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Processes 2016, 4(4), 43; doi:10.3390/pr4040043

Combined Estimation and Optimal Control of Batch Membrane Processes

1
Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinskeho 9, 81237 Bratislava, Slovakia
2
Department of Chemical and Biochemical Engineering, Technische Universität Dortmund, Emil-Figge-Strasse 70, 44221 Dortmund, Germany
3
Laboratoire Réactions et Génie des Procédés, CNRS-ENSIC, Université de Lorraine, 1 rue Grandville, 54001 Nancy, France
*
Author to whom correspondence should be addressed.
Academic Editor: Dominique Bonvin
Received: 13 October 2016 / Revised: 8 November 2016 / Accepted: 10 November 2016 / Published: 18 November 2016
(This article belongs to the Special Issue Real-Time Optimization)
View Full-Text   |   Download PDF [423 KB, uploaded 18 November 2016]   |  

Abstract

In this paper, we deal with the model-based time-optimal operation of a batch diafiltration process in the presence of membrane fouling. Membrane fouling poses one of the major problems in the field of membrane processes. We model the fouling behavior and estimate its parameters using various methods. Least-squares, least-squares with a moving horizon, recursive least-squares methods and the extended Kalman filter are applied and discussed for the estimation of the fouling behavior on-line during the process run. Model-based optimal non-linear control coupled with parameter estimation is applied in a simulation case study to show the benefits of the proposed approach. View Full-Text
Keywords: batch diafiltration; membrane fouling; time-optimal operation; fouling estimation batch diafiltration; membrane fouling; time-optimal operation; fouling estimation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Jelemenský, M.; Pakšiová, D.; Paulen, R.; Latifi, A.; Fikar, M. Combined Estimation and Optimal Control of Batch Membrane Processes. Processes 2016, 4, 43.

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