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Title: Model America - Arizona extract from ORNL's AutoBEM v1.1

Abstract

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:Data (846.3MB *.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 • Sample Models (114GB*.zip by county) - OpenStudio and EnergyPlus building energy models named according to IDThismore » 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).« less

Authors:
ORCiD logo ; ORCiD logo ; ORCiD logo ; ; ;
  1. Oak Ridge National Laboratory; Oak Ridge National Laboratory
  2. Illinois Institute of Technology
  3. Oak Ridge National Laboratory
  4. B13 Engineering
  5. National Renewable Energy Laboratory
Publication Date:
Other Number(s):
https://doi.org/10.5281/zenodo.8360283
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem; Southwest Urban Corridor Integrated Field Laboratory (SW-IFL)
Sponsoring Org.:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES; AutoBEM; Model America; ORNL; building energy models; integrated multisector multiscale modeling; urban-scale energy modeling
OSTI Identifier:
2212792
DOI:
https://doi.org/10.15485/2212792

Citation Formats

New, Joshua, Stubbings, Avery, Li, Fengqi, Bass, Brett, Adams, Mark, and Berres, Andy. Model America - Arizona extract from ORNL's AutoBEM v1.1. United States: N. p., 2023. Web. doi:10.15485/2212792.
New, Joshua, Stubbings, Avery, Li, Fengqi, Bass, Brett, Adams, Mark, & Berres, Andy. Model America - Arizona extract from ORNL's AutoBEM v1.1. United States. doi:https://doi.org/10.15485/2212792
New, Joshua, Stubbings, Avery, Li, Fengqi, Bass, Brett, Adams, Mark, and Berres, Andy. 2023. "Model America - Arizona extract from ORNL's AutoBEM v1.1". United States. doi:https://doi.org/10.15485/2212792. https://www.osti.gov/servlets/purl/2212792. Pub date:Mon Sep 11 00:00:00 EDT 2023
@article{osti_2212792,
title = {Model America - Arizona extract from ORNL's AutoBEM v1.1},
author = {New, Joshua and Stubbings, Avery and Li, Fengqi and Bass, Brett and Adams, Mark and Berres, Andy},
abstractNote = {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:Data (846.3MB *.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 • Sample Models (114GB*.zip by county) - OpenStudio and EnergyPlus building energy models named according to IDThis 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).},
doi = {10.15485/2212792},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Sep 11 00:00:00 EDT 2023},
month = {Mon Sep 11 00:00:00 EDT 2023}
}