2017 21st International Conference on Process Control (PC)

Optimal Operation of Nanofilter Based Diafiltration Processes Using Experimental Permeation Models

A. Sharma, M. Jelemenský, R. Paulen, M. Fikar
Slovak University of Technology in Bratislava

Abstract

In this paper, a choice of models for optimal control strategy is discussed for batch membrane processes. The system of lactose and salt in water is studied with the separation aim be- ing concentration of lactose and simultaneous removal of salt. The most crucial part of the model is dependence of permeation rate on concentrations of components. Two models from literature and one data-based model are fitted to experimental data. An optimal control problem (OCP) is formulated to minimize processing time using diluant-to-permeate flow ratio as the control input. The optimal control strategy is found analytically and verified using numerical methods of dynamic optimization. The resulting processing times and the optimal input profiles are compared between all the models. Simulation case study confirms the attractiveness of the proposed approach.

Full paper

010.pdf

Session

Process Optimisation (Poster)

Reference

Sharma, A.; Jelemenský, M.; Paulen, R.; Fikar, M.: Optimal Operation of Nanofilter Based Diafiltration Processes Using Experimental Permeation Models. Editors: Fikar, M. and Kvasnica, M., In Proceedings of the 2017 21st International Conference on Process Control (PC), Štrbské Pleso, Slovakia, June 6 – 9, 185–190, 2017.

BibTeX
@inProceedings{pc2017-010,
author = {Sharma, A. and Jelemensk\'y, M. and Paulen, R. and Fikar, M.},
title = {Optimal Operation of Nanofilter Based Diafiltration Processes Using Experimental Permeation Models},
booktitle = {Proceedings of the 2017 21st International Conference on Process Control (PC)},
year = {2017},
pages = {185-190},
editor = {Fikar, M. and Kvasnica, M.},
address = {\v{S}trbsk\'e Pleso, Slovakia}}
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