diff --git a/tests/models/test_models.py b/tests/models/test_models.py
new file mode 100644
index 00000000..e692736e
--- /dev/null
+++ b/tests/models/test_models.py
@@ -0,0 +1,62 @@
+from workflow.lib.inputs import Inputs
+from workflow.lib.models import Models
+from pathlib import Path
+import pytest
+import os
+import shutil
+
+
+def test_model_downloads_comstock():
+
+    current_directory = Path(__file__).resolve().parent
+
+    # folder to download models
+    folder_name = Path(os.path.join(current_directory, 'comsstock'))
+
+    id = ['bldg0000001','bldg0000002']
+
+    objA = Inputs
+    objA.__init__(Inputs, '2021','comstock_tmy3_release_1','00', id,  folder_name)
+
+    # remove if folder exists
+    shutil.rmtree(folder_name, ignore_errors=True)
+
+    objB = Models
+    objB.download_models(objA)
+
+    save_folder_1 = os.path.join(folder_name, id[0], 'models', id[0] + '.osm')
+    workflow_1 = os.path.join(folder_name, id[0], 'workflow.osw')
+    save_folder_2 = os.path.join(folder_name, id[1], 'models', id[1] + '.osm')
+    workflow_2 = os.path.join(folder_name, id[1], 'workflow.osw')
+
+    # check if models are downloaded
+    assert os.path.exists(save_folder_1)
+    assert os.path.exists(save_folder_2)
+    assert os.path.exists(workflow_1)
+    assert os.path.exists(workflow_2)
+
+def test_model_downloads_resstock():
+
+    current_directory = Path(__file__).resolve().parent
+
+    folder_name = Path(os.path.join(current_directory, 'resstock'))
+    id = ['bldg0000003','bldg0000004']
+
+    objA = Inputs
+    objA.__init__(Inputs, '2021','resstock_tmy3_release_1','00', id, folder_name)
+
+    shutil.rmtree(folder_name, ignore_errors=True)
+
+    objB = Models
+    objB.download_models(objA)
+
+
+    save_folder_1 = os.path.join(folder_name, id[0], 'models', id[0] + '.osm')
+    workflow_1 = os.path.join(folder_name, id[0], 'workflow.osw')
+    save_folder_2 = os.path.join(folder_name, id[1], 'models', id[1] + '.osm')
+    workflow_2 = os.path.join(folder_name, id[1], 'workflow.osw')
+
+    assert os.path.exists(save_folder_1)
+    assert os.path.exists(workflow_1)
+    assert os.path.exists(save_folder_2)
+    assert os.path.exists(workflow_2)
diff --git a/workflow/README.md b/workflow/README.md
new file mode 100644
index 00000000..ffb33b76
--- /dev/null
+++ b/workflow/README.md
@@ -0,0 +1,2 @@
+# Buildstock Alfalfa workflow
+
diff --git a/workflow/base_files/end_use_profiles_mapping.xlsx b/workflow/base_files/end_use_profiles_mapping.xlsx
new file mode 100644
index 00000000..d45c14c8
Binary files /dev/null and b/workflow/base_files/end_use_profiles_mapping.xlsx differ
diff --git a/workflow/base_files/external_TMY3_sources.csv b/workflow/base_files/external_TMY3_sources.csv
new file mode 100644
index 00000000..a5110be6
--- /dev/null
+++ b/workflow/base_files/external_TMY3_sources.csv
@@ -0,0 +1,1068 @@
+WMO,station_name,data_source,lat,lon,http_link,host
+690190,Abilene-Dyess AFB,TMY3,,,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/TX_Texas/USA_TX_Abilene-Dyess.AFB.690190_TMY3.zip,https://climate.onebuilding.org
+704540,Adak_Nas,TMY3,51.88,-176.65,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Adak.NAS.704540_TMY3/USA_AK_Adak.NAS.704540_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+701718,Ambler,TMY3,67.1,-157.85,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Ambler.701718_TMY3/USA_AK_Ambler.701718_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+701625,Anaktuvuk_Pass,TMY3,68.13,-151.73,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Anaktuvuk.Pass.701625_TMY3/USA_AK_Anaktuvuk.Pass.701625_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702720,Anchorage_Elmendorf,TMY3,61.25,-149.8,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Anchorage-Elmendorf.AFB.702720_TMY3/USA_AK_Anchorage-Elmendorf.AFB.702720_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702725,Lake_Hood_Seaplane,TMY3,61.18,-149.97,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Anchorage-Lake.Hood.Seaplane.Base.702725_TMY3/USA_AK_Anchorage-Lake.Hood.Seaplane.Base.702725_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702735,Anchorage_Merrill_Field,TMY3,61.22,-149.85,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Anchorage-Merrill.Field.702735_TMY3/USA_AK_Anchorage-Merrill.Field.702735_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702730,Anchorage_Intl_Ap,TMY3,61.18,-150,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Anchorage.Intl.AP.702730_TMY3/USA_AK_Anchorage.Intl.AP.702730_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702320,Aniak_Airport,TMY3,61.58,-159.53,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Aniak.AP.702320_TMY3/USA_AK_Aniak.AP.702320_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+703980,Annette_Island_Ap,TMY3,55.05,-131.57,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Annette.Island.AP.703980_TMY3/USA_AK_Annette.Island.AP.703980_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702075,Anvik,TMY3,62.65,-160.18,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Anvik.702075_TMY3/USA_AK_Anvik.702075_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+700260,Barrow_W_Post_W_Rogers_Arpt_N,TMY3,71.32,-156.62,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