fix: csv file updated
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16
input_files/omhm_selected_buildings.geojson
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16
input_files/omhm_selected_buildings.geojson
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{
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"type": "FeatureCollection",
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"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
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"features": [
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{ "type": "Feature", "properties": { "OBJECTID": 162726, "id": "01001802", "CIVIQUE_DE": 4530, "CIVIQUE_FI": 4530, "NOM_RUE": "avenue Henri-Julien (MTL)", "MUNICIPALI": 50, "CODE_UTILI": 1000, "LIBELLE_UT": "Logement", "CATEGORIE_": "Régulier", "Hieght_LiD": 9, "AREA_NEW": 158, "MBG_Width": 12, "MBG_Length": 13, "MBG_Orientation": 122, "Shape_Length": 50, "Shape_Area": 158, "BuildingCategory": "detached", "BuildingVolume": 1422, "AspectRatio": 1.034, "SurfacetoVolumeRatio": 0.111, "FloorNu_RawTax": 3, "FloorNu_RawTax.1": 3, "Floor_frmHieght": 3, "TotalFloorArea": 474, "ANNEE_CONS": 1980 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -73.584529976107675, 45.523035946589552 ], [ -73.584668476667062, 45.523096845969846 ], [ -73.584752377018077, 45.523002646985603 ], [ -73.584613876598254, 45.522941746806083 ], [ -73.584529976107675, 45.523035946589552 ] ] ] } },
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{ "type": "Feature", "properties": { "OBJECTID": 162727, "id": "01001804", "CIVIQUE_DE": 4535, "CIVIQUE_FI": 4535, "NOM_RUE": "avenue Henri-Julien (MTL)", "MUNICIPALI": 50, "CODE_UTILI": 1000, "LIBELLE_UT": "Logement", "CATEGORIE_": "Régulier", "Hieght_LiD": 11, "AREA_NEW": 161, "MBG_Width": 12, "MBG_Length": 14, "MBG_Orientation": 118, "Shape_Length": 52, "Shape_Area": 169, "BuildingCategory": "semi-attached", "BuildingVolume": 1771, "AspectRatio": 1.118, "SurfacetoVolumeRatio": 0.091, "FloorNu_RawTax": 2, "FloorNu_RawTax.1": 2, "Floor_frmHieght": 3, "TotalFloorArea": 483, "ANNEE_CONS": 1980 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -73.584504328100977, 45.523318275073017 ], [ -73.584470063117109, 45.523357528940657 ], [ -73.584430877357136, 45.523409646947947 ], [ -73.584428076873849, 45.52341334646033 ], [ -73.584574755505997, 45.523468170484847 ], [ -73.584656456001568, 45.523374796559551 ], [ -73.584574577402094, 45.523346746210301 ], [ -73.584576876816001, 45.523343546476525 ], [ -73.584505377070585, 45.523318645930914 ], [ -73.584504328100977, 45.523318275073017 ] ] ] } },
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{ "type": "Feature", "properties": { "OBJECTID": 162168, "id": "01001944", "CIVIQUE_DE": 4820, "CIVIQUE_FI": 4850, "NOM_RUE": "rue de Grand-Pré (MTL)", "MUNICIPALI": 50, "CODE_UTILI": 1000, "LIBELLE_UT": "Logement", "CATEGORIE_": "Régulier", "Hieght_LiD": 11, "AREA_NEW": 504, "MBG_Width": 16, "MBG_Length": 42, "MBG_Orientation": 123, "Shape_Length": 116, "Shape_Area": 669, "BuildingCategory": "fully-attached", "BuildingVolume": 5544, "AspectRatio": 2.648, "SurfacetoVolumeRatio": 0.091, "FloorNu_RawTax": 3, "FloorNu_RawTax.1": 3, "Floor_frmHieght": 3, "TotalFloorArea": 1512, "ANNEE_CONS": 1980 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -73.586673951057165, 45.524838247152971 ], [ -73.586568305570552, 45.524952686098082 ], [ -73.58662307714782, 45.524979547084882 ], [ -73.586731877320233, 45.525032846618785 ], [ -73.586815478124791, 45.525073847297307 ], [ -73.586820877038548, 45.525068346972965 ], [ -73.586874077743531, 45.525094146322125 ], [ -73.586895378594193, 45.525104346900406 ], [ -73.586943277305565, 45.525127046703169 ], [ -73.587016976014752, 45.525161993449707 ], [ -73.587125015986871, 45.525044959829344 ], [ -73.587121277851907, 45.525043246686081 ], [ -73.587092777275416, 45.525074446965931 ], [ -73.587032277294412, 45.525047146948445 ], [ -73.587039678023586, 45.525038947369048 ], [ -73.587033777622878, 45.525036346828877 ], [ -73.586929477897286, 45.524990346357107 ], [ -73.58664877714105, 45.524866746179505 ], [ -73.586674177796809, 45.524838346863149 ], [ -73.586673951057165, 45.524838247152971 ] ] ] } },
