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). Critical note: Building multipliers and models will be updated soon. Two sets of data are provided for 298,084 building archetypes located within the boundary of WRF (Weather Research and Forecasting) model in and around Los Angeles (United States): Data (46.4MB *.csv) - minimalist list of each building (rows) for the following fields (columns) 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 Models (6.3GB *.zip) - EnergyPlus building energy models named according to ID 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.