The Chinese thermal comfort dataset

Author:

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

Abstract

AbstractHeating 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.

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Reference59 articles.

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