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{ "type": "Feature", "properties": { "OBJECTID": 160896, "id": "01024652", "CIVIQUE_DE": 350, "CIVIQUE_FI": 350, "NOM_RUE": "rue Boucher (MTL)", "MUNICIPALI": 50, "CODE_UTILI": 1000, "LIBELLE_UT": "Logement", "CATEGORIE_": "Régulier", "Hieght_LiD": 22, "AREA_NEW": 863, "MBG_Width": 23, "MBG_Length": 48, "MBG_Orientation": 121, "Shape_Length": 142, "Shape_Area": 1115, "BuildingCategory": "detached", "BuildingVolume": 18986, "AspectRatio": 2.038, "SurfacetoVolumeRatio": 0.045, "FloorNu_RawTax": 4, "FloorNu_RawTax.1": 4, "Floor_frmHieght": 6, "TotalFloorArea": 5178, "ANNEE_CONS": 1991 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -73.591937079830473, 45.5275066477327 ], [ -73.591937179849452, 45.52750674753436 ], [ -73.591964178776365, 45.527466247428634 ], [ -73.592026878777105, 45.527486947227878 ], [ -73.592027580168264, 45.527486846780647 ], [ -73.592013879829011, 45.527422746963936 ], [ -73.591984880030196, 45.527286547239505 ], [ -73.591984579182366, 45.527286547481765 ], [ -73.591875879019881, 45.527239846914121 ], [ -73.591626180051733, 45.527132446482739 ], [ -73.591624679856523, 45.527134147482663 ], [ -73.591472379004458, 45.527302947133734 ], [ -73.59147727935661, 45.527305146916163 ], [ -73.591543180175734, 45.527334146336074 ], [ -73.59156227958276, 45.527312847127916 ], [ -73.591817879694347, 45.527425747269653 ], [ -73.591794879188384, 45.527451547052145 ], [ -73.591794980324778, 45.52745154697088 ], [ -73.591937079830473, 45.5275066477327 ] ] ] } },
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{ "type": "Feature", "properties": { "OBJECTID": 158453, "id": "01026412", "CIVIQUE_DE": 3964, "CIVIQUE_FI": 3964, "NOM_RUE": "rue Rivard (MTL)", "MUNICIPALI": 50, "CODE_UTILI": 1000, "LIBELLE_UT": "Logement", "CATEGORIE_": "Régulier", "Hieght_LiD": 13, "AREA_NEW": 155, "MBG_Width": 12, "MBG_Length": 13, "MBG_Orientation": 33, "Shape_Length": 51, "Shape_Area": 161, "BuildingCategory": "semi-attached", "BuildingVolume": 2015, "AspectRatio": 1.053, "SurfacetoVolumeRatio": 0.077, "FloorNu_RawTax": 3, "FloorNu_RawTax.1": 3, "Floor_frmHieght": 4, "TotalFloorArea": 620, "ANNEE_CONS": 1981 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -73.574691673036824, 45.520801446234479 ], [ -73.574606373743563, 45.520895346331137 ], [ -73.574608572928923, 45.520896346417111 ], [ -73.574741150104259, 45.52095245567763 ], [ -73.574829542976886, 45.520856483821881 ], [ -73.574691673036824, 45.520801446234479 ] ] ] } },
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{ "type": "Feature", "properties": { "OBJECTID": 160314, "id": "01027192", "CIVIQUE_DE": 3876, "CIVIQUE_FI": 3880, "NOM_RUE": "rue de Mentana (MTL)", "MUNICIPALI": 50, "CODE_UTILI": 1000, "LIBELLE_UT": "Logement", "CATEGORIE_": "Régulier", "Hieght_LiD": 12, "AREA_NEW": 366, "MBG_Width": 16, "MBG_Length": 32, "MBG_Orientation": 110, "Shape_Length": 96, "Shape_Area": 507, "BuildingCategory": "semi-attached", "BuildingVolume": 4392, "AspectRatio": 2.009, "SurfacetoVolumeRatio": 0.083, "FloorNu_RawTax": 3, "FloorNu_RawTax.1": 3, "Floor_frmHieght": 3, "TotalFloorArea": 1098, "ANNEE_CONS": 1980 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -73.570800071665957, 45.522686946460304 ], [ -73.57093107256577, 45.522726047825749 ], [ -73.571028271866595, 45.522613046698432 ], [ -73.570955272361019, 45.522582046683695 ], [ -73.57092677184869, 45.522615346769584 ], [ -73.570836471663341, 45.522577047118958 ], [ -73.570681923964358, 45.522511513915816 ], [ -73.570599160784397, 45.522601741674258 ], [ -73.57068447255547, 45.522631046198299 ], [ -73.570683872035971, 45.52263194640998 ], [ -73.5706905727058, 45.522641647038853 ], [ -73.570695971264669, 45.522651146908998 ], [ -73.570720172024352, 45.522643346512112 ], [ -73.570741072289536, 45.522674046912528 ], [ -73.570768873124834, 45.522664547177342 ], [ -73.570786672496425, 45.522690747590424 ], [ -73.570800772812049, 45.522685647556457 ], [ -73.570800071665957, 45.522686946460304 ] ] ] } },
