Scientific Data (Sep 2023)

The Chinese thermal comfort dataset

  • Liu Yang,
  • Shengkai Zhao,
  • Yongchao Zhai,
  • Siru Gao,
  • Feixiang Wang,
  • Zhiwei Lian,
  • Lin Duanmu,
  • Yufeng Zhang,
  • Xiang Zhou,
  • Bin Cao,
  • Zhaojun Wang,
  • Haiyan Yan,
  • Hui Zhang,
  • Edward Arens,
  • Richard de Dear

DOI
https://doi.org/10.1038/s41597-023-02568-3
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 13

Abstract

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Abstract 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.