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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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 |
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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 |
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