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Model America - 2022 Arizona Building Energy Simulation Results from ORNL's AutoBEM

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DataCite Commons2025-02-15 更新2025-04-09 收录
下载链接:
https://www.osti.gov/servlets/purl/2513865/
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资源简介:
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.

本数据集包含由橡树岭国家实验室(Oak Ridge National Laboratory,ORNL)开发的AutoBEM生成的能源模拟结果,覆盖美国亚利桑那州各县级行政区的夏季时段(6月1日至8月31日,文件命名格式为"县名.csv")与全年时段(存储于output_all_year.zip压缩包内)。本数据包内含基础能源指标、人为排放估算值等各类模拟结果,所有文件均采用.csv格式存储。本数据集的生成旨在分析亚利桑那州城乡环境中气象条件对能源消耗与排放的影响,以期支撑城市热岛效应、能源效率及建筑改造策略相关研究。本研究的源数据包含NASA POWER气象数据集,以及依托AutoBEM运行的计算模型——AutoBEM是一款基于OpenStudio/EnergyPlus开发的自动化大规模能源模拟工具。本数据集可辅助研究人员、城市规划者与政策制定者开发气候韧性能源系统,并厘清人为活动对当地环境的贡献。
提供机构:
Environmental System Science Data Infrastructure for a Virtual Ecosystem
创建时间:
2025-02-15
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