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Applying global and local SA in identification of variables importance with the use of multi-objective optimization

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conference contribution
posted on 25.04.2014, 12:56 by Mengchao Wang, Jonathan Wright, Alexander E.I. Brownlee, Richard Buswell
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.

History

School

  • Architecture, Building and Civil Engineering

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.

Publisher

© IBPSA-England, 2014

Version

AM (Accepted Manuscript)

Publication date

2014

Notes

This is a conference paper. The conference website is at: http://www.bso14.org/

Language

en

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