Barrow-W.Post-W.Rogers.AP.700260_TMY3/USA_AK_Barrow-W.Post-W.Rogers.AP.700260_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702190,Bethel_Airport,TMY3,60.78,-161.83,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Bethel.AP.702190_TMY3/USA_AK_Bethel.AP.702190_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+701740,Bettles_Field,TMY3,66.92,-151.52,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Bettles.Field.701740_TMY3/USA_AK_Bettles.Field.701740_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702670,Big_Delta_Allen_Aaf,TMY3,64,-145.72,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Big.Delta-Allen.AAF.702670_TMY3/USA_AK_Big.Delta-Allen.AAF.702670_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702986,Big_River_Lake,TMY3,60.82,-152.3,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Big.River.Lake.702986_TMY3/USA_AK_Big.River.Lake.702986_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702746,Birchwood,TMY3,61.42,-149.52,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Birchwood.702746_TMY3/USA_AK_Birchwood.702746_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702606,Chulitna,TMY3,62.88,-149.83,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Chulitna.702606_TMY3/USA_AK_Chulitna.702606_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+703160,Cold_Bay_Arpt,TMY3,55.2,-162.72,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Cold.Bay.AP.703160_TMY3/USA_AK_Cold.Bay.AP.703160_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702960,Cordova,TMY3,60.5,-145.5,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Cordova.702960_TMY3/USA_AK_Cordova.702960_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+700637,Deadhorse,TMY3,70.2,-148.48,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Deadhorse.700637_TMY3/USA_AK_Deadhorse.700637_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
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+702710,Gulkana_Intermediate_Field,TMY3,62.15,-145.45,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Gulkana.702710_TMY3/USA_AK_Gulkana.702710_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
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+702495,Hayes_River,TMY3,61.98,-152.08,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Hayes.River.702495_TMY3/USA_AK_Hayes.River.702495_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702647,Healy_River_Airport,TMY3,63.88,-149.02,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Healy.River.AP.702647_TMY3/USA_AK_Healy.River.AP.702647_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
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+702186,Hooper_Bay,TMY3,61.52,-166.15,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Hooper.Bay.702186_TMY3/USA_AK_Hooper.Bay.702186_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702225,Huslia,TMY3,65.7,-156.38,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Huslia.702225_TMY3/USA_AK_Huslia.702225_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+703884,Hydaburg_Seaplane,TMY3,55.2,-132.83,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Hydaburg.Seaplane.Base.703884_TMY3/USA_AK_Hydaburg.Seaplane.Base.703884_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+703400,Iliamna_Arpt,TMY3,59.75,-154.92,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Iliamna.AP.703400_TMY3/USA_AK_Iliamna.AP.703400_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+703810,Juneau_IntL_Arpt,TMY3,58.35,-134.58,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Juneau.Intl.AP.703810_TMY3/USA_AK_Juneau.Intl.AP.703810_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+703855,Kake_Seaplane_Base,TMY3,56.97,-133.95,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Kake.Seaplane.Base.703855_TMY3/USA_AK_Kake.Seaplane.Base.703855_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702590,Kenai_Municipal_Ap,TMY3,60.58,-151.23,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Kenai.Muni.AP.702590_TMY3/USA_AK_Kenai.Muni.AP.702590_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+703950,Ketchikan_Intl_Ap,TMY3,55.37,-131.72,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Ketchikan.Intl.AP.703950_TMY3/USA_AK_Ketchikan.Intl.AP.703950_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+703260,King_Salmon_Arpt,TMY3,58.68,-156.65,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_King.Salmon.AP.703260_TMY3/USA_AK_King.Salmon.AP.703260_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+703500,Kodiak_Airport,TMY3,57.75,-152.5,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Kodiak.AP.703500_TMY3/USA_AK_Kodiak.AP.703500_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+701330,Kotzebue_Ralph_Wein_Memorial,TMY3,66.88,-162.6,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Kotzebue-Ralph.Wein.Mem.AP.701330_TMY3/USA_AK_Kotzebue-Ralph.Wein.Mem.AP.701330_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702310,Mcgrath_Arpt,TMY3,62.95,-155.6,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_McGrath.AP.702310_TMY3/USA_AK_McGrath.AP.702310_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702185,Mekoryuk,TMY3,60.37,-166.27,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Mekoryuk.702185_TMY3/USA_AK_Mekoryuk.702185_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
