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A modeling strategy for integrated batch process development based on mixed-logic dynamic optimization
dc.contributor.author | Moreno Benito, Marta |
dc.contributor.author | frankl, kathrin |
dc.contributor.author | Espuña Camarasa, Antonio |
dc.contributor.author | Marquardt, Wolfgang |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Química |
dc.date.accessioned | 2017-01-18T09:25:30Z |
dc.date.available | 2018-11-02T01:30:16Z |
dc.date.issued | 2016-11-02 |
dc.identifier.citation | Moreno, M., frankl, K., Espuña, A., Marquardt, W. A modeling strategy for integrated batch process development based on mixed-logic dynamic optimization. "Computers & chemical engineering", 2 Novembre 2016, vol. 94, p. 287-311. |
dc.identifier.issn | 0098-1354 |
dc.identifier.uri | http://hdl.handle.net/2117/99564 |
dc.description.abstract | This paper introduces an optimization-based approach for the simultaneous solution of batch process synthesis and plant allocation, with decisions like the selection of chemicals, process stages, task-unit assignments, operating modes, and optimal control profiles, among others. The modeling strategy is based on the representation of structural alternatives in a state-equipment network (SEN) and its formulation as a mixed-logic dynamic optimization (MLDO) problem. Particularly, the disjunctive multistage modeling strategy by Oldenburg and Marquardt (2008) is extended to combine and organize single-stage and multistage models for representing the sequence of continuous and batch units in each structural alternative and for synchronizing dynamic profiles in input and output operations with material transference. Two numerical examples illustrate the application of the proposed methodology, showing the enhancement of the adaptability potential of batch plants and the improvement of global process performance thanks to the quantification of interactions between process synthesis and plant allocation decisions. |
dc.format.extent | 25 p. |
dc.language.iso | eng |
dc.publisher | Pergamon Press |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria química |
dc.subject.lcsh | Chemical industries |
dc.subject.lcsh | Chemical processes |
dc.subject.other | Batch process synthesis |
dc.subject.other | plant allocation |
dc.subject.other | dynamic optimization |
dc.subject.other | generalized disjunctive programming |
dc.subject.other | synchronization |
dc.subject.other | multistage modeling |
dc.title | A modeling strategy for integrated batch process development based on mixed-logic dynamic optimization |
dc.type | Article |
dc.subject.lemac | Indústria química |
dc.subject.lemac | Fàbriques de productes químics |
dc.subject.lemac | Processos químics |
dc.contributor.group | Universitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering |
dc.identifier.doi | 10.1016/j.compchemeng.2016.07.030 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S0098135416302502 |
dc.rights.access | Open Access |
local.identifier.drac | 19288770 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Moreno, M.; frankl, K.; Espuña, A.; Marquardt, W. |
local.citation.publicationName | Computers & chemical engineering |
local.citation.volume | 94 |
local.citation.startingPage | 287 |
local.citation.endingPage | 311 |
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