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Energy efficiency in buildings by using evolutionary algorithms: an approach to provide efficiency choices to the consumer, considering the rebound effect

2018Conference object Restricted access
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dc.contributor.authorSantos, Ricardo
dc.contributor.authorMatias, João
dc.contributor.authorAbreu, António
dc.date.accessioned2019-04-30T07:41:39Z
dc.date.available2019-04-30T07:41:39Z
dc.date.issued2018
dc.description.abstractEnergy efficiency can be achieved, by making optimal choices of household appliances, based on specific rules for consumption and use. However, it's not always possible to achieve good solutions, since in general, an efficient equipment, with an economic consumption savings during his life cycle, is usually an expensive one, with a high initial investment. Additionally, the interaction of these choices, associated with consumer behavior, could lead toward to efficient losses during the lifecycle of the equipment, and then to a situation of indirect rebound effect. In this work, it is presented an approach, applied to the residential buildings, by using evolutionary algorithms to support consumer decisions. The approach presented here, could promote energy efficiency by providing the consumer with several optimal and feasible solutions, and at the same time, with information about the impact of his choices made on future.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSANTOS, Ricardo; MATIAS, J. C. O.; ABREU, António – Energy efficiency in buildings by using evolutionary algorithms: an approach to provide efficiency choices to the consumer, considering the rebound effect. In Technological Innovation for Resilient Systems (DoCEIS 2018). Costa da Caparica, Portugal: IFIP – Int. Federation Information Processing, 2018. ISSN 1868-4238. Vol. 521, pp. 120-129pt_PT
dc.identifier.doi10.1007/978-3-319-78574-5_12pt_PT
dc.identifier.issn1868-4238
dc.identifier.issn1868-422X
dc.identifier.urihttp://hdl.handle.net/10400.21/9905
dc.language.isoengpt_PT
dc.publisherIFIP – Int. Federation Information Processingpt_PT
dc.subjectEnergy efficiencypt_PT
dc.subjectEvolutionary algorithmspt_PT
dc.subjectLife cycle cost analysispt_PT
dc.subjectIndirect rebound effectpt_PT
dc.titleEnergy efficiency in buildings by using evolutionary algorithms: an approach to provide efficiency choices to the consumer, considering the rebound effectpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceMay 02-04, 2018 - Costa da Caparica, Portugalpt_PT
oaire.citation.endPage129pt_PT
oaire.citation.startPage120pt_PT
oaire.citation.title9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS)pt_PT
oaire.citation.volume521pt_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.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication9312aee8-32f1-4907-966d-be2dc485f975
relation.isAuthorOfPublication9d0d968b-bf76-431a-99fe-aeae428faa28
relation.isAuthorOfPublication2e303e99-df37-4381-bf3c-0ab7fc69703c
relation.isAuthorOfPublication.latestForDiscovery2e303e99-df37-4381-bf3c-0ab7fc69703c

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