Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61082
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dc.contributorDepartment of Building Services Engineeringen_US
dc.creatorHuang, Yen_US
dc.creatorNiu, JLen_US
dc.date.accessioned2016-12-19T08:54:38Z-
dc.date.available2016-12-19T08:54:38Z-
dc.identifier.issn0378-7788en_US
dc.identifier.urihttp://hdl.handle.net/10397/61082-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2015 Elsevier B.V. All rights reserved.en_US
dc.rights© 2015. 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 Huang, Y., & Niu, J. L. (2016). Optimal building envelope design based on simulated performance: History, current status and new potentials. Energy and Buildings, 117, 387-398 is available at https://doi.org/10.1016/j.enbuild.2015.09.025.en_US
dc.subjectBuilding envelopeen_US
dc.subjectBuilding performance simulationen_US
dc.subjectDesign optimizationen_US
dc.subjectOptimization algorithmsen_US
dc.subjectOptimization objectivesen_US
dc.titleOptimal building envelope design based on simulated performance : history, current status and new potentialsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage387en_US
dc.identifier.epage398en_US
dc.identifier.volume117en_US
dc.identifier.doi10.1016/j.enbuild.2015.09.025en_US
dcterms.abstractGreen building design is presently among the hottest research topics in the world. Maintaining a comfortable indoor environment with minimum energy consumption is a challenging task that attracts the attention of experts around the world. With the recent advances in building performance simulation tools, it is now possible to predict and assess building performance at the design stage. Simulation-based optimization of building design is a potential application that connects building performance simulation with optimization algorithms. In this paper, numerous studies on the optimization of building envelope design were assembled and reviewed. Popular optimization algorithms were compared and discussed. Targeted objectives were collected and summarized. Based on the statistical results, the limitations in this research area were identified, and some potential breakthroughs were suggested.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnergy and buildings, 1 Apr. 2016, v. 117, p. 387-398en_US
dcterms.isPartOfEnergy and buildingsen_US
dcterms.issued2016-04-01-
dc.identifier.isiWOS:000373751300038-
dc.identifier.scopus2-s2.0-84960808160-
dc.identifier.eissn1872-6178en_US
dc.identifier.rosgroupid2015004538-
dc.description.ros2015-2016 > Academic research: refereed > Publication in refereed journalen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberRGC-B3-0535-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
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