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Comparison of theoretical and statistical models of air-conditioning-unit usage behaviour in a residential setting under Japanese climatic conditions
Occupant behaviour and its relation to energy use within the built environment have become more important in recent years. This paper first describes three statistical models based on a field survey and measurement for summer and winter respectively, which can be used to predict the percentage of ai...
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Published in: | Building and environment 2009-10, Vol.44 (10), p.2137-2149 |
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creator | Schweiker, Marcel Shukuya, Masanori |
description | Occupant behaviour and its relation to energy use within the built environment have become more important in recent years. This paper first describes three statistical models based on a field survey and measurement for summer and winter respectively, which can be used to predict the percentage of air-conditioning-units used during night-time with a realistic assumption of human behaviour. The first statistical models are the results of a common approach to connect the occupant behaviour with the mean outdoor air temperature through the use of logistic regression. The present investigation extends these models to one including further external factors such as the mean outdoor air temperature the night before. The final models also include the preference and background of the individual subject. The statistical models are then compared to a theoretical model of occupant behaviour based on a comprehensive literature review. In conclusion, mean outdoor air temperature of the foregoing night(s) had a major impact on occupant behaviour during summertime, but a minor one in wintertime. The impact of the individual factors had the same magnitude as the external factors in summer, but an eight times higher impact in winter. Detailed research on the occupant behaviour is proposed to clarify further aspects of the theoretical model. |
doi_str_mv | 10.1016/j.buildenv.2009.03.004 |
format | article |
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This paper first describes three statistical models based on a field survey and measurement for summer and winter respectively, which can be used to predict the percentage of air-conditioning-units used during night-time with a realistic assumption of human behaviour. The first statistical models are the results of a common approach to connect the occupant behaviour with the mean outdoor air temperature through the use of logistic regression. The present investigation extends these models to one including further external factors such as the mean outdoor air temperature the night before. The final models also include the preference and background of the individual subject. The statistical models are then compared to a theoretical model of occupant behaviour based on a comprehensive literature review. In conclusion, mean outdoor air temperature of the foregoing night(s) had a major impact on occupant behaviour during summertime, but a minor one in wintertime. The impact of the individual factors had the same magnitude as the external factors in summer, but an eight times higher impact in winter. Detailed research on the occupant behaviour is proposed to clarify further aspects of the theoretical model.</description><identifier>ISSN: 0360-1323</identifier><identifier>EISSN: 1873-684X</identifier><identifier>DOI: 10.1016/j.buildenv.2009.03.004</identifier><identifier>CODEN: BUENDB</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Adaptation ; air temperature ; Applied sciences ; Building controls ; Building technical equipments ; Buildings ; Buildings. Public works ; climatic conditions ; Energy consumption ; Environmental engineering ; Exact sciences and technology ; Field study ; Japan ; Mathematical models ; Occupant behaviour ; Personal background ; Q1 ; Q3 ; Residential building ; Reviews ; summer ; Types of buildings ; Ventilation. Air conditioning ; winter</subject><ispartof>Building and environment, 2009-10, Vol.44 (10), p.2137-2149</ispartof><rights>2009 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-440d9d53f46f47625c261d6e189b01682ec803e588230ec8062feee3fd3505d33</citedby><cites>FETCH-LOGICAL-c436t-440d9d53f46f47625c261d6e189b01682ec803e588230ec8062feee3fd3505d33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21519380$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Schweiker, Marcel</creatorcontrib><creatorcontrib>Shukuya, Masanori</creatorcontrib><title>Comparison of theoretical and statistical models of air-conditioning-unit usage behaviour in a residential setting under Japanese climatic conditions</title><title>Building and environment</title><description>Occupant behaviour and its relation to energy use within the built environment have become more important in recent years. This paper first describes three statistical models based on a field survey and measurement for summer and winter respectively, which can be used to predict the percentage of air-conditioning-units used during night-time with a realistic assumption of human behaviour. The first