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dc.contributor.authorTaveres-Cachat, Ellika
dc.contributor.authorGoia, Francesco
dc.date.accessioned2020-12-07T14:16:57Z
dc.date.available2020-12-07T14:16:57Z
dc.date.created2020-12-03T08:34:02Z
dc.date.issued2020
dc.identifier.issn0360-1323
dc.identifier.urihttps://hdl.handle.net/11250/2712244
dc.description.abstractOptimization in buildings has been increasingly popular due to its growing availability and documented ability to improve the performance of building designs following specified targets. However, the quality and robustness of optimized solutions may be dependent on how the optimization problem is formulated, and few studies have investigated the impact of modelling choices or optimization strategies. This study presents a simulation-based investigation of the impact of problem formulation in building design optimization using the case study of a PV integrated shading device (PVSD) and an evolutionary algorithm. For this, we modify both the size of the solution space and how it is searched using three different approaches to define the objective function(s): singleobjective optimization, bi-objective optimization, and tri-objective optimization. The results show that increasing the size of the solution space provided better designs compared to both a full factorial parametric analysis and an optimized but more rigid model, regardless of the nature and number of objectives. The findings support the idea that exploring the impact of problem formulation may be an important part of the process of optimization in buildings and allows obtaining more insight into the tradeoffs at play and the workings of a selected optimization study.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleExploring the impact of problem formulation in numerical optimization: A case study of the design of PV integrated shading systemsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.journalBuilding and Environmenten_US
dc.identifier.doi10.1016/j.buildenv.2020.107422
dc.identifier.cristin1855594
dc.relation.projectNorges forskningsråd: 255252en_US
dc.description.localcodeDOI:10.1016/j.buildenv.2020.107422 Available online 4 November 2020 0360-1323/© 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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