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Model America - Arizona extract from ORNL's AutoBEM
Oak Ridge National Laboratory (ORNL) has developed the Automatic Building Energy Modeling (AutoBEM) software suite to process multiple types of data, extract building-specific descriptors, generate building energy models, and simulate them on High Performance Computing (HPC) resources. For more information, see AutoBEM-related publications (bit.ly/AutoBEM). Two sets of data are provided for 550,656 buildings located within the boundary of Arizona in the United States: Data (154.7MB *.csv) - minimalist list of each building (rows) for the following fields (columns) ID - unique building ID Centroid - building center location in latitude/longitude (from Footprint2D) Footprint2D - building polygon of 2D footprint (lat1/lon1_lat2/lon2_.) State_abbr - state name Area - estimate of total conditioned floor area (ft2) Area2D - footprint area (ft2) Height - building height (ft) NumFloors - number of floors (above-grade) WWR_surfaces - percent of each facade (pair of points from Footprint2D) covered by fenestration/windows (average 14.5% for residential, 40% for commercial buildings) CZ - ASHRAE Climate Zone designation BuildingType - DOE prototype building designation (IECC=residential) as implemented by OpenStudio-standards Standard - building vintage Models (21.74GB*.zip by county) – OpenStudio and EnergyPlus building energy models named according to ID This data is made free and openly available in hopes of stimulating any simulation-informed use case. Data is provided as-is with no warranties, express or implied, regarding fitness for a particular purpose. We wish to thank our sponsors which include Oak Ridge National Laboratory (ORNL), U.S. Dept. of Energy’s (DOE) Building Technologies Office (BTO), Office of Electricity (OE), and Biological and Environmental Research (BER).
Model America - Arizona extract from ORNL's AutoBEM
Oak Ridge National Laboratory (ORNL) has developed the Automatic Building Energy Modeling (AutoBEM) software suite to process multiple types of data, extract building-specific descriptors, generate building energy models, and simulate them on High Performance Computing (HPC) resources. For more information, see AutoBEM-related publications (bit.ly/AutoBEM). Two sets of data are provided for 550,656 buildings located within the boundary of Arizona in the United States: Data (154.7MB *.csv) - minimalist list of each building (rows) for the following fields (columns) ID - unique building ID Centroid - building center location in latitude/longitude (from Footprint2D) Footprint2D - building polygon of 2D footprint (lat1/lon1_lat2/lon2_.) State_abbr - state name Area - estimate of total conditioned floor area (ft2) Area2D - footprint area (ft2) Height - building height (ft) NumFloors - number of floors (above-grade) WWR_surfaces - percent of each facade (pair of points from Footprint2D) covered by fenestration/windows (average 14.5% for residential, 40% for commercial buildings) CZ - ASHRAE Climate Zone designation BuildingType - DOE prototype building designation (IECC=residential) as implemented by OpenStudio-standards Standard - building vintage Models (21.74GB*.zip by county) – OpenStudio and EnergyPlus building energy models named according to ID This data is made free and openly available in hopes of stimulating any simulation-informed use case. Data is provided as-is with no warranties, express or implied, regarding fitness for a particular purpose. We wish to thank our sponsors which include Oak Ridge National Laboratory (ORNL), U.S. Dept. of Energy’s (DOE) Building Technologies Office (BTO), Office of Electricity (OE), and Biological and Environmental Research (BER).
Model America - Arizona extract from ORNL's AutoBEM
Joshua New (author) / Brett Bass (author) / Mark Adams (author) / Andy Berres (author) / Fengqi Li (author)
2023-02-15
Research Data
Electronic Resource
English
Arizona State University, Arizona
British Library Online Contents | 2006
|LETTER FROM AMERICA: THE VERNACULAR ARCHITECTURE FORUM 2005 MEETING. ARIZONA AND NORTH MEXICO
British Library Online Contents | 2006
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