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dc.creatorMonedero Goicoechea, Iñigo Luises
dc.creatorBiscarri Triviño, Félixes
dc.creatorLeón de Mora, Carloses
dc.creatorGuerrero Alonso, Juan Ignacioes
dc.date.accessioned2018-07-09T09:02:30Z
dc.date.available2018-07-09T09:02:30Z
dc.date.issued2012
dc.identifier.citationMonedero Goicoechea, I.L., Biscarri Triviño, F., León de Mora, C. y Guerrero Alonso, J.I. (2012). An Expert System to Improve the Energy Efficiency of the Reaction Zone of a Petrochemical Plant. En SOFA 2012: 5th International Workshop on Soft Computing Applications (511-520), Szeged, Hungary: Springer.
dc.identifier.isbn978-3-642-33940-0es
dc.identifier.issn2194-5357es
dc.identifier.urihttps://hdl.handle.net/11441/77015
dc.description.abstractEnergy is the most important cost factor in the petrochemical industry. Thus, energy efficiency improvement is an important way to reduce these costs and to increase predictable earnings, especially in times of high energy price volatility. This work describes the development of an expert system for the improvement of this efficiency of the reaction zone of a petrochemical plant. This system has been developed after a data mining process of the variables registered in the plant. Besides, a kernel of neural networks has been embedded in the expert system. A graphical environment integrating the proposed system was developed in order to test the system. With the application of the expert system, the energy saving on the applied zone would have been about 20%.es
dc.description.sponsorshipJunta de Andalucía TIC-5705es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofSOFA 2012: 5th International Workshop on Soft Computing Applications (2012), p 511-520
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEnergy efficiencyes
dc.subjectPetrochemical plantes
dc.subjectData mininges
dc.subjectExpert systemes
dc.titleAn Expert System to Improve the Energy Efficiency of the Reaction Zone of a Petrochemical Plantes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Tecnología Electrónicaes
dc.relation.projectIDTIC-5705es
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-642-33941-7_45es
dc.identifier.doi10.1007/978-3-642-33941-7_45es
idus.format.extent10es
dc.publication.initialPage511es
dc.publication.endPage520es
dc.eventtitleSOFA 2012: 5th International Workshop on Soft Computing Applicationses
dc.eventinstitutionSzeged, Hungaryes
dc.relation.publicationplaceBerlínes
dc.contributor.funderJunta de Andalucía

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