Experimental investigation on thermal comfort model between local thermal sensation and overall thermal sensation
To study the human local and overall thermal sensations, a series of experiments under various conditions were carried out in a climate control chamber. The adopted analysis method considered the effect of the weight coefficient of local average skin temperature and density of the cold receptors’ di...
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Veröffentlicht in: | Energy and buildings 2018-01, Vol.158, p.1286-1295 |
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creator | Fang, Zhaosong Liu, Hong Li, Baizhan Tan, Meilan Olaide, Oladokun Majeed |
description | To study the human local and overall thermal sensations, a series of experiments under various conditions were carried out in a climate control chamber. The adopted analysis method considered the effect of the weight coefficient of local average skin temperature and density of the cold receptors’ distribution in different local body areas. The results demonstrated that the thermal sensation of head, chest, back and hands is warmer than overall thermal sensation. The mean thermal sensation votes of those local areas were more densely distributed. In addition, the thermal sensation of arms, tight and calf was colder than the overall thermal sensation, which pronounced that thermal sensation votes were more dispersed. The thermal sensation of chest and back had a strong linear correlation with overall thermal sensation. Considering the actual scope of air-conditioning regulation, the human body was classified into three local parts: a) head, b) upper part of body and c) lower part of body. The prediction model of both the three-part thermal sensation and overall thermal sensation was developed. Weight coefficients were 0.21, 0.60 and 0.19 respectively. The model provides scientist basis for guiding the sage installation place of the personal ventilation system to achieve efficient energy use. |
doi_str_mv | 10.1016/j.enbuild.2017.10.099 |
format | Article |
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The adopted analysis method considered the effect of the weight coefficient of local average skin temperature and density of the cold receptors’ distribution in different local body areas. The results demonstrated that the thermal sensation of head, chest, back and hands is warmer than overall thermal sensation. The mean thermal sensation votes of those local areas were more densely distributed. In addition, the thermal sensation of arms, tight and calf was colder than the overall thermal sensation, which pronounced that thermal sensation votes were more dispersed. The thermal sensation of chest and back had a strong linear correlation with overall thermal sensation. Considering the actual scope of air-conditioning regulation, the human body was classified into three local parts: a) head, b) upper part of body and c) lower part of body. The prediction model of both the three-part thermal sensation and overall thermal sensation was developed. Weight coefficients were 0.21, 0.60 and 0.19 respectively. The model provides scientist basis for guiding the sage installation place of the personal ventilation system to achieve efficient energy use.</description><identifier>ISSN: 0378-7788</identifier><identifier>EISSN: 1872-6178</identifier><identifier>DOI: 10.1016/j.enbuild.2017.10.099</identifier><language>eng</language><publisher>Lausanne: Elsevier B.V</publisher><subject>Air conditioners ; Air conditioning ; Body temperature ; Building infrastructure ; Chest ; Energy consumption ; HVAC ; Local thermal sensation ; Overall thermal sensation ; Prediction model ; Receptors ; Skin ; Skin temperature ; Thermal comfort ; Ventilation ; Weight coefficient</subject><ispartof>Energy and buildings, 2018-01, Vol.158, p.1286-1295</ispartof><rights>2017 Elsevier B.V.</rights><rights>Copyright Elsevier BV Jan 1, 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-b909b8d625666c62ea27074b7c0d55e4d8049d8053d4dd47d9f103fced653c9a3</citedby><cites>FETCH-LOGICAL-c442t-b909b8d625666c62ea27074b7c0d55e4d8049d8053d4dd47d9f103fced653c9a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S037877881731592X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids></links><search><creatorcontrib>Fang, Zhaosong</creatorcontrib><creatorcontrib>Liu, Hong</creatorcontrib><creatorcontrib>Li, Baizhan</creatorcontrib><creatorcontrib>Tan, Meilan</creatorcontrib><creatorcontrib>Olaide, Oladokun Majeed</creatorcontrib><title>Experimental investigation on thermal comfort model between local thermal sensation and overall thermal sensation</title><title>Energy and buildings</title><description>To study the human local and overall thermal sensations, a series of experiments under various conditions were carried out in a climate control chamber. The adopted analysis method considered the effect of the weight coefficient of local average skin temperature and density of the cold receptors’ distribution in different local body areas. The results demonstrated that the thermal sensation of head, chest, back and hands is warmer than overall thermal sensation. The mean thermal sensation votes of those local areas were more densely distributed. In addition, the thermal sensation of arms, tight and calf was colder than the overall thermal sensation, which pronounced that thermal sensation votes were more dispersed. The thermal sensation of chest and back had a strong linear correlation with overall thermal sensation. Considering the actual scope of air-conditioning regulation, the human body was classified into three local parts: a) head, b) upper part of body and c) lower part of body. The prediction model of both the three-part thermal sensation and overall thermal sensation was developed. Weight coefficients were 0.21, 0.60 and 0.19 respectively. The model provides scientist basis for guiding the sage installation place of the personal ventilation system to achieve efficient energy use.