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+702460,Minchumina,TMY3,63.88,-152.28,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Minchumina.702460_TMY3/USA_AK_Minchumina.702460_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
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+702000,Nome_Municipal_Arpt,TMY3,64.52,-165.45,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Nome.Muni.AP.702000_TMY3/USA_AK_Nome.Muni.AP.702000_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702910,Northway_Airport,TMY3,62.97,-141.93,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Northway.AP.702910_TMY3/USA_AK_Northway.AP.702910_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702740,Palmer_Municipal,TMY3,61.6,-149.08,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Palmer.Muni.AP.702740_TMY3/USA_AK_Palmer.Muni.AP.702740_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+703860,Petersburg,TMY3,56.8,-132.95,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Petersburg.703860_TMY3/USA_AK_Petersburg.703860_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
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+703330,Port_Heiden,TMY3,56.95,-158.62,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Port.Heiden.703330_TMY3/USA_AK_Port.Heiden.703330_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702005,Saint_Mary_S_Awos,TMY3,62.07,-163.3,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Saint.Marys.AWOS.702005_TMY3/USA_AK_Saint.Marys.AWOS.702005_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
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+702770,Seward,TMY3,60.12,-149.45,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Seward.702770_TMY3/USA_AK_Seward.702770_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
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+701195,Shishmaref_Awos,TMY3,66.27,-166.05,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Shishmaref.AWOS.701195_TMY3/USA_AK_Shishmaref.AWOS.701195_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+703710,Sitka_Japonski_Ap,TMY3,57.05,-135.37,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Sitka-Japonski.Island.AP.703710_TMY3/USA_AK_Sitka-Japonski.Island.AP.703710_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+703620,Skagway_Airport,TMY3,59.47,-135.3,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Skagway.AP.703620_TMY3/USA_AK_Skagway.AP.703620_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+703407,Sleetmute,TMY3,61.72,-157.15,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Sleetmute.703407_TMY3/USA_AK_Sleetmute.703407_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+702595,Soldotna,TMY3,60.47,-151.03,/north_and_central_america_wmo_region_4/USA/AK/USA_AK_Soldotna.702595_TMY3/USA_AK_Soldotna.702595_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
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+785263,San_Juan_L_M_Marin_Intl_Ap,TMY3,18.43,-66,/north_and_central_america_wmo_region_4/PRI//PRI_San.Juan-Luis.Munoz.Marin.Intl.AP.785263_TMY3/PRI_San.Juan-Luis.Munoz.Marin.Intl.AP.785263_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+785260,San_Juan_Intl_Arpt,TMY3,18.42,-66,/north_and_central_america_wmo_region_4/PRI//PRI_San.Juan.Intl.AP.785260_TMY3/PRI_San.Juan.Intl.AP.785260_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+785430,Charlotte_Amalie_Harry_S_Trum,TMY3,18.35,-64.97,/north_and_central_america_wmo_region_4/VIR//VIR_Charlotte.Amalie-Harry.S.Truman.AP.785430_TMY3/VIR_Charlotte.Amalie-Harry.S.Truman.AP.785430_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+912180,Andersen_Afb,TMY3,13.57,144.92,/southwest_pacific_wmo_region_5/GUM//GUM_Andersen.AFB.912180_TMY3/GUM_Andersen.AFB.912180_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+912120,Guam_Wfo,TMY3,13.48,144.8,/southwest_pacific_wmo_region_5/GUM//GUM_Tamuning-Won.Pat.Intl.AP.912120_TMY3/GUM_Tamuning-Won.Pat.Intl.AP.912120_TMY3.epw,https://energyplus-weather.s3.amazonaws.com
+723450,Harrison-Boone County Rgnl AP,TMY3,36.267,-93.15,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/AR_Arkansas/USA_AR_Harrison-Boone.County.Rgnl.AP.723450_TMY3.zip,https://climate.onebuilding.org
+722720,Bisbee Douglas Intl AP,TMY3,31.467,-109.6,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/AZ_Arizona/USA_AZ_Bisbee.Douglas.Intl.AP.722720_TMY3.zip,https://climate.onebuilding.org
+725930,Salinas Muni AP,TMY3,36.667,-121.6,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/CA_California/USA_CA_Salinas.Muni.AP.725930_TMY3.zip,https://climate.onebuilding.org
+725850,Hayward Exec AP,TMY3,37.667,-122.117,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/CA_California/USA_CA_Hayward.Exec.AP.725850_TMY3.zip,https://climate.onebuilding.org
+747870,Daytona Beach Intl AP,TMY3,29.183,-81.067,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/FL_Florida/USA_FL_Daytona.Beach.Intl.AP.747870_TMY3.zip,https://climate.onebuilding.org
+747830,Fort Lauderdale-Hollywood Intl AP,TMY3,26.067,-80.15,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/FL_Florida/USA_FL_Fort.Lauderdale-Hollywood.Intl.AP.747830_TMY3.zip,https://climate.onebuilding.org
