一个用于理解影响住宅能源决策的自我报告模式的数据集
Tracy L Fuentes1, Kieren H McCord2, Max J Martell1
1Pacific Northwest National Laboratory, Richland, WA, USA.
Scientific data
|July 22, 2025
概括
了解指导住宅采用和关于能源效率的决策的模式 (UPGRADE-E) 提供了有关家庭能源选择的大量数据集. 这些数据有助于研究人员和政策制定者了解影响家庭采用技术的因素.
科学领域:
- 社会科学 社会科学 社会科学
- 能源政策 能源政策
- 建筑科学 建筑科学
背景情况:
- 家庭居民的行为显著影响住宅的能源性能和技术采用.
- 缺乏关于家庭能源决策的代表性公共数据阻碍了研究.
- 该UPGRADE-E数据集通过提供关于美国家庭的全面数据来弥补这一差距.
研究的目的:
- 介绍和描述UPGRADE-E数据集,这是研究家庭能源决策的新型资源.
- 提供一个大规模的,代表性的数据集,将人口统计,建筑特征和与能源效率相关的行为因素联系起来.
- 促进对住宅建筑的技术采用和能源性能研究.
主要方法:
- 一项全国范围的互联网调查对9919名美国单户家庭和小型多户家庭居民进行了调查.
- 该数据集包括391个变量,涵盖人口统计,建筑特征,房屋改造,技术采用意愿,动机,障碍,项目参与,信息来源和能源场景.
- 数据验证使用内部一致性检查和与现有的美国国家数据集进行比较.
主要成果:
- 该UPGRADE-E数据集提供了前所未有的规模和广泛的关于家庭能源相关决策的信息.
- 它整合了人口统计数据,家庭修改和自我报告的认知驱动因素,影响能源选择.
- 该数据集为分析技术采用和能源效率行为模式提供了丰富的资源.
结论:
- UPGRADE-E数据集是政策制定者和研究人员调查美国家庭能源技术采用的宝贵资源.
- 它使人们能够更深入地了解居住者行为,决策和住宅能源性能之间的复杂相互作用.
- 利用这些数据可以为改善住宅部门能源效率的有针对性的政策和干预提供信息.
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