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dc.contributor.authorBenavides, Pahola T.
dc.contributor.authorDiwekar, Urmila
dc.date.accessioned2012-08-20T04:43:28Z
dc.date.available2012-08-20T04:43:28Z
dc.date.issued2012-04
dc.identifier.bibliographicCitationBenavides, P. T. & Diwekar, U. 2012. Optimal control of biodiesel production in a batch reactor Part II: Stochastic control. Fuel, 94(1): 218-226. http://dx.doi.org/10.1016/j.fuel.2011.08.033en
dc.identifier.issn0016-2361
dc.identifier.otherhttp://dx.doi.org/10.1016/j.fuel.2011.08.033
dc.identifier.urihttp://hdl.handle.net/10027/8579
dc.descriptionNOTICE: this is the author’s version of a work that was accepted for publication in Fuel. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Fuel, [Vol 94, Issue 1, (April 2012)] http://dx.doi.org/10.1016/j.fuel.2011.08.033en
dc.description.abstractThe determination of time‐varying profiles through dynamic optimization is an exclusive characteristic of optimal control problems; however, these types of problems become more challenging when variability and uncertainty in any parameter is included. In biodiesel production, there are inherent uncertainties arising due to variation in initial composition, operating parameters, and mechanical equipment design that can have a significant impact on the product quantity, quality and process economics. Thus, one of the most influential uncertainties in this process is the feed composition since the percentage and type of triglycerides in biodiesel composition varies considerable. In this work, the optimal control for biodiesel production in a batch reactor developed in part 1 is extended to a problem when uncertainty in the feed composition is considerable. Under control of reactor temperature, we applied a numerical method, based on the steepest Ascent of Hamiltonian to solve the stochastic optimal control problem that involved the application of Ito processes and the stochastic maximum principle. It has been found that the temperature profile obtained using deterministic optimal control is robust in the face of feed composition uncertainties also.en
dc.language.isoen_USen
dc.publisherElsevieren
dc.titleOptimal control of biodiesel production in a batch reactor Part II: Stochastic control.en
dc.typeArticleen


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