Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWang, Mengchao-
dc.contributor.authorWright, Jonathan A-
dc.contributor.authorBrownlee, Alexander-
dc.contributor.authorBuswell, Richard-
dc.contributor.editorMalki-Epsthein, L-
dc.contributor.editorSpataru, C-
dc.contributor.editorHalburd, LM-
dc.contributor.editorMumovic, D-
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.publisherThe Bartlett, UCL Faculty of the Built Environment-
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 LM, Mumovic D (ed.) Proceedings of the Building Simulation and Optimization Conference 2014, London: The Bartlett, UCL Faculty of the Built Environment. Building Simulation and Optimization 2014, 23.6.2014 - 24.6.2014, London, 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.-
dc.titleApplying Global And Local SA In Identification Of Variables Importance With The Use Of Multi-Objective Optimizationen_UK
dc.typeConference Paperen_UK
dc.type.statusBook Chapter: author post-print (pre-copy editing)-
dc.citation.btitleProceedings of the Building Simulation and Optimization Conference 2014-
dc.citation.conferencelocationLondon, UK-
dc.citation.conferencenameBuilding Simulation and Optimization 2014-
dc.contributor.affiliationLoughborough University-
dc.contributor.affiliationLoughborough University-
dc.contributor.affiliationComputing Science - CSM Dept-
dc.contributor.affiliationLoughborough University-
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

Files in This Item:
File Description SizeFormat 
Brownlee_BSO14_Paper_096.pdf664.49 kBAdobe PDFView/Open

This item is protected by original copyright

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.