLoads().peak_loads_from_hourly(self.cooling[cte.HOUR][next(iter(self.cooling[cte.HOUR]))])
if cte.HOUR in self.cooling_demand:
monthly_values = PeakLoads().peak_loads_from_hourly(self.cooling_demand[cte.HOUR][next(iter(self.cooling_demand[cte.HOUR]))])
else:
monthly_values = PeakLoads(self).cooling_peak_loads_from_methodology
if monthly_values is None:
@ -560,8 +560,8 @@ class Building(CityObject):
return: dict
"""
if len(self._heating_consumption) == 0:
for heating_demand_key in self.heating:
demand = self.heating[heating_demand_key][cte.INSEL_MEB]
for heating_demand_key in self.heating_demand:
demand = self.heating_demand[heating_demand_key][cte.INSEL_MEB]
consumption_type = cte.HEATING
final_energy_consumed = self._calculate_consumption(consumption_type, demand)
if final_energy_consumed is None:
@ -576,8 +576,8 @@ class Building(CityObject):
return: dict
"""
if len(self._cooling_consumption) == 0:
for cooling_demand_key in self.cooling:
demand = self.cooling[cooling_demand_key][cte.INSEL_MEB]
for cooling_demand_key in self.cooling_demand:
demand = self.cooling_demand[cooling_demand_key][cte.INSEL_MEB]
consumption_type = cte.COOLING
final_energy_consumed = self._calculate_consumption(consumption_type, demand)
if final_energy_consumed is None:
@ -656,18 +656,18 @@ class Building(CityObject):
if demand_type.lower() == cte.HEATING.lower():
if _peak_load_type == cte.HEATING.lower():
_consumption_fix_flow = distribution_system.distribution_consumption_fix_flow
for heating_demand_key in self.heating:
_consumption = [0]*len(self.heating[heating_demand_key][cte.INSEL_MEB])
_demand = self.heating[heating_demand_key][cte.INSEL_MEB]
for heating_demand_key in self.heating_demand:
_consumption = [0]*len(self.heating_demand[heating_demand_key][cte.INSEL_MEB])
_demand = self.heating_demand[heating_demand_key][cte.INSEL_MEB]
for i, _ in enumerate(_consumption):
_consumption[i] += (parasitic_energy_consumption + consumption_variable_flow) * _demand[i]
self._distribution_systems_electrical_consumption[heating_demand_key] = _consumption
if demand_type.lower() == cte.COOLING.lower():
if _peak_load_type == cte.COOLING.lower():
_consumption_fix_flow = distribution_system.distribution_consumption_fix_flow
for demand_key in self.cooling:
for demand_key in self.cooling_demand:
_consumption = self._distribution_systems_electrical_consumption[demand_key]
_demand = self.cooling[demand_key][cte.INSEL_MEB]
_demand = self.cooling_demand[demand_key][cte.INSEL_MEB]
for i, _ in enumerate(_consumption):
_consumption[i] += (parasitic_energy_consumption + consumption_variable_flow) * _demand[i]
self._distribution_systems_electrical_consumption[demand_key] = _consumption

6
hub/city_model_structure/building_demand/thermal_zone.py
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@ -520,10 +520,10 @@ class ThermalZone:
if _schedules_defined:
_schedules = []
for day, _ in enumerate(_days):
for day_index, day in enumerate(_days):
_schedule = copy.deepcopy(_base_schedule)
_schedule.day_types = [_days[day]]
_schedule.values = values[:day]
_schedule.day_types = [day]
_schedule.values = values[:day_index]
_schedules.append(_schedule)
_internal_gain.average_internal_gain = _average_internal_gain

10
hub/city_model_structure/city.py
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@ -82,11 +82,19 @@ class City:
@property
def country_code(self):
"""
Get models country code
Get city country code
:return: str
"""
return self._get_location().country
@property
def region_code(self):
"""
Get city region name
:return: str
"""
return self._get_location().region_code
@property
def location(self) -> Location:
"""

44855
hub/data/geolocation/admin2Codes.txt Normal file
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2
hub/data/weather/epw/.gitignore vendored Normal file
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@ -0,0 +1,2 @@
*
!.gitignore

8768
hub/data/weather/epw/CAN_BC_Summerland.717680_CWEC.epw
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File diff suppressed because it is too large Load Diff

8768
hub/data/weather/epw/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw
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File diff suppressed because it is too large Load Diff

8760
hub/data/weather/inseldb_new_york_city.dat
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File diff suppressed because it is too large Load Diff

2
hub/exports/formats/simplified_radiosity_algorithm.py
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@ -56,7 +56,7 @@ class SimplifiedRadiosityAlgorithm:
def _export_sra_cli(self):
file = self._city.climate_file
days_in_month = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
WeatherFactory(self._weather_format, self._city, file_name=self._weather_file).enrich()
WeatherFactory(self._weather_format, self._city).enrich()
content = self._city.name + '\n'
content += str(self._city.latitude) + ',' + str(self._city.longitude) + ',0.0,' + str(self._city.time_zone) + '\n'
content += '\ndm m h G_Dh G_Bn\n'

