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Home energy management systems with branch-and-bound model-based predictive control techniques

2021-09Journal article Open access
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dc.contributor.authorBot, Karol
dc.contributor.authorHabou Laouali, Inoussa
dc.contributor.authorRuano, Antonio
dc.contributor.authorRuano, Maria
dc.date.accessioned2021-10-07T14:58:20Z
dc.date.available2021-10-07T14:58:20Z
dc.date.issued2021-09
dc.description.abstractAt a global level, buildings constitute one of the most significant energy-consuming sectors. Current energy policies in the EU and the U.S. emphasize that buildings, particularly those in the residential sector, should employ renewable energy and storage and efficiently control the total energy system. In this work, we propose a Home Energy Management System (HEMS) by employing a Model-Based Predictive Control (MBPC) framework, implemented using a Branch-and-Bound (BAB) algorithm. We discuss the selection of different parameters, such as time-step, to employ prediction and control horizons and the effect of the weather in the system performance. We compare the economic performance of the proposed approach against a real PV-battery system existing in a household equipped with several IoT devices, concluding that savings larger than 30% can be obtained, whether on sunny or cloudy days. To the best of our knowledge, these are excellent values compared with existing solutions available in the literature.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/en14185852pt_PT
dc.identifier.eissn1996-1073
dc.identifier.urihttp://hdl.handle.net/10400.1/17200
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation72581/2020
dc.relationAssociate Laboratory of Energy, Transports and Aeronautics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectHome energy management systemspt_PT
dc.subjectBuilding energypt_PT
dc.subjectModel-based predictive controlpt_PT
dc.subjectBranch-and-bound algorithmpt_PT
dc.subjectSensitivity analysispt_PT
dc.subjectPhotovoltaicspt_PT
dc.subjectBatterypt_PT
dc.titleHome energy management systems with branch-and-bound model-based predictive control techniquespt_PT
dc.title.alternativeSistemas de gerenciamento de energia residencial com técnicas de controle preditivo baseadas em modelos baseados em ramificações e vinculadaspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAssociate Laboratory of Energy, Transports and Aeronautics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50022%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de Projetos de Investigação Científica e Desenvolvimento Tecnológico nos domínios Prioritários do Turismo, das Energias Renováveis e TIC - Programa Operacional do Algarve - 2018/SAICT-ALG%2F39578%2F2018/PT
oaire.citation.issue18pt_PT
oaire.citation.startPage5852pt_PT
oaire.citation.titleEnergiespt_PT
oaire.citation.volume14pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamConcurso de Projetos de Investigação Científica e Desenvolvimento Tecnológico nos domínios Prioritários do Turismo, das Energias Renováveis e TIC - Programa Operacional do Algarve - 2018
person.familyNameHABOU LAOUALI
person.familyNameRuano
person.familyNameRuano
person.givenNameInoussa
person.givenNameAntonio
person.givenNameMaria
person.identifier.ciencia-id3B19-9F1C-E2F1
person.identifier.ciencia-id9811-A0DD-D5A5
person.identifier.orcid0000-0001-5904-2166
person.identifier.orcid0000-0002-6078-6813
person.identifier.orcid0000-0002-6308-8666
person.identifier.orcid0000-0002-0014-9257
person.identifier.ridB-4135-2008
person.identifier.ridA-8321-2011
person.identifier.scopus-author-id7004284159
person.identifier.scopus-author-id7004483805
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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