feat: add self_sufficiency for PV
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parent
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commit
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@ -2,23 +2,17 @@ import geopandas as gpd
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from shapely.geometry import Polygon, MultiPolygon
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from shapely.geometry.polygon import orient
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# Path to the input GeoJSON file
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input_file = 'data/cmm_test.geojson'
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input_file = 'data/selected_buildings.geojson'
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# Path to the output GeoJSON file
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output_file = 'data/cmm_test_corrected.geojson'
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output_file = 'data/selected_buildings_corrected.geojson'
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# Read the GeoJSON file
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gdf = gpd.read_file(input_file)
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# Set the CRS to EPSG:3857 if not already set
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if gdf.crs is None:
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gdf.set_crs(epsg=3857, inplace=True)
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# Convert the CRS to EPSG:4326 (longitude and latitude)
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gdf = gdf.to_crs(epsg=4326)
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# Function to reorient geometries to follow the right-hand rule
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def reorient_geometry(geom):
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if geom.is_empty:
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return geom
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@ -30,10 +24,6 @@ def reorient_geometry(geom):
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else:
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return geom
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# Apply the reorientation to the geometry column
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gdf['geometry'] = gdf['geometry'].apply(reorient_geometry)
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# Save the transformed GeoDataFrame to a new GeoJSON file
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gdf.to_file(output_file, driver='GeoJSON')
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print(f"Converted GeoJSON with right-hand rule orientation has been saved to {output_file}")
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@ -1,7 +0,0 @@
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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": { "cerc_id": 10000000, "provinc_id": "72015684390246800000000", "matricu_18": "684390246800000000", "feature_id": "905021fe-faed-40cb-a193-8b8b9863eb6e", "contr_year": "1986", "height": 9.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "attached", "lot_name": "1461297", "lot_area": 1247.7, "build_area": 145.3, "build_type": "1", "floor_num": 1, "unit_num": 2, "region": "layer_80", "g_objectid": 1169999.0, "g_co_mrc": "720", "g_code_mun": "72015", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.959074500485556, 45.526439602454957 ], [ -73.95906913536642, 45.52644040687705 ], [ -73.959067332931753, 45.526434277213156 ], [ -73.959072648380882, 45.526433504485176 ], [ -73.959074500485556, 45.526439602454957 ] ] ], [ [ [ -73.959284044103711, 45.526434113367664 ], [ -73.959285089854276, 45.526437239705743 ], [ -73.959323607759771, 45.526430905630932 ], [ -73.959339294217543, 45.526477977063195 ], [ -73.959365136004763, 45.526473721285491 ], [ -73.959384577774543, 45.526470522456577 ], [ -73.95939879848838, 45.526513191459713 ], [ -73.95918505777766, 45.526548375245248 ], [ -73.95915412932338, 45.526455490326235 ], [ -73.959284044103711, 45.526434113367664 ] ] ], [ [ [ -73.959318219290097, 45.526552949174281 ], [ -73.959334062104787, 45.526613722737721 ], [ -73.959216751906709, 45.5266288329885 ], [ -73.959200273841773, 45.52656565039198 ], [ -73.95922525487974, 45.526562432921921 ], [ -73.959220722410464, 45.526545052740744 ], [ -73.959294284368852, 45.526535583122445 ], [ -73.959299435528266, 45.526555364285208 ], [ -73.959318219290097, 45.526552949174281 ] ] ], [ [ [ -73.959361589683013, 45.526663537853317 ], [ -73.959418160975417, 45.526683936473432 ], [ -73.959367699213033, 45.526753086934306 ], [ -73.959311113787507, 45.526732688346264 ], [ -73.959361589683013, 45.526663537853317 ] ] ] ] } }
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]
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}
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@ -1,7 +0,0 @@
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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": { "cerc_id": 10000000, "provinc_id": "72015684390246800000000", "matricu_18": "684390246800000000", "feature_id": "905021fe-faed-40cb-a193-8b8b9863eb6e", "contr_year": "1986", "height": 9.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "attached", "lot_name": "1461297", "lot_area": 1247.7, "build_area": 145.3, "build_type": "1", "floor_num": 1, "unit_num": 2, "region": "layer_80", "g_objectid": 1169999.0, "g_co_mrc": "720", "g_code_mun": "72015", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.959074500485556, 45.526439602454957 ], [ -73.959072648380882, 45.526433504485176 ], [ -73.959067332931753, 45.526434277213156 ], [ -73.95906913536642, 45.52644040687705 ], [ -73.959074500485556, 45.526439602454957 ] ] ], [ [ [ -73.959284044103711, 45.526434113367664 ], [ -73.95915412932338, 45.526455490326235 ], [ -73.95918505777766, 45.526548375245248 ], [ -73.95939879848838, 45.526513191459713 ], [ -73.959384577774543, 45.526470522456577 ], [ -73.959365136004763, 45.526473721285491 ], [ -73.959339294217543, 45.526477977063195 ], [ -73.959323607759771, 45.526430905630932 ], [ -73.959285089854276, 45.526437239705743 ], [ -73.959284044103711, 45.526434113367664 ] ] ], [ [ [ -73.959318219290097, 45.526552949174281 ], [ -73.959299435528266, 45.526555364285208 ], [ -73.959294284368852, 45.526535583122445 ], [ -73.959220722410464, 45.526545052740744 ], [ -73.95922525487974, 45.526562432921921 ], [ -73.959200273841773, 45.52656565039198 ], [ -73.959216751906709, 45.5266288329885 ], [ -73.959334062104787, 45.526613722737721 ], [ -73.959318219290097, 45.526552949174281 ] ] ], [ [ [ -73.959361589683013, 45.526663537853317 ], [ -73.959311113787507, 45.526732688346264 ], [ -73.959367699213033, 45.526753086934306 ], [ -73.959418160975417, 45.526683936473432 ], [ -73.959361589683013, 45.526663537853317 ] ] ] ] } }
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]
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}
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52
data/selected_buildings.geojson
Normal file
52
data/selected_buildings.geojson
Normal file
@ -0,0 +1,52 @@
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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": { "cerc_id": 10042222, "provinc_id": "66058923687536920000000", "matricu_18": "923687536920000000", "feature_id": "1750228c-42f7-432c-bf99-86164e74e465", "contr_year": "1955", "height": 10.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561273", "lot_area": 421.4, "build_area": 181.0, "build_type": "1", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 1268569.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.652847091532934, 45.470789538971239 ], [ -73.652887196872726, 45.470740637941198 ], [ -73.652726589698347, 45.470675341143156 ], [ -73.652651101233815, 45.470767235562192 ], [ -73.652766698497217, 45.470814235766937 ], [ -73.65280209652326, 45.470771133385092 ], [ -73.652847091532934, 45.470789538971239 ] ] ] ] } },
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{ "type": "Feature", "properties": { "cerc_id": 10042223, "provinc_id": "66058923687465550000000", "matricu_18": "923687465550000000", "feature_id": "54fe98c5-2500-425c-981a-736b1a8cfa2a", "contr_year": "1955", "height": 8.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561274", "lot_area": 409.2, "build_area": 184.4, "build_type": "1", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 3069480.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.652747295978074, 45.470643337350687 ], [ -73.652909100761292, 45.470707438418266 ], [ -73.652950294053596, 45.470656535546446 ], [ -73.652904898103273, 45.470638340201873 ], [ -73.652941089903379, 45.470593737565963 ], [ -73.652823598674004, 45.470547139602402 ], [ -73.652747295978074, 45.470643337350687 ] ] ] ] } },
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{ "type": "Feature", "properties": { "cerc_id": 10042224, "provinc_id": "66058923687618360000000", "matricu_18": "923687618360000000", "feature_id": "2aa8756a-afd6-42ec-a962-e8c5c996fd7d", "contr_year": "1955", "height": 7.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561272", "lot_area": 421.4, "build_area": 179.7, "build_type": "1", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 3462523.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.652709790904126, 45.47096133445153 ], [ -73.652749501241331, 45.470911939982749 ], [ -73.652702295654493, 45.470893340246995 ], [ -73.652737089123505, 45.470850340376927 ], [ -73.652622996634648, 45.470805534661345 ], [ -73.652549690921319, 45.470900733936617 ], [ -73.652709790904126, 45.47096133445153 ] ] ] ] } },
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{ "type": "Feature", "properties": { "cerc_id": 10042330, "provinc_id": "66058923677831460000000", "matricu_18": "923677831460000000", "feature_id": "156062b2-f371-4410-90d6-09a5739307f6", "contr_year": "1955", "height": 7.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561290", "lot_area": 421.4, "build_area": 186.7, "build_type": "1", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 604572.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.653605989751256, 45.470315136029505 ], [ -73.653679197919615, 45.470344039669897 ], [ -73.653768500755149, 45.470231636424167 ], [ -73.653634388908017, 45.470178936397076 ], [ -73.653569990580365, 45.470259932850226 ], [ -73.653631497883566, 45.470284132547583 ], [ -73.653605989751256, 45.470315136029505 ] ] ] ] } },
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{ "type": "Feature", "properties": { "cerc_id": 10042635, "provinc_id": "66058923677254770000000", "matricu_18": "923677254770000000", "feature_id": "4ce656c8-ce53-426c-a843-60ab97cdb3b8", "contr_year": "1955", "height": 9.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561286", "lot_area": 421.4, "build_area": 186.7, "build_type": "1", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 575398.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.654309901222945, 45.470545036155421 ], [ -73.654369890444571, 45.470568536522997 ], [ -73.654345291899205, 45.470599538939211 ], [ -73.65441879851538, 45.470628337318551 ], [ -73.654512194744015, 45.47051053517287 ], [ -73.654449200628335, 45.470485835845707 ], [ -73.654462197967533, 45.470469334851281 ], [ -73.654433893608768, 45.470458336483141 ], [ -73.65441859446058, 45.470477738997204 ], [ -73.654376293669245, 45.470461134583637 ], [ -73.654309901222945, 45.470545036155421 ] ] ] ] } },
