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ZENODO
Dataset . 2021
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Data sources: Datacite
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ZENODO
Dataset . 2021
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Model America - Chicago Archetype extract from ORNL's AutoBEM

Authors: Bass, Brett; New, Joshua; Berres, Andy;

Model America - Chicago Archetype extract from ORNL's AutoBEM

Abstract

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): Data (12KB *.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) (IECC = Residential) 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 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.

Related Organizations
Keywords

Buildings, Urban, Modeling, Energy

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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