Published December 22, 2021 | Version 1.1
Dataset Open

Model America - Chicago Archetype extract from ORNL's AutoBEM

  • 1. Oak Ridge National Laboratory

Description

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.

Archetype metadata, models, and multipliers are provided for 93 building archetypes located within the city of Chicago (United States):

 

  1. Data (12KB *.csv) - minimalist list of each building (rows) for the following fields (columns)
    1. ID - unique building ID
    2. Area - estimate of total conditioned floor area (ft2)
    3. CZ - ASHRAE Climate Zone designation
    4. Height - building height (ft)
    5. NumFloors - number of floors (above-grade) (IECC = Residential)
    6. BuildingType - DOE prototype building designation (IECC=residential) as implemented by OpenStudio-standards
    7. Standard - building vintage
    8. WWR_surfaces - percent of each facade (pair of points from Footprint2D) covered by fenestration/windows (average 14.5% for residential, 40% for commercial buildings)
    9. Area2D - footprint area (ft2)
    10. Num_build_per_zone - Number of this building type/vintage in WRF zone
    11. Total_zone_area - Total area of this building type/vintage in WRF zone (ft2)
    12. Area_multiplier - Scaling factor for building type/vintage for building in WRF zone
  2. Models (7.69MB *.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.

Files

Chicago_Archetypes_All.csv

Files (8.1 MB)

Name Size Download all
md5:21f308a4097ea2769d847e17a7e40709
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md5:de89c62887f9f3ff369e7097add7fc6b
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