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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/21571
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dc.contributor.authorWang, Mengchaoen_UK
dc.contributor.authorWright, Jonathan Aen_UK
dc.contributor.authorBrownlee, Alexanderen_UK
dc.contributor.authorBuswell, Richarden_UK
dc.contributor.editorMalki-Epsthein, Len_UK
dc.contributor.editorSpataru, Cen_UK
dc.contributor.editorHalburd, LMen_UK
dc.contributor.editorMumovic, Den_UK
dc.date.accessioned2016-12-08T04:42:43Z-
dc.date.available2016-12-08T04:42:43Z-
dc.date.issued2014-06-24en_UK
dc.identifier.urihttp://hdl.handle.net/1893/21571-
dc.description.abstractMethods for global and local Sensitivity analysis are designed to identify and rank variables importance for each design objective and constraint. This paper investigates the application of local sensitivity analysis to a set of Pareto optimum solutions resulting from the multi-objective minimization of energy use and capital cost, with occupant thermal comfort acting as a constraint. It is concluded that the local sensitivities vary along the trade-off and that these sensitivities are different to the global sensitivities. Different sensitivity behaviour is also observed both along the Pareto trade-off and between variables.en_UK
dc.language.isoenen_UK
dc.publisherThe Bartlett, UCL Faculty of the Built Environmenten_UK
dc.relationWang M, Wright JA, Brownlee A & Buswell R (2014) Applying Global And Local SA In Identification Of Variables Importance With The Use Of Multi-Objective Optimization. In: Malki-Epsthein L, Spataru C, Halburd L & Mumovic D (eds.) Proceedings of the Building Simulation and Optimization Conference 2014. Building Simulation and Optimization 2014, London, UK, 23.06.2014-24.06.2014. London: The Bartlett, UCL Faculty of the Built Environment. http://www.bso14.org/BSO14_Papers/BSO14_Paper_096.pdfen_UK
dc.rightsCopyright © IBPSA-England, 2014. Permission to make digital or hard copies of portions of this work for personal or research and teaching use is granted provided that copies are not made or distributed for profit or commercial advantage and that copies are labelled: Copyright © IBPSA-England, 2014. Abstracting with credit is permitted. Authors are granted permission to post a copy of their paper on their own servers.en_UK
dc.titleApplying Global And Local SA In Identification Of Variables Importance With The Use Of Multi-Objective Optimizationen_UK
dc.typeConference Paperen_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.identifier.urlhttp://www.bso14.org/BSO14_Papers/BSO14_Paper_096.pdfen_UK
dc.author.emailsbr@cs.stir.ac.uken_UK
dc.citation.btitleProceedings of the Building Simulation and Optimization Conference 2014en_UK
dc.citation.conferencedates2014-06-23 - 2014-06-24en_UK
dc.citation.conferencelocationLondon, UKen_UK
dc.citation.conferencenameBuilding Simulation and Optimization 2014en_UK
dc.citation.isbn978-0-9930137-0-6en_UK
dc.publisher.addressLondonen_UK
dc.contributor.affiliationLoughborough Universityen_UK
dc.contributor.affiliationLoughborough Universityen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationLoughborough Universityen_UK
dc.identifier.wtid601979en_UK
dc.contributor.orcid0000-0003-2892-5059en_UK
dcterms.dateAccepted2014-06-24en_UK
dc.date.filedepositdate2015-03-10en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionAMen_UK
local.rioxx.authorWang, Mengchao|en_UK
local.rioxx.authorWright, Jonathan A|en_UK
local.rioxx.authorBrownlee, Alexander|0000-0003-2892-5059en_UK
local.rioxx.authorBuswell, Richard|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.contributorMalki-Epsthein, L|en_UK
local.rioxx.contributorSpataru, C|en_UK
local.rioxx.contributorHalburd, LM|en_UK
local.rioxx.contributorMumovic, D|en_UK
local.rioxx.freetoreaddate2015-03-10en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2015-03-10|en_UK
local.rioxx.filenameBrownlee_BSO14_Paper_096.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source978-0-9930137-0-6en_UK
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