File(s) not publicly available

Reason: This item is currently closed access.

Numerical simulation and optimization of multi-step batch membrane processes

journal contribution
posted on 14.09.2015 by Z. Kovacs, Marco Discacciati, W. Samhaber
A simple numerical technique is presented for batch membrane filtration design. The underlying model accounts for variable solute rejection coefficients, and it has a modular structure which permits to easily describe the batch process involving different arrangements of the three typical basic steps: pre-concentration, dilution mode and final concentration. The experimental design required to set up the model is discussed, together with the necessary sampling procedure. In order to validate the technique, multi-step nanofiltration experiments were carried out using a binary test solution containing organic and inorganic substances. The objective of the process is to remove the electrolyte from the solution and concentrate the organic component. The predictions for the multi-step process performances were found to be in good agreement with the experimental results. Finally, optimum-search techniques for the overall multi-step process are discussed, considering economical aspects and technological demands. The presented optimization procedure can be useful to find the optimum pre-concentration and dilution factors for a membrane plant with a defined module configuration and membrane area.

History

School

  • Science

Department

  • Mathematical Sciences

Published in

Journal of Membrane Science

Volume

324

Issue

1-2

Pages

50 - 58

Citation

KOVACS, Z., DISCACCIATI, M. and SAMHABER, W., 2008. Numerical simulation and optimization of multi-step batch membrane processes. Journal of Membrane Science, 324 (1-2), pp.50-58.

Publisher

© Elsevier

Version

NA (Not Applicable or Unknown)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2008

Notes

This paper is closed access.

ISSN

1873-3123

Language

en

Exports

Logo branding

Exports