Repository logo
 
Publication

Direct Load Control Demand Response Program for Air Conditioners

2018-01Conference object Open access
Simple item page
dc.contributor.authorKhorram Ghahfarrokhi, Mahsa
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-02-19T17:00:56Z
dc.date.available2021-02-19T17:00:56Z
dc.date.issued2018-01
dc.description.abstractAccording to importance of demand response programs in last decades, 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 the entire kinds of the buildings such as residential, commercial, and office buildings. In this context, the air conditioners can play an important role in demand response programs. Air conditioners can be as thermostatically controllable appliances for direct load control demand response program. In this paper, an optimization algorithm is developed to optimize the power consumption of air conditioners based on the user preferences to maintain the user comfort. The methodology of this work is proposed as a linear optimization problem that consider the generation of a renewable energy resource, which supplies a part of the energy consumption of the building. For the case study, the amount of the renewable energy generation, total consumption of building, and the consumption of the air conditioners in a real research building are considered and the optimization has been done based on the realistic data.pt_PT
dc.description.sponsorshipThis work has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAMGO) and from FEDER Funds through COMPETE program and from National Funds through FCT, under the project UID/EEA/00760/2013.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/17059
dc.language.isoengpt_PT
dc.publisherInstituto Politécnico do Porto. Instituto Superior de Engenhariapt_PT
dc.relation.publisherversionhttp://dream-go.ipp.pt/PDF/DREAM-GO_3rd-Workshop_Proceedings_D7.4pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectDemand responsept_PT
dc.subjectDirect load controlpt_PT
dc.subjectRenewable energypt_PT
dc.subjectOptimizationpt_PT
dc.titleDirect Load Control Demand Response Program for Air Conditionerspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.conferencePlacePorto, Portugalpt_PT
oaire.citation.titleDREAM-GO 3rd Whorshop: Intelligent load management in local and wholesale demand response marketspt_PT
oaire.fundingStream5876
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
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isProjectOfPublication237af9d5-70ed-4e45-9f10-3853d860255e
relation.isProjectOfPublication.latestForDiscovery237af9d5-70ed-4e45-9f10-3853d860255e

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
COM_GECAD_ZitaVale_2018_6.pdf
Size:
496.4 KB
Format:
Adobe Portable Document Format
Download

Collections

ISEP – GECAD – Comunicações em eventos científicos