7
hub/helpers/geometry_helper.py
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@ -295,6 +295,7 @@ class GeometryHelper:
distance = math.inf
country = 'Unknown'
city = 'Unknown'
region_code = 'Unknown'
with open(_data_path, 'r', encoding='utf-8') as file:
for _, line in enumerate(file):
fields = line.split('\t')
@ -302,12 +303,16 @@ class GeometryHelper:
file_latitude = float(fields[4])
file_longitude = float(fields[5])
file_country_code = fields[8]
admin1_code = fields[10]
admin2_code = fields[11]
new_distance = math.sqrt(pow((latitude - file_latitude), 2) + pow((longitude - file_longitude), 2))
if distance > new_distance:
distance = new_distance
country = file_country_code
city = file_city_name
return Location(country, city)
region_code = f'{file_country_code}.{admin1_code}.{admin2_code}'
return Location(country, city, region_code)
@staticmethod
def distance_between_points(vertex1, vertex2):

14
hub/helpers/location.py
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@ -11,20 +11,28 @@ class Location:
"""
Location
"""
def __init__(self, country, city):
def __init__(self, country, city, region_code):
self._country = country
self._city = city
self._region_code = region_code
@property
def city(self):
"""
City name
Get city name
"""
return self._city
@property
def country(self):
"""
Country code
Get country code
"""
return self._country
@property
def region_code(self):
"""
Get region
"""
return self._region_code

10
hub/imports/construction/nrcan_physics_parameters.py
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@ -35,16 +35,16 @@ class NrcanPhysicsParameters:
nrcan_catalog = ConstructionCatalogFactory('nrcan').catalog
for building in city.buildings:
if building.function not in Dictionaries().hub_function_to_nrcan_construction_function.keys():
logging.error(f'Building {building.name} has an unknown building function {building.function}\n')
logging.error(f'Building %s has an unknown building function %s', building.name, building.function )
continue
function = Dictionaries().hub_function_to_nrcan_construction_function[building.function]
try:
archetype = self._search_archetype(nrcan_catalog, function, building.year_of_construction, self._climate_zone)
except KeyError:
logging.error(f'Building {building.name} has unknown construction archetype for building function: {function} '
f'[{building.function}], building year of construction: {building.year_of_construction} '
f'and climate zone {self._climate_zone}\n')
logging.error(f'Building %s has unknown construction archetype for building function: %s '
f'[%s], building year of construction: %s and climate zone %s', building.name, function,
building.function, building.year_of_construction, self._climate_zone)
continue
# if building has no thermal zones defined from geometry, and the building will be divided in storeys,
@ -100,7 +100,7 @@ class NrcanPhysicsParameters:
thermal_boundary.construction_name = construction_archetype.name
try:
thermal_boundary.window_ratio = 0
if thermal_boundary.type == cte.WALL or thermal_boundary.type == cte.ROOF:
if thermal_boundary.type in ( cte.WALL, cte.ROOF):
if construction_archetype.window is not None:
if -math.sqrt(2) / 2 < math.sin(thermal_boundary.parent_surface.azimuth) < math.sqrt(2) / 2:
if 0 < math.cos(thermal_boundary.parent_surface.azimuth):

7
hub/imports/construction/nrel_physics_parameters.py
View File

@ -32,11 +32,8 @@ class NrelPhysicsParameters:
city = self._city
nrel_catalog = ConstructionCatalogFactory('nrel').catalog
for building in city.buildings:
if building.function not in Dictionaries().hub_function_to_nrel_construction_function.keys():
logging.error(f'Building {building.name} has unknown function [{building.function}]')
continue
if building.function not in Dictionaries().hub_function_to_nrel_construction_function.keys():
logging.error(f'Building {building.name} has unknown function {building.function}\n')
if building.function not in Dictionaries().hub_function_to_nrel_construction_function:
logging.error(f'Building %s has unknown function %s', building.name, building.function)
continue
function = Dictionaries().hub_function_to_nrel_construction_function[building.function]
try:

10
hub/imports/results/insel_monthly_energry_balance.py
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@ -117,11 +117,11 @@ class InselMonthlyEnergyBalance:
file_name = building.name + '.out'
insel_output_file_path = Path(self._base_path / file_name).resolve()
if insel_output_file_path.is_file():
building.heating[cte.MONTH], building.cooling[cte.MONTH] = self._conditioning_demand(insel_output_file_path)
building.heating[cte.YEAR] = pd.DataFrame(
[building.heating[cte.MONTH][cte.INSEL_MEB].astype(float).sum()], columns=[cte.INSEL_MEB]
building.heating_demand[cte.MONTH], building.cooling_demand[cte.MONTH] = self._conditioning_demand(insel_output_file_path)
building.heating_demand[cte.YEAR] = pd.DataFrame(
[building.heating_demand[cte.MONTH][cte.INSEL_MEB].astype(float).sum()], columns=[cte.INSEL_MEB]
)
building.cooling[cte.YEAR] = pd.DataFrame(
[building.cooling[cte.MONTH][cte.INSEL_MEB].astype(float).sum()], columns=[cte.INSEL_MEB]
building.cooling_demand[cte.YEAR] = pd.DataFrame(
[building.cooling_demand[cte.MONTH][cte.INSEL_MEB].astype(float).sum()], columns=[cte.INSEL_MEB]
)
self._dhw_and_electric_demand()

