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Numerical simulation and optimization of multi-step batch membrane processes
journal contribution
posted on 2015-09-14, 09:12 authored by Z. Kovacs, Marco DiscacciatiMarco Discacciati, W. SamhaberA 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 ScienceVolume
324Issue
1-2Pages
50 - 58Citation
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
© ElsevierVersion
- 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
2008Notes
This paper is closed access.ISSN
1873-3123Publisher version
Language
- en