De Jaegher, Bram

De Schepper, W.

Larumbe, Eneko

Nopens, Ingmar

Verliefde, Arne

English

Ghent University Academic Bibliography

MotivationB. De Jaegher1,2,3,4, E. Larumbe1, W. De Schepper1, A. Verliefde3, I. Nopens21VITO – Flemish Institute for Technological Research, Boeretang 200, 2400 Mol, Belgium2BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, 9000 Ghent, Belgium 3PAINT, Department of Applied Analytical and Physical Chemistry, Ghent University, Coupure links 653, 9000 Ghent, Belgium 4CAPTURE, Centre for Advanced Process Technology for Urban Resource recovery, Coupure links 653, 9000 Ghent, BelgiumPREDICTING ELECTRODIALYSIS FOULING: A MODEL-BASED APPROACHState of the art:Beyond state of the art:Electrodialysis applications• Seawater desalination• Desalination of whey • Tartrate removal from wine• . . .• Pretreatment of bio-based streams• Desalination/detoxification of feed stream• Downstream processing of fermentations• Desalination of product streams• Selective extraction of amino acids• In-situ product recovery of organic acids• Excessive fouling• High CIP frequency• Increased energyusageIt is important to predict the fouling rate during electrodialysis as a function of the process settings in order to improve the applicability of electrodialysis in the bio-based industry.Model based designModelling of electrodialysis and foulingBram.DeJaegher@UGent.be Membrane Symposium DGMT 2020ContactResults & MethodologyFlow rate Current density Salt concentration

Predicting electrodialysis fouling : a model-based approach

https://biblio.ugent.be/publication/8659707/file/8659708

Predicting electrodialysis fouling : a model-based approach

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Ghent University Academic Bibliography