57
hub/imports/weather/dat_weather_parameters.py
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@ -1,57 +0,0 @@
"""
DatWeatherParameters class to extract weather parameters from a defined region in .dat format
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import logging
import sys
from pathlib import Path
import pandas as pd
import hub.helpers.constants as cte
class DatWeatherParameters:
"""
DatWeatherParameters class
"""
def __init__(self, city, path):
self._weather_values = None
self._city = city
self._city_name = city.climate_reference_city
file_name = 'inseldb_' + self._city_name + '.dat'
self._path = Path(path / file_name)
if self._weather_values is None:
try:
self._weather_values = pd.read_csv(self._path, sep=r'\s+', header=None,
names=['hour', 'global_horiz', 'temperature', 'diffuse', 'beam', 'empty'])
except SystemExit:
logging.Logger(f'Error: weather file {self._path} not found\n')
sys.exit()
for building in self._city.buildings:
new_value = pd.DataFrame(self._weather_values[['temperature']].to_numpy(), columns=['inseldb'])
if cte.HOUR not in building.external_temperature:
building.external_temperature[cte.HOUR] = new_value
else:
pd.concat([building.external_temperature[cte.HOUR], new_value], axis=1)
new_value = pd.DataFrame(self._weather_values[['global_horiz']].to_numpy(), columns=['inseldb'])
if cte.HOUR not in building.global_horizontal:
building.global_horizontal[cte.HOUR] = new_value
else:
pd.concat([building.global_horizontal[cte.HOUR], new_value], axis=1)
new_value = pd.DataFrame(self._weather_values[['diffuse']].to_numpy(), columns=['inseldb'])
if cte.HOUR not in building.diffuse:
building.diffuse[cte.HOUR] = new_value
else:
pd.concat([building.diffuse[cte.HOUR], new_value], axis=1)
new_value = pd.DataFrame(self._weather_values[['beam']].to_numpy(), columns=['inseldb'])
if cte.HOUR not in building.beam:
building.beam[cte.HOUR] = new_value
else:
pd.concat([building.beam[cte.HOUR], new_value], axis=1)

12
hub/imports/weather/epw_weather_parameters.py
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@ -7,8 +7,12 @@ Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
import logging
import sys
from pathlib import Path
import pandas as pd
import requests
import hub.helpers.constants as cte
from hub.city_model_structure.city import City
from hub.imports.weather.helpers.weather import Weather as wh
@ -16,10 +20,14 @@ class EpwWeatherParameters:
"""
EpwWeatherParameters class
"""
def __init__(self, city, path, file_name):
def __init__(self, city: City):
self._weather_values = None
self._city = city
self._path = Path(path / file_name)
self._url = wh().epw_file(city.region_code)
self._path = (Path(__file__).parent.parent.parent / f'data/weather/epw/{self._url.rsplit("/", 1)[1]}').resolve()
if not self._path.exists():
with open(self._path, 'wb') as epw_file:
epw_file.write(requests.get(self._url, allow_redirects=True).content)
try:
with open(self._path, 'r', encoding='utf8') as file:

20
hub/imports/weather/helpers/weather.py
View File

@ -4,7 +4,7 @@ SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import logging
import math
import calendar as cal
import pandas as pd
@ -17,6 +17,14 @@ class Weather:
Weather class
"""
# todo: this dictionary need to be completed, a data science student task?
_epw_file = {
'CA.02.5935': 'https://energyplus-weather.s3.amazonaws.com/north_and_central_america_wmo_region_4/CAN/BC/CAN_BC_Summerland.717680_CWEC/CAN_BC_Summerland.717680_CWEC.epw',
'CA.10.06': 'https://energyplus-weather.s3.amazonaws.com/north_and_central_america_wmo_region_4/CAN/PQ/CAN_PQ_Montreal.Intl.AP.716270_CWEC/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw',
'DE.01.082': 'https://energyplus-weather.s3.amazonaws.com/europe_wmo_region_6/DEU/DEU_Stuttgart.107380_IWEC/DEU_Stuttgart.107380_IWEC.epw',
'US.NY.047': 'https://energyplus-weather.s3.amazonaws.com/north_and_central_america_wmo_region_4/USA/NY/USA_NY_New.York.City-Central.Park.94728_TMY/USA_NY_New.York.City-Central.Park.94728_TMY.epw'
}
@staticmethod
def sky_temperature(ambient_temperature):
"""
@ -111,3 +119,13 @@ class Weather:
total_hours = days_of_month * 24
array = np.concatenate((array, np.full(total_hours, i + 1)))
return pd.DataFrame(array, columns=['month'])
def epw_file(self, region_code):
"""
returns the url for the weather file for the given location or default (Montreal data)
:return: str
"""
if region_code not in self._epw_file:
logging.warning('Specific weather data unknown for %s using Montreal data instead', region_code)
return self._epw_file['CA.10.06']
return self._epw_file[region_code]

48
hub/imports/weather/xls_weather_parameters.py
View File

@ -1,48 +0,0 @@
"""
XlsWeatherParameters class to extract weather parameters from a defined region in .xls format
defined and used by the norm iso 52016-1:2017
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import sys
from pathlib import Path
import pandas as pd
import hub.helpers.constants as cte
class XlsWeatherParameters:
"""
XlsWeatherParameters class
"""
def __init__(self, city, path, name):
self._weather_values = None
self._city = city
self._file_name = name
file_name = self._file_name + '.xls'
self._path = Path(path / file_name)
if self._weather_values is None:
try:
self._weather_values = pd.read_excel(self._path, skiprows=4, nrows=9504,
names=['hours_calc', 'month', 'week', 'day_of_week', 'hours_of_day',
'temperature', 'I_sol_vertical_N', 'I_sol_vertical_E',
'I_sol_vertical_S', 'I_sol_vertical_W', 'I_sol_45_N', 'I_sol_45_S',
'void', 'global_horiz', 'wind_velocity', 'humidity'])
except SystemExit:
sys.stderr.write(f'Error reading weather file {self._path}\n')
sys.exit()
for building in self._city.buildings:
new_value = pd.DataFrame(self._weather_values[['temperature']].to_numpy(), columns=['iso52016'])
if cte.HOUR not in building.external_temperature:
building.external_temperature[cte.HOUR] = new_value
else:
pd.concat([building.external_temperature[cte.HOUR], new_value], axis=1)
new_value = pd.DataFrame(self._weather_values[['global_horiz']].to_numpy(), columns=['iso52016'])
if cte.HOUR not in building.global_horizontal:
building.global_horizontal[cte.HOUR] = new_value
else:
pd.concat([building.global_horizontal[cte.HOUR], new_value], axis=1)