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{ "type": "Feature", "properties": { "cerc_id": 10042636, "provinc_id": "66058923677115430000000", "matricu_18": "923677115430000000", "feature_id": "b4e089b6-49f8-4c42-be7b-e62ea44b40c0", "contr_year": "1955", "height": 7.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "semi-detached", "lot_name": "1561285", "lot_area": 366.8, "build_area": 181.9, "build_type": "2", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 2079549.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.654474602084335, 45.470646733951 ], [ -73.65454600053863, 45.470674835917094 ], [ -73.654567994828625, 45.470646533827093 ], [ -73.654620690452504, 45.470667185113932 ], [ -73.654687518212597, 45.470580770397603 ], [ -73.654565394231369, 45.470532632760083 ], [ -73.654474602084335, 45.470646733951 ] ] ] ] } },
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{ "type": "Feature", "properties": { "cerc_id": 10043738, "provinc_id": "66058923687622220000000", "matricu_18": "923687622220000000", "feature_id": "3f5276ec-ad3c-48ee-9168-f427a9b3121d", "contr_year": "1955", "height": 10.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561277", "lot_area": 422.1, "build_area": 181.9, "build_type": "1", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 2072159.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.652682194918924, 45.470397941292759 ], [ -73.652767990333388, 45.470284536588274 ], [ -73.652694395553326, 45.470256238478278 ], [ -73.652669992839861, 45.470288536954968 ], [ -73.652608194216455, 45.470265235177678 ], [ -73.652546193182943, 45.470347037712962 ], [ -73.652682194918924, 45.470397941292759 ] ] ] ] } },
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{ "type": "Feature", "properties": { "cerc_id": 10043739, "provinc_id": "66058923687684350000000", "matricu_18": "923687684350000000", "feature_id": "f4d1865c-b04a-4cbd-8e7c-01883cbf8430", "contr_year": "1955", "height": 8.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561278", "lot_area": 407.9, "build_area": 194.3, "build_type": "1", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 2564351.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.65242779386287, 45.470516936839878 ], [ -73.652588789856551, 45.47058253858895 ], [ -73.652665896524738, 45.470488940432411 ], [ -73.6525446903279, 45.470439439736488 ], [ -73.652507391368388, 45.470484738409013 ], [ -73.652467799420805, 45.470468437420209 ], [ -73.65242779386287, 45.470516936839878 ] ] ] ] } },
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{ "type": "Feature", "properties": { "cerc_id": 10043740, "provinc_id": "66058923687473140000000", "matricu_18": "923687473140000000", "feature_id": "98755cb0-ab11-40dd-9585-a4796de152bb", "contr_year": "1955", "height": 8.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561276", "lot_area": 468.2, "build_area": 179.2, "build_type": "1", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 3421553.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.652744990388442, 45.470422335911962 ], [ -73.652878699588598, 45.47047473427105 ], [ -73.652966895020114, 45.470363135801364 ], [ -73.652893894189305, 45.470334636358771 ], [ -73.652870691368861, 45.470364639558653 ], [ -73.652809495889926, 45.470340739584152 ], [ -73.652744990388442, 45.470422335911962 ] ] ] ] } },
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{ "type": "Feature", "properties": { "cerc_id": 10048024, "provinc_id": "66058923686097120000000", "matricu_18": "923686097120000000", "feature_id": "ef766114-0166-4782-b14b-4d688b40e6ba", "contr_year": "1957", "height": 7.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561518", "lot_area": 437.8, "build_area": 239.8, "build_type": "1", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 3414305.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.65320148899599, 45.46987733706186 ], [ -73.653390900036641, 45.469941035988434 ], [ -73.653456795924569, 45.469844041016181 ], [ -73.653267397899739, 45.46978033318188 ], [ -73.65320148899599, 45.46987733706186 ] ] ] ] } },
|
||||
{ "type": "Feature", "properties": { "cerc_id": 10048056, "provinc_id": "66058923678385510000000", "matricu_18": "923678385510000000", "feature_id": "f9c3f49c-8316-48da-aee8-c694e3100c15", "contr_year": "1955", "height": 7.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "semi-detached", "lot_name": "1561248", "lot_area": 390.2, "build_area": 179.5, "build_type": "2", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 866768.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.654195894862454, 45.471452735553861 ], [ -73.654132940050715, 45.471535693826077 ], [ -73.654255943268993, 45.471583392504201 ], [ -73.65428210112988, 45.471549038772054 ], [ -73.654325100176081, 45.471565337225492 ], [ -73.654362999996195, 45.471515537915721 ], [ -73.654195894862454, 45.471452735553861 ] ] ] ] } },
|
||||
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|
||||
{ "type": "Feature", "properties": { "cerc_id": 10048058, "provinc_id": "66058923678614390000000", "matricu_18": "923678614390000000", "feature_id": "e1e96159-caf8-4bde-9ed9-2feb13af3f7e", "contr_year": "1955", "height": 7.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "semi-detached", "lot_name": "1561258", "lot_area": 390.2, "build_area": 181.5, "build_type": "2", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 1581180.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.6538797952892, 45.471393333618082 ], [ -73.653852942513012, 45.471427114991805 ], [ -73.653978234423178, 45.471475701736814 ], [ -73.654043796576445, 45.471392532167933 ], [ -73.653876689475865, 45.471327333044968 ], [ -73.653837591744193, 45.471376940340981 ], [ -73.6538797952892, 45.471393333618082 ] ] ] ] } },
|
||||
{ "type": "Feature", "properties": { "cerc_id": 10048059, "provinc_id": "66058923678466950000000", "matricu_18": "923678466950000000", "feature_id": "f9c3f49c-8316-48da-aee8-c694e3100c15", "contr_year": "1955", "height": 8.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "semi-detached", "lot_name": "1561249", "lot_area": 390.2, "build_area": 184.4, "build_type": "2", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 3545809.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.654223201570275, 45.471697537446317 ], [ -73.65425999115395, 45.471649038151568 ], [ -73.654217991000237, 45.47163323864077 ], [ -73.654255943268993, 45.471583392504201 ], [ -73.654132940050715, 45.471535693826077 ], [ -73.654057401941927, 45.471635236136279 ], [ -73.654223201570275, 45.471697537446317 ] ] ] ] } },
