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|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
|Description: ||This is a conference paper. The conference website is at: http://www.bso14.org/|
|Version: ||Accepted for publication|
|Publisher Link: ||http://www.bso14.org/BSO14_Papers/BSO14_Paper_096.pdf|
|Appears in Collections:||Conference Papers (Architecture, Building and Civil Engineering)|
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