18
hub/imports/weather_factory.py
View File

@ -6,9 +6,9 @@ Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
from pathlib import Path
from hub.city_model_structure.city import City
from hub.helpers.utils import validate_import_export_type
from hub.imports.weather.epw_weather_parameters import EpwWeatherParameters
from hub.imports.weather.xls_weather_parameters import XlsWeatherParameters
class WeatherFactory:
@ -16,14 +16,10 @@ class WeatherFactory:
WeatherFactory class
"""
def __init__(self, handler, city, base_path=None, file_name=None):
if base_path is None:
base_path = Path(Path(__file__).parent.parent / 'data/weather')
def __init__(self, handler, city: City):
self._handler = '_' + handler.lower().replace(' ', '_')
validate_import_export_type(WeatherFactory, handler)
self._city = city
self._base_path = base_path
self._file_name = file_name
def _epw(self):
"""
@ -32,15 +28,7 @@ class WeatherFactory:
# 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()
return EpwWeatherParameters(self._city, _path, self._file_name)
def _xls(self):
"""
Enrich the city with ISO_52016_1_BESTEST_ClimData_2016.08.24 weather file
"""
name = 'ISO_52016_1_BESTEST_ClimData_2016.08.24'
return XlsWeatherParameters(self._city, self._base_path, name)
return EpwWeatherParameters(self._city)
def enrich(self):
"""

1
hub/persistence/db_control.py
View File

@ -211,4 +211,3 @@ class DBControl:
:param application_uuid: the id of the application to get
"""
self._application.delete(application_uuid)

1
tests/test_city_merge.py
View File

@ -22,7 +22,6 @@ class TestCityMerge(TestCase):
"""
self._example_path = (Path(__file__).parent / 'tests_data').resolve()
self._output_path = (Path(__file__).parent / 'tests_outputs').resolve()
self._weather_file = (self._example_path / 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').resolve()
self._executable = 'sra'
def _get_citygml(self, file):

6
tests/test_construction_factory.py
View File

@ -96,8 +96,8 @@ class TestConstructionFactory(TestCase):
self.assertIsNotNone(building.function, 'building function is none')
self.assertIsNotNone(building.average_storey_height, 'building average_storey_height is none')
self.assertIsNotNone(building.storeys_above_ground, 'building storeys_above_ground is none')
self.assertEqual(len(building.heating), 0, 'building heating is not none')
self.assertEqual(len(building.cooling), 0, 'building cooling is not none')
self.assertEqual(len(building.heating_demand), 0, 'building heating is not none')
self.assertEqual(len(building.cooling_demand), 0, 'building cooling is not none')
self.assertIsNotNone(building.eave_height, 'building eave height is none')
self.assertIsNotNone(building.roof_type, 'building roof type is none')
self.assertIsNotNone(building.floor_area, 'building floor_area is none')
@ -264,7 +264,7 @@ class TestConstructionFactory(TestCase):
self._check_thermal_openings(thermal_boundary)
self._check_surfaces(thermal_boundary)
file_path = (self._example_path / 'concordia.geojson').resolve()
file_path = (self._example_path / 'test.geojson').resolve()
self._city = GeometryFactory('geojson',
path=file_path,
height_field='citygml_me',

8
tests/test_custom_insel_block.py
View File

@ -4,7 +4,7 @@ SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import logging
from pathlib import Path
from unittest import TestCase
import pandas as pd
@ -83,7 +83,7 @@ class TestExports(TestCase):
export to Insel MonthlyEnergyBalance
"""
city = self._get_citygml('one_building_in_kelowna.gml')
WeatherFactory('epw', city, file_name='CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').enrich()
WeatherFactory('epw', city).enrich()
for building in city.buildings:
building.external_temperature[cte.MONTH] = MonthlyValues().\
get_mean_values(building.external_temperature[cte.HOUR][['epw']])
@ -147,6 +147,6 @@ class TestExports(TestCase):
# export files
try:
EnergyBuildingsExportsFactory('insel_monthly_energy_balance', city, self._output_path, 'MEB_Montreal').export()
except Exception:
print(Exception)
except Exception as err:
logging.exception(err)
self.fail("Insel MonthlyEnergyBalance ExportsFactory raised ExceptionType unexpectedly!")