+747560,Gainesville Rgnl AP,TMY3,29.7,-82.283,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/FL_Florida/USA_FL_Gainesville.Rgnl.AP.747560_TMY3.zip,https://climate.onebuilding.org
+747930,Vero Beach Muni AP,TMY3,27.65,-80.417,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/FL_Florida/USA_FL_Vero.Beach.Muni.AP.747930_TMY3.zip,https://climate.onebuilding.org
+747820,Jacksonville Exec-Craig AP,TMY3,30.333,-81.517,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/FL_Florida/USA_FL_Jacksonville.Exec-Craig.AP.747820_TMY3.zip,https://climate.onebuilding.org
+723160,Alma-Bacon County AP,TMY3,31.533,-82.5,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/GA_Georgia/USA_GA_Alma-Bacon.County.AP.723160_TMY3.zip,https://climate.onebuilding.org
+725420,Burlington-Southeast Iowa Rgnl AP,TMY3,40.783,-91.117,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/IA_Iowa/USA_IA_Burlington-Southeast.Iowa.Rgnl.AP.725420_TMY3.zip,https://climate.onebuilding.org
+724430,Quincy Rgnl AP-Baldwin Field,TMY3,39.933,-91.2,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/IL_Illinois/USA_IL_Quincy.Rgnl.AP-Baldwin.Field.724430_TMY3.zip,https://climate.onebuilding.org
+724190,Jackson-Carroll AP,TMY3,37.583,-83.317,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/KY_Kentucky/USA_KY_Jackson-Carroll.AP.724190_TMY3.zip,https://climate.onebuilding.org
+722320,Baton Rouge Metro AP,TMY3,30.533,-91.15,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/LA_Louisiana/USA_LA_Baton.Rouge.Metro.AP.722320_TMY3.zip,https://climate.onebuilding.org
+725100,Worcester Rgnl AP,TMY3,42.267,-71.883,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/MA_Massachusetts/USA_MA_Worcester.Rgnl.AP.725100_TMY3.zip,https://climate.onebuilding.org
+723980,Salisbury-Ocean City-Wicomico Rgnl AP,TMY3,38.333,-75.517,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/MD_Maryland/USA_MD_Salisbury-Ocean.City-Wicomico.Rgnl.AP.723980_TMY3.zip,https://climate.onebuilding.org
+726070,Bangor Intl AP,TMY3,44.8,-68.817,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/ME_Maine/USA_ME_Bangor.Intl.AP.726070_TMY3.zip,https://climate.onebuilding.org
+723290,Cape Girardeau Rgnl AP,TMY3,37.233,-89.567,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/MO_Missouri/USA_MO_Cape.Girardeau.Rgnl.AP.723290_TMY3.zip,https://climate.onebuilding.org
+724420,Rolla Natl AP,TMY3,38.133,-91.767,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/MO_Missouri/USA_MO_Rolla.Natl.AP.724420_TMY3.zip,https://climate.onebuilding.org
+747570,Gulfport-Biloxi Intl AP,TMY3,30.4,-89.067,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/MS_Mississippi/USA_MS_Gulfport-Biloxi.Intl.AP.747570_TMY3.zip,https://climate.onebuilding.org
+747580,Greenwood-Leflore AP,TMY3,33.5,-90.083,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/MS_Mississippi/USA_MS_Greenwood-Leflore.AP.747580_TMY3.zip,https://climate.onebuilding.org
+727740,Butte-Mooney AP,TMY3,45.95,-112.5,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/MT_Montana/USA_MT_Butte-Mooney.AP.727740_TMY3.zip,https://climate.onebuilding.org
+727690,Cut Bank Intl AP,TMY3,48.6,-112.367,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/MT_Montana/USA_MT_Cut.Bank.Intl.AP.727690_TMY3.zip,https://climate.onebuilding.org
+723010,Hickory Rgnl AP,TMY3,35.733,-81.383,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/NC_North_Carolina/USA_NC_Hickory.Rgnl.AP.723010_TMY3.zip,https://climate.onebuilding.org
+723070,Elizabeth City Rgnl AP-CGAS Elizabeth City,TMY3,36.26,-76.179,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/NC_North_Carolina/USA_NC_Elizabeth.City.Rgnl.AP-CGAS.Elizabeth.City.723070_TMY3.zip,https://climate.onebuilding.org
+727570,Grand Forks Intl AP,TMY3,47.95,-97.183,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/ND_North_Dakota/USA_ND_Grand.Forks.Intl.AP.727570_TMY3.zip,https://climate.onebuilding.org
+727630,Dickinson Roosevelt Rgnl AP,TMY3,46.8,-102.8,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/ND_North_Dakota/USA_ND_Dickinson.Roosevelt.Rgnl.AP.727630_TMY3.zip,https://climate.onebuilding.org
+725053,New York-Central Park Observatory-Belevedere Castl,TMY3,40.779,-73.969,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/NY_New_York/USA_NY_New.York-Central.Park.Observatory-Belvedere.Castle.725053_TMY3.zip,https://climate.onebuilding.org
+725220,Glens Falls-Bennett Meml AP,TMY3,43.35,-73.617,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/NY_New_York/USA_NY_Glens.Falls-Bennett.Meml.AP.725220_TMY3.zip,https://climate.onebuilding.org
+725050,Islip-Long Island MacArthur AP,TMY3,40.79,-73.1,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/NY_New_York/USA_NY_Islip-Long.Island.MacArthur.AP.725050_TMY3.zip,https://climate.onebuilding.org
+724200,Mansfield Lahm Rgnl AP,TMY3,40.817,-82.517,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/OH_Ohio/USA_OH_Mansfield.Lahm.Rgnl.AP.724200_TMY3.zip,https://climate.onebuilding.org
+724530,Ponca City Rgnl AP,TMY3,36.729,-97.1,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/OK_Oklahoma/USA_OK_Ponca.City.Rgnl.AP.724530_TMY3.zip,https://climate.onebuilding.org
+746410,Gage-Shattuck AP,TMY3,36.3,-99.767,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/OK_Oklahoma/USA_OK_Gage-Shattuck.AP.746410_TMY3.zip,https://climate.onebuilding.org