</description><subject>Air conditioners</subject><subject>Air conditioning</subject><subject>Body temperature</subject><subject>Building infrastructure</subject><subject>Chest</subject><subject>Energy consumption</subject><subject>HVAC</subject><subject>Local thermal sensation</subject><subject>Overall thermal sensation</subject><subject>Prediction model</subject><subject>Receptors</subject><subject>Skin</subject><subject>Skin temperature</subject><subject>Thermal comfort</subject><subject>Ventilation</subject><subject>Weight coefficient</subject><issn>0378-7788</issn><issn>1872-6178</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqFkF9LwzAUxYMoOKcfQSj43JmkaZI-iYz5Bwa-6HNok1tNaZMt6aZ-ezM63wQh3MA959zL_SF0TfCCYMJvuwW4Zmd7s6CYiNRb4Ko6QTMiBc05EfIUzXAhZC6ElOfoIsYOY8xLQWZou_raQLADuLHuM-v2EEf7Xo_Wuyy98QPCkATth9aHMRu8gT5rYPwEcFnvddJ-PRFcnIK1M5nfQ6j7P9RLdNbWfYSr4z9Hbw-r1-VTvn55fF7er3PNGB3zpsJVIw2nJedccwo1FViwRmhsyhKYkZhVqZSFYcYwYaqW4KLVYHhZ6Kou5uhmmrsJfrtLZ6nO74JLKxXFlDHJKsySq5xcOvgYA7Rqk2jU4VsRrA50VaeOdNWB7qGd6Kbc3ZSDdMLeQlBRW3BpvQ2gR2W8_WfCD7vuiI0</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Fang, Zhaosong</creator><creator>Liu, Hong</creator><creator>Li, Baizhan</creator><creator>Tan, Meilan</creator><creator>Olaide, Oladokun Majeed</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>SOI</scope></search><sort><creationdate>20180101</creationdate><title>Experimental investigation on thermal comfort model between local thermal sensation and overall thermal sensation</title><author>Fang, Zhaosong ; Liu, Hong ; Li, Baizhan ; Tan, Meilan ; Olaide, Oladokun Majeed</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-b909b8d625666c62ea27074b7c0d55e4d8049d8053d4dd47d9f103fced653c9a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Air conditioners</topic><topic>Air conditioning</topic><topic>Body temperature</topic><topic>Building infrastructure</topic><topic>Chest</topic><topic>Energy consumption</topic><topic>HVAC</topic><topic>Local thermal sensation</topic><topic>Overall thermal sensation</topic><topic>Prediction model</topic><topic>Receptors</topic><topic>Skin</topic><topic>Skin temperature</topic><topic>Thermal comfort</topic><topic>Ventilation</topic><topic>Weight coefficient</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fang, Zhaosong</creatorcontrib><creatorcontrib>Liu, Hong</creatorcontrib><creatorcontrib>Li, Baizhan</creatorcontrib><creatorcontrib>Tan, Meilan</creatorcontrib><creatorcontrib>Olaide, Oladokun Majeed</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Energy and buildings</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fang, Zhaosong</au><au>Liu, Hong</au><au>Li, Baizhan</au><au>Tan, Meilan</au><au>Olaide, Oladokun Majeed</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Experimental investigation on thermal comfort model between local thermal sensation and overall thermal sensation</atitle><jtitle>Energy and buildings</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>158</volume><spage>1286</spage><epage>1295</epage><pages>1286-1295</pages><issn>0378-7788</issn><eissn>1872-6178</eissn><abstract>To study the human local and overall thermal sensations, a series of experiments under various conditions were carried out in a climate control chamber. The adopted analysis method considered the effect of the weight coefficient of local average skin temperature and density of the cold receptors’ distribution in different local body areas. The results demonstrated that the thermal sensation of head, chest, back and hands is warmer than overall thermal sensation. The mean thermal sensation votes of those local areas were more densely distributed. In addition, the thermal sensation of arms, tight and calf was colder than the overall thermal sensation, which pronounced that thermal sensation votes were more dispersed. The thermal sensation of chest and back had a strong linear correlation with overall thermal sensation. Considering the actual scope of air-conditioning regulation, the human body was classified into three local parts: a) head, b) upper part of body and c) lower part of body. The prediction model of both the three-part thermal sensation and overall thermal sensation was developed. Weight coefficients were 0.21, 0.60 and 0.19 respectively. The model provides scientist basis for guiding the sage installation place of the personal ventilation system to achieve efficient energy use.</abstract><cop>Lausanne</cop><pub>Elsevier B.V</pub><doi>10.1016/j.enbuild.2017.10.099</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Air conditioners Air conditioning Body temperature Building infrastructure Chest Energy consumption HVAC Local thermal sensation Overall thermal sensation Prediction model Receptors Skin Skin temperature Thermal comfort Ventilation Weight coefficient |
title | Experimental investigation on thermal comfort model between local thermal sensation and overall thermal sensation |
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