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Predictable impact of lighting control on the energy consumption of a building through computational simulation

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorBernardo, H.
dc.contributor.authorLeitão, S.
dc.contributor.authorNeves, L.
dc.contributor.authorAmaral, P.
dc.contributor.authorBernardo, Hermano
dc.contributor.authorPires Neves, Luís
dc.date.accessioned2025-04-30T10:51:08Z
dc.date.available2025-04-30T10:51:08Z
dc.date.issued2009-04
dc.descriptionEuropean Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ) Amaral, P. Gata - Scopus ID: 53163102400
dc.description.abstractBuilding energy simulation tools provide accurate predictions of the energetic performance of buildings and thermal comfort of its occupants, allowing an evaluation of the impact of proposed improvement measures, in order to support choice for the more economically viable. This paper aims at determining the energy saving potential that can be obtained by adequate measures and investments. It presents the simulated values of the impact on the energy consumptions of a building, caused by artificial lighting control systems set to maximize use of natural lighting. Results show that optimization measures have a significant impact on energy consumptions reduction, and lead to important economical savings.eng
dc.description.sponsorshipThe authors would like to acknowledge the facilities provided by ESTG-IPL.
dc.identifier.citationBernardo, H.; Leitão, S.; Neves, L.; Amaral, P. (2009). Predictable Impact of Lighting Control on the Energy Consumption of a Building through Computational Simulation. Renewable Energy and Power Quality Journal. 1. https://doi.org/10.24084/repqj07.534.
dc.identifier.doi10.24084/repqj07.534
dc.identifier.issn2172-038X
dc.identifier.urihttp://hdl.handle.net/10400.8/12839
dc.language.isoeng
dc.peerreviewedyes
dc.publisherUK Zhende Publishing Ltd and European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ)
dc.relation.hasversionhttps://repqj.com/index.php/repqj/issue/view/62
dc.relation.ispartofRenewable Energy and Power Quality Journal
dc.rights.uriN/A
dc.subjectEnergy efficiency in buildings
dc.subjectenergy simulation tools
dc.subjectlighting
dc.titlePredictable impact of lighting control on the energy consumption of a building through computational simulationeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage884
oaire.citation.issue7
oaire.citation.startPage881
oaire.citation.titleRenewable Energy and Power Quality Journal
oaire.citation.volume1
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameBernardo
person.familyNamePires Neves
person.givenNameHermano
person.givenNameLuís
person.identifier.ciencia-id591E-30D4-2C97
person.identifier.orcid0000-0002-5290-6424
person.identifier.orcid0000-0002-2600-5622
person.identifier.scopus-author-id34977315800
relation.isAuthorOfPublicationc58ec34e-5fbf-41cc-ae25-716ad0abb964
relation.isAuthorOfPublication5315d446-6d51-4d95-aeaa-72b6a44a4838
relation.isAuthorOfPublication.latestForDiscoveryc58ec34e-5fbf-41cc-ae25-716ad0abb964

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Building energy simulation tools provide accurate predictions of the energetic performance of buildings and thermal comfort of its occupants, allowing an evaluation of the impact of proposed improvement measures, in order to support choice for the more economically viable. This paper aims at determining the energy saving potential that can be obtained by adequate measures and investments. It presents the simulated values of the impact on the energy consumptions of a building, caused by artificial lighting control systems set to maximize use of natural lighting. Results show that optimization measures have a significant impact on energy consumptions reduction, and lead to important economical savings.
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