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{ "type": "Feature", "properties": { "OBJECTID": 160961, "id": "01027868", "CIVIQUE_DE": 1315, "CIVIQUE_FI": 1315, "NOM_RUE": "rue Gilford (MTL)", "MUNICIPALI": 50, "CODE_UTILI": 1000, "LIBELLE_UT": "Logement", "CATEGORIE_": "Régulier", "Hieght_LiD": 25, "AREA_NEW": 792, "MBG_Width": 21, "MBG_Length": 39, "MBG_Orientation": 33, "Shape_Length": 119, "Shape_Area": 799, "BuildingCategory": "detached", "BuildingVolume": 19800, "AspectRatio": 1.892, "SurfacetoVolumeRatio": 0.04, "FloorNu_RawTax": 7, "FloorNu_RawTax.1": 7, "Floor_frmHieght": 7, "TotalFloorArea": 5544, "ANNEE_CONS": 1982 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -73.58083517681375, 45.531873048325558 ], [ -73.580835076949739, 45.531873048396221 ], [ -73.580854575894378, 45.531884548031371 ], [ -73.580836876619628, 45.53189954827026 ], [ -73.580834276336617, 45.531902247826601 ], [ -73.581032076072006, 45.531993748148139 ], [ -73.581035576182472, 45.531995348277754 ], [ -73.581308475569898, 45.531702748189019 ], [ -73.581094575638417, 45.5316043481116 ], [ -73.58108917684747, 45.531601847693175 ], [ -73.58083517681375, 45.531873048325558 ] ] ] } },
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{ "type": "Feature", "properties": { "OBJECTID": 160929, "id": "01030953", "CIVIQUE_DE": 5115, "CIVIQUE_FI": 5115, "NOM_RUE": "rue Clark (MTL)", "MUNICIPALI": 50, "CODE_UTILI": 1000, "LIBELLE_UT": "Logement", "CATEGORIE_": "Régulier", "Hieght_LiD": 14, "AREA_NEW": 181, "MBG_Width": 13, "MBG_Length": 17, "MBG_Orientation": 33, "Shape_Length": 60, "Shape_Area": 217, "BuildingCategory": "semi-attached", "BuildingVolume": 2534, "AspectRatio": 1.366, "SurfacetoVolumeRatio": 0.071, "FloorNu_RawTax": 2, "FloorNu_RawTax.1": 2, "Floor_frmHieght": 4, "TotalFloorArea": 724, "ANNEE_CONS": 1983 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -73.593727979935949, 45.522833645694313 ], [ -73.593622379981483, 45.522943045763455 ], [ -73.593627979641539, 45.5229456462108 ], [ -73.593757046904472, 45.523005285227981 ], [ -73.59376545085415, 45.522996062168147 ], [ -73.593790280472035, 45.522967946078182 ], [ -73.593790847971491, 45.522968193968069 ], [ -73.593875827697602, 45.522874944824011 ], [ -73.59387543312792, 45.522874766080079 ], [ -73.593855979643365, 45.52289494658158 ], [ -73.593791679795828, 45.52286404669664 ], [ -73.593727979935949, 45.522833645694313 ] ] ] } },
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{ "type": "Feature", "properties": { "OBJECTID": 159711, "id": "01031631", "CIVIQUE_DE": 5222, "CIVIQUE_FI": 5222, "NOM_RUE": "avenue Casgrain (MTL)", "MUNICIPALI": 50, "CODE_UTILI": 1000, "LIBELLE_UT": "Logement", "CATEGORIE_": "Régulier", "Hieght_LiD": 10, "AREA_NEW": 146, "MBG_Width": 10, "MBG_Length": 15, "MBG_Orientation": 32, "Shape_Length": 50, "Shape_Area": 147, "BuildingCategory": "semi-attached", "BuildingVolume": 1460, "AspectRatio": 1.607, "SurfacetoVolumeRatio": 0.1, "FloorNu_RawTax": 2, "FloorNu_RawTax.1": 2, "Floor_frmHieght": 3, "TotalFloorArea": 438, "ANNEE_CONS": 1983 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -73.594000879767933, 45.525218447055174 ], [ -73.594043080289808, 45.525236947218026 ], [ -73.5941039805478, 45.525264146909009 ], [ -73.594208881213859, 45.52514714696995 ], [ -73.594107197565634, 45.525102137119283 ], [ -73.594000390389937, 45.525218232396192 ], [ -73.594000879767933, 45.525218447055174 ] ] ] } },
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{ "type": "Feature", "properties": { "OBJECTID": 162724, "id": "01093229", "CIVIQUE_DE": 5180, "CIVIQUE_FI": 5180, "NOM_RUE": "rue Drolet (MTL)", "MUNICIPALI": 50, "CODE_UTILI": 1000, "LIBELLE_UT": "Logement", "CATEGORIE_": "Régulier", "Hieght_LiD": 13, "AREA_NEW": 162, "MBG_Width": 13, "MBG_Length": 13, "MBG_Orientation": 32, "Shape_Length": 52, "Shape_Area": 171, "BuildingCategory": "fully-attached", "BuildingVolume": 2106, "AspectRatio": 1.061, "SurfacetoVolumeRatio": 0.077, "FloorNu_RawTax": 3, "FloorNu_RawTax.1": 3, "Floor_frmHieght": 4, "TotalFloorArea": 648, "ANNEE_CONS": 1989 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -73.591401779194541, 45.526781846358489 ], [ -73.591391179875345, 45.526792546731429 ], [ -73.591396178918018, 45.526794847220536 ], [ -73.591449340007159, 45.526819974082471 ], [ -73.591532003408886, 45.52672522496804 ], [ -73.591538651998277, 45.526716092568755 ], [ -73.591526179377823, 45.526710747618488 ], [ -73.591400782956626, 45.526656800065901 ], [ -73.591320310492023, 45.526757487175246 ], [ -73.591374078538919, 45.526782746763345 ], [ -73.59137467927394, 45.526782946946994 ], [ -73.591384179409957, 45.526773347058757 ], [ -73.591401779194541, 45.526781846358489 ] ] ] } }
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]
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}
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55
results.py
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55
results.py
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import pandas as pd
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from pathlib import Path
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from hub.imports.geometry_factory import GeometryFactory
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from hub.helpers.dictionaries import Dictionaries
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import json
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import hub.helpers.constants as cte
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from hub.imports.results_factory import ResultFactory
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out_path = Path(__file__).parent / 'out_files'
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ep_output_path = out_path / 'ep_outputs'
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ep_output_path.mkdir(parents=True, exist_ok=True)
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original_results = pd.read_csv(out_path / 'updated_simulation_results.csv')
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results = pd.DataFrame(original_results)
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input_files_path = (Path(__file__).parent / 'input_files')
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geojson_file_path = input_files_path / 'omhm_selected_buildings.geojson'
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with open(out_path / 'air_to_air_hp_buildings_data.json') as file:
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current_status_results = json.load(file)
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month_names = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
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# Create city object from GeoJSON file
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city = GeometryFactory('geojson',
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path=geojson_file_path,
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height_field='Hieght_LiD',
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year_of_construction_field='ANNEE_CONS',
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function_field='CODE_UTILI',