+726920,Redmond Muni AP-Roberts Field,TMY3,44.25,-121.167,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/OR_Oregon/USA_OR_Redmond.Muni.AP-Roberts.Field.726920_TMY3.zip,https://climate.onebuilding.org
+723990,Harrisburg Intl AP,TMY3,40.2,-76.767,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/PA_Pennsylvania/USA_PA_Harrisburg.Intl.AP.723990_TMY3.zip,https://climate.onebuilding.org
+723190,Anderson Rgnl AP,TMY3,34.5,-82.717,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/SC_South_Carolina/USA_SC_Anderson.Rgnl.AP.723190_TMY3.zip,https://climate.onebuilding.org
+723350,Bristol-Tri-Cities Rgnl AP,TMY3,36.467,-82.4,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/TN_Tennessee/USA_TN_Bristol-Tri-Cities.Rgnl.AP.723350_TMY3.zip,https://climate.onebuilding.org
+723250,Crossville Meml AP-Whitson Field,TMY3,35.95,-85.083,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/TN_Tennessee/USA_TN_Crossville.Meml.AP-Whitson.Field.723250_TMY3.zip,https://climate.onebuilding.org
+747390,Fort Worth Meacham Intl AP,TMY3,32.817,-97.367,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/TX_Texas/USA_TX_Fort.Worth.Meacham.Intl.AP.747390_TMY3.zip,https://climate.onebuilding.org
+723660,Childress Muni AP,TMY3,34.433,-100.283,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/TX_Texas/USA_TX_Childress.Muni.AP.723660_TMY3.zip,https://climate.onebuilding.org
+747460,College Station-Easterwood AP,TMY3,30.583,-96.367,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/TX_Texas/USA_TX_College.Station-Easterwood.AP.747460_TMY3.zip,https://climate.onebuilding.org
+722440,Houston-Hobby AP,TMY3,29.65,-95.283,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/TX_Texas/USA_TX_Houston-Hobby.AP.722440_TMY3.zip,https://climate.onebuilding.org
+747360,Dalhart Muni AP,TMY3,36.017,-102.55,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/TX_Texas/USA_TX_Dalhart.Muni.AP.747360_TMY3.zip,https://climate.onebuilding.org
+722580,Dallas Love Field,TMY3,32.85,-96.85,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/TX_Texas/USA_TX_Dallas.Love.Field.722580_TMY3.zip,https://climate.onebuilding.org
+727900,Ephrata Muni AP,TMY3,47.3,-119.517,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/WA_Washington/USA_WA_Ephrata.Muni.AP.727900_TMY3.zip,https://climate.onebuilding.org
+720749,Oak Harbor-NAS Whidbey Island-Ault Field,TMY3,48.35,-122.667,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/WA_Washington/USA_WA_Oak.Harbor-NAS.Whidbey.Island-Ault.Field.720749_TMY3.zip,https://climate.onebuilding.org
+726690,Rawlins Muni AP-Harvey Field,TMY3,41.8,-107.2,/WMO_Region_4_North_and_Central_America/USA_United_States_of_America/WY_Wyoming/USA_WY_Rawlins.Muni.AP-Harvey.Field.726690_TMY3.zip,https://climate.onebuilding.org
diff --git a/workflow/base_files/measures/alfalfa_vars/measure.rb b/workflow/base_files/measures/alfalfa_vars/measure.rb
new file mode 100644
index 00000000..c55de88a
--- /dev/null
+++ b/workflow/base_files/measures/alfalfa_vars/measure.rb
@@ -0,0 +1,131 @@
+# insert your copyright here
+
+# see the URL below for information on how to write OpenStudio measures
+# http://nrel.github.io/OpenStudio-user-documentation/reference/measure_writing_guide/
+
+# start the measure
+class AlfalfaVariables < OpenStudio::Measure::ModelMeasure
+  # human readable name
+  def name
+    return 'AlfalfaVariables'
+  end
+
+  # human readable description
+  def description
+    return 'Add custom variables for Alfalfa'
+  end
+
+  # human readable description of modeling approach
+  def modeler_description
+    return 'Add EMS global variables required by Alfalfa'
+  end
+
+  # define the arguments that the user will input
+  def arguments(model)
+    args = OpenStudio::Measure::OSArgumentVector.new
+    return args
+  end
+
+  def create_input(model, name, freq)
+    # The purpose of this function is to create an Alfalfa input that is accessible via python plugins
+
+    global = OpenStudio::Model::EnergyManagementSystemGlobalVariable.new(model, name)
+    global.setExportToBCVTB(true)
+
+    # The global variable's value must be sent to output an variable so that python programs can read it
+    # don't be mistaken, An OuputVariable object is created, but this is "input" to the simulation, from Alfalfa clients
+    global_ems_output = OpenStudio::Model::EnergyManagementSystemOutputVariable.new(model, global)
+    global_ems_output.setName(name + "_EMS_Value")
+    global_ems_output.setUpdateFrequency("SystemTimestep")
+
+    # Request the custom ems output var creaed in the previous step
+    global_output = OpenStudio::Model::OutputVariable.new(global_ems_output.nameString(), model)
+    global_output.setName(name + "_Value")
+    global_output.setReportingFrequency(freq)
+    global_output.setKeyValue("EMS")
+    # Setting exportToBCVTB to true is optional, and will result in the output variable showing up in the Alfalfa api,
+    # this might be useful for confirmation of the input
+    global_output.setExportToBCVTB(true)
+
+    # repeat the previous steps for an "Enable" input
+    # This value will be 1 (instead of 0) anytime a client writes to the input via the Alfalfa api
+    global_enable = OpenStudio::Model::EnergyManagementSystemGlobalVariable.new(model, name + "_Enable")