|
||||
{ "type": "Feature", "properties": { "cerc_id": 10048672, "provinc_id": "66058923676948060000000", "matricu_18": "923676948060000000", "feature_id": "8699acea-8dfb-46cd-87b8-55484ce2ac5d", "contr_year": "1957", "height": 7.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561519", "lot_area": 406.7, "build_area": 216.8, "build_type": "1", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 2395365.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.653415688843594, 45.469952735820264 ], [ -73.653584096878546, 45.470016436536504 ], [ -73.653658691277286, 45.469918837653061 ], [ -73.6534902962361, 45.469855136128402 ], [ -73.653415688843594, 45.469952735820264 ] ] ] ] } },
|
||||
{ "type": "Feature", "properties": { "cerc_id": 10048785, "provinc_id": "66058923687026990000000", "matricu_18": "923687026990000000", "feature_id": "0052248e-9fd9-4f2e-8852-e4af9d8e5d5c", "contr_year": "1955", "height": 8.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561269", "lot_area": 421.4, "build_area": 179.4, "build_type": "1", "floor_num": 0, "unit_num": 1, "region": "layer_83", "g_objectid": 1578936.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.653331593451014, 45.470769336837492 ], [ -73.653448793775809, 45.470816335999849 ], [ -73.653524298033417, 45.470722232805706 ], [ -73.653363499570148, 45.470658333724451 ], [ -73.653320890341547, 45.470709037979645 ], [ -73.653365898169085, 45.470726938529602 ], [ -73.653331593451014, 45.470769336837492 ] ] ] ] } },
|
||||
{ "type": "Feature", "properties": { "cerc_id": 10048960, "provinc_id": "66058923669730520000000", "matricu_18": "923669730520000000", "feature_id": "491fc9f1-ef33-4236-96c1-b2899feb8e31", "contr_year": "1955", "height": 7.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "semi-detached", "lot_name": "1561239", "lot_area": 428.3, "build_area": 186.7, "build_type": "2", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 1218879.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.65516999374239, 45.471910534236727 ], [ -73.655035189732317, 45.471859206378547 ], [ -73.654968595623302, 45.471944898383917 ], [ -73.655031000644058, 45.471968638080085 ], [ -73.655008097006856, 45.471998437933863 ], [ -73.655080991705489, 45.47202623877903 ], [ -73.65516999374239, 45.471910534236727 ] ] ] ] } },
|
||||
{ "type": "Feature", "properties": { "cerc_id": 10049152, "provinc_id": "66058923688311420000000", "matricu_18": "923688311420000000", "feature_id": "e0cd772e-9689-4415-a183-4d223b889336", "contr_year": "1955", "height": 7.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561266", "lot_area": 421.4, "build_area": 181.9, "build_type": "1", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 183656.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.652987701614876, 45.471213539150874 ], [ -73.653056199794548, 45.471240834266737 ], [ -73.65314329542889, 45.471132734859211 ], [ -73.653013892754515, 45.471081136411229 ], [ -73.652948696020133, 45.471162237053228 ], [ -73.653009788929154, 45.471186637402681 ], [ -73.652987701614876, 45.471213539150874 ] ] ] ] } },
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||||
{ "type": "Feature", "properties": { "cerc_id": 10049185, "provinc_id": "66058923687189840000000", "matricu_18": "923687189840000000", "feature_id": "dc93eb84-ab30-46b7-9089-19f6578f49b4", "contr_year": "1955", "height": 8.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561267", "lot_area": 413.6, "build_area": 179.5, "build_type": "1", "floor_num": 0, "unit_num": 1, "region": "layer_83", "g_objectid": 320820.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.65312699650984, 45.471027341300875 ], [ -73.653247899419071, 45.471074234020861 ], [ -73.653321499774137, 45.470980037235584 ], [ -73.653156996081108, 45.470916732240283 ], [ -73.653118398067264, 45.470966341323241 ], [ -73.653161796430254, 45.470983034714287 ], [ -73.65312699650984, 45.471027341300875 ] ] ] ] } },
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||||
{ "type": "Feature", "properties": { "cerc_id": 10049186, "provinc_id": "66058923687108410000000", "matricu_18": "923687108410000000", "feature_id": "2a861b62-0eed-46c9-b6e8-8fff09dbc748", "contr_year": "1955", "height": 7.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "detached", "lot_name": "1561268", "lot_area": 421.4, "build_area": 179.5, "build_type": "1", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 484029.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.653185993940738, 45.470882533320498 ], [ -73.653343099695078, 45.470945636741547 ], [ -73.653416689761514, 45.470854838633109 ], [ -73.653304091983983, 45.470809632957575 ], [ -73.653270493009515, 45.470851040466357 ], [ -73.65322629667989, 45.47083293632484 ], [ -73.653185993940738, 45.470882533320498 ] ] ] ] } },
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||||
{ "type": "Feature", "properties": { "cerc_id": 10049961, "provinc_id": "66058923678090240000000", "matricu_18": "923678090240000000", "feature_id": "b6b13e9c-1aa6-40eb-98b3-cc9d78d3cdd6", "contr_year": "1955", "height": 7.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "semi-detached", "lot_name": "1561253", "lot_area": 387.9, "build_area": 179.5, "build_type": "2", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 1751779.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.65465629144893, 45.471065933427973 ], [ -73.654699391732819, 45.47108333571849 ], [ -73.654738202607007, 45.471033940877646 ], [ -73.654572692090127, 45.470974436644759 ], [ -73.654541794143, 45.471010833216347 ], [ -73.654508492392068, 45.470996439302851 ], [ -73.654481396238566, 45.47102893887228 ], [ -73.654522999627531, 45.471045235540792 ], [ -73.654513780671437, 45.471056783164684 ], [ -73.654628130965548, 45.471101125918594 ], [ -73.65465629144893, 45.471065933427973 ] ] ] ] } },
