Cargando…

The Chinese thermal comfort dataset

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Liu, Zhao, Shengkai, Zhai, Yongchao, Gao, Siru, Wang, Feixiang, Lian, Zhiwei, Duanmu, Lin, Zhang, Yufeng, Zhou, Xiang, Cao, Bin, Wang, Zhaojun, Yan, Haiyan, Zhang, Hui, Arens, Edward, de Dear, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539401/
https://www.ncbi.nlm.nih.gov/pubmed/37770487
http://dx.doi.org/10.1038/s41597-023-02568-3
_version_ 1785113493117075456
author Yang, Liu
Zhao, Shengkai
Zhai, Yongchao
Gao, Siru
Wang, Feixiang
Lian, Zhiwei
Duanmu, Lin
Zhang, Yufeng
Zhou, Xiang
Cao, Bin
Wang, Zhaojun
Yan, Haiyan
Zhang, Hui
Arens, Edward
de Dear, Richard
author_facet Yang, Liu
Zhao, Shengkai
Zhai, Yongchao
Gao, Siru
Wang, Feixiang
Lian, Zhiwei
Duanmu, Lin
Zhang, Yufeng
Zhou, Xiang
Cao, Bin
Wang, Zhaojun
Yan, Haiyan
Zhang, Hui
Arens, Edward
de Dear, Richard
author_sort Yang, Liu
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10539401
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-105394012023-09-30 The Chinese thermal comfort dataset Yang, Liu Zhao, Shengkai Zhai, Yongchao Gao, Siru Wang, Feixiang Lian, Zhiwei Duanmu, Lin Zhang, Yufeng Zhou, Xiang Cao, Bin Wang, Zhaojun Yan, Haiyan Zhang, Hui Arens, Edward de Dear, Richard Sci Data Data Descriptor 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. Nature Publishing Group UK 2023-09-28 /pmc/articles/PMC10539401/ /pubmed/37770487 http://dx.doi.org/10.1038/s41597-023-02568-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Yang, Liu
Zhao, Shengkai
Zhai, Yongchao
Gao, Siru
Wang, Feixiang
Lian, Zhiwei
Duanmu, Lin
Zhang, Yufeng
Zhou, Xiang
Cao, Bin
Wang, Zhaojun
Yan, Haiyan
Zhang, Hui
Arens, Edward
de Dear, Richard
The Chinese thermal comfort dataset
title The Chinese thermal comfort dataset
title_full The Chinese thermal comfort dataset
title_fullStr The Chinese thermal comfort dataset
title_full_unstemmed The Chinese thermal comfort dataset
title_short The Chinese thermal comfort dataset
title_sort chinese thermal comfort dataset
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539401/
https://www.ncbi.nlm.nih.gov/pubmed/37770487
http://dx.doi.org/10.1038/s41597-023-02568-3
work_keys_str_mv AT yangliu thechinesethermalcomfortdataset
AT zhaoshengkai thechinesethermalcomfortdataset
AT zhaiyongchao thechinesethermalcomfortdataset
AT gaosiru thechinesethermalcomfortdataset
AT wangfeixiang thechinesethermalcomfortdataset
AT lianzhiwei thechinesethermalcomfortdataset
AT duanmulin thechinesethermalcomfortdataset
AT zhangyufeng thechinesethermalcomfortdataset
AT zhouxiang thechinesethermalcomfortdataset
AT caobin thechinesethermalcomfortdataset
AT wangzhaojun thechinesethermalcomfortdataset
AT yanhaiyan thechinesethermalcomfortdataset
AT zhanghui thechinesethermalcomfortdataset
AT arensedward thechinesethermalcomfortdataset
AT dedearrichard thechinesethermalcomfortdataset
AT yangliu chinesethermalcomfortdataset
AT zhaoshengkai chinesethermalcomfortdataset
AT zhaiyongchao chinesethermalcomfortdataset
AT gaosiru chinesethermalcomfortdataset
AT wangfeixiang chinesethermalcomfortdataset
AT lianzhiwei chinesethermalcomfortdataset
AT duanmulin chinesethermalcomfortdataset
AT zhangyufeng chinesethermalcomfortdataset
AT zhouxiang chinesethermalcomfortdataset
AT caobin chinesethermalcomfortdataset
AT wangzhaojun chinesethermalcomfortdataset
AT yanhaiyan chinesethermalcomfortdataset
AT zhanghui chinesethermalcomfortdataset
AT arensedward chinesethermalcomfortdataset
AT dedearrichard chinesethermalcomfortdataset