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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/14523

Title: Applying global and local SA in identification of variables importance with the use of multi-objective optimization
Authors: Wang, Mengchao
Wright, Jonathan A.
Brownlee, Alexander E.I.
Buswell, Richard A.
Issue Date: 2014
Publisher: © IBPSA-England, 2014
Citation: WANG, M. ... et al., 2014. Applying global and local SA in identification of variables importance with the use of multi-objective optimization . IN: Proceedings of BSO 14 Building Simulation and Optimisation, Second IBPSA-England Conference in association with CIBSE, 23-24 June 2014, London, UK, 8pp.
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.
Description: This is a conference paper. The conference website is at: http://www.bso14.org/
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/14523
Publisher Link: http://www.bso14.org/BSO14_Papers/BSO14_Paper_096.pdf
Appears in Collections:Conference Papers (Civil and Building Engineering)

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