Dynamic Optimization and Non-linear Model Predictive Control to Achieve Targeted Particle Morphologies

Gerlinger, Wolfgang; Asua González, José María; Chaloupka, Tomas; Faust, Johannes M.M.; Gjertsen, Fredrik; Hamzehlou, Shaghayegh; Olav Hauger, Svein; Jahns, Ekkehard; Joy, Preet J.; Kosek, Juraj; Lapkin, Alexei; Leiza Recondo, José Ramón; Mhamdi, Adel; Mitsos, Alexander; Naeem, Omar; Rajabalinia, Noushin; Singstad, Peter; Suberu, John

dc.contributor.author	Gerlinger, Wolfgang
dc.contributor.author	Asua González, José María
dc.contributor.author	Chaloupka, Tomas
dc.contributor.author	Faust, Johannes M.M.
dc.contributor.author	Gjertsen, Fredrik
dc.contributor.author	Hamzehlou, Shaghayegh
dc.contributor.author	Olav Hauger, Svein
dc.contributor.author	Jahns, Ekkehard
dc.contributor.author	Joy, Preet J.
dc.contributor.author	Kosek, Juraj
dc.contributor.author	Lapkin, Alexei
dc.contributor.author	Leiza Recondo, José Ramón
dc.contributor.author	Mhamdi, Adel
dc.contributor.author	Mitsos, Alexander
dc.contributor.author	Naeem, Omar
dc.contributor.author	Rajabalinia, Noushin
dc.contributor.author	Singstad, Peter
dc.contributor.author	Suberu, John
dc.date.accessioned	2019-05-20T09:13:51Z
dc.date.available	2019-05-20T09:13:51Z
dc.date.issued	2019-03
dc.identifier.citation	Chemie Ingenieur Technik 91(3) : 323-335 (2019)	es_ES
dc.identifier.issn	0009-286X
dc.identifier.issn	1522-2640
dc.identifier.uri	http://hdl.handle.net/10810/32865
dc.description.abstract	An event-driven approach based on dynamic optimization and nonlinear model predictive control (NMPC) is investigated together with inline Raman spectroscopy for process monitoring and control. The benefits and challenges in polymerization and morphology monitoring are presented, and an overview of the used mechanistic models and the details of the dynamic optimization and NMPC approach to achieve the relevant process objectives are provided. Finally, the implementation of the approach is discussed, and results from experiments in lab and pilot-plant reactors are presented.	es_ES
dc.description.sponsorship	The research leading to these results has received funding from the European Research Council under the European Union's H2020 Grant Agreement No. 636820. The authors would also like to acknowledge contribution of other partners of the RECOBA project: Prof. Andrew Flewitt and Dr Mario De Miguel Ramos (Centre for Advanced Photonics and Electronics, University of Cambridge), Dr Caterina Ducati (Department of Materials Science and Metallurgy, University of Cambridge), Mr Nicholas Jose (Department of Chemical Engineering and Biotechnology, University of Cambridge).	es_ES
dc.language.iso	eng	es_ES
dc.publisher	Wiley	es_ES
dc.rights	info:eu-repo/semantics/openAccess	es_ES
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	*
dc.subject	dynamic optimization	es_ES
dc.subject	emulsion polymerization	es_ES
dc.subject	nonlinear model predictive control	es_ES
dc.subject	particle morphology	es_ES
dc.subject	pilot-plant reactor test	es_ES
dc.subject	process monitoring	es_ES
dc.subject	Raman-spectroscopy	es_ES
dc.title	Dynamic Optimization and Non-linear Model Predictive Control to Achieve Targeted Particle Morphologies	es_ES
dc.type	info:eu-repo/semantics/article	es_ES
dc.rights.holder	This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)	es_ES
dc.rights.holder	Atribución-NoComercial-SinDerivadas 3.0 España	*
dc.relation.publisherversion	https://onlinelibrary.wiley.com/doi/abs/10.1002/cite.201800118	es_ES
dc.identifier.doi	10.1002/cite.201800118
dc.departamentoes	Química aplicada	es_ES
dc.departamentoeu	Kimika aplikatua	es_ES

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This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

Excepto si se señala otra cosa, la licencia del ítem se describe como This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)