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Production scheduling considering dynamic electricity price in energy-efficient factories

2020Conference object Open access
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dc.contributor.authorSoares, João
dc.contributor.authorCanizes, Bruno
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.contributor.authorRamos, Carlos
dc.date.accessioned2022-01-14T11:48:13Z
dc.date.available2022-01-14T11:48:13Z
dc.date.issued2020
dc.descriptionThe 1st Virtual IFAC World Congress (IFAC-V 2020)pt_PT
dc.description.abstractFactories account for more than 42% of global energy consumption. In order to contribute to reduce carbon footprint and increase energy efficiency, it is important to optimize the tasks and time of product manufacturing according to the renewable generation and lower prices of the grid but without compromising production quality and output. This paper aims to develop flexible optimization platform for industrial production processes. The proposed production scheduling model is formulated as a 15-minute interval of one week time-span adopting mixed-integer linear optimization model and solved in TOMLAB. The model considers general production constraints for different products and takes into account with the photovoltaic generation of the factory as well as the dynamic price of the grid. The results are compared with a reference case without photovoltaic and where the dynamic price is not considered. The energy cost savings can amount up to 29% or 100 € in the considered example.pt_PT
dc.description.sponsorshipThis work has received funding from Portugal 2020 under SPEARproject (NORTE-01-0247-FEDER-040224) and from FEDER Fundsthrough COMPETE program and from National Funds through(FCT) under the project UIDB/00760/2020, Joao Soares is sup-ported by FCT under CEECIND/02814/2017 grant.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSoares, J., Canizes, B., Faria, P., Vale, Z., & Ramos, C. (2020). Production scheduling considering dynamic electricity price in energy-efficient factories. IFAC-PapersOnLine, 53(2), 12584-12589. https://doi.org/10.1016/j.ifacol.2020.12.1823.pt_PT
dc.identifier.doi10.1016/j.ifacol.2020.12.1823pt_PT
dc.identifier.issn2405-8963
dc.identifier.urihttp://hdl.handle.net/10400.22/19487
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationNORTE-01-0247-FEDER-040224pt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2405896320324344pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/pt_PT
dc.subjectEnergy consumptionpt_PT
dc.subjectEnergy-efficiency factorypt_PT
dc.subjectOptimizationpt_PT
dc.subjectProduction schedulingpt_PT
dc.titleProduction scheduling considering dynamic electricity price in energy-efficient factoriespt_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.endPage12589pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage12584pt_PT
oaire.citation.titleIFAC-PapersOnLinept_PT
oaire.citation.volume53pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSoares
person.familyNameCanizes
person.familyNameFaria
person.familyNameVale
person.familyNameRamos
person.givenNameJoão
person.givenNameBruno
person.givenNamePedro
person.givenNameZita
person.givenNameCarlos
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person.identifier.orcid0000-0002-9808-5537
person.identifier.orcid0000-0002-5982-8342
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person.identifier.orcid0000-0002-5143-1711
person.identifier.ridI-3492-2017
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person.identifier.scopus-author-id7201559105
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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