statistical models are the results of a common approach to connect the occupant behaviour with the mean outdoor air temperature through the use of logistic regression. The present investigation extends these models to one including further external factors such as the mean outdoor air temperature the night before. The final models also include the preference and background of the individual subject. The statistical models are then compared to a theoretical model of occupant behaviour based on a comprehensive literature review. In conclusion, mean outdoor air temperature of the foregoing night(s) had a major impact on occupant behaviour during summertime, but a minor one in wintertime. The impact of the individual factors had the same magnitude as the external factors in summer, but an eight times higher impact in winter. Detailed research on the occupant behaviour is proposed to clarify further aspects of the theoretical model.</description><subject>Adaptation</subject><subject>air temperature</subject><subject>Applied sciences</subject><subject>Building controls</subject><subject>Building technical equipments</subject><subject>Buildings</subject><subject>Buildings. Public works</subject><subject>climatic conditions</subject><subject>Energy consumption</subject><subject>Environmental engineering</subject><subject>Exact sciences and technology</subject><subject>Field study</subject><subject>Japan</subject><subject>Mathematical models</subject><subject>Occupant behaviour</subject><subject>Personal background</subject><subject>Q1</subject><subject>Q3</subject><subject>Residential building</subject><subject>Reviews</subject><subject>summer</subject><subject>Types of buildings</subject><subject>Ventilation. 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Public works</topic><topic>climatic conditions</topic><topic>Energy consumption</topic><topic>Environmental engineering</topic><topic>Exact sciences and technology</topic><topic>Field study</topic><topic>Japan</topic><topic>Mathematical models</topic><topic>Occupant behaviour</topic><topic>Personal background</topic><topic>Q1</topic><topic>Q3</topic><topic>Residential building</topic><topic>Reviews</topic><topic>summer</topic><topic>Types of buildings</topic><topic>Ventilation. Air conditioning</topic><topic>winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schweiker, Marcel</creatorcontrib><creatorcontrib>Shukuya, Masanori</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Building and environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schweiker, Marcel</au><au>Shukuya, Masanori</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of theoretical and statistical models of air-conditioning-unit usage behaviour in a residential setting under Japanese climatic conditions</atitle><jtitle>Building and environment</jtitle><date>2009-10-01</date><risdate>2009</risdate><volume>44</volume><issue>10</issue><spage>2137</spage><epage>2149</epage><pages>2137-2149</pages><issn>0360-1323</issn><eissn>1873-684X</eissn><coden>BUENDB</coden><abstract>Occupant behaviour and its relation to energy use within the built environment have become more important in recent years. This paper first describes three statistical models based on a field survey and measurement for summer and winter respectively, which can be used to predict the percentage of air-conditioning-units used during night-time with a realistic assumption of human behaviour. The first statistical models are the results of a common approach to connect the occupant behaviour with the mean outdoor air temperature through the use of logistic regression. The present investigation extends these models to one including further external factors such as the mean outdoor air temperature the night before. The final models also include the preference and background of the individual subject. The statistical models are then compared to a theoretical model of occupant behaviour based on a comprehensive literature review. In conclusion, mean outdoor air temperature of the foregoing night(s) had a major impact on occupant behaviour during summertime, but a minor one in wintertime. The impact of the individual factors had the same magnitude as the external factors in summer, but an eight times higher impact in winter. Detailed research on the occupant behaviour is proposed to clarify further aspects of the theoretical model.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.buildenv.2009.03.004</doi><tpages>13</tpages></addata></record> |
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source | ScienceDirect Freedom Collection 2022-2024 |
subjects | Adaptation air temperature Applied sciences Building controls Building technical equipments Buildings Buildings. Public works climatic conditions Energy consumption Environmental engineering Exact sciences and technology Field study Japan Mathematical models Occupant behaviour Personal background Q1 Q3 Residential building Reviews summer Types of buildings Ventilation. Air conditioning winter |
title | Comparison of theoretical and statistical models of air-conditioning-unit usage behaviour in a residential setting under Japanese climatic conditions |
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