Model America - data and models of every U.S. building
- New, Joshua | Oak Ridge National Laboratory
- Adams, Mark | Oak Ridge National Laboratory
- Berres, Anne | Oak Ridge National Laboratory
- Bass, Brett | Oak Ridge National Laboratory
- Clinton, Nicholas | Oak Ridge National Laboratory
Overview
Description
The 5-year goal of the 'Model America' concept was to generate a model of every building in the United States. This data repository delivers on that goal. 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). There were 125,714,640 buildings detected in the United States and this dataset contains 122,930,327 (97.8%) buildings which resulted in a successful simulation. Future, annual updates have been proposed that may include additional buildings, data improvements, or other algorithmic enhancements. This dataset of 122.9 million buildings includes: Models (state_county.zip) - OpenStudio (v3.1.0) and EnergyPlus (v9.4) building energy models. Please note that the download requires the free Globus Connect Personal (https://www.globus.org/globus-connect-personal); Each model has approximately 3,000 building input descriptors that can be extracted. Please see the EnergyPlus(v9.4) 2,784-page Input/Output Reference Guide (https://energyplus.net/sites/all/modules/custom/nrel_custom/pdfs/pdfs_v9.4.0/InputOutputReference.pdf) for everything that can be retrieved or simulated from these models. These models were derived from the following metadata, which is not included in this dataset: 1. ID - unique building ID 2. County - county name 3. State - state name 4. CZ - ASHRAE Climate Zone designation 5. Clim_Zone - text label of climate zone 6. est_year - estimated year of construction 7. est_commercial - estimated building type (0=residential, 1=commercial) 8. Centroid - building center location in latitude/longitude (from Footprint2D) 9. Footprint2D - building polygon of 2D footprint (lat1/lon1_lat2/lon2_...) 10. Height - building height (meters) 11. Area2D - footprint area (ft2) 12. BuildingType - DOE prototype building designation (IECC=residential) as implemented by OpenStudio-standards 13. WWR_surfaces - percent of each facade (pair of points from Footprint2D) covered by fenestration/windows (average 14.5% for residential, 40% for commercial buildings) 14. NumFloors - number of floors (above-grade) 15. Area - estimate of total conditioned floor area (ft2) 16. Standard - building vintage. These models are 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) Laboratory Directed Research and Development (LDRD), U.S. Dept. of Energy's (DOE) Building Technologies Office (BTO), Office of Electricity (OE), Biological and Environmental Research (BER), and National Nuclear Security Administration (NNSA). This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357. Please cite as: New, Joshua R., Adams, Mark, Bass, Brett, Berres, Anne, and Clinton, Nicholas (2021). 'Model America - data and models of every U.S. building. [Data set].' Constellation, doi.ccs.ornl.gov/ui/doi/339, April 14, 2021
Funding resources
DOE contract number
This work was funded by field work proposal CEBT105 under US Department of Energy Building Technology Office Activity Number BT0305000, as well as Office of Electricity Activity Number TE1103000.Originating research organization
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States);Argonne National Laboratory (ANL) Leadership Computing Facility (ALCF)Sponsoring organization
Office of Energy Efficiency and Renewable Energy (EERE);Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (EE-5B);National Nuclear Security Administration (NNSA);National Nuclear Security Administration (NNSA), Office of Nonproliferation and Verification Research and Development (NA-22);Office of Electricity Delivery and Energy Reliability (OE);Office of Science (SC)Details
DOI
10.13139/ORNLNCCS/1774134Release date
April 14, 2021Dataset
Dataset type
SM Specialized MixSoftware
OpenStudio or EnergyPlusAcknowledgements
Papers using this dataset are requested to include the following text in their acknowledgements:
*Support for 10.13139/ORNLNCCS/1774134 is provided by the U.S. Department of Energy, project Automatic Building Energy Modeling (AutoBEM) under Contract This work was funded by field work proposal CEBT105 under US Department of Energy Building Technology Office Activity Number BT0305000, as well as Office of Electricity Activity Number TE1103000.. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility.
Category
- 24 POWER TRANSMISSION AND DISTRIBUTION,
- 25 ENERGY STORAGE,
- 29 ENERGY PLANNING, POLICY, AND ECONOMY,
- 30 DIRECT ENERGY CONVERSION,
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION,
- 42 ENGINEERING,
- 45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE,
- 54 ENVIRONMENTAL SCIENCES
Keywords
- building energy modeling,
- EnergyPlus,
- OpenStudio,
- urban-scale building energy modeling,
- nation-scale building energy modeling