fixed bug not printing results when building not processed

This commit is contained in:
Pilar Monsalvete 2023-03-24 11:47:09 -04:00
parent effdad4437
commit 17fcc5d41f
3 changed files with 29 additions and 203 deletions

View File

@ -1,185 +0,0 @@
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"id": 5755,
"geometry": {
"type": "Polygon",
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"ID_UEV": "02039261",
"CIVIQUE_DE": " 8501",
"CIVIQUE_FI": " 8501",
"NOM_RUE": "boulevard Ray-Lawson (ANJ)",
"SUITE_DEBU": " ",
"MUNICIPALI": "50",
"ETAGE_HORS": 0,
"NOMBRE_LOG": 0,
"ANNEE_CONS": 1980,
"CODE_UTILI": "3019",
"LETTRE_DEB": " ",
"LETTRE_FIN": " ",
"LIBELLE_UT": "Autres activit\u00c3\u00a9s d'impression commerciale",
"CATEGORIE_": "R\u00c3\u00a9gulier",
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"feature_id": "dd2be07a-6632-4e83-b2a4-d4b6d99ed706",
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"acqtech": 1360,
"acqtech_en": "Lidar",
"acqtech_fr": "Lidar",
"provider": 461,
"provideren": "Municipal",
"providerfr": "Municipal",
"datemin": "20151124",
"datemax": "20151208",
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}
]
}

View File

@ -11,7 +11,7 @@ from sra_engine import SraEngine
try:
file_path = (Path(__file__).parent / 'input_files' / 'neighbours.geojson')
file_path = (Path(__file__).parent / 'input_files' / 'selected_building.geojson')
climate_reference_city = 'Montreal'
weather_file = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw'
weather_format = 'epw'
@ -26,7 +26,7 @@ try:
print('[simulation start]')
city = GeometryFactory('geojson',
path=file_path,
height_field='citygml_me',
height_field='building_height',
year_of_construction_field='ANNEE_CONS',
function_field='CODE_UTILI',
function_to_hub=Dictionaries().montreal_function_to_hub_function).city

View File

@ -12,14 +12,22 @@ class Results:
print_results = None
file = 'city name: ' + self._city.name + '\n'
for building in self._city.buildings:
heating_results = building.heating[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} heating Wh'})
cooling_results = building.cooling[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} cooling Wh'})
lighting_results = building.lighting_electrical_demand[cte.MONTH]\
.rename(columns={cte.INSEL_MEB: f'{building.name} lighting electrical demand Wh'})
appliances_results = building.appliances_electrical_demand[cte.MONTH]\
.rename(columns={cte.INSEL_MEB: f'{building.name} appliances electrical demand Wh'})
dhw_results = building.domestic_hot_water_heat_demand[cte.MONTH]\
.rename(columns={cte.INSEL_MEB: f'{building.name} domestic hot water demand Wh'})
if cte.MONTH in building.heating.keys():
heating_results = building.heating[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} heating Wh'})
cooling_results = building.cooling[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} cooling Wh'})
lighting_results = building.lighting_electrical_demand[cte.MONTH]\
.rename(columns={cte.INSEL_MEB: f'{building.name} lighting electrical demand Wh'})
appliances_results = building.appliances_electrical_demand[cte.MONTH]\
.rename(columns={cte.INSEL_MEB: f'{building.name} appliances electrical demand Wh'})
dhw_results = building.domestic_hot_water_heat_demand[cte.MONTH]\
.rename(columns={cte.INSEL_MEB: f'{building.name} domestic hot water demand Wh'})
else:
array = [None] * 12
heating_results = pd.DataFrame(array, columns=[f'{building.name} heating Wh'])
cooling_results = pd.DataFrame(array, columns=[f'{building.name} cooling Wh'])
lighting_results = pd.DataFrame(array, columns=[f'{building.name} lighting electrical demand Wh'])
appliances_results = pd.DataFrame(array, columns=[f'{building.name} appliances electrical demand Wh'])
dhw_results = pd.DataFrame(array, columns=[f'{building.name} domestic hot water demand Wh'])
if print_results is None:
print_results = heating_results
else:
@ -30,16 +38,19 @@ class Results:
appliances_results,
dhw_results], axis='columns')
file += '\n'
file += 'name: ' + building.name + '\n'
file += 'year of construction: ' + str(building.year_of_construction) + '\n'
file += 'function: ' + building.function + '\n'
file += 'floor area: ' + str(building.floor_area) + '\n'
file += 'storeys: ' + str(int(building.eave_height / building.average_storey_height)) + '\n'
file += 'heated_volume: ' + str(0.85 * building.volume) + '\n'
file += 'volume: ' + str(building.volume) + '\n'
file += f'name: {building.name}\n'
file += f'year of construction: {building.year_of_construction}\n'
file += f'function: {building.function}\n'
file += f'floor area: {building.floor_area}\n'
if building.average_storey_height is not None and building.eave_height is not None:
file += f'storeys: {int(building.eave_height / building.average_storey_height)}\n'
else:
file += f'storeys: n/a\n'
file += f'heated_volume: {0.85 * building.volume}\n'
file += f'volume: {building.volume}\n'
full_path_results = Path(self._path / 'demand.csv').resolve()
print_results.to_csv(full_path_results)
print_results.to_csv(full_path_results, na_rep='null')
full_path_metadata = Path(self._path / 'metadata.csv').resolve()
with open(full_path_metadata, 'w') as metadata_file:
metadata_file.write(file)