+    global_enable.setExportToBCVTB(true)
+
+    global_enable_ems_output = OpenStudio::Model::EnergyManagementSystemOutputVariable.new(model, global_enable)
+    global_enable_ems_output.setName(name + "_Enable_EMS_Value")
+    global_enable_ems_output.setUpdateFrequency("SystemTimestep")
+
+    global_enable_output = OpenStudio::Model::OutputVariable.new(global_enable_ems_output.nameString(), model)
+    global_enable_output.setName(name + "_Enable_Value")
+    global_enable_output.setReportingFrequency(freq)
+    global_enable_output.setKeyValue("EMS")
+    global_enable_output.setExportToBCVTB(true)
+  end
+
+  def create_output(model, var, key, name, freq)
+    new_var = OpenStudio::Model::OutputVariable.new(var, model)
+    new_var.setName(name)
+    new_var.setReportingFrequency(freq)
+    new_var.setKeyValue(key)
+    new_var.setExportToBCVTB(true)
+  end
+
+  # define what happens when the measure is run
+  def run(model, runner, user_arguments)
+    super(model, runner, user_arguments)
+
+    # Alfalfa inputs
+    # These can be set through the Alfalfa API, they will be available as OutputVariables
+    # in the simulation. Use them as you will
+    # Also see comments on the create_input method
+    create_input(model, "HVACFanOnOff", "Timestep")
+    create_input(model, "HVACCompressorOnOff", "Timestep")
+    create_input(model, "CaseOnOff", "Timestep")
+    create_input(model, "CaseDoorStatus", "Timestep")
+    create_input(model, "CaseDefrostStatus", "Timestep")
+    create_input(model, "CaseAntiSweatStatus", "Timestep")
+    create_input(model, "CaseLightStatus", "Timestep")
+    create_input(model, "ZoneLightStatus", "Timestep")
+    create_input(model, "ZoneOccStatus", "Timestep")
+    create_input(model, "Test_Point_1", "Timestep")
+
+    # Alfalfa outputs
+    create_output(model, "PythonPlugin:OutputVariable", "mt1_t_case", "MT1 Case Temp", "Timestep")
+    create_output(model, "PythonPlugin:OutputVariable", "mt2_t_case", "MT2 Case Temp", "Timestep")
+    create_output(model, "PythonPlugin:OutputVariable", "lt1_t_case", "LT1 Case Temp", "Timestep")
+    create_output(model, "PythonPlugin:OutputVariable", "lt2_t_case", "LT2 Case Temp", "Timestep")
+    create_output(model, "PythonPlugin:OutputVariable", "mt1_t_food", "MT1 Prod Temp", "Timestep")
+    create_output(model, "PythonPlugin:OutputVariable", "mt2_t_food", "MT2 Prod Temp", "Timestep")
+    create_output(model, "PythonPlugin:OutputVariable", "lt1_t_food", "LT1 Prod Temp", "Timestep")
+    create_output(model, "PythonPlugin:OutputVariable", "lt2_t_food", "LT2 Prod Temp", "Timestep")
+    create_output(model, "Zone Air Temperature", "Zn1", "Zone Temp", "Timestep")
+    create_output(model, "Zone Air Relative Humidity", "Zn1", "Zone RH", "Timestep")
+    create_output(model, "Refrigeration Case Evaporator Fan Electricity Rate", "MT1", "Case Fan Power", "Timestep")
+    create_output(model, "Refrigeration Case Evaporator Fan Electricity Rate", "MT2", "Case Fan Power", "Timestep")
+    create_output(model, "Refrigeration Case Evaporator Fan Electricity Rate", "LT1", "Case Fan Power", "Timestep")
+    create_output(model, "Refrigeration Case Evaporator Fan Electricity Rate", "LT2", "Case Fan Power", "Timestep")
+    create_output(model, "Refrigeration Case Lighting Electricity Rate", "MT1", "Case Light Power", "Timestep")
+    create_output(model, "Refrigeration Case Lighting Electricity Rate", "MT2", "Case Light Power", "Timestep")
+    create_output(model, "Refrigeration Case Lighting Electricity Rate", "LT1", "Case Light Power", "Timestep")
+    create_output(model, "Refrigeration Case Lighting Electricity Rate", "LT2", "Case Light Power", "Timestep")
+    create_output(model, "Refrigeration Case Anti Sweat Electricity Rate", "LT2", "Case Anti Sweat Power", "Timestep")
+    create_output(model, "Refrigeration Case Defrost Electricity Rate", "LT1", "Case Defrost Power", "Timestep")
+    create_output(model, "Refrigeration Case Defrost Electricity Rate", "LT2", "Case Defrost Power", "Timestep")
+    create_output(model, "Refrigeration Compressor Electricity Rate", "MT Comp 1", "Case Compressor Power", "Timestep")
+    create_output(model, "Refrigeration Compressor Electricity Rate", "MT Comp 2", "Case Compressor Power", "Timestep")
+    create_output(model, "Refrigeration Compressor Electricity Rate", "LT Comp 1", "Case Compressor Power", "Timestep")
+    create_output(model, "Refrigeration Compressor Electricity Rate", "LT Comp 2", "Case Compressor Power", "Timestep")
+    create_output(model, "Fan Electricity Rate", "RTU Fan", "HVAC Fan Power", "Timestep")
+    create_output(model, "Heating Coil Electricity Rate", "RTU Reheat Coil", "HVAC Heating Power", "Timestep")
+    create_output(model, "Cooling Coil Electricity Rate", "RTU Cool Coil", "HVAC Cooling Power", "Timestep")
+
+    # other OutputVariables might be custom python defined output variables,
+    # you should still be able to request them here, and as long as exportToBCVTB is true they will be available via Alfalfa
+
+    return true
+  end
+end
+
+# register the measure to be used by the application
+AlfalfaVariables.new.registerWithApplication