|
||||
{ "type": "Feature", "properties": { "cerc_id": 10049962, "provinc_id": "66058923678242960000000", "matricu_18": "923678242960000000", "feature_id": "9b00ca80-cd65-4c1c-9978-8d71137b1f41", "contr_year": "1955", "height": 8.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "semi-detached", "lot_name": "1561251", "lot_area": 390.2, "build_area": 179.5, "build_type": "2", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 2671476.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.654548596710114, 45.471274733269581 ], [ -73.654382392204496, 45.471211839974565 ], [ -73.654319022207275, 45.471294771918565 ], [ -73.654444985099204, 45.471343619102058 ], [ -73.65447110100672, 45.471309439952407 ], [ -73.654510602042322, 45.471324338404166 ], [ -73.654548596710114, 45.471274733269581 ] ] ] ] } },
|
||||
{ "type": "Feature", "properties": { "cerc_id": 10049989, "provinc_id": "66058923678543010000000", "matricu_18": "923678543010000000", "feature_id": "13439744-342a-473c-888e-4a438b367918", "contr_year": "1955", "height": 8.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "semi-detached", "lot_name": "1561257", "lot_area": 390.2, "build_area": 190.9, "build_type": "2", "floor_num": 2, "unit_num": 1, "region": "layer_83", "g_objectid": 3023363.0, "g_co_mrc": "66023", "g_code_mun": "66058", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.654092192768559, 45.471331936811204 ], [ -73.654163546309576, 45.471234481468947 ], [ -73.654032942866309, 45.471183835136578 ], [ -73.653997595770761, 45.471232239733126 ], [ -73.653961696465771, 45.47121923852815 ], [ -73.653923889899374, 45.471270934461494 ], [ -73.654092192768559, 45.471331936811204 ] ] ] ] } }
|
||||
]
|
||||
}
|
||||
@ -56,6 +56,7 @@ class Building(CityObject):
|
||||
self._cooling_consumption = {}
|
||||
self._domestic_hot_water_consumption = {}
|
||||
self._distribution_systems_electrical_consumption = {}
|
||||
self._self_sufficiency = {}
|
||||
self._onsite_electrical_production = {}
|
||||
self._eave_height = None
|
||||
self._energy_systems = None
|
||||
@ -799,6 +800,14 @@ class Building(CityObject):
|
||||
|
||||
return self._distribution_systems_electrical_consumption
|
||||
|
||||
@distribution_systems_electrical_consumption.setter
|
||||
def distribution_systems_electrical_consumption(self, value):
|
||||
"""
|
||||
attribute to set the total electricity consumption in kWh
|
||||
:param value: float
|
||||
"""
|
||||
self._distribution_systems_electrical_consumption = value
|
||||
|
||||
def _calculate_consumption(self, consumption_type, demand):
|
||||
# todo: modify when COP depends on the hour
|
||||
coefficient_of_performance = 0
|
||||
@ -972,3 +981,18 @@ class Building(CityObject):
|
||||
"""
|
||||
self._pv_generation = value
|
||||
|
||||
@property
|
||||
def self_sufficiency(self):
|
||||
"""
|
||||
temporary attribute to get the self-sufficiency in kWh
|
||||
:return: dict
|
||||
"""
|
||||
return self._self_sufficiency
|
||||
|
||||
@self_sufficiency.setter
|
||||
def self_sufficiency(self, value):
|
||||
"""
|
||||
temporary attribute to set the self-sufficiency in kWh
|
||||
:param value: float
|
||||
"""
|
||||
self._self_sufficiency = value
|
||||
@ -49,11 +49,11 @@ class ArchetypeBasedDemand:
|
||||
if function in ['residential', 'multifamily house', 'single family house']:
|
||||
if height < 6 and adjacency == 'detached':
|
||||
usage = 'Single Family'
|
||||
elif height < 6 and adjacency == 'attached':
|
||||
elif height < 6 and ((adjacency == 'attached') | (adjacency == 'semi-detached')):
|
||||
usage = 'Row house'
|
||||
elif 6 <= height <= 10 and adjacency == 'detached':
|
||||
usage = 'Duplex/triplex'
|
||||
elif 6 <= height <= 10 and adjacency == 'attached':
|
||||
elif 6 <= height <= 10 and ((adjacency == 'attached') | (adjacency == 'semi-detached')):
|
||||
usage = 'Small MURBs'
|
||||
elif 10 < height <= 15:
|
||||
usage = 'Medium MURBs'
|
||||
@ -65,7 +65,7 @@ class ArchetypeBasedDemand:
|
||||
usage = 'Office'
|
||||
elif function in ['commercial', 'retail shop without refrigerated food', 'retail shop with refrigerated food',
|
||||
'stand alone retail', 'strip mall']:
|
||||
if adjacency == 'attached':
|
||||
if (adjacency == 'attached') | (adjacency == 'semi-detached'):
|
||||
usage = 'Commercial attached'
|
||||
else:
|
||||
usage = 'Commercial detached'
|
||||
@ -117,7 +117,6 @@ class ArchetypeBasedDemand:
|
||||
def enrich(self):
|
||||
for building in self.city.buildings:
|
||||
archetype_key = self._get_archetype_key(building)
|
||||
print(archetype_key)
|
||||
if archetype_key and archetype_key in self.archetype_data:
|
||||
demand = self.archetype_data[archetype_key]
|
||||
area = building.thermal_zones_from_internal_zones[0].total_floor_area
|
||||
|
||||
72
main.py
72
main.py
@ -4,23 +4,25 @@ from hub.helpers.dictionaries import Dictionaries
|
||||
from hub.imports.construction_factory import ConstructionFactory
|
||||
from hub.imports.results_factory import ResultFactory
|
||||
from hub.exports.exports_factory import ExportsFactory
|
||||
import subprocess
|
||||
from pathlib import Path
|
||||
|
||||
from hub.imports.weather_factory import WeatherFactory
|
||||
from pv_assessment.electricity_demand_calculator import HourlyElectricityDemand
|
||||
from pv_assessment.pv_system_assessment import PvSystemAssessment
|
||||
from pv_assessment.solar_calculator import SolarCalculator
|
||||
import random_assignation
|
||||
import subprocess
|
||||
from pathlib import Path
|
||||
|
||||
input_file = "data/cmm_test_corrected.geojson"
|
||||
input_file = "data/selected_buildings.geojson"
|
||||
demand_file = "data/energy_demand_data.csv"
