Main effects and interactions of multiple key factors related to thermal perception
Copyright © 2024 Elsevier B.V. All rights reserved..
The real indoor environment involves the comprehensive interaction of multiple factors, and human subjective responses to different factors are influenced by various aspects such as physics, physiology, and psychology. The relative significance of various factors influencing different types of human subjective thermal perception, as well as the extent of their interactions, remains somewhat unclear. This investigation, leveraging the "Chinese Thermal Comfort Dataset," analyzed the integrated impact of basic thermal perception factors-temperature, humidity, air speed, as well as clothing insulation and metabolic rate-on subjective thermal perception. The findings underscored the definitive role of air temperature as the primary determinant of thermal sensation, with the impact of other factors generally remaining below 15 % of temperature. Nonetheless, the sensitivity of thermal sensation to temperature is significantly affected by other factors, demonstrating a significant interaction between temperature and different factors in influencing temperature sensation. Additionally, it was observed that significant differences (p < 0.001) in thermal comfort levels existed even at the same thermal sensation. For instance, in the state of thermal neutrality, occupants with relatively higher clothing insulation reported higher thermal comfort level (d = 0.40, p < 0.001) during the cooling season but lower thermal comfort level (d = 0.54, P < 0.001) during the heating season. Consequently, it can be deduced that when comprehensively considering the impact of multiple factors, evaluating the environment solely based on thermal sensation or thermal neutrality may prove insufficient.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:918 |
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Enthalten in: |
The Science of the total environment - 918(2024) vom: 25. Feb., Seite 170683 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Yang, Yuxin [VerfasserIn] |
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Links: |
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Themen: |
Field study |
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Anmerkungen: |
Date Completed 22.02.2024 Date Revised 22.02.2024 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1016/j.scitotenv.2024.170683 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM368147037 |
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520 | |a The real indoor environment involves the comprehensive interaction of multiple factors, and human subjective responses to different factors are influenced by various aspects such as physics, physiology, and psychology. The relative significance of various factors influencing different types of human subjective thermal perception, as well as the extent of their interactions, remains somewhat unclear. This investigation, leveraging the "Chinese Thermal Comfort Dataset," analyzed the integrated impact of basic thermal perception factors-temperature, humidity, air speed, as well as clothing insulation and metabolic rate-on subjective thermal perception. The findings underscored the definitive role of air temperature as the primary determinant of thermal sensation, with the impact of other factors generally remaining below 15 % of temperature. Nonetheless, the sensitivity of thermal sensation to temperature is significantly affected by other factors, demonstrating a significant interaction between temperature and different factors in influencing temperature sensation. Additionally, it was observed that significant differences (p < 0.001) in thermal comfort levels existed even at the same thermal sensation. For instance, in the state of thermal neutrality, occupants with relatively higher clothing insulation reported higher thermal comfort level (d = 0.40, p < 0.001) during the cooling season but lower thermal comfort level (d = 0.54, P < 0.001) during the heating season. Consequently, it can be deduced that when comprehensively considering the impact of multiple factors, evaluating the environment solely based on thermal sensation or thermal neutrality may prove insufficient | ||
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700 | 1 | |a Liu, Weiwei |e verfasserin |4 aut | |
700 | 1 | |a Duanmu, Lin |e verfasserin |4 aut | |
700 | 1 | |a Zhai, Yongchao |e verfasserin |4 aut | |
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700 | 1 | |a Zhou, Xiang |e verfasserin |4 aut | |
700 | 1 | |a Wang, Zhaojun |e verfasserin |4 aut | |
700 | 1 | |a Zhang, Xiaojing |e verfasserin |4 aut | |
700 | 1 | |a Wang, Fang |e verfasserin |4 aut | |
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