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 sample data are provided for 2,555,152 buildings located within the boundary of Arizona in the United States:

1. Data (884.3MB *.csv) - minimalist list of each building (rows) for the following fields (columns)
   1. ID - unique building ID
   2. Centroid - building center location in latitude/longitude (from Footprint2D)
   3. Footprint2D - building polygon of 2D footprint (lat1/lon1_lat2/lon2_...)
   4. State_abbr - state name
   5. Area - estimate of total conditioned floor area (ft²)
   6. Area2D - footprint area (ft²)
   7. Height - building height (ft)
   8. NumFloors - number of floors (above-grade)
   9. WWR_surfaces - percent of each facade (pair of points from Footprint2D) covered by fenestration/windows (average 14.5% for residential, 40% for commercial buildings)
   10. CZ - ASHRAE Climate Zone designation
   11. BuildingType - DOE prototype building designation (IECC=residential) as implemented by OpenStudio-standards
   12. Standard - building vintage
2. Sample Models (21.74GB*.zip by county) – OpenStudio and EnergyPlus building energy models named according to ID

ESS-Dive Revised dataset: New J ; Stubbings A ; Li F ; Bass B ; Adams M ; Berres A (2023): Model America - Arizona extract from ORNL's AutoBEM v1.1. Southwest Urban Corridor Integrated Field Laboratory (SW-IFL), ESS-DIVE repository. Dataset. doi:10.15485/2212792 accessed via https://data.ess-dive.lbl.gov/datasets/doi:10.15485/2212792 

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).