Model America - Arizona extract from ORNL's AutoBEM
收藏Mendeley Data2024-05-10 更新2024-06-28 收录
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https://zenodo.org/records/8360283
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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 (884.3MB *.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 (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).
创建时间:
2023-09-25



