State Key Laboratory of Green Building in China, Xi'an University of Architecture and Technology, Yanta Road, 710055, Xi'an, Shaanxi, China.
School of Architecture, Xi'an University of Architecture and Technology, Yanta Road, 710055, Xi'an, Shaanxi, China.
Sci Data. 2023 Sep 28;10(1):662. doi: 10.1038/s41597-023-02568-3.
Heating and cooling in buildings accounts for over 20% of total energy consumption in China. Therefore, it is essential to understand the thermal requirements of building occupants when establishing building energy codes that would save energy while maintaining occupants' thermal comfort. This paper introduces the Chinese thermal comfort dataset, established by seven participating institutions under the leadership of Xi'an University of Architecture and Technology. The dataset comprises 41,977 sets of data collected from 49 cities across five climate zones in China over the past two decades. The raw data underwent careful quality control procedure, including systematic organization, to ensure its reliability. Each dataset contains environmental parameters, occupants' subjective responses, building information, and personal information. The dataset has been instrumental in the development of indoor thermal environment evaluation standards and energy codes in China. It can also have broader applications, such as contributing to the international thermal comfort dataset, modeling thermal comfort and adaptive behaviors, investigating regional differences in indoor thermal conditions, and examining occupants' thermal comfort responses.
在中国，建筑物的供冷和供暖占总能耗的 20%以上。因此，在制定建筑能源规范时，了解建筑物使用者的热需求至关重要，这样既能节约能源，又能维持使用者的热舒适度。本文介绍了由西安建筑科技大学领导的七个参与机构建立的中国热舒适数据集。该数据集包含了过去 20 年来在中国五个气候区的 49 个城市收集的 41977 组数据。原始数据经过了仔细的质量控制程序，包括系统的组织，以确保其可靠性。每个数据集都包含环境参数、使用者的主观反应、建筑物信息和个人信息。该数据集在中国室内热环境评价标准和能源规范的制定中发挥了重要作用。它还可以有更广泛的应用，例如为国际热舒适数据集做出贡献、模拟热舒适和适应性行为、研究室内热条件的区域差异以及研究使用者的热舒适反应。
