U.S. Department of EnergyOffice of Scientific and Technical Information
Model America - 2022 Arizona Building Energy Simulation Results from ORNL's AutoBEM
Abstract
This dataset contains energy simulation outputs using ORNL's AutoBEM, covering the summer months (June 1st to August 31st) (named by "county_name.csv") and full-year periods (in output_all_year.zip) for each county in Arizona, USA. The data package includes simulation results such as basic energy metrics and anthropogenic emissions estimates. Files are provided in .csv. These data were generated to analyze the impact of weather conditions on energy use and emissions across urban and rural environments in Arizona, aiming to support research on urban heat islands, energy efficiency, and building retrofitting strategies. The source data for this work include NASA POWER weather datasets and computational models run using AutoBEM (i.e., an automated, large-scale energy simulation tool leveraging OpenStudio/EnergyPlus). This dataset can assist researchers, urban planners, and policymakers in developing climate-resilient energy systems and understanding anthropogenic contributions to local environments.
- Authors:
-
;
;
;
;
- Oak Ridge National Laboratory; Oak Ridge National Laboratory
- Illinois Institute of Technology
- University of Tennessee
- Oak Ridge National Laboratory
- Publication Date:
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Anthropogenic Emissions; AutoBEM; Building Energy Modeling; NASA Power
- OSTI Identifier:
- 2513865
- DOI:
- https://doi.org/10.15485/2513865
Citation Formats
Li, Hang, Stubbings, Avery, Chowdhury, Shovan, Li, Frank, and New, Joshua. Model America - 2022 Arizona Building Energy Simulation Results from ORNL's AutoBEM. United States: N. p., 2024.
Web. doi:10.15485/2513865.
Li, Hang, Stubbings, Avery, Chowdhury, Shovan, Li, Frank, & New, Joshua. Model America - 2022 Arizona Building Energy Simulation Results from ORNL's AutoBEM. United States. doi:https://doi.org/10.15485/2513865
Li, Hang, Stubbings, Avery, Chowdhury, Shovan, Li, Frank, and New, Joshua. 2024.
"Model America - 2022 Arizona Building Energy Simulation Results from ORNL's AutoBEM". United States. doi:https://doi.org/10.15485/2513865. https://www.osti.gov/servlets/purl/2513865. Pub date:Tue Dec 31 23:00:00 EST 2024
@article{osti_2513865,
title = {Model America - 2022 Arizona Building Energy Simulation Results from ORNL's AutoBEM},
author = {Li, Hang and Stubbings, Avery and Chowdhury, Shovan and Li, Frank and New, Joshua},
abstractNote = {This dataset contains energy simulation outputs using ORNL's AutoBEM, covering the summer months (June 1st to August 31st) (named by "county_name.csv") and full-year periods (in output_all_year.zip) for each county in Arizona, USA. The data package includes simulation results such as basic energy metrics and anthropogenic emissions estimates. Files are provided in .csv. These data were generated to analyze the impact of weather conditions on energy use and emissions across urban and rural environments in Arizona, aiming to support research on urban heat islands, energy efficiency, and building retrofitting strategies. The source data for this work include NASA POWER weather datasets and computational models run using AutoBEM (i.e., an automated, large-scale energy simulation tool leveraging OpenStudio/EnergyPlus). This dataset can assist researchers, urban planners, and policymakers in developing climate-resilient energy systems and understanding anthropogenic contributions to local environments.},
doi = {10.15485/2513865},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 23:00:00 EST 2024},
month = {Tue Dec 31 23:00:00 EST 2024}
}