Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102950
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dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorChen, Xen_US
dc.creatorYang, Hen_US
dc.creatorWang, Ten_US
dc.date.accessioned2023-11-17T02:58:58Z-
dc.date.available2023-11-17T02:58:58Z-
dc.identifier.issn0959-6526en_US
dc.identifier.urihttp://hdl.handle.net/10397/102950-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2017 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Chen, X., Yang, H., & Wang, T. (2017). Developing a robust assessment system for the passive design approach in the green building rating scheme of hong kong. Journal of Cleaner Production, 153, 176-194 is available at https://doi.org/10.1016/j.jclepro.2017.03.191.en_US
dc.subjectAssessmenten_US
dc.subjectBEAMen_US
dc.subjectGreen buildingen_US
dc.subjectPassive designen_US
dc.subjectSensitivity analysisen_US
dc.subjectWeightingen_US
dc.titleDeveloping a robust assessment system for the passive design approach in the green building rating scheme of Hong Kongen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage176en_US
dc.identifier.epage194en_US
dc.identifier.volume153en_US
dc.identifier.doi10.1016/j.jclepro.2017.03.191en_US
dcterms.abstractThis paper proposed a renovated passive design assessment system for green building labelling based on robust energy end-use statistics, different global sensitivity analysis methods, modelling experiments and a detailed case study. The developed system is only applied to cooling and lighting related criteria, which are mainly influenced by selected passive design strategies. After a preliminary definition of the assessment framework and total available credits, the priorities of different sub-criteria are derived from sensitivity analyses of a generic building model with screening-based, variance-based and regression methods. Adjustment of assessment criteria is also performed according to significance tests and post optimization analyses. Furthermore, performance and grading scales are formulated with baseline requirements, optimization results and local sensitivity analyses. Eventually, the FAST (Fourier Amplitude Sensitivity Test) method is proved to generate the most appropriate weighting system considering the consistence of the credit prediction with the traditional whole building simulation approach. Findings from this research can guide decision-makers in the construction industry to obtain an optimized preliminary design by properly allocating resources and investments under a prescriptive evaluation approach starting from the early planning stage. The research design can also be applied to determine the assessment system for other performance-based criteria in a green building assessment scheme.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of cleaner production, 1 June 2017, v. 153, p. 176-194en_US
dcterms.isPartOfJournal of cleaner productionen_US
dcterms.issued2017-06-01-
dc.identifier.scopus2-s2.0-85018283957-
dc.description.validate202311 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBEEE-0625-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextConstruction Industry Council of Hong Kong; The Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6740919-
dc.description.oaCategoryGreen (AAM)en_US
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