Hybrid simulation-optimization based approach for the optimal design of single-product biotechnological processes

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dc.contributor.authorBrunet, Robert
dc.contributor.authorGuillen Gosalbez, Gonzalo
dc.contributor.authorRicardo Perez Correa, J.
dc.contributor.authorAntonio Caballero, Jose
dc.contributor.authorJimenez, Laureano
dc.date.accessioned2024-01-10T12:39:29Z
dc.date.available2024-01-10T12:39:29Z
dc.date.issued2012
dc.description.abstractIn this work, we present a systematic method for the optimal development of bioprocesses that relies on the combined use of simulation packages and optimization tools. One of the main advantages of our method is that it allows for the simultaneous optimization of all the individual components of a bioprocess, including the main upstream and downstream units. The design task is mathematically formulated as a mixed-integer dynamic optimization (MIDO) problem, which is solved by a decomposition method that iterates between primal and master sub-problems. The primal dynamic optimization problem optimizes the operating conditions, bioreactor kinetics and equipment sizes, whereas the master levels entails the solution of a tailored mixed-integer linear programming (MILP) model that decides on the values of the integer variables (i.e., number of equipments in parallel and topological decisions). The dynamic optimization primal sub-problems are solved via a sequential approach that integrates the process simulator SuperPro Designer (R) with an external NLP solver implemented in Matlab (R). The capabilities of the proposed methodology are illustrated through its application to a typical fermentation process and to the production of the amino acid L-lysine. (C) 2011 Elsevier Ltd. All rights reserved.
dc.description.funderSpanish Ministry of Education and Science
dc.description.funderSpanish Ministry of External Affairs
dc.fechaingreso.objetodigital2024-03-26
dc.format.extent11 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.compchemeng.2011.07.013
dc.identifier.issn0098-1354
dc.identifier.urihttps://doi.org/10.1016/j.compchemeng.2011.07.013
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/77198
dc.identifier.wosidWOS:000300812600012
dc.information.autorucIngeniería;Perez J;S/I;100130
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final135
dc.pagina.inicio125
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.revistaCOMPUTERS & CHEMICAL ENGINEERING
dc.rightsacceso restringido
dc.subjectHybrid simulation-optimization
dc.subjectMixed-integer dynamic optimization
dc.subjectBiotechnological processes
dc.subjectL-Lysine
dc.subjectINTEGER DYNAMIC OPTIMIZATION
dc.subjectMINLP OPTIMIZATION
dc.subjectBATCH
dc.subjectALGORITHMS
dc.subjectREACTORS
dc.subjectMODELS
dc.titleHybrid simulation-optimization based approach for the optimal design of single-product biotechnological processes
dc.typeartículo
dc.volumen37
sipa.codpersvinculados100130
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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