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Optimizing Lighting in an Office for Demand Response Participation Considering User Preferences

2019-09Documento de conferência Acesso aberto
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dc.contributor.authorKhorram Ghahfarrokhi, Mahsa
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-09-22T13:32:59Z
dc.date.available2021-09-22T13:32:59Z
dc.date.issued2019-09
dc.description.abstractThe world is moving toward demand response programs, energy optimization, and using renewable energy resources more than the past. Buildings are responsible for a significant part of energy consumption and they are considered as suitable cases for reducing energy usage. Therefore, energy management in buildings should be improved. This paper presents a multi-period optimization algorithm with the aim of reducing power consumption of the lights and maintain user comfort. For this purpose, several comfort constraints are considered, and several parameters are defined. The case study of the paper uses real data monitored by an implemented automation infrastructure in a building. Four scenarios are presented to validate the impacts of proposed algorithm. Each scenario surveys different aspects of user comfort constraint and the obtained results illustrate the performance of algorithm.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.doi10.1109/SEST.2019.8849098pt_PT
dc.identifier.isbn978-1-7281-1156-8
dc.identifier.urihttp://hdl.handle.net/10400.22/18477
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationCOLORS - CONTEXTUAL LOAD FLEXIBILITY REMUNERATION STRATEGIES
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8849098pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/pt_PT
dc.subjectEnergy Optimizationpt_PT
dc.subjectOffice Buildingpt_PT
dc.subjectLighting Systempt_PT
dc.subjectUser Comfortpt_PT
dc.titleOptimizing Lighting in an Office for Demand Response Participation Considering User Preferencespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleCOLORS - CONTEXTUAL LOAD FLEXIBILITY REMUNERATION STRATEGIES
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F28967%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT
oaire.citation.conferencePlacePorto, Portugalpt_PT
oaire.citation.title2019 International Conference on Smart Energy Systems and Technologies (SEST)pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStream6817 - DCRRNI ID
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.typeconferenceObjectpt_PT
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