Individual difference in thermal comfort: A literature review
Human individual differences widely and markedly affect thermal comfort and should be carefully considered in the design and operation of the built environment. This paper aims to list and examine the magnitude and significance of individual difference in the preferred/neutral/comfort temperature th...
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| Veröffentlicht in: | Building and environment Jg. 138; S. 181 - 193 |
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| Hauptverfasser: | , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Oxford
Elsevier Ltd
15.06.2018
Elsevier BV |
| Schlagworte: | |
| ISSN: | 0360-1323, 1873-684X |
| Online-Zugang: | Volltext |
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| Abstract | Human individual differences widely and markedly affect thermal comfort and should be carefully considered in the design and operation of the built environment. This paper aims to list and examine the magnitude and significance of individual difference in the preferred/neutral/comfort temperature through reviewing previous climate chamber and field studies. Causal factors for individual differences are investigated, including sex, age and etc. There is no clear and consistent conclusions as to the significance and size of inter-group differences in thermal comfort (between females and males, or the young and the old). To address the issue of individual difference, a paradigm shift from centralized to personalized air condition is on the way with the following three steps: first, collecting individual physiological and psychological response; second, predict individual comfort with machine learning algorithms; and third, accommodating individual difference with Personalized Comfort Systems. |
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| AbstractList | Human individual differences widely and markedly affect thermal comfort and should be carefully considered in the design and operation of the built environment. This paper aims to list and examine the magnitude and significance of individual difference in the preferred/neutral/comfort temperature through reviewing previous climate chamber and field studies. Causal factors for individual differences are investigated, including sex, age and etc. There is no clear and consistent conclusions as to the significance and size of inter-group differences in thermal comfort (between females and males, or the young and the old). To address the issue of individual difference, a paradigm shift from centralized to personalized air condition is on the way with the following three steps: first, collecting individual physiological and psychological response; second, predict individual comfort with machine learning algorithms; and third, accommodating individual difference with Personalized Comfort Systems. |
| Author | Wang, Zhe Lin, Borong Zhu, Yingxin Luo, Maohui He, Yingdong de Dear, Richard Ghahramani, Ali |
| Author_xml | – sequence: 1 givenname: Zhe orcidid: 0000-0002-2231-1606 surname: Wang fullname: Wang, Zhe organization: Centre for Built Environment, University of California, Berkeley, CA, 94720, USA – sequence: 2 givenname: Richard orcidid: 0000-0002-3414-290X surname: de Dear fullname: de Dear, Richard organization: School of Architecture, Design and Planning, The University of Sydney, NSW, 2006, Australia – sequence: 3 givenname: Maohui orcidid: 0000-0002-5107-6940 surname: Luo fullname: Luo, Maohui email: lmhtongji@berkeley.com organization: Centre for Built Environment, University of California, Berkeley, CA, 94720, USA – sequence: 4 givenname: Borong surname: Lin fullname: Lin, Borong email: linbr@tsinghua.edu.cn organization: Department of Building Science, Tsinghua University, Beijing, 100084, China – sequence: 5 givenname: Yingdong surname: He fullname: He, Yingdong organization: Centre for Built Environment, University of California, Berkeley, CA, 94720, USA – sequence: 6 givenname: Ali orcidid: 0000-0003-2043-7261 surname: Ghahramani fullname: Ghahramani, Ali organization: Centre for Built Environment, University of California, Berkeley, CA, 94720, USA – sequence: 7 givenname: Yingxin surname: Zhu fullname: Zhu, Yingxin organization: Department of Building Science, Tsinghua University, Beijing, 100084, China |
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| SubjectTerms | Algorithms Body temperature Built environment Comfort temperature Individual comfort model Individual difference Learning algorithms Literature reviews Machine learning Personal comfort systems Thermal comfort Urban environments |
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