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Consumption Optimization of an Office Building using Different Approaches

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dc.contributor.authorKhorram Ghahfarrokhi, Mahsa
dc.contributor.authorFaria, Pedro
dc.contributor.authorAbrishambaf, Omid
dc.contributor.authorVale, Zita
dc.date.accessioned2019-11-22T15:57:19Z
dc.date.embargo2119
dc.date.issued2018
dc.description.abstractDue to the increment of electricity demand in different types of buildings, the methods of energy optimization are important. Lighting systems play a key role in the electricity consumption since they are appropriate for use in optimization purposes. There are several approaches for solving optimization problems, so several simulations should be performed in order to identify the best approach. This paper focuses on three optimization approaches in order to solve an optimization problem developed for the lighting system of an office building. The optimization methodologies are particle swarm optimization as a heuristic method and OMPR and Lpsolve as two deterministic methods. A case study is presented in order to evaluate and compare the performance of the methods and identify the most suitable approach for the lighting optimization problem in the office building.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/SSCI.2018.8628690pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/14938
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relationUID/EEA/00760/2013 - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (147448)pt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8628690pt_PT
dc.subjectLighting Optimizationpt_PT
dc.subjectHeuristicpt_PT
dc.subjectPSO Deterministicpt_PT
dc.subjectSCADApt_PT
dc.subjectMulti-Agent Systemspt_PT
dc.titleConsumption Optimization of an Office Building using Different Approachespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBengaluru, (Bangalore) India, 18-21 November 2018pt_PT
oaire.citation.endPage1638pt_PT
oaire.citation.startPage1634pt_PT
oaire.citation.title2018 IEEE Symposium Series on Computational Intelligence (SSCI)pt_PT
person.familyNameKhorram Ghahfarrokhi
person.familyNameFaria
person.familyNameAbrishambaf
person.familyNameVale
person.givenNameMahsa
person.givenNamePedro
person.givenNameOmid
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id9719-75D7-B785
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id7F1A-B942-5BD2
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-0581-2898
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4249-8367
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id57201796142
person.identifier.scopus-author-id57189232486
person.identifier.scopus-author-id7004115775
rcaap.rightsembargoedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
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relation.isAuthorOfPublication.latestForDiscovery37496d99-b654-4316-9051-c9e39ee07c75

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