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Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level

2020Book part Open access
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dc.contributor.authorKhorram Ghahfarrokhi, Mahsa
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-01-29T15:09:50Z
dc.date.available2021-01-29T15:09:50Z
dc.date.issued2020
dc.description.abstractDue to the high penetration of the buildings in energy consumption, the use of optimization algorithms plays a key role. Therefore, all the producers and prosumers should be equipped with the automation infrastructures as well as intelligent decision algorithms, in order to perform the management programs, like demand response. This paper proposes a multi-period optimization algorithm implemented in a multi-agent Supervisory Control and Data Acquisition system of an office building. The algorithm optimizes the lighting power consumption of the building considering the user comfort constraints. A case study is implemented in order to validate and survey the performance of the implemented optimization algorithm using real consumption data of the building. The outcomes of the case study show the great impact of the user comfort constraints in the optimization level by respect to the office user’s preferences.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the following projects: COLORS Project PTDC/EEI-EEE/28967/2017 and UID/EEA/00760/2019 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.doi10.1007/978-3-030-23946-6_3pt_PT
dc.identifier.isbn978-3-030-23946-6
dc.identifier.urihttp://hdl.handle.net/10400.22/16798
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relationCOLORS - CONTEXTUAL LOAD FLEXIBILITY REMUNERATION STRATEGIES
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-030-23946-6_3pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectMulti-period optimizationpt_PT
dc.subjectSCADApt_PT
dc.subjectUser comfortpt_PT
dc.subjectOffice buildingpt_PT
dc.titleLighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Levelpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardTitleCOLORS - CONTEXTUAL LOAD FLEXIBILITY REMUNERATION STRATEGIES
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F28967%2F2017/PT
oaire.citation.endPage28pt_PT
oaire.citation.startPage20pt_PT
oaire.citation.titleAdvances in Intelligent Systems and Computingpt_PT
oaire.citation.volume1004pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream9471 - RIDTI
person.familyNameKhorram Ghahfarrokhi
person.familyNameFaria
person.familyNameVale
person.givenNameMahsa
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id9719-75D7-B785
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-0581-2898
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id57201796142
person.identifier.scopus-author-id7004115775
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.typebookPartpt_PT
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