LAPSE:2018.0194
Published Article
LAPSE:2018.0194
Combined Estimation and Optimal Control of Batch Membrane Processes
July 30, 2018
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.
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.
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Keywords
batch diafiltration, fouling estimation, membrane fouling, time-optimal operation
Subject
Suggested Citation
Jelemenský M, Pakšiová D, Paulen R, Latifi A, Fikar M. Combined Estimation and Optimal Control of Batch Membrane Processes. (2018). LAPSE:2018.0194
Author Affiliations
Jelemenský M: Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinskeho 9, 81237 Bratislava, Slovakia
Pakšiová D: Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinskeho 9, 81237 Bratislava, Slovakia
Paulen R: Department of Chemical and Biochemical Engineering, Technische Universität Dortmund, Emil-Figge-Strasse 70, 44221 Dortmund, Germany [ORCID]
Latifi A: Laboratoire Réactions et Génie des Procédés, CNRS-ENSIC, Université de Lorraine, 1 rue Grandville, 54001 Nancy, France
Fikar M: Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinskeho 9, 81237 Bratislava, Slovakia [ORCID]
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Pakšiová D: Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinskeho 9, 81237 Bratislava, Slovakia
Paulen R: Department of Chemical and Biochemical Engineering, Technische Universität Dortmund, Emil-Figge-Strasse 70, 44221 Dortmund, Germany [ORCID]
Latifi A: Laboratoire Réactions et Génie des Procédés, CNRS-ENSIC, Université de Lorraine, 1 rue Grandville, 54001 Nancy, France
Fikar M: Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinskeho 9, 81237 Bratislava, Slovakia [ORCID]
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Journal Name
Processes
Volume
4
Issue
4
Article Number
E43
Year
2016
Publication Date
2016-11-18
ISSN
2227-9717
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Original Submission
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PII: pr4040043, Publication Type: Journal Article
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LAPSE:2018.0194
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https://doi.org/10.3390/pr4040043
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Jul 30, 2018
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