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dc.contributor.authorPahija, E.*
dc.contributor.authorManenti, F.*
dc.contributor.authorMujtaba, Iqbal M.*
dc.date.accessioned2016-10-07T14:38:03Z
dc.date.available2016-10-07T14:38:03Z
dc.date.issued2013
dc.identifier.citationPahija E, Manenti F and Mujtaba IM (2013) Selecting the best control methodology to improve the efficiency of discontinuous reactors. Computer Aided Chemical Engineering. 32: 805-810.
dc.identifier.urihttp://hdl.handle.net/10454/9706
dc.descriptionNo
dc.description.abstractThis work investigates in detail several methodologies to improve the optimal control of discontinuous processes. It shows that whenever a batch dynamic optimization is solved, the optimum is related to the control methodology adopted and the result is a sub-optimum since other more (or apparently less!) appealing control methodologies might lead to "better" optimal solutions. The selection of the best control methodology for the dynamic optimization is broached for batch reactors using gPROMS models builder 3.5.2 for dynamic modeling and BzzMath 6.0 optimizers to handle control and optimization issues.
dc.relation.isreferencedbyhttps://doi.org/10.1016/B978-0-444-63234-0.50135-4
dc.subjectBatch reactor
dc.subject; Control methodologies
dc.subject; GMC
dc.subject; Dynamic optimization
dc.subject; Batch reactors
dc.subject; Optimisation
dc.subject; Performance
dc.titleSelecting the best control methodology to improve the efficiency of discontinuous reactors
dc.status.refereedYes
dc.typeArticle
dc.type.versionNo full-text available in the repository


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