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dc.contributor.authorPablos de la Fuente, Cristian 
dc.contributor.authorMerino, Alejandro
dc.contributor.authorAcebes Arconada, Luis Felipe 
dc.date.accessioned2022-10-19T12:15:59Z
dc.date.available2022-10-19T12:15:59Z
dc.date.issued2019
dc.identifier.citationProcesses, 2019, vol. 7, n. 4, 218es
dc.identifier.issn2227-9717es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/56015
dc.descriptionProducción Científicaes
dc.description.abstractMany production processes work with on-site Combined Heat and Power (CHP) systems to reduce their operational cost and improve their incomes by selling electricity to the external grid. Optimal management of these plants is key in order to take full advantage of the possibilities offered by the different electricity purchase or selling options. Traditionally, this problem is not considered for small cogeneration systems whose electricity generation cannot be decided independently from the main process production rate. In this work, a non-linear gray-box model is proposed in order to deal with this dynamic optimization problem in a simulated sugar factory. The validation shows that with only 52 equations, the whole system behavior is represented correctly and, due to its structure and small size, it can be adapted to any other production process working along a CHP with the same plant configuration.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherMDPIes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleModeling on-site combined heat and power systems coupled to main process operationes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2019 The Authorses
dc.identifier.doi10.3390/pr7040218es
dc.relation.publisherversionhttps://www.mdpi.com/2227-9717/7/4/218es
dc.peerreviewedSIes
dc.description.projectMinisterio de Ciencia, Innovación y Universidades - Fondo Social Europeo (grant BES-2016-079388)es
dc.description.projectJunta de Castilla y Leon - Fondo Europeo de Desarrollo Regional (grant CLU 2017-09)es
dc.rightsAtribución 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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