diff --git a/workflow/base_files/measures/alfalfa_vars/measure.xml b/workflow/base_files/measures/alfalfa_vars/measure.xml
new file mode 100644
index 00000000..21a6a2ad
--- /dev/null
+++ b/workflow/base_files/measures/alfalfa_vars/measure.xml
@@ -0,0 +1,54 @@
+<?xml version="1.0"?>
+<measure>
+  <schema_version>3.0</schema_version>
+  <name>alfalfa_variables</name>
+  <uid>86d51823-68a5-478a-b60b-60891c3c9b5f</uid>
+  <version_id>5c94ef46-d8e9-4ae9-864e-d884aba51509</version_id>
+  <version_modified>20201216T214230Z</version_modified>
+  <xml_checksum>356BE47F</xml_checksum>
+  <class_name>AlfalfaVariables</class_name>
+  <display_name>AlfalfaVariables</display_name>
+  <description>Add custom variables for Alfalfa</description>
+  <modeler_description>Add EMS global variables required by Alfalfa</modeler_description>
+  <arguments />
+  <outputs />
+  <provenances />
+  <tags>
+    <tag>HVAC.HVAC Controls</tag>
+  </tags>
+  <attributes>
+    <attribute>
+      <name>Measure Type</name>
+      <value>ModelMeasure</value>
+      <datatype>string</datatype>
+    </attribute>
+    <attribute>
+      <name>Intended Software Tool</name>
+      <value>Apply Measure Now</value>
+      <datatype>string</datatype>
+    </attribute>
+    <attribute>
+      <name>Intended Software Tool</name>
+      <value>OpenStudio Application</value>
+      <datatype>string</datatype>
+    </attribute>
+    <attribute>
+      <name>Intended Software Tool</name>
+      <value>Parametric Analysis Tool</value>
+      <datatype>string</datatype>
+    </attribute>
+  </attributes>
+  <files>
+    <file>
+      <version>
+        <software_program>OpenStudio</software_program>
+        <identifier>3.1.0</identifier>
+        <min_compatible>3.1.0</min_compatible>
+      </version>
+      <filename>measure.rb</filename>
+      <filetype>rb</filetype>
+      <usage_type>script</usage_type>
+      <checksum>A9E1EEF2</checksum>
+    </file>
+  </files>
+</measure>
diff --git a/workflow/base_files/workflow.osw b/workflow/base_files/workflow.osw
new file mode 100644
index 00000000..d44226c3
--- /dev/null
+++ b/workflow/base_files/workflow.osw
@@ -0,0 +1,20 @@
+{
+  "seed_file": "",
+  "weather_file": "",
+  "measure_paths": [
+    "./measures"
+  ],
+  "run_directory": "./run/",
+  "file_paths": [
+    "./weather/",
+    "./models/"
+  ],
+  "steps": [
+    {
+      "measure_dir_name": "alfalfa_vars",
+      "name": "Alfalfa Variables",
+      "description": "Add custom variables for Alfalfa",
+      "modeler_description": "Add EMS global variables required by Alfalfa"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/workflow/lib/inputs.py b/workflow/lib/inputs.py
new file mode 100644
index 00000000..3fd009c2
--- /dev/null
+++ b/workflow/lib/inputs.py
@@ -0,0 +1,13 @@
+import boto3  # This is not called directly, but must be installed for Pandas to read files from S3
+import pandas as pd
+
+class Inputs:
+    """Class to assign inputs for running buildstock models in Alfalfa."""
+
+    def __init__(self, year, dataset_name, upgrade, id, folder):
+        self.year = year
+        self.dataset_name = dataset_name
+        self.upgrade = upgrade
+        self.id = id
+        # Folder to download models
+        self.folder = folder
diff --git a/workflow/lib/models.py b/workflow/lib/models.py
new file mode 100644
index 00000000..0f2bba9d
--- /dev/null
+++ b/workflow/lib/models.py
@@ -0,0 +1,160 @@
+import boto3  # This is not called directly, but must be installed for Pandas to read files from S3
+import pandas as pd
+import requests
+import shutil
+import gzip
+import os
+import re
+import pyarrow
+import json
+from workflow.lib.inputs import Inputs
+from urllib.parse import urljoin, urlsplit, urlunsplit, urlparse
+from pathlib import Path
+from io import BytesIO
+
+class Models:
+
+    """Class to download models from defined inputs"""
+
+    def download_models(obj):
+
+        folder_path = obj.folder
+        id = obj.id
+
+        os.makedirs(folder_path, exist_ok=True)  # Create folder if it doesn't exist
+
+        current_directory = Path(__file__).resolve().parent
+        base_files = os.path.join(current_directory.parent,'base_files')
+
+        # load mapping
+        mapping = os.path.join(base_files, 'end_use_profiles_mapping.xlsx')
+        mapping_df = pd.read_excel(mapping)
+
+        metadata_url = mapping_df.loc[(mapping_df['year'] == int(obj.year)) & (mapping_df['database_name'] == str(obj.dataset_name)), 'metadata_url'].values[0] if not mapping_df.empty else None
+        # URL to parquet
+        parquet_path = os.path.join(folder_path, 'metadata.parquet')
+
+        # get tmy3 external source table
+        tmy3_external = os.path.join(base_files, 'external_TMY3_sources.csv')
+        tmy3_df = pd.read_csv(tmy3_external)
+
+        # download file
+        response = requests.get(metadata_url, stream= True)
+
+        if response.status_code == 200:
+            with open(parquet_path, 'wb') as f:
+                shutil.copyfileobj(response.raw, f)
+            print(f"Parquet file downloaded successfully to {parquet_path}")
+            parquet_df = pd.read_parquet(parquet_path)
+            #reset index
+            parquet_df_reset = parquet_df.reset_index()
+        else:
