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dc.contributor.authorChen, Shuqin
dc.contributor.authorGuan, Jun
dc.contributor.authorNord, Natasa
dc.contributor.authorLi, Nianping
dc.contributor.authorYoshino, Hiroshi
dc.date.accessioned2020-03-31T07:28:20Z
dc.date.available2020-03-31T07:28:20Z
dc.date.created2019-01-18T16:10:26Z
dc.date.issued2019
dc.identifier.citationEnergy Efficiency. 2019, 12 (6), 1509-1528.en_US
dc.identifier.issn1570-646X
dc.identifier.urihttps://hdl.handle.net/11250/2649554
dc.description.abstracthe lack of empirical data demonstrating the relationship between influencing factors and building energy performance is one of the primary barriers in energy efficiency management. A citywide residential energy information database and the data-based analytical methodology help increase the knowledge about the local real estate situation, explore energy efficiency opportunities and measures, financial investment, and market trend in the local building stocks, and make the reasonable policies as well. Few databases were established in USA and Europe only covering the building information and energy use, while there are lack of an indices system and database of building energy efficiency information in China. Therefore, in this study, a definition of urban residential energy information system is suggested, covering the parameters of building characteristics, household characteristics, possession and operation of domestic appliances, indoor thermal environment, climate condition, energy market, economic level, municipal infrastructure, and energy use consequence. Consequently, a database is developed to collect the raw data in seven typical cities in China. A classification model is established by Quantitative Theory III to classify and characterize the urban residential energy use systems into three different city groups, and suggestions are made to guide the energy efficiency work for different city groups. The case study is a good example to demonstrate the methodology and the analysis provided a helpful reference for the citywide building energy efficiency management.en_US
dc.language.isoengen_US
dc.publisherSpringer Verlagen_US
dc.relation.urihttps://link.springer.com/content/pdf/10.1007%2Fs12053-018-9768-8.pdf
dc.titleA study of citywide urban residential energy information system for the building energy efficiency management: a cluster model of seven typical cities in Chinaen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber1509-1528en_US
dc.source.volume12en_US
dc.source.journalEnergy Efficiencyen_US
dc.source.issue6en_US
dc.identifier.doi10.1007/s12053-018-9768-8
dc.identifier.cristin1660606
dc.relation.projectNorges forskningsråd: 268248en_US
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in Energy Efficiency. Locked until 7 January 2020 due to copyright restrictions. The final authenticated version is available online at: https://doi.org/10.1007/s12053-018-9768-8en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode1


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