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Getting eflcient choices in buildings by using Genetic Algorithms: assessment & validation

2019-07-26Journal article Open access
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dc.contributor.authorSantos, Ricardo
dc.contributor.authorMatias, João
dc.contributor.authorAbreu, António
dc.date.accessioned2020-05-25T14:02:39Z
dc.date.available2020-05-25T14:02:39Z
dc.date.issued2019-07-26
dc.description.abstractThe energy consumption in buildings, can be reduced through a rational choice of the household appliances to be acquired. This choice can be based, on a specific criteria, settled according to the consumer needs. However, such choice, still needs to be optimized, since in general, an efficient equipment has a high investment, although a low energy consumption. Genetic Algorithms (GAs) are used therefore, as an optimization technique, to get efficient and several solutions, based on those pre-selected from the market, and according to a set of criteria. However, there is a need to assess its robustness as well as its consistence in terms of convergence results. The quality of its solutions is also assessed, by comparing GAs results with those, obtained from Simplex method. The problem formulation, and its influence on GAs results, is also considered on this work, where it’s chosen the best one, among four proposed. In this paper it is presented a methodology that allows to promote energy efficiency in buildings, by achieving savings in terms of initial investment, energy consumption and CO2 emissions for the consumer. It is shown that GAs, can provide several and optimal solutions, through formulation and parameters suitable.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSANTOS, Ricardo Simões; MATIAS, João; ABREU, António – Getting eflcient choices in buildings by using genetic algorithms: assessment & validation. Open Engineering. ISSN 2391-5439. Vol. 9, N.º 1 (2019), pp. 229-245pt_PT
dc.identifier.doihttps://doi.org/10.1515/eng-2019-0026pt_PT
dc.identifier.issn2391-5439
dc.identifier.urihttp://hdl.handle.net/10400.21/11704
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherDe Gruyterpt_PT
dc.subjectEnergy efficiencypt_PT
dc.subjectMulti-criteriapt_PT
dc.subjectOptimizationpt_PT
dc.subjectGenetic algorithmspt_PT
dc.subjectSimplexpt_PT
dc.subjectHousehold appliancespt_PT
dc.titleGetting eflcient choices in buildings by using Genetic Algorithms: assessment & validationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage245pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage229pt_PT
oaire.citation.titleOpen Engineeringpt_PT
oaire.citation.volume9pt_PT
person.familyNameSantos
person.familyNameMatias
person.familyNameAbreu
person.givenNameRicardo
person.givenNameJoao
person.givenNameAntónio
person.identifier1829666
person.identifier.ciencia-idC213-A238-5F53
person.identifier.ciencia-idD610-9D89-C48F
person.identifier.ciencia-idF51F-F42E-3D57
person.identifier.orcid0000-0001-5703-8139
person.identifier.orcid0000-0003-4329-6246
person.identifier.orcid0000-0001-8839-5606
person.identifier.ridM-9354-2018
person.identifier.ridT-9007-2017
person.identifier.ridD-3964-2014
person.identifier.scopus-author-id56015094400
person.identifier.scopus-author-id57218315486
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication9d0d968b-bf76-431a-99fe-aeae428faa28
relation.isAuthorOfPublication2e303e99-df37-4381-bf3c-0ab7fc69703c
relation.isAuthorOfPublication.latestForDiscovery2e303e99-df37-4381-bf3c-0ab7fc69703c

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