Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/21571
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Wang, Mengchao
Wright, Jonathan A
Brownlee, Alexander
Buswell, Richard
Contact Email: sbr@cs.stir.ac.uk
Title: Applying Global And Local SA In Identification Of Variables Importance With The Use Of Multi-Objective Optimization
Editors: Malki-Epsthein, L
Spataru, C
Halburd, LM
Mumovic, D
Citation: Wang 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, Malki-Epsthein L, Spataru C, Halburd LM, Mumovic D (ed.) Proceedings of the Building Simulation and Optimization Conference 2014, Building Simulation and Optimization 2014, London, UK, 23.6.2014 - 24.6.2014, London: The Bartlett, UCL Faculty of the Built Environment.
Issue Date: 24-Jun-2014
Conference Name: Building Simulation and Optimization 2014
Conference Dates: 2014-06-23T00:00:00Z
Conference Location: London, UK
Abstract: Methods 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.
Type: Conference Paper
Status: Book Chapter: author post-print (pre-copy editing)
Rights: Copyright © 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.
URI: http://hdl.handle.net/1893/21571
URL: http://www.bso14.org/BSO14_Papers/BSO14_Paper_096.pdf
Affiliation: Loughborough University
Loughborough University
Computing Science - CSM Dept
Loughborough University

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