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Sequential Tasks Shifting for Participation in Demand Response Programs

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dc.contributor.authorKhorram Ghahfarrokhi, Mahsa
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.contributor.authorRamos, Carlos
dc.date.accessioned2021-03-04T17:58:49Z
dc.date.available2021-03-04T17:58:49Z
dc.date.issued2020
dc.description.abstractIn this paper, the proposed methodology minimizes the electricity cost of a laundry room by means of load shifting. The laundry room is equipped with washing machines, dryers, and irons. Additionally, the optimization model handles demand response signals, respecting user preferences while providing the required demand reduction. The sequence of devices operation is also modeled, ensuring correct operation cycles of different types of devices which are not allowed to overlap or have sequence rules. The implemented demand response program specifies a power consumption limit in each period and offers discounts for energy prices as incentives. In addition, users can define the required number of operations for each device in specific periods, and the preferences regarding the operation of consecutive days. In the case study, results have been obtained regarding six scenarios that have been defined to survey about effects of different energy tariffs, power limitations, and incentives, in a laundry room equipped with three washing machines, two dryers, and one iron. A sensitivity analysis of the power consumption limit is presented. The results show that the proposed methodology is able to accommodate the implemented scenario, respecting user preferences and demand response program, minimizing energy costs. The final electricity price has been calculated for all scenarios to discuss the more effective schedule in each scenario.pt_PT
dc.description.sponsorshipThis work has received funding from Portugal 2020 under SPEAR project (NORTE-01-0247-FEDER-040224), in the scope of ITEA 3 SPEAR Project 16001 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.doi10.3390/en13184879pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/17284
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/1996-1073/13/18/4879pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/pt_PT
dc.subjectDemand responsept_PT
dc.subjectTime of usept_PT
dc.subjectElectricity tariffspt_PT
dc.subjectLoad shiftingpt_PT
dc.subjectLoad schedulingpt_PT
dc.titleSequential Tasks Shifting for Participation in Demand Response Programspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceSpecial Issue Selected Papers from 20 IEEE International Conference on Environment and Electrical Engineering (EEEIC 2020)pt_PT
oaire.citation.issue18pt_PT
oaire.citation.startPage4879pt_PT
oaire.citation.titleEnergiespt_PT
oaire.citation.volume13pt_PT
person.familyNameKhorram Ghahfarrokhi
person.familyNameFaria
person.familyNameVale
person.familyNameRamos
person.givenNameMahsa
person.givenNamePedro
person.givenNameZita
person.givenNameCarlos
person.identifier632184
person.identifier.ciencia-id9719-75D7-B785
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-id1011-FAFC-AEBA
person.identifier.orcid0000-0002-0581-2898
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0002-5143-1711
person.identifier.ridA-5824-2012
person.identifier.ridK-7403-2014
person.identifier.scopus-author-id57201796142
person.identifier.scopus-author-id7004115775
person.identifier.scopus-author-id7201559105
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication37496d99-b654-4316-9051-c9e39ee07c75
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
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relation.isAuthorOfPublication43ef055e-80e6-4b31-8400-2d3592927e03
relation.isAuthorOfPublication.latestForDiscovery43ef055e-80e6-4b31-8400-2d3592927e03

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