|Appears in Collections:
|Computing Science and Mathematics Conference Papers and Proceedings
|Peer Review Status:
Wright, Jonathan A
|Applying Global And Local SA In Identification Of Variables Importance With The Use Of Multi-Objective Optimization
|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. 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.pdf
|Building Simulation and Optimization 2014
|2014-06-23 - 2014-06-24
|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.
|AM - Accepted Manuscript
|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.
|Fulltext - Accepted Version
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