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Office building participation in demand response programs supported by intelligent lighting management

dc.contributor.authorKhorram Ghahfarrokhi, Mahsa
dc.contributor.authorAbrishambaf, Omid
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-02-24T14:54:10Z
dc.date.available2021-02-24T14:54:10Z
dc.date.issued2018
dc.description.abstractAccording to importance of demand response programs in smart grids and microgrids, many efforts have been made to change the consumption patterns of the users, and the use of renewable resources has also increased. Significant part of energy consumption belongs to buildings such as residential, commercial, and office buildings. Many buildings are equipping with components that can be used for the participation in demand response programs. The SCADA system plays a key role in this context, which enables the building operator to have control and monitor the consumption and generation. This paper presents a real implementation of an optimization based SCADA system, which employs several controlling and monitoring methods in order to manage the consumption and generation of the building for decision support and participating in demand response events. Since the air conditioning devices are suitable controllable appliances for direct load control demand response, and lighting system as flexible loads for reduction and curtailment, they can play a key role in the scope of demand response programs. In this system, several real controller components manage the consumption of lighting system and air conditioning of the building based on an optimization model. In the case study of the paper, the SCADA system is considered as a player of an aggregation model, which is considered as demand response managing entity, and its performance during demand response events will be surveyed. The obtained results show that with adequate small reduction in the lighting system and air conditioning devices, the electricity customers are able to actively participate in the electricity markets using demand response programs and also for internal efficient use of electricity.pt_PT
dc.description.sponsorshipThe present work has been developed under the EUREKA - ITEA2 Project FUSE-IT (ITEA-13023), Project GREEDI (ANI|P202017822) co-funded by Portugal 2020 "Fundo Europeu de Desenvolvimento Regional" (FEDER) through PO CI, and UID/EEA/00760/2013pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1186/s42162-018-0008-4pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/17120
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relationANI|P202017822pt_PT
dc.relationITEA-13023pt_PT
dc.relation.publisherversionhttps://energyinformatics.springeropen.com/articles/10.1186/s42162-018-0008-4pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/pt_PT
dc.subjectDemand responsept_PT
dc.subjectOptimizationpt_PT
dc.subjectSCADApt_PT
dc.subjectAggregationpt_PT
dc.titleOffice building participation in demand response programs supported by intelligent lighting managementpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.issue1pt_PT
oaire.citation.titleEnergy Informaticspt_PT
oaire.citation.volume1pt_PT
oaire.fundingStream5876
person.familyNameKhorram Ghahfarrokhi
person.familyNameAbrishambaf
person.familyNameFaria
person.familyNameVale
person.givenNameMahsa
person.givenNameOmid
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id9719-75D7-B785
person.identifier.ciencia-id7F1A-B942-5BD2
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-0581-2898
person.identifier.orcid0000-0002-4249-8367
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-id57189232486
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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