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Article: A statistical approach to the development of a typical meteorological year for Hong Kong

TitleA statistical approach to the development of a typical meteorological year for Hong Kong
Authors
KeywordsBuilding energy simulation
Statistics
Typical meteorological year
Weather data
Issue Date1996
PublisherUniversity of Sydney, Faculty of Architecture. The Journal's web site is located at http://www.arch.usyd.edu.au/asr/
Citation
Architectural Science Review, 1996, v. 39 n. 4, p. 201-209 How to Cite?
AbstractMeasured hourly weather data for the 16-year period from 1979 to 1994 were analysed. Statistics techniques were used to develop a typical meteorological year (TMY) for building energy simulation. We used the Finkelstein-Schafer (FS) and the Kolmogrov-Smirnov (KS) two-sample statistics to analyse and select representative weather data for the formulation of a TMYfor Hong Kong. Building energy computer simulations using DOE-2 were carried out. It was found that the monthly electricity consumption profile from the TMY was close to that from the 16-year long-term weather data. The root-mean-square error was 27.7MWh, 3.9% of the long-term mean monthly consumption. On an annual basis, TMY predicted 1.5% more consumption than the long-term.
Persistent Identifierhttp://hdl.handle.net/10722/65801
ISSN
2015 SCImago Journal Rankings: 0.627
References

 

DC FieldValueLanguage
dc.contributor.authorLam, JCen_HK
dc.contributor.authorHui, SCMen_HK
dc.contributor.authorChan, ALSen_HK
dc.date.accessioned2010-09-06T05:41:03Z-
dc.date.available2010-09-06T05:41:03Z-
dc.date.issued1996en_HK
dc.identifier.citationArchitectural Science Review, 1996, v. 39 n. 4, p. 201-209en_HK
dc.identifier.issn0003-8628en_HK
dc.identifier.urihttp://hdl.handle.net/10722/65801-
dc.description.abstractMeasured hourly weather data for the 16-year period from 1979 to 1994 were analysed. Statistics techniques were used to develop a typical meteorological year (TMY) for building energy simulation. We used the Finkelstein-Schafer (FS) and the Kolmogrov-Smirnov (KS) two-sample statistics to analyse and select representative weather data for the formulation of a TMYfor Hong Kong. Building energy computer simulations using DOE-2 were carried out. It was found that the monthly electricity consumption profile from the TMY was close to that from the 16-year long-term weather data. The root-mean-square error was 27.7MWh, 3.9% of the long-term mean monthly consumption. On an annual basis, TMY predicted 1.5% more consumption than the long-term.en_HK
dc.languageengen_HK
dc.publisherUniversity of Sydney, Faculty of Architecture. The Journal's web site is located at http://www.arch.usyd.edu.au/asr/en_HK
dc.relation.ispartofArchitectural Science Reviewen_HK
dc.subjectBuilding energy simulationen_HK
dc.subjectStatisticsen_HK
dc.subjectTypical meteorological yearen_HK
dc.subjectWeather dataen_HK
dc.titleA statistical approach to the development of a typical meteorological year for Hong Kongen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0003-8628&volume=39 &issue=4&spage=201&epage=209&date=1996&atitle=A+statistical+approach+to+the+development+of+a+typical+meteorological+year+for+Hong+Kongen_HK
dc.identifier.emailHui, SCM:cmhui@hku.hken_HK
dc.identifier.authorityHui, SCM=rp00121en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/00038628.1996.9696818-
dc.identifier.scopuseid_2-s2.0-0000549040en_HK
dc.identifier.hkuros39843en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0000549040&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume39en_HK
dc.identifier.issue4en_HK
dc.identifier.spage201en_HK
dc.identifier.epage209en_HK
dc.publisher.placeAustraliaen_HK
dc.identifier.scopusauthoridLam, JC=23479679000en_HK
dc.identifier.scopusauthoridHui, SCM=7202831828en_HK
dc.identifier.scopusauthoridChan, ALS=7403167838en_HK

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