Model America - WRF Grid Cell Archetype 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). <strong>Critical note: Building multipliers and models will be updated soon.</strong> Two sets of data are provided for 298,084 building <strong>archetypes</strong> located within the boundary of WRF (Weather Research and Forecasting) model in and around Los Angeles (United States): <strong>Data (46.4MB *.csv) - minimalist list of each building (rows) for the following fields (columns)</strong> ID - unique building ID Area - estimate of total conditioned floor area (ft²) CZ - ASHRAE Climate Zone designation Height - building height (ft) NumFloors - number of floors (above-grade) BuildingType - DOE prototype building designation (IECC=residential) as implemented by OpenStudio-standards Standard - building vintage WWR_surfaces - percent of each facade (pair of points from Footprint2D) covered by fenestration/windows (average 14.5% for residential, 40% for commercial buildings) Area2D - footprint area (ft²) Num_build_per_zone - Number of this building type/vintage in WRF zone Total_zone_area - Total area of this building type/vintage in WRF zone (ft²) Area_multiplier - Scaling factor for building type/vintage for building in WRF zone Vintage - Generalized "Standard" BuildingType_general - Generalized "BuildingType" Zone_ID - ID of WRF zone <strong>Models (6.3GB *.zip) - EnergyPlus building energy models named according to ID</strong> 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 for everything that can be retrieved or simulated from these models.橡树岭国家实验室（Oak Ridge National Laboratory，ORNL）开发了自动建筑能耗建模（Automatic Building Energy Modeling，AutoBEM）软件套件，可处理多源数据、提取建筑专属描述符、生成建筑能耗模型，并依托高性能计算（High Performance Computing，HPC）资源开展模拟计算。如需获取更多信息，请参阅AutoBEM相关出版物（bit.ly/AutoBEM）。 <strong>重要提示：建筑乘数与模型即将更新。</strong> 本次为位于美国洛杉矶及周边WRF（Weather Research and Forecasting，天气研究与预报）模型边界内的298084个建筑原型提供两组数据： <strong>数据文件（46.4MB *.csv）</strong>：为各建筑（行）的极简列表，包含以下字段（列）： ID：唯一建筑标识符 Area：总空调建筑面积估算值（平方英尺，ft²） CZ：美国采暖、制冷与空调工程师学会（ASHRAE）气候区标识 Height：建筑高度（英尺，ft） NumFloors：地上楼层数 BuildingType：由OpenStudio-standards实现的美国能源部（DOE）原型建筑标识（国际能源规约IECC对应住宅类建筑） Standard：建筑年代标准 WWR_surfaces：各立面（由Footprint2D生成的点对组成）的窗墙比，即门窗/玻璃采光构件覆盖占比（住宅类平均14.5%，商业类平均40%） Area2D：建筑占地面积（平方英尺，ft²） Num_build_per_zone：该建筑类型/年代在WRF分区内的建筑总量 Total_zone_area：该建筑类型/年代在WRF分区内的总建筑面积（平方英尺，ft²） Area_multiplier：该WRF分区内对应建筑类型/年代的缩放因子 Vintage：广义建筑年代 BuildingType_general：广义建筑类型 Zone_ID：WRF分区标识符 <strong>模型文件（6.3GB *.zip）</strong>：为以ID命名的EnergyPlus建筑能耗模型，单模型包含约3000条建筑输入描述符。如需了解可从这些模型中提取或模拟的全部内容，请参阅EnergyPlus（v9.4）版2784页《输入输出参考指南》。