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: 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).橡树岭国家实验室（Oak Ridge National Laboratory，ORNL）开发了自动建筑能源建模（AutoBEM）软件套件，该套件可处理多类数据、提取建筑专属描述符、生成建筑能源模型，并在高性能计算（High Performance Computing，HPC）资源上开展模拟。如需更多信息，请参阅AutoBEM相关出版物（bit.ly/AutoBEM）。 本次提供了两组针对美国亚利桑那州辖区内2,555,152栋建筑的样本数据： ### 数据文件（884.3MB *.csv） 该文件以极简列表形式呈现每栋建筑（行）的如下字段（列）： - ID：唯一建筑标识符 - Centroid：建筑中心点经纬度坐标（源自Footprint2D） - Footprint2D：二维建筑 footprint 多边形（格式为lat1/lon1_lat2/lon2_…） - State_abbr：州名缩写 - Area：总空调建筑面积（ft²）估算值 - Area2D：二维 footprint 占地面积（ft²） - Height：建筑高度（ft） - NumFloors：地上楼层数 - WWR_surfaces：各立面（由Footprint2D的点对构成）的门窗玻璃占比（住宅建筑平均14.5%，商业建筑平均40%） - CZ：美国采暖、制冷与空调工程师学会（ASHRAE）气候分区标识 - BuildingType：美国能源部（DOE）原型建筑标识（IECC标准对应住宅建筑），由OpenStudio-standards实现 - Standard：建筑年代标准 ### 样本模型（21.74GB *.zip，按县分组） 包含以建筑ID命名的OpenStudio与EnergyPlus建筑能源模型。 ### 数据集引用 ESS-Dive修订数据集：New J、Stubbings A、Li F、Bass B、Adams M、Berres A（2023）：《Model America——亚利桑那州提取版》，源自橡树岭国家实验室（ORNL）的AutoBEM v1.1。西南城市走廊综合现场实验室（Southwest Urban Corridor Integrated Field Laboratory，SW-IFL），ESS-DIVE知识库。数据集。DOI:10.15485/2212792，访问链接：https://data.ess-dive.lbl.gov/datasets/doi:10.15485/2212792 本数据免费公开，旨在推动各类基于模拟的应用场景开发。数据按"现状"提供，不附带任何明示或暗示的、针对特定用途的适用性担保。我们谨向提供资助的机构致谢，其中包括橡树岭国家实验室（ORNL）、美国能源部（U.S. Dept. of Energy，DOE）建筑技术办公室（Building Technologies Office，BTO）、电力办公室（Office of Electricity，OE）以及生物与环境研究办公室（Biological and Environmental Research，BER）。