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dc.contributor.authorCapón García, Elisabet
dc.contributor.authorGuillén Gosálbez, Gonzalo
dc.contributor.authorEspuña Camarasa, Antonio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2013-11-15T11:26:17Z
dc.date.created2013-10
dc.date.issued2013-10
dc.identifier.citationCapon-Garcia, E.; Guillen-Gosalbez, G.; Espuña, A. Integrating process dynamics within batch process scheduling via mixed-integer dynamic optimization. "Chemical engineering science", Octubre 2013, vol. 102, p. 139-150.
dc.identifier.issn0009-2509
dc.identifier.urihttp://hdl.handle.net/2117/20622
dc.description.abstractDuring batch process scheduling, products' batch size, processing conditions as well as operating times are usually established offline and considered out of the scope of the decision making stage. In practice, process dynamics may vary from the ones forecasted, in such a manner that the predicted optimal conditions will not be the best in practice. As a result of this mismatch, the plant usually operates under sub-optimal conditions, but if the process is flexible, its processing conditions can still be adapted to the actual plant needs in order to improve the overall performance. Given this situation, there is a strong motivation for developing models and optimization tools to fully integrate process dynamics into batch scheduling. In this work, the potential of directly including control variables with time varying values and variable batch sizes in the scheduling of batch plants is explored. The optimization of process dynamics, which is time varying, along with scheduling tasks is accomplished using rigorous mixed-integer dynamic optimization techniques. Through several examples, we show that integrating both decision-making levels can lead to significant economic savings.
dc.format.extent12 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria química
dc.subject.otherOptimization
dc.subject.otherMathematical modeling
dc.subject.otherBatch
dc.subject.otherProcess systems
dc.subject.otherScheduling
dc.subject.otherDynamic optimization
dc.titleIntegrating process dynamics within batch process scheduling via mixed-integer dynamic optimization
dc.typeArticle
dc.subject.lemacProcessos químics
dc.subject.lemacIndústria química
dc.contributor.groupUniversitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering
dc.identifier.doi10.1016/j.ces.2013.07.039
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0009250913005320
dc.rights.accessRestricted access - publisher's policy
drac.iddocument12795340
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorCapon-Garcia, E.; Guillen-Gosalbez, G.; Espuña, A.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameChemical engineering science
upcommons.citation.volume102
upcommons.citation.startingPage139
upcommons.citation.endingPage150


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain