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A Case Study for a Smart City Energy Management Resources

2017-03Conference object Open access
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dc.contributor.authorCanizes, Bruno
dc.contributor.authorPinto, Tiago
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.contributor.authorChamoso, Pablo
dc.contributor.authorSantos, Daniel
dc.date.accessioned2021-02-19T17:34:07Z
dc.date.available2021-02-19T17:34:07Z
dc.date.issued2017-03
dc.description.abstractA physical smart city model environment is used to presents the demonstration of an energy resources management approach. The demand for smart cities has been created by several factors from the governments, society and industry. Thus, smart grids focus on the intelligent management of energy resources in order to maximize the usage of the energy from renewable sources in order to the final consumers feel the positive effects of less expensive (and pollutant) energy sources, namely in their energy bills. A large amount of work is being developed in the energy resources management domain, but an effective and realistic experimentation are still missing. This paper presents a realistic and physical experimentation of the energy resource management. This is done by using a physical smart city model, which includes several consumers, generation units, and electric vehicles.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 DREAM-GO) and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013. Bruno Canizes is supported by FCT Funds through the SFRH/BD/110678/2015 PhD scholarship.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/17068
dc.language.isoengpt_PT
dc.publisherUniversity of Salamancapt_PT
dc.relationDecision support for smart grid planning and operation considering reliability and all available resources
dc.relation.publisherversionhttp://dream-go.ipp.pt/PDF/DREAM-GO_2nd-Workshop_ProceedingsD7.3.pdfpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectEnergy resource managementpt_PT
dc.subjectOptimizationpt_PT
dc.subjectPhysical modelspt_PT
dc.subjectSmart gridpt_PT
dc.subjectSmart citiespt_PT
dc.titleA Case Study for a Smart City Energy Management Resourcespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleDecision support for smart grid planning and operation considering reliability and all available resources
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F110678%2F2015/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.conferencePlaceSalamanca, Spainpt_PT
oaire.citation.titleDREAM-GO 2nd Whorshop: Real-time demand response and intelligent direct load controlpt_PT
oaire.fundingStream5876
person.familyNameCanizes
person.familyNamePinto
person.familyNameSoares
person.familyNameVale
person.givenNameBruno
person.givenNameTiago
person.givenNameJoão
person.givenNameZita
person.identifierR-000-T7J
person.identifier1043580
person.identifier632184
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person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridI-3492-2017
person.identifier.ridT-2245-2018
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35408699300
person.identifier.scopus-author-id35219107600
person.identifier.scopus-author-id35436109600
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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