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dc.contributor.authorMarcos, María Paloma
dc.contributor.authorPitarch Pérez, José Luis 
dc.contributor.authorPrada Moraga, César de 
dc.contributor.authorJasch, Christian
dc.date.accessioned2018-11-23T14:40:09Z
dc.date.available2018-11-23T14:40:09Z
dc.date.issued2018
dc.identifier.citationIEEE 22nd International Conference on System Theory, Control and Computing (ICSTCC). Sinaia, 2018, p.591-596es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/32898
dc.descriptionProducción Científicaes
dc.description.abstractThis work deals with the problem of distribution of cooling water in an evaporation process. The aim is to develop a Real-Time optimisation (RTO) tool which improves the resource efficiency by supplying the optimal water distribution within a surface-condensers network for a given production demand. The approach includes experimental models and the automatic update of fouling factor. The problem is formulated and solved via nonlinear programming. Production constraints and concerns about the practical implementation are also taken into account in the design of the RTO tool.es
dc.format.extent6 p.es
dc.format.mimetypeapplication/pdfes
dc.language.isospaes
dc.publisherIEEEes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectOptimizaciónes
dc.subjectModelling methodologyes
dc.subjectIndustria 4.0es
dc.subject.classificationblack-box modellinges
dc.subject.classificationRTOes
dc.subject.classificationevaporation plantes
dc.subject.classificationwater distributiones
dc.titleModelling and real-time optimisation of an industrial cooling-water networkes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.rights.holder© 2018 IEEE
dc.identifier.doi10.1109/ICSTCC.2018.8540655es
dc.relation.publisherversionhttps://doi.org/10.1109/ICSTCC.2018.8540655es
dc.title.event22nd International Conference on System Theory, Control and Computing (ICSTCC 2018)es
dc.description.projectEU H2020 grant agreement No. 723575es
dc.description.projectMINECO-FEDER grant DPI2015-70975-Pes
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/723575
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International


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