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dc.contributorDepartment of Building and Real Estateen_US
dc.contributor.advisorNi, Meng (BRE)en_US
dc.creatorXu, Zuoqi-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/11209-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic Universityen_US
dc.rightsAll rights reserveden_US
dc.titleAnalysis of office building energy performance classification in Hong Kongen_US
dcterms.abstractAs one of the typical densely-populated cities in the world, Hong Kong has long been suffering from high electricity consumption in building sector. In order to increase the building energy efficiency and reduce greenhouse gas emissions, buildings with good energy saving potentials should be firstly identified. In this research, an Office Building Energy Performance Classification Model (OBEPCM) was proposed for this purpose. The clustering analysis and discriminant analysis are core algorithms in modelling, of which the output results of cluster analysis would be turned into inputs parameters of discriminant analysis. 452 buildings cases in Hong Kong were collected and pre-processed for establishing and validating the OBEPCM, while other 155 building cases were used for practice in energy saving potential finding. Finally, total 4 building clusters and corresponding standards, as well as 4 discriminant functions were created. Besides, strategies were proposed to improve the energy performance of 90 identified less energy efficient buildings.en_US
dcterms.extentix, 72 pages : color illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2021en_US
dcterms.educationalLevelM.Sc.en_US
dcterms.educationalLevelAll Masteren_US
dcterms.LCSHOffice buildings -- Energy conservationen_US
dcterms.LCSHBuildings -- Energy conservation -- China -- Hong Kongen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/11209