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dc.contributor.authorSarabia Ortiz, Daniel 
dc.contributor.authorOrtiz Fernández, Mª Cruz 
dc.contributor.authorSarabia Peinador, Luis Antonio 
dc.date.accessioned2022-11-14T11:29:02Z
dc.date.available2022-11-14T11:29:02Z
dc.date.issued2022-11
dc.identifier.issn1999-4893
dc.identifier.urihttp://hdl.handle.net/10259/7127
dc.description.abstractIn this paper, an integrated design of a supermarket refrigeration system has been used to obtain a process with better operability. It is formulated as a multi-objective optimization problem where control performance is evaluated by six indices and the design variables are the number and discrete power of each compressor to be installed. The functional dependence between design and performance is unknown, and therefore the optimal configuration must be obtained through a computational experimentation. This work has a double objective: to adapt the surface response methodology (SRM) to optimize problems without experimental variability as are the computational ones and show the advantage of considering the integrated design. In the SRM framework, the problem is stated as a mixture design with constraints and a synergistic cubic model where a D-optimal design is applied to perform the experiments. Finally, the multi-objective problem is reduced to a single objective one by means of a desirability function. The optimal configuration of the power distribution of the three compressors, in percentage, is (50,20,20). This solution has an excellent behaviour with respect to the six indices proposed, with a significant reduction in time oscillations of controlled variables and power consumption compared with other possible power distributions.en
dc.description.sponsorshipThis research was funded by Spanish MINISTERIO DE CIENCIA E INNOVACION and European Regional Development Funds, grant number PID2021-123654OB-C33.en
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofAlgorithms. 2022, V. 15, n. 11: 417es
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectComputational experimenten
dc.subjectD-optimalen
dc.subjectIntegrated design and controlen
dc.subjectSurrogate modelen
dc.subjectDesirabilityen
dc.subjectExperimental designen
dc.subjectHybrid Model Predictive Controlen
dc.subjectMixtureen
dc.subject.otherMatemáticases
dc.subject.otherMathematicsen
dc.subject.otherIngenieríaes
dc.subject.otherEngineeringen
dc.subject.otherInformáticaes
dc.subject.otherComputer scienceen
dc.titleIntegrated Design of a Supermarket Refrigeration System by Means of Experimental Design Adapted to Computational Problemsen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.3390/a15110417es
dc.identifier.doi10.3390/a15110417
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2021-123654OB-C33/ES/es
dc.identifier.essn1999-4893
dc.journal.titleAlgorithmsen
dc.volume.number15es
dc.issue.number11es
dc.page.initial417es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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