|
||||
|
||||
# Define specific paths for outputs from SRA (Simplified Radiosity Algorith) and PV calculation processes
|
||||
output_path = (Path(__file__).parent.parent / 'out_files').resolve()
|
||||
output_path = (Path(__file__).parent.parent / 'hub/out_files').resolve()
|
||||
output_path.mkdir(parents=True, exist_ok=True)
|
||||
sra_output_path = output_path / 'sra_outputs'
|
||||
sra_output_path.mkdir(parents=True, exist_ok=True)
|
||||
pv_assessment_path = output_path / 'pv_outputs'
|
||||
pv_assessment_path.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
city = GeometryFactory(
|
||||
"geojson",
|
||||
input_file,
|
||||
@ -32,6 +34,7 @@ city = GeometryFactory(
|
||||
ConstructionFactory('nrcan', city).enrich()
|
||||
WeatherFactory('epw', city).enrich()
|
||||
ResultFactory('archetypes', city, demand_file).enrich()
|
||||
|
||||
# Export the city data in SRA-compatible format to facilitate solar radiation assessment
|
||||
ExportsFactory('sra', city, sra_output_path).export()
|
||||
# Run SRA simulation using an external command, passing the generated SRA XML file path as input
|
||||
@ -39,7 +42,7 @@ sra_path = (sra_output_path / f'{city.name}_sra.xml').resolve()
|
||||
subprocess.run(['sra', str(sra_path)])
|
||||
# Enrich city data with SRA simulation results for subsequent analysis
|
||||
ResultFactory('sra', city, sra_output_path).enrich()
|
||||
# # Initialize solar calculation parameters (e.g., azimuth, altitude) and compute irradiance and solar angles
|
||||
# Initialize solar calculation parameters (e.g., azimuth, altitude) and compute irradiance and solar angles
|
||||
tilt_angle = 37
|
||||
solar_parameters = SolarCalculator(city=city,
|
||||
surface_azimuth_angle=180,
|
||||
@ -48,17 +51,13 @@ solar_parameters = SolarCalculator(city=city,
|
||||
solar_angles = solar_parameters.solar_angles # Obtain solar angles for further analysis
|
||||
solar_parameters.tilted_irradiance_calculator() # Calculate the solar radiation on a tilted surface
|
||||
# Assignation of Energy System Archetypes to Buildings
|
||||
#TODO this needs to be modified. We should either use the existing percentages or assign systems based on building
|
||||
# functions
|
||||
for building in city.buildings:
|
||||
building.energy_systems_archetype_name = 'Grid Tied PV System'
|
||||
random_assignation.call_random(city.buildings, random_assignation.residential_systems_percentage)
|
||||
EnergySystemsFactory('montreal_future', city).enrich()
|
||||
for building in city.buildings:
|
||||
electricity_demand = HourlyElectricityDemand(building).calculate()
|
||||
PvSystemAssessment(building=building,
|
||||
pv_system=None,
|
||||
battery=None,
|
||||
electricity_demand=electricity_demand,
|
||||
electricity_demand=None,
|
||||
tilt_angle=tilt_angle,
|
||||
solar_angles=solar_angles,
|
||||
pv_installation_type='rooftop',
|
||||
@ -72,3 +71,52 @@ for building in city.buildings:
|
||||
output_path=pv_assessment_path).enrich()
|
||||
|
||||
print("done")
|
||||
|
||||
|
||||
import geopandas as gpd
|
||||
import matplotlib.pyplot as plt
|
||||
from matplotlib.colors import Normalize
|
||||
|
||||
# Load GeoJSON file
|
||||
gdf = gpd.read_file(input_file)
|
||||
|
||||
# Extract self-sufficiency values
|
||||
self_sufficiency_values = [building.self_sufficiency['year'] / 1000 for building in city.buildings]
|
||||
|
||||
# Add self-sufficiency values to GeoDataFrame
|
||||
gdf['self_sufficiency'] = self_sufficiency_values
|
||||
|
||||
# Determine the color normalization range
|
||||
vmin = min(0, gdf['self_sufficiency'].min()) # Include 0 if min is positive
|
||||
vmax = max(0, gdf['self_sufficiency'].max()) # Include 0 if max is negative
|
||||
|
||||
# Set up the figure and axis
|
||||
fig, ax = plt.subplots(1, 1, figsize=(14, 10))
|
||||
|
||||
# Define a colormap and normalize the values
|
||||
cmap = plt.cm.viridis
|
||||
norm = Normalize(vmin=vmin, vmax=vmax)
|
||||
|
||||
# Plot the GeoDataFrame
|
||||
gdf.plot(column='self_sufficiency',
|
||||
cmap=cmap,
|
||||
linewidth=0.8,
|
||||
edgecolor='grey', # Add edges for better distinction
|
||||
legend=False, # Turn off the built-in legend
|
||||
ax=ax)
|
||||
|
||||
# Add a custom colorbar
|
||||
sm = plt.cm.ScalarMappable(cmap=cmap, norm=norm)
|
||||
sm._A = [] # Needed for ScalarMappable with no data
|
||||
cbar = fig.colorbar(sm, ax=ax, fraction=0.03, pad=0.04)
|
||||
cbar.set_label('Self-Sufficiency (kWh/year)', fontsize=12)
|
||||
|
||||
# Add gridlines and axis labels
|
||||
ax.grid(color='lightgrey', linestyle='--', linewidth=0.5, alpha=0.7)
|
||||
ax.set_title('Building Self-Sufficiency Levels', fontsize=16, fontweight='bold', pad=20)
|
||||
ax.set_xlabel('Longitude', fontsize=12)
|
||||
ax.set_ylabel('Latitude', fontsize=12)
|
||||
|
||||
# Improve layout
|
||||
plt.tight_layout()
|
||||
plt.show()
|
||||
|
||||
8764
out_files/sra_outputs/Cote-Saint-Luc.cli
Normal file
8764
out_files/sra_outputs/Cote-Saint-Luc.cli
Normal file
File diff suppressed because it is too large
Load Diff
2556
out_files/sra_outputs/Cote-Saint-Luc_sra.xml
Normal file
2556
out_files/sra_outputs/Cote-Saint-Luc_sra.xml
Normal file
File diff suppressed because it is too large
Load Diff
8761
out_files/sra_outputs/Cote-Saint-Luc_sra_SW.out
Normal file
8761
out_files/sra_outputs/Cote-Saint-Luc_sra_SW.out
Normal file
File diff suppressed because one or more lines are too long
@ -5,59 +5,60 @@ class HourlyElectricityDemand:
|
||||
|
||||
def calculate(self):
|
||||
hourly_electricity_consumption = []
|
||||
energy_systems = self.building.energy_systems
|
||||
# energy_systems = self.building.energy_systems
|
||||
appliance = self.building.appliances_electrical_demand[cte.HOUR] if self.building.appliances_electrical_demand else 0
|
||||
lighting = self.building.lighting_electrical_demand[cte.HOUR] if self.building.lighting_electrical_demand else 0
|
||||
elec_heating = 0
|
||||
