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Object-Oriented Modeling of a Capacitive Deionization Process

Lenz, Magdalena; Wagner, Robin; Hack, Ellen; Franzreb, Matthias ORCID iD icon


The process of capacitive deionization (CDI) is a cost effective and energy efficient method that offers many opportunities in terms of desalination of brackish water and the removal of ionic contaminants. Current research focusses on evaluating different influence parameters to make the CDI process more competitive to other commercially available methods like reverse osmosis, direct distillation or ion exchange. CDI is based on the adsorption of ions to highly porous electrodes by applying an external voltage difference. Although, remarkable progress in CDI modeling has been achieved during the past decade, so far, only few models exist which fully describe the CDI process and which predict the cell behavior in all its aspects, including e.g., performance under constant voltage and/or constant current control or pH effects including water dissociation. However, in this paper a new approach to CDI modeling is presented, which opens a path to fast and easy implementation of a digital depiction of complex CDI setups having e.g., multiple cells. The model is based on the object-oriented modeling language Modelica that enables the simulation and prediction of the behavior of complete CDI cells by combining chemical, electrochemical and electrical components. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000118016
Veröffentlicht am 03.04.2020
DOI: 10.3389/fceng.2020.00003
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Funktionelle Grenzflächen (IFG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 2673-2718
KITopen-ID: 1000118016
HGF-Programm 47.02.06 (POF III, LK 01) Zellpopul.auf Biofunk.Oberflächen IFG
Erschienen in Frontiers in Chemical Engineering
Band 2
Seiten Article: 3
Vorab online veröffentlicht am 03.04.2020
Schlagwörter capacitive deionization, object-oriented modeling, process simulation