+            raise ValueError(f"Failed to download Parquet file. Status code: {response.status_code}")
+
+
+        weather_dictionary = {}
+
+        for i in id:
+
+            # make folder for building ID
+            id = os.path.join(folder_path, i)
+            os.makedirs(id, exist_ok=True)
+
+            # make models folder
+            models = os.path.join(id, 'models')
+            os.makedirs(models, exist_ok=True)  # Create folder using filename if it doesn't exist
+
+            osm_path = os.path.join(models, i + '.osm')
+
+            energy_model_base_url = mapping_df.loc[(mapping_df['year'] == int(obj.year)) & (mapping_df['database_name'] == str(obj.dataset_name)), 'energy_model_base_url'].values[0] if not mapping_df.empty else None
+            energy_model_url = mapping_df.loc[(mapping_df['year'] == int(obj.year)) & (mapping_df['database_name'] == str(obj.dataset_name)), 'energy_model_url'].values[0] if not mapping_df.empty else None
+            #TO DO check if this works for different database
+            energy_model_valid_url = energy_model_base_url + str(i) + energy_model_url.strip('"')
+
+            response = requests.get(energy_model_valid_url, stream= True)
+
+            if response.status_code == 200:
+                with gzip.GzipFile(fileobj=BytesIO(response.content), mode='rb') as gz:
+                    extracted_content = gz.read()
+                    with open(osm_path, 'wb') as extracted_file:
+                        extracted_file.write(extracted_content)
+
+                print(f"File downloaded and extracted to {osm_path}")
+            else:
+                print(f"Failed to download the file: {response.status_code}")
+
+            # Remove 0s at the beginning
+            just_id = int(str(i).lstrip('bldg').lstrip('0'))
+
+            if 'parquet_df_reset' in locals():
+
+                # Case-insensitive pattern for matching columns containing 'tmy3' or 'TMY3'
+                pattern = re.compile('tmy3', flags=re.IGNORECASE)
+
+                # Filter columns using the regex pattern
+                filtered_columns = parquet_df_reset.filter(regex=pattern).columns
+
+                # Check if there are any matching columns
+                if not filtered_columns.empty:
+                    result = parquet_df_reset.loc[parquet_df_reset['bldg_id'] == just_id, filtered_columns[0]].values[0]
+                else:
+                    print(f"No columns found containing 'tmy3' or 'TMY3'")
+
+                # Store the column value at the specified ID as a key-value pair
+                weather_dictionary.update({f"{just_id}_weather": result})
+
+                # download weather file
+                weather_dictionary[f"{just_id}_weather"]
+
+                # get WMO station number
+                wmo = tmy3_df.loc[tmy3_df['station_name'].str.lower() == (weather_dictionary[f"{just_id}_weather"]).lower(), 'WMO'].iloc[0]
+
+                # get weather url
+                weather_url = tmy3_df.loc[tmy3_df['station_name'].str.lower() == (weather_dictionary[f"{just_id}_weather"]).lower(), 'host'].values[0] + tmy3_df.loc[tmy3_df['station_name'].str.lower() == (weather_dictionary[f"{just_id}_weather"]).lower(), 'http_link'].values[0]
+
+                weather_dictionary.update({f"{just_id}_wmo": wmo})
+
+                weather_dictionary.update({f"{just_id}_url": weather_url})
+
+                zip_filename = os.path.basename(weather_url)
+
+                # copy default measures
+                new_measure_path = os.path.join(id, 'measures')
+                measure_path = Path(os.path.join(base_files, 'measures'))
+                shutil.copytree(measure_path, new_measure_path)
+
+                # create weather folder if it doesn't exist
+                weather = os.path.join(id, 'weather')
+                os.makedirs(weather, exist_ok=True)  # Create folder using filename if it doesn't exist
+
+                weather_path = os.path.join(weather, zip_filename)
+
+                # Send a GET request to the URL
+                response = requests.get(weather_url)
+
+                # Check if the request was successful (status code 200)
+                if response.status_code == 200:
+                    # Open a local file and write the content
+                    with open(weather_path, 'wb') as file:
+                        file.write(response.content)
+
+                    print(f"File {zip_filename} downloaded successfully.")
+                else:
+                    # Print an error message if the request was not successful
+                    print(f"Error: Unable to download the file. Status code: {response.status_code}")
+
+
+                # copy osw file
+                osw_path = Path(os.path.join(base_files, 'workflow.osw'))
+                new_osw_path = os.path.join(id, 'workflow.osw')
+                shutil.copy(osw_path, new_osw_path)
+
+                with open(new_osw_path, 'r') as osw:
+                    data = json.load(osw)
+                    data['seed_file'] =  f"./models/{i}.osm"
+                    data['weather_file'] = f"{zip_filename}"
+
+
+                with open(new_osw_path, 'w') as osw:
+                    json.dump(data, osw, indent=2)
+