Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102885
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dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorChen, Xen_US
dc.creatorHuang, Jen_US
dc.creatorYang, Hen_US
dc.creatorPeng, Jen_US
dc.date.accessioned2023-11-17T02:58:25Z-
dc.date.available2023-11-17T02:58:25Z-
dc.identifier.issn0959-6526en_US
dc.identifier.urihttp://hdl.handle.net/10397/102885-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2019 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2019. 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., Huang, J., Yang, H., & Peng, J. (2019). Approaching low-energy high-rise building by integrating passive architectural design with photovoltaic application. Journal of Cleaner Production, 220, 313-330 is available at https://doi.org/10.1016/j.jclepro.2019.02.137.en_US
dc.subjectLow-energy buildingen_US
dc.subjectParticle swarm optimizationen_US
dc.subjectPassive designen_US
dc.subjectPhotovoltaic applicationen_US
dc.subjectSensitivity analysisen_US
dc.titleApproaching low-energy high-rise building by integrating passive architectural design with photovoltaic applicationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage313en_US
dc.identifier.epage330en_US
dc.identifier.volume220en_US
dc.identifier.doi10.1016/j.jclepro.2019.02.137en_US
dcterms.abstractBuilding envelopes can highly impact the building energy demand and indoor environmental quality, so that the application of novel façade systems such as photovoltaics has been widely investigated. However, few study has addressed the interactive effect between photovoltaic (PV) application and traditional passive architectural design strategies, which is thoroughly discussed in this comparative study using a holistic design optimization process. The holistic design optimization approach combines screening-based and variance-based sensitivity analyses with the non-dominated sorting genetic algorithm-II (NSGA-II) and hybrid generalized pattern search particle swarm optimization (HGPSPSO). The impact of the light-to-solar gain ratio (LSG) is evaluated as one of the key factor to combine the passive design and PV glazing based on a comprehensive glazing database. Through an exhaustive sensitivity analysis (SA), the Morris method is proved to be efficient and robust in factor prioritizing only when the required minimum sampling size is satisfied. The window to ground ratio showed much greater impact on the net building energy demand when PV applications are coupled with all available vertical façades. Furthermore, the necessary particles for specified design input dimensions are determined for the optimal performance of HGPSPSO. With the optimum design configuration, the net building demand can be reduced by up to 71.36% under the hot summer and warm winter condition of Hong Kong. Research findings from this study can be used to develop low-energy building guidelines and building integrated PV applications in early planning stages.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of cleaner production, 20 May 2019, v. 220, p. 313-330en_US
dcterms.isPartOfJournal of cleaner productionen_US
dcterms.issued2019-05-20-
dc.identifier.scopus2-s2.0-85061839689-
dc.description.validate202311 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBEEE-0370-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextInnovation and Technology Fund; The Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS49646397-
dc.description.oaCategoryGreen (AAM)en_US
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