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function_to_hub=Dictionaries().montreal_function_to_hub_function).city
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ResultFactory('energy_plus_multiple_buildings', city, ep_output_path).enrich()
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for building in city.buildings:
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for building_data in current_status_results:
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if building.name == current_status_results[building_data]['id']:
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for (i, month) in enumerate(month_names):
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monthly_heating = current_status_results[building_data]['monthly_heating_consumption_kWh'][month] * 0.0036
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monthly_cooling = current_status_results[building_data]['monthly_cooling_consumption_kWh'][month] * 0.0036
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monthly_dhw = current_status_results[building_data]['monthly_dhw_consumption_kWh'][month] * 0.0036
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monthly_lighting = building.lighting_electrical_demand[cte.MONTH][i] / 1e9
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monthly_appliance = building.appliances_electrical_demand[cte.MONTH][i] / 1e9
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total_monthly = monthly_heating + monthly_cooling + monthly_dhw + monthly_appliance + monthly_lighting
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results.loc[results['ID_UEV'] == float(building.name), f'current_status_consumption_{i+1}'] = total_monthly
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# yearly_heating = current_status_results[building_data]['yearly_heating_consumption_kWh'] * 0.0036
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# yearly_cooling = current_status_results[building_data]['yearly_cooling_consumption_kWh'] * 0.0036
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# yearly_dhw = current_status_results[building_data]['yearly_dhw_consumption_kWh'] * 0.0036
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# yearly_lighting = current_status_results[building_data]['yearly_lighting_electricity_consumption_kWh'] * 0.0036
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# yearly_appliance = current_status_results[building_data]['yearly_appliance_electricity_consumption_kWh'] * 0.0036
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# total_consumption = yearly_heating + yearly_cooling + yearly_dhw + yearly_lighting + yearly_lighting
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# results.loc[results['ID_UEV'] == float(building.name), 'scenario_2_12'] = total_consumption
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# for building in city.buildings:
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# print(building.name)
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# consumption = results.loc[results['ID_UEV'] == float(building.name), 'Annual consumption scenario 2']
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# print(consumption.values[0] if not consumption.empty else f"No data for building ID: {building.name}")
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updated_results = pd.DataFrame(results)
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# Specify the output path for the new CSV file
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output_csv_path = out_path / 'updated_simulation_results.csv'
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# Write the DataFrame to a CSV file
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updated_results.to_csv(output_csv_path, index=False)
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