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Article: Regression analysis of high-rise fully air-conditioned office buildings

TitleRegression analysis of high-rise fully air-conditioned office buildings
Authors
KeywordsEnergy equations
Randomized inputs
Regression analysis
Issue Date1997
PublisherElsevier SA. The Journal's web site is located at http://www.elsevier.com/locate/enbuild
Citation
Energy And Buildings, 1997, v. 26 n. 2, p. 189-197 How to Cite?
AbstractThe building energy simulation computer program DOE-2 was used to carry out a parametric study of a generic high-rise air-conditioned office building in Hong Kong. A total of 28 design parameters related to the building load, the heating, ventilating and air-conditioning (HVAC) system and the HVAC refrigeration plant were found to correlate well with the predicted annual electricity consumption. Both linear and non-linear multiple regression techniques were used to develop regression models and energy equations for the prediction of annual electricity use. Twelve input design parameters (six from building load, four from HVAC system and two from HVAC refrigeration plant) were considered to be the most significant design variables and were used in the energy prediction equations. It is hoped that the resulting models and energy equations can be used as a simplified design tool for comparing the relative thermal and energy performance of different design schemes during the early design stage. This paper presents the methodology and the development work, and discusses the findings. © 1997 Elsevier Science S.A.
Persistent Identifierhttp://hdl.handle.net/10722/65841
ISSN
2015 Impact Factor: 2.973
2015 SCImago Journal Rankings: 2.073
References

 

DC FieldValueLanguage
dc.contributor.authorLam, JCen_HK
dc.contributor.authorHui, SCMen_HK
dc.contributor.authorChan, ALSen_HK
dc.date.accessioned2010-09-06T05:41:22Z-
dc.date.available2010-09-06T05:41:22Z-
dc.date.issued1997en_HK
dc.identifier.citationEnergy And Buildings, 1997, v. 26 n. 2, p. 189-197en_HK
dc.identifier.issn0378-7788en_HK
dc.identifier.urihttp://hdl.handle.net/10722/65841-
dc.description.abstractThe building energy simulation computer program DOE-2 was used to carry out a parametric study of a generic high-rise air-conditioned office building in Hong Kong. A total of 28 design parameters related to the building load, the heating, ventilating and air-conditioning (HVAC) system and the HVAC refrigeration plant were found to correlate well with the predicted annual electricity consumption. Both linear and non-linear multiple regression techniques were used to develop regression models and energy equations for the prediction of annual electricity use. Twelve input design parameters (six from building load, four from HVAC system and two from HVAC refrigeration plant) were considered to be the most significant design variables and were used in the energy prediction equations. It is hoped that the resulting models and energy equations can be used as a simplified design tool for comparing the relative thermal and energy performance of different design schemes during the early design stage. This paper presents the methodology and the development work, and discusses the findings. © 1997 Elsevier Science S.A.en_HK
dc.languageengen_HK
dc.publisherElsevier SA. The Journal's web site is located at http://www.elsevier.com/locate/enbuilden_HK
dc.relation.ispartofEnergy and Buildingsen_HK
dc.subjectEnergy equationsen_HK
dc.subjectRandomized inputsen_HK
dc.subjectRegression analysisen_HK
dc.titleRegression analysis of high-rise fully air-conditioned office buildingsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0378-7788&volume=26&spage=189&epage=197&date=1997&atitle=Regression+analysis+of+high-rise+fully+air-conditioned+office+buildingsen_HK
dc.identifier.emailHui, SCM:cmhui@hku.hken_HK
dc.identifier.authorityHui, SCM=rp00121en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0031221313en_HK
dc.identifier.hkuros37013en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0031221313&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume26en_HK
dc.identifier.issue2en_HK
dc.identifier.spage189en_HK
dc.identifier.epage197en_HK
dc.publisher.placeSwitzerlanden_HK
dc.identifier.scopusauthoridLam, JC=23479679000en_HK
dc.identifier.scopusauthoridHui, SCM=7202831828en_HK
dc.identifier.scopusauthoridChan, ALS=7403167838en_HK

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