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The Chinese thermal comfort dataset.
Liu Yang1,2, Shengkai Zhao1,2, Yongchao Zhai3,4
1State Key Laboratory of Green Building in China, Xi'an University of Architecture and Technology, Yanta Road, 710055, Xi'an, Shaanxi, China.
Scientific Data
|September 28, 2023
Summary
Understanding building occupant thermal needs is key to energy savings. This study presents a large Chinese thermal comfort dataset to inform energy codes and improve thermal comfort in buildings.
Area of Science:
- Building Science
- Environmental Psychology
- Energy Policy
Background:
- Building heating and cooling significantly contribute to China's energy consumption (over 20%).
- Developing effective building energy codes requires understanding occupant thermal comfort needs.
- Existing thermal comfort data may not fully represent diverse Chinese climate zones and populations.
Purpose of the Study:
- To introduce and describe the comprehensive Chinese thermal comfort dataset.
- To highlight the dataset's role in developing building energy standards and codes in China.
- To suggest broader applications for the dataset in research and international collaboration.
Main Methods:
- Data collection from 49 cities across five climate zones in China over two decades.
- Inclusion of 41,977 data sets containing environmental, subjective, building, and personal information.
- Rigorous quality control and systematic organization of the collected raw data.
Main Results:
- Establishment of a large-scale, reliable Chinese thermal comfort dataset.
- The dataset integrates environmental parameters, occupant feedback, and building details.
- Data covers diverse climatic conditions and urban settings within China.
Conclusions:
- The Chinese thermal comfort dataset is crucial for developing national indoor thermal environment standards and energy codes.
- The dataset facilitates research on thermal comfort, adaptive behaviors, and regional differences.
- It offers valuable contributions to international thermal comfort research and modeling efforts.
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