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dc.contributor.authorPitarch Pérez, José Luis 
dc.contributor.authorKalliski, Marc
dc.contributor.authorGómez Palacín, Carlos
dc.contributor.authorJasch, Christian
dc.contributor.authorPrada Moraga, César de 
dc.date.accessioned2018-05-07T10:31:11Z
dc.date.available2018-05-07T10:31:11Z
dc.date.issued2017
dc.identifier.citationHilario López. XXXVIII CEA Jornadas de Automática. Gijón: Universidad de Oviedo, 2017, p.575-581es
dc.identifier.isbn978-84-16664-74-0es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/29488
dc.descriptionProducción Científicaes
dc.description.abstractThis work presents a decision-support tool to address the model-based optimization approach for online load allocation and scheduling of cleaning operations in an evaporation network. The aim is improving the resource efficiency by supplying the optimal solution for a given production goal. The approach includes the semi-automatic update of evaporator models, which is based on historical data for minimal modelling effort. The structure of the problem is formulated via mixed-integer programming and integrated into the plant supervision systems. Production constraints, concerns about the practical implementation and visualization preferences are also taken into account in the design of the prototypical tool.es
dc.format.extent7 p.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherUniversidad de Oviedoes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject.classificationintegrationes
dc.subject.classificationdecision supportes
dc.subject.classificationvisualizationes
dc.subject.classificationevaporation networkes
dc.subject.classificationsurrogate modeles
dc.subject.classificationresource efficiencyes
dc.titleOnline decision support for an evaporation networkes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.rights.holderCEAes
dc.relation.publisherversionhttp://hdl.handle.net/10651/46833es
dc.title.eventXXXVIII Jornadas de Automáticaes
dc.description.projectMINECO/FEDER Grant DPI2015-70975 (INOPTCON)es
dc.description.projectEU H2020-SPIRE Grant Agreement nº 723575 (CoPro)es
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/723575
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International


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