elec_cooling = 0
|
||||
elec_dhw = 0
|
||||
if cte.HEATING in self.building.energy_consumption_breakdown[cte.ELECTRICITY]:
|
||||
elec_heating = 1
|
||||
if cte.COOLING in self.building.energy_consumption_breakdown[cte.ELECTRICITY]:
|
||||
elec_cooling = 1
|
||||
if cte.DOMESTIC_HOT_WATER in self.building.energy_consumption_breakdown[cte.ELECTRICITY]:
|
||||
elec_dhw = 1
|
||||
heating = None
|
||||
cooling = None
|
||||
dhw = None
|
||||
# elec_heating = 1
|
||||
# elec_cooling = 1
|
||||
# elec_dhw = 1
|
||||
# if cte.HEATING in self.building.energy_consumption_breakdown[cte.ELECTRICITY]:
|
||||
# elec_heating = 1
|
||||
# if cte.COOLING in self.building.energy_consumption_breakdown[cte.ELECTRICITY]:
|
||||
# elec_cooling = 1
|
||||
# if cte.DOMESTIC_HOT_WATER in self.building.energy_consumption_breakdown[cte.ELECTRICITY]:
|
||||
# elec_dhw = 1
|
||||
# heating = None
|
||||
# cooling = None
|
||||
# dhw = None
|
||||
|
||||
if elec_heating == 1:
|
||||
for energy_system in energy_systems:
|
||||
if cte.HEATING in energy_system.demand_types:
|
||||
for generation_system in energy_system.generation_systems:
|
||||
if generation_system.fuel_type == cte.ELECTRICITY:
|
||||
if cte.HEATING in generation_system.energy_consumption:
|
||||
heating = generation_system.energy_consumption[cte.HEATING][cte.HOUR]
|
||||
else:
|
||||
if len(energy_system.generation_systems) > 1:
|
||||
heating = [x / 2 for x in self.building.heating_consumption[cte.HOUR]]
|
||||
else:
|
||||
heating = self.building.heating_consumption[cte.HOUR]
|
||||
|
||||
if elec_dhw == 1:
|
||||
for energy_system in energy_systems:
|
||||
if cte.DOMESTIC_HOT_WATER in energy_system.demand_types:
|
||||
for generation_system in energy_system.generation_systems:
|
||||
if generation_system.fuel_type == cte.ELECTRICITY:
|
||||
if cte.DOMESTIC_HOT_WATER in generation_system.energy_consumption:
|
||||
dhw = generation_system.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.HOUR]
|
||||
else:
|
||||
if len(energy_system.generation_systems) > 1:
|
||||
dhw = [x / 2 for x in self.building.domestic_hot_water_consumption[cte.HOUR]]
|
||||
else:
|
||||
dhw = self.building.domestic_hot_water_consumption[cte.HOUR]
|
||||
|
||||
if elec_cooling == 1:
|
||||
for energy_system in energy_systems:
|
||||
if cte.COOLING in energy_system.demand_types:
|
||||
for generation_system in energy_system.generation_systems:
|
||||
if cte.COOLING in generation_system.energy_consumption:
|
||||
cooling = generation_system.energy_consumption[cte.COOLING][cte.HOUR]
|
||||
else:
|
||||
if len(energy_system.generation_systems) > 1:
|
||||
cooling = [x / 2 for x in self.building.cooling_consumption[cte.HOUR]]
|
||||
else:
|
||||
cooling = self.building.cooling_consumption[cte.HOUR]
|
||||
# if elec_heating == 1:
|
||||
# for energy_system in energy_systems:
|
||||
# if cte.HEATING in energy_system.demand_types:
|
||||
# for generation_system in energy_system.generation_systems:
|
||||
# if generation_system.fuel_type == cte.ELECTRICITY:
|
||||
# if cte.HEATING in generation_system.energy_consumption:
|
||||
# heating = generation_system.energy_consumption[cte.HEATING][cte.HOUR]
|
||||
# else:
|
||||
# if len(energy_system.generation_systems) > 1:
|
||||
# heating = [x / 2 for x in self.building.heating_consumption[cte.HOUR]]
|
||||
# else:
|
||||
# heating = self.building.heating_consumption[cte.HOUR]
|
||||
heating = self.building.heating_demand[cte.HOUR] * 70
|
||||
# if elec_dhw == 1:
|
||||
# for energy_system in energy_systems:
|
||||
# if cte.DOMESTIC_HOT_WATER in energy_system.demand_types:
|
||||
# for generation_system in energy_system.generation_systems:
|
||||
# if generation_system.fuel_type == cte.ELECTRICITY:
|
||||
# if cte.DOMESTIC_HOT_WATER in generation_system.energy_consumption:
|
||||
# dhw = generation_system.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.HOUR]
|
||||
# else:
|
||||
# if len(energy_system.generation_systems) > 1:
|
||||
# dhw = [x / 2 for x in self.building.domestic_hot_water_consumption[cte.HOUR]]
|
||||
# else:
|
||||
# dhw = self.building.domestic_hot_water_consumption[cte.HOUR]
|
||||
dhw = self.building.domestic_hot_water_heat_demand[cte.HOUR] * 70
|
||||
# if elec_cooling == 1:
|
||||
# for energy_system in energy_systems:
|
||||
# if cte.COOLING in energy_system.demand_types:
|
||||
# for generation_system in energy_system.generation_systems:
|
||||
# if cte.COOLING in generation_system.energy_consumption:
|
||||
# cooling = generation_system.energy_consumption[cte.COOLING][cte.HOUR]
|
||||
# else:
|
||||
# if len(energy_system.generation_systems) > 1:
|
||||
# cooling = [x / 2 for x in self.building.cooling_consumption[cte.HOUR]]
|
||||
# else:
|
||||
# cooling = self.building.cooling_consumption[cte.HOUR]
|
||||
cooling = self.building.cooling_demand[cte.HOUR]
|
||||
|
||||
for i in range(8760):
|
||||
hourly = 0
|
||||
@ -72,4 +73,5 @@ class HourlyElectricityDemand:
|
||||
if dhw is not None:
|
||||
hourly += dhw[i]
|
||||
hourly_electricity_consumption.append(hourly)
|
||||
self.building.distribution_systems_electrical_consumption = hourly_electricity_consumption
|
||||
return hourly_electricity_consumption
|
||||
|
||||
@ -135,7 +135,7 @@ class PvSystemAssessment:
|
||||
if self.electricity_demand is not None:
|
||||
electricity_demand = self.electricity_demand
|
||||
else:
|
||||
electricity_demand = [demand / cte.WATTS_HOUR_TO_JULES for demand in
|
||||
electricity_demand = [demand*1000 for demand in
|
||||
HourlyElectricityDemand(self.building).calculate()]
|
||||
rooftops_pv_output = [0] * len(electricity_demand)
|
||||
facades_pv_output = [0] * len(electricity_demand)
|
||||
@ -158,13 +158,15 @@ class PvSystemAssessment:
|
||||
total_hourly_pv_output = [rooftops_pv_output[i] + facades_pv_output[i] for i in range(8760)]
|
||||
imported_electricity = [0] * 8760
|
||||
exported_electricity = [0] * 8760
|
||||
self.building.self_sufficiency['hour'] = []
|
||||
for i in range(len(electricity_demand)):
|
||||
transfer = total_hourly_pv_output[i] - electricity_demand[i]
|
||||
self.building.self_sufficiency['hour'].append(transfer)
|
||||
if transfer > 0:
|
||||
exported_electricity[i] = transfer
|
||||
else:
|
||||
imported_electricity[i] = abs(transfer)
|
||||
|
||||
self.building.self_sufficiency['year'] = sum(self.building.self_sufficiency['hour'])
|
||||
results = {'building_name': self.building.name,
|
||||
'total_floor_area_m2': self.building.thermal_zones_from_internal_zones[0].total_floor_area,
|
||||
'roof_area_m2': self.building.roofs[0].perimeter_area, 'rooftop_panels': rooftop_number_of_panels,
|
||||
|
||||
0
pv_assessment/self_sufficiency.py
Normal file
0
pv_assessment/self_sufficiency.py
Normal file
@ -16,7 +16,7 @@ energy_systems_format = 'montreal_future'
|
||||
|
||||
# parameters:
|
||||
residential_systems_percentage = {
|
||||
'Central Hydronic Air and Gas Source Heating System with Unitary Split Cooling and Air Source HP DHW and Grid Tied PV': 100,
|
||||
'Central Hydronic Air and Gas Source Heating System with Unitary Split Cooling and Air Source HP DHW and Grid Tied PV': 0,
|
||||
'Central Hydronic Air and Electricity Source Heating System with Unitary Split Cooling and Air Source HP DHW and Grid Tied PV': 0,
|
||||
'Central Hydronic Ground and Gas Source Heating System with Unitary Split Cooling and Air Source HP DHW and Grid Tied PV': 0,
|
||||
'Central Hydronic Ground and Electricity Source Heating System with Unitary Split Cooling and Air Source HP DHW '
|
||||
@ -30,27 +30,27 @@ residential_systems_percentage = {
|
||||
'Central Hydronic Ground and Electricity Source Heating System with Unitary Split and Air Source HP DHW': 0,
|
||||
'Central Hydronic Water and Gas Source Heating System with Unitary Split and Air Source HP DHW': 0,
|
||||
'Central Hydronic Water and Electricity Source Heating System with Unitary Split and Air Source HP DHW': 0,
|
||||
'Grid Tied PV System': 0,
|
||||
'Grid Tied PV System': 10,
|
||||
'system 1 gas': 0,
|
||||
'system 1 gas grid tied pv': 0,
|
||||
'system 1 gas grid tied pv': 5,
|
||||
'system 1 electricity': 0,
|
||||
'system 1 electricity grid tied pv': 0,
|
||||
'system 1 electricity grid tied pv': 10,
|
||||
'system 2 gas': 0,
|
||||
'system 2 gas grid tied pv': 0,
|
||||
'system 2 gas grid tied pv': 10,
|
||||
'system 2 electricity': 0,
|
||||
'system 2 electricity grid tied pv': 0,
|
||||
'system 2 electricity grid tied pv': 10,
|
||||
'system 3 and 4 gas': 0,
|
||||
'system 3 and 4 gas grid tied pv': 0,
|
||||
'system 3 and 4 gas grid tied pv': 10,
|
||||
'system 3 and 4 electricity': 0,
|
||||
'system 3 and 4 electricity grid tied pv': 0,
|
||||
'system 3 and 4 electricity grid tied pv': 5,
|
||||
'system 6 gas': 0,
|
||||
'system 6 gas grid tied pv': 0,
|
||||
'system 6 gas grid tied pv': 10,
|
||||
'system 6 electricity': 0,
|
||||
'system 6 electricity grid tied pv': 0,
|
||||
'system 6 electricity grid tied pv': 10,
|
||||
'system 8 gas': 0,
|
||||
'system 8 gas grid tied pv': 0,
|
||||
'system 8 gas grid tied pv': 10,
|
||||
'system 8 electricity': 0,
|
||||
'system 8 electricity grid tied pv': 0,
|
||||
'system 8 electricity grid tied pv': 10,
|
||||
}
|
||||
|
||||
non_residential_systems_percentage = {'system 1 gas': 0,
|
||||
@ -102,8 +102,9 @@ def _retrieve_buildings(path, year_of_construction_field=None,
|
||||
def call_random(_buildings: [Building], _systems_percentage):
|
||||
_buildings_with_systems = []
|
||||
_systems_distribution = []
|
||||
_selected_buildings = list(range(0, len(_buildings)))
|
||||
_selected_buildings = list(range(len(_buildings)))
|
||||
random.shuffle(_selected_buildings)
|
||||
|
||||
total = 0
|
||||
maximum = 0
|
||||
add_to = 0
|
||||
@ -116,14 +117,24 @@ def call_random(_buildings: [Building], _systems_percentage):
|
||||
maximum = number_of_buildings
|
||||
add_to = len(_systems_distribution) - 1
|
||||
total += number_of_buildings
|
||||
missing = 0
|
||||
if total != len(_selected_buildings):
|
||||
|
||||
missing = len(_selected_buildings) - total
|
||||
if missing != 0:
|
||||
if missing > 0:
|
||||
_systems_distribution[add_to]['number_of_buildings'] += missing
|
||||
elif missing < 0:
|
||||
for case in sorted(_systems_distribution, key=lambda x: -x['number_of_buildings']):
|
||||
if case['number_of_buildings'] > 0:
|
||||
reduce_by = min(-missing, case['number_of_buildings'])
|
||||
case['number_of_buildings'] -= reduce_by
|
||||
missing += reduce_by
|
||||
if missing == 0:
|
||||
break
|
||||
total = sum(case['number_of_buildings'] for case in _systems_distribution)
|
||||
assert total == len(_selected_buildings), f"Final total {total} does not match available {len(_selected_buildings)}"
|
||||
|
||||
_position = 0
|
||||
for case in _systems_distribution:
|
||||
for i in range(0, case['number_of_buildings']):
|
||||
for _ in range(case['number_of_buildings']):
|
||||
_buildings[_selected_buildings[_position]].energy_systems_archetype_name = case['system']
|
||||
_position += 1
|
||||
return _buildings
|
||||
|
||||
19
select_features.py
Normal file
19
select_features.py
Normal file
@ -0,0 +1,19 @@
|
||||
import geopandas as gpd
|
||||
from shapely.geometry import Polygon
|
||||
|
||||
points = [
|
||||
(-73.65522099550455, 45.47216648812992),
|
||||
(-73.65201191054271, 45.47096942503966),
|
||||
(-73.65299060423152, 45.46955428052838),
|
||||
(-73.65532718525228, 45.47041615556808),
|
||||
(-73.65522099550455, 45.47216648812992)
|
||||
]
|
||||
|
||||
bounding_polygon = Polygon(points)
|
||||
|
||||
geojson_path = './data/cerc_cmm_corrected.geojson'
|
||||
gdf = gpd.read_file(geojson_path)
|
||||
|
||||
filtered_gdf = gdf[gdf.intersects(bounding_polygon)]
|
||||
|
||||
filtered_gdf.to_file("./data/selected_buildings.geojson", driver="GeoJSON")
|
||||
Loading…
Reference in New Issue
Block a user