12
tests/test_db_factory.py
View File

@ -79,7 +79,7 @@ class Control:
function_to_hub=Dictionaries().alkis_function_to_hub_function).city
ConstructionFactory('nrcan', self._city).enrich()
UsageFactory('nrcan', self._city).enrich()
WeatherFactory('epw', self._city, file_name='CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').enrich()
WeatherFactory('epw', self._city).enrich()
ExportsFactory('sra', self._city, output_path, weather_file=weather_file, weather_format='epw').export()
sra_file = str((output_path / f'{self._city.name}_sra.xml').resolve())
subprocess.run([self.sra, sra_file], stdout=subprocess.DEVNULL)
@ -198,17 +198,17 @@ TestDBFactory
city_objects_id = []
for building in control.city.buildings:
_building = control.database.building_info(building.name, city_id)
if cte.MONTH not in building.cooling:
if cte.MONTH not in building.cooling_demand:
print(f'building {building.name} not calculated')
continue
monthly_cooling_peak_load = building.cooling_peak_load[cte.MONTH]
yearly_cooling_peak_load = building.cooling_peak_load[cte.YEAR]
monthly_heating_peak_load = building.heating_peak_load[cte.MONTH]
yearly_heating_peak_load = building.heating_peak_load[cte.YEAR]
monthly_cooling_demand = building.cooling[cte.MONTH][cte.INSEL_MEB]
yearly_cooling_demand = building.cooling[cte.YEAR][cte.INSEL_MEB]
monthly_heating_demand = building.heating[cte.MONTH][cte.INSEL_MEB]
yearly_heating_demand = building.heating[cte.YEAR][cte.INSEL_MEB]
monthly_cooling_demand = building.cooling_demand[cte.MONTH][cte.INSEL_MEB]
yearly_cooling_demand = building.cooling_demand[cte.YEAR][cte.INSEL_MEB]
monthly_heating_demand = building.heating_demand[cte.MONTH][cte.INSEL_MEB]
yearly_heating_demand = building.heating_demand[cte.YEAR][cte.INSEL_MEB]
monthly_lighting_electrical_demand = building.lighting_electrical_demand[cte.MONTH][cte.INSEL_MEB]
yearly_lighting_electrical_demand = building.lighting_electrical_demand[cte.YEAR][cte.INSEL_MEB]
monthly_appliances_electrical_demand = building.appliances_electrical_demand[cte.MONTH][cte.INSEL_MEB]

10
tests/test_exports.py
View File

@ -58,10 +58,10 @@ class TestExports(TestCase):
self._complete_city.climate_reference_city = 'Summerland'
dummy_measures = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
for building in self._complete_city.buildings:
building.heating[cte.MONTH] = pd.DataFrame({'INSEL': dummy_measures})
building.cooling[cte.MONTH] = pd.DataFrame({'INSEL': dummy_measures})
building.heating[cte.YEAR] = pd.DataFrame({'INSEL': [0.0]})
building.cooling[cte.YEAR] = pd.DataFrame({'INSEL': [0.0]})
building.heating_demand[cte.MONTH] = pd.DataFrame({'INSEL': dummy_measures})
building.cooling_demand[cte.MONTH] = pd.DataFrame({'INSEL': dummy_measures})
building.heating_demand[cte.YEAR] = pd.DataFrame({'INSEL': [0.0]})
building.cooling_demand[cte.YEAR] = pd.DataFrame({'INSEL': [0.0]})
return self._complete_city
def _export(self, export_type, from_pickle=False):
@ -110,7 +110,7 @@ class TestExports(TestCase):
ConstructionFactory('nrcan', city).enrich()
EnergyBuildingsExportsFactory('idf', city, self._output_path).export()
UsageFactory('nrcan', city).enrich()
WeatherFactory('epw', city, file_name='CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').enrich()
WeatherFactory('epw', city).enrich()
try:
EnergyBuildingsExportsFactory('idf', city, self._output_path).export()
except Exception:

46
tests/test_geometry_factory.py
View File

@ -68,8 +68,8 @@ class TestGeometryFactory(TestCase):
self.assertIsNone(building.terrains, 'building terrains is not none')
self.assertIsNone(building.average_storey_height, 'building average_storey_height is not none')
self.assertIsNone(building.storeys_above_ground, 'building storeys_above_ground is not none')
self.assertEqual(len(building.heating), 0, 'building heating is not none')
self.assertEqual(len(building.cooling), 0, 'building cooling is not none')
self.assertEqual(len(building.heating_demand), 0, 'building heating is not none')
self.assertEqual(len(building.cooling_demand), 0, 'building cooling is not none')
self.assertIsNotNone(building.eave_height, 'building eave height is none')
self.assertIsNotNone(building.roof_type, 'building roof type is none')
self.assertIsNotNone(building.floor_area, 'building floor_area is none')
@ -134,25 +134,25 @@ class TestGeometryFactory(TestCase):
"""
Test geojson import
"""
file = Path(self._example_path / '2000_buildings.geojson').resolve()
file = Path(self._example_path / 'test.geojson').resolve()
city = GeometryFactory('geojson',
path=file,
height_field='building_height',
height_field='citygml_me',
year_of_construction_field='ANNEE_CONS',
aliases_field=['ID_UEV', 'CIVIQUE_DE', 'NOM_RUE'],
function_field='CODE_UTILI',
function_to_hub=MontrealFunctionToHubFunction().dictionary).city
hub.exports.exports_factory.ExportsFactory('obj', city, self._output_path).export()
for building in city.building_alias('01040584'):
self.assertEqual('0', building.name, 'Wrong building name when looking for alias')
self.assertEqual(14, len(city.building_alias('rue Sherbrooke Ouest (MTL+MTO+WMT)')))
self.assertEqual(1964, len(city.buildings), 'wrong number of buildings')
for building in city.building_alias('01002777'):
self.assertEqual('1', building.name, 'Wrong building name when looking for alias')
self.assertEqual(8, len(city.building_alias('rue Sherbrooke Ouest (MTL+MTO+WMT)')))
self.assertEqual(17, len(city.buildings), 'wrong number of buildings')
def test_map_neighbours(self):
"""
Test neighbours map creation
"""
file = 'neighbours.geojson'
file = 'test.geojson'
city = self._get_city(file, 'geojson',
year_of_construction_field='ANNEE_CONS',
@ -165,12 +165,24 @@ class TestGeometryFactory(TestCase):
info_lod1 = GeometryHelper.city_mapping(city, plot=False)
hub.exports.exports_factory.ExportsFactory('obj', city, self._output_path).export()
self.assertEqual(info_lod0, info_lod1)
for building in city.buildings:
self.assertEqual(2, len(building.neighbours))
self.assertEqual(2, len(city.city_object('1').neighbours))
self.assertEqual(3, len(city.city_object('2').neighbours))
self.assertEqual(2, len(city.city_object('3').neighbours))
self.assertEqual(2, len(city.city_object('4').neighbours))
self.assertEqual(3, len(city.city_object('5').neighbours))
self.assertEqual(3, len(city.city_object('6').neighbours))
self.assertEqual(1, len(city.city_object('8').neighbours))
self.assertEqual(2, len(city.city_object('9').neighbours))
self.assertEqual(2, len(city.city_object('10').neighbours))
self.assertEqual(2, len(city.city_object('11').neighbours))
self.assertEqual(2, len(city.city_object('12').neighbours))
self.assertEqual(1, len(city.city_object('13').neighbours))
self.assertEqual(2, len(city.city_object('14').neighbours))
self.assertEqual(1, len(city.city_object('15').neighbours))
self.assertEqual(1, len(city.city_object('16').neighbours))
self.assertEqual(2, len(city.city_object('67').neighbours))
self.assertEqual(1, len(city.city_object('68').neighbours))
self.assertEqual('2', city.city_object('1').neighbours[0].name)
self.assertEqual('3', city.city_object('1').neighbours[1].name)
self.assertEqual('1', city.city_object('2').neighbours[0].name)
self.assertEqual('3', city.city_object('2').neighbours[1].name)
self.assertEqual('1', city.city_object('3').neighbours[0].name)
self.assertEqual('2', city.city_object('3').neighbours[1].name)
self.assertEqual('12', city.city_object('8').neighbours[0].name)
self.assertEqual('14', city.city_object('13').neighbours[0].name)
self.assertEqual('14', city.city_object('15').neighbours[0].name)

4
tests/test_greenery_in_idf.py
View File

@ -31,7 +31,7 @@ class GreeneryInIdf(TestCase):
building.year_of_construction = 2006
ConstructionFactory('nrel', city).enrich()
UsageFactory('comnet', city).enrich()
WeatherFactory('epw', city, file_name='CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').enrich()
WeatherFactory('epw', city).enrich()
vegetation_name = 'BaseEco'
soil_thickness = 0.18
soil_name = 'EcoRoofSoil'
@ -73,6 +73,6 @@ class GreeneryInIdf(TestCase):
building.year_of_construction = 2006
ConstructionFactory('nrel', city).enrich()
UsageFactory('comnet', city).enrich()
WeatherFactory('epw', city, file_name='CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').enrich()
WeatherFactory('epw', city).enrich()
_idf = EnergyBuildingsExportsFactory('idf', city, output_path).export()
self.assertIsNotNone(_idf)

2
tests/test_insel_exports.py
View File

@ -83,7 +83,7 @@ class TestExports(TestCase):
export to Insel MonthlyEnergyBalance
"""
city = self._get_citygml('one_building_in_kelowna.gml')
WeatherFactory('epw', city, file_name='CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').enrich()
WeatherFactory('epw', city).enrich()
for building in city.buildings:
building.external_temperature[cte.MONTH] = MonthlyValues().\
get_mean_values(building.external_temperature[cte.HOUR][['epw']])

21
tests/test_results_import.py
View File

@ -39,8 +39,7 @@ class TestResultsImport(TestCase):
UsageFactory('nrcan', self._city).enrich()
def test_sra_import(self):
weather_file = (self._example_path / 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').resolve()
ExportsFactory('sra', self._city, self._output_path, weather_file=weather_file, weather_format='epw').export()
ExportsFactory('sra', self._city, self._output_path).export()
sra_path = (self._output_path / f'{self._city.name}_sra.xml').resolve()
subprocess.run(['sra', str(sra_path)])
ResultFactory('sra', self._city, self._output_path).enrich()
@ -50,8 +49,7 @@ class TestResultsImport(TestCase):
self.assertIsNotNone(surface.global_irradiance)
def test_meb_import(self):
weather_file = (self._example_path / 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').resolve()
ExportsFactory('sra', self._city, self._output_path, weather_file=weather_file, weather_format='epw').export()
ExportsFactory('sra', self._city, self._output_path, weather_file='CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw', weather_format='epw').export()
sra_path = (self._output_path / f'{self._city.name}_sra.xml').resolve()
subprocess.run(['sra', str(sra_path)])
ResultFactory('sra', self._city, self._output_path).enrich()
@ -62,15 +60,14 @@ class TestResultsImport(TestCase):
ResultFactory('insel_monthly_energy_balance', self._city, self._output_path).enrich()
# Check that all the buildings have heating and cooling values
for building in self._city.buildings:
self.assertIsNotNone(building.heating[cte.MONTH][cte.INSEL_MEB])
self.assertIsNotNone(building.cooling[cte.MONTH][cte.INSEL_MEB])
self.assertIsNotNone(building.heating[cte.YEAR][cte.INSEL_MEB])
self.assertIsNotNone(building.cooling[cte.YEAR][cte.INSEL_MEB])
self.assertIsNotNone(building.heating_demand[cte.MONTH][cte.INSEL_MEB])
self.assertIsNotNone(building.cooling_demand[cte.MONTH][cte.INSEL_MEB])
self.assertIsNotNone(building.heating_demand[cte.YEAR][cte.INSEL_MEB])
self.assertIsNotNone(building.cooling_demand[cte.YEAR][cte.INSEL_MEB])
def test_peak_loads(self):
# todo: this is not technically a import
weather_file = (self._example_path / 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').resolve()
ExportsFactory('sra', self._city, self._output_path, weather_file=weather_file, weather_format='epw').export()
ExportsFactory('sra', self._city, self._output_path, weather_file='CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw', weather_format='epw').export()
sra_path = (self._output_path / f'{self._city.name}_sra.xml').resolve()
subprocess.run(['sra', str(sra_path)])
ResultFactory('sra', self._city, self._output_path).enrich()
@ -83,7 +80,7 @@ class TestResultsImport(TestCase):
expected_monthly_list = [0 for _ in range(12)]
expected_monthly_list[0] = 1000
for building in self._city.buildings:
building.heating[cte.HOUR] = pd.DataFrame(values, columns=['dummy'])
building.cooling[cte.HOUR] = pd.DataFrame(values, columns=['dummy'])
building.heating_demand[cte.HOUR] = pd.DataFrame(values, columns=['dummy'])
building.cooling_demand[cte.HOUR] = pd.DataFrame(values, columns=['dummy'])
self.assertIsNotNone(building.heating_peak_load)
self.assertIsNotNone(building.cooling_peak_load)

6
tests/test_systems_factory.py
View File

@ -16,6 +16,7 @@ from hub.exports.exports_factory import ExportsFactory
from hub.helpers.dictionaries import Dictionaries
from hub.imports.construction_factory import ConstructionFactory
from hub.imports.geometry_factory import GeometryFactory
from hub.imports.weather_factory import WeatherFactory
from hub.imports.results_factory import ResultFactory
from hub.imports.usage_factory import UsageFactory
from hub.imports.energy_systems_factory import EnergySystemsFactory
@ -57,8 +58,8 @@ class TestSystemsFactory(TestCase):
"""
ConstructionFactory('nrcan', self._city).enrich()
UsageFactory('nrcan', self._city).enrich()
weather_file = (self._example_path / 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').resolve()
ExportsFactory('sra', self._city, self._output_path, weather_file=weather_file, weather_format='epw').export()
WeatherFactory('epw', self._city).enrich()
ExportsFactory('sra', self._city, self._output_path).export()
sra_path = (self._output_path / f'{self._city.name}_sra.xml').resolve()
subprocess.run(['sra', str(sra_path)])
ResultFactory('sra', self._city, self._output_path).enrich()
@ -112,4 +113,3 @@ class TestSystemsFactory(TestCase):
self.assertLess(0, building.cooling_consumption[cte.YEAR][0])
self.assertLess(0, building.domestic_hot_water_consumption[cte.YEAR][0])
self.assertLess(0, building.onsite_electrical_production[cte.YEAR][0])
print(building.heating_consumption[cte.YEAR][0], building.cooling_consumption[cte.YEAR][0], building.domestic_hot_water_consumption[cte.YEAR][0], building.onsite_electrical_production[cte.YEAR][0])

6
tests/test_usage_factory.py
View File

@ -59,8 +59,8 @@ class TestUsageFactory(TestCase):
self.assertIsNone(building.terrains, 'building terrains is not none')
self.assertIsNotNone(building.year_of_construction, 'building year_of_construction is none')
self.assertIsNotNone(building.function, 'building function is none')
self.assertEqual(len(building.heating), 0, 'building heating is not none')
self.assertEqual(len(building.cooling), 0, 'building cooling is not none')
self.assertEqual(len(building.heating_demand), 0, 'building heating is not none')
self.assertEqual(len(building.cooling_demand), 0, 'building cooling is not none')
self.assertIsNotNone(building.eave_height, 'building eave height is none')
self.assertIsNotNone(building.roof_type, 'building roof type is none')
self.assertIsNotNone(building.floor_area, 'building floor_area is none')
@ -130,7 +130,7 @@ class TestUsageFactory(TestCase):
"""
Enrich the city with the usage information from nrcan and verify it
"""
file = 'concordia.geojson'
file = 'test.geojson'
file_path = (self._example_path / file).resolve()
city = GeometryFactory('geojson',
path=file_path,

256070
tests/tests_data/2000_buildings.geojson
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8768
tests/tests_data/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw
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191088
tests/tests_data/FZK-Haus-LoD4-KIT-IAI-KHH-B36-V1.gml
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8764
tests/tests_data/New_York.cli
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File diff suppressed because it is too large Load Diff

52251
tests/tests_data/concordia.geojson
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File diff suppressed because it is too large Load Diff

594
tests/tests_data/neighbours.geojson
View File

@ -1,594 +0,0 @@
{
"type":"FeatureCollection",
"features":[
{
"type":"Feature",
"id":1,
"geometry":{
"type":"Polygon",
"coordinates":[
[
[
-73.580414175680588,
45.497641136608358
],
[
-73.580414175680588,
45.498641136608358
],
[
-73.581414175680588,
45.498641136608358
],
[
-73.581414175680588,
45.497641136608358
],
[
-73.580414175680588,
45.497641136608358
]
]
]
},
"properties":{
"OBJECTID_12":1,
"gml_id":"1340908",
"gml_parent":"fme-gen-5fa2a82b-c38e-4bf0-9e8f-10a47b9f64f7",
"citygml_ta":"http://www.opengis.net/citygml/building/2.0",
"citygml_fe":"cityObjectMember",
"citygml__1":" ",
"citygml__2":" ",
"gml_descri":" ",
"gml_name":" ",
"citygml_cr":" ",
"citygml_te":" ",
"externalRe":" ",
"external_1":" ",
"external_2":" ",
"citygml_ge":" ",
"citygml_re":" ",
"citygml__3":" ",
"citygml_ap":" ",
"citygml_cl":" ",
"citygml__4":" ",
"citygml_fu":" ",
"citygml__5":" ",
"citygml_us":" ",
"citygml__6":" ",
"citygml_ye":" ",
"citygml__7":" ",
"citygml_ro":" ",
"citygml__8":" ",
"citygml_me":21.824000000000002,
"citygml__9":"#m",
"citygml_st":" ",
"citygml_10":" ",
"citygml_11":" ",
"citygml_12":" ",
"citygml_13":" ",
"citygml_14":" ",
"citygml_ou":" ",
"citygml_in":" ",
"citygml_bo":" ",
"citygml_le":" ",
"citygml_15":" ",
"citygml_co":" ",
"citygml_ad":" ",
"Volume":"2783.169",
"parcelle":" ",
"OBJECTID":778,
"gml_id_1":"ebc7f916-d094-4de0-8c35-fc18eb8622f2",
"gml_pare_1":"1340908",
"citygml_16":"http://www.opengis.net/citygml/building/2.0",
"citygml_17":"boundedBy",
"citygml_18":" ",
"citygml_19":" ",
"gml_desc_1":" ",
"gml_name_1":" ",
"citygml_20":" ",
"citygml_21":" ",
"external_3":" ",
"external_4":" ",
"external_5":" ",
"citygml_22":" ",
"citygml_23":" ",
"citygml_24":" ",
"citygml_25":" ",
"citygml_26":" ",
"citygml_op":" ",
"Area":"229.287",
"FID_":0,
"Join_Count":2,
"TARGET_FID":779,
"gml_id_12":"1340908",
"gml_pare_2":"fme-gen-5fa2a82b-c38e-4bf0-9e8f-10a47b9f64f7",
"citygml_27":"http://www.opengis.net/citygml/building/2.0",
"citygml_28":"cityObjectMember",
"citygml_29":" ",
"citygml_30":" ",
"gml_desc_2":" ",
"gml_name_2":" ",
"citygml_31":" ",
"citygml_32":" ",
"external_6":" ",
"external_7":" ",
"external_8":" ",
"citygml_33":" ",
"citygml_34":" ",
"citygml_35":" ",
"citygml_36":" ",
"citygml_37":" ",
"citygml_38":" ",
"citygml_39":" ",
"citygml_40":" ",
"citygml_41":" ",
"citygml_42":" ",
"citygml_43":" ",
"citygml_44":" ",
"citygml_45":" ",
"citygml_46":" ",
"citygml_47":21.824000000000002,
"citygml_48":"#m",
"citygml_49":" ",
"citygml_50":" ",
"citygml_51":" ",
"citygml_52":" ",
"citygml_53":" ",
"citygml_54":" ",
"citygml_55":" ",
"citygml_56":" ",
"citygml_57":" ",
"citygml_58":" ",
"citygml_59":" ",
"citygml_60":" ",
"citygml_61":" ",
"Volume_1":"2783.169",
"Field":0,
"Field1":0,
"OBJECTID_1":778,
"gml_id_12_":"ebc7f916-d094-4de0-8c35-fc18eb8622f2",
"gml_pare_3":"1340908",
"citygml_62":"http://www.opengis.net/citygml/building/2.0",
"citygml_63":"boundedBy",
"citygml_64":" ",
"citygml_65":" ",
"gml_desc_3":" ",
"gml_name_3":" ",
"citygml_66":" ",
"citygml_67":" ",
"external_9":" ",
"externa_10":" ",
"externa_11":" ",
"citygml_68":" ",
"citygml_69":" ",
"citygml_70":" ",
"citygml_71":" ",
"citygml_72":" ",
"citygml_73":" ",
"Area_1":"229.287",
"cityGML_hi":0,
"Z_Min":49.0745,
"Z_Max":69.165000000000006,
"Shape_Leng":59.532834838799999,
"ID_UEV":"01002777",
"CIVIQUE_DE":" 1460",
"CIVIQUE_FI":" 1460",
"NOM_RUE":"rue Sherbrooke Ouest (MTL+MTO+WMT)",
"MUNICIPALI":"50",
"ETAGE_HORS":3,
"NOMBRE_LOG":1,
"ANNEE_CONS":1885,
"CODE_UTILI":"5010",
"LIBELLE_UT":"Immeuble commercial",
"CATEGORIE_":"Régulier",
"MATRICULE8":"9839-57-1941-6-000-0000",
"SUPERFICIE":193,
"SUPERFIC_1":609,
"NO_ARROND_":"REM19",
"Shape_Le_1":0.00076452447366199996,
"Shape_Ar_1":2.2162879886799998e-08,
"Z_Min_1":null,
"Z_Max_1":null,
"Shape_Length":59.532834838827348,
"Shape_Area":161.83671944596372
}
},
{
"type":"Feature",
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1
tests/tests_data/test.geojson Normal file
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