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Load Shifting Implementation in a Laundry Room under Demand Response Program

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dc.contributor.authorKhorram Ghahfarrokhi, Mahsa
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-03-08T12:46:25Z
dc.date.available2021-03-08T12:46:25Z
dc.date.issued2020
dc.description.abstractIn order to overcome the consequences of high energy consumption, renewable energy resources advancement, smart grids development, and demand response programs effectiveness should be noticed and surveyed. Regarding the important role of buildings in energy consumption, another important factor is equipping the buildings and houses with automation. For this purpose, this paper presents an optimization algorithm based on demand response program which is concerning about time of use for ancillary service and also is based on energy price in different periods. In the case study of this paper, the power consumption of two washing machines and one dryer are considered to achieve the demand response program goal. Since it is not reasonable to use dryer before washing machines, the sequence of operation cycle of devices is important for the algorithm. The obtained results of the algorithm show the applied load shifting based on energy price, demand response requirements and remunerationpt_PT
dc.description.sponsorshipThis work has received funding from Portugal 2020 under SPEAR project (NORTE-01-0247-FEDER-040224) and from FEDER Funds through COMPETE program and from National Funds through (FCT) under the project UIDB/00760/2020, and CEECIND/02887/2017.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/EEEIC/ICPSEurope49358.2020.9160672pt_PT
dc.identifier.isbn978-1-7281-7455-6
dc.identifier.urihttp://hdl.handle.net/10400.22/17297
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationCEECIND/02887/2017pt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9160672pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectDemand responsept_PT
dc.subjectBuildingspt_PT
dc.subjectLoad shiftingpt_PT
dc.subjectTime of Usept_PT
dc.subjectOptimizationpt_PT
dc.subjectRstudiopt_PT
dc.titleLoad Shifting Implementation in a Laundry Room under Demand Response Programpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT
oaire.citation.conferencePlaceMadrid, Spainpt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)pt_PT
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.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication37496d99-b654-4316-9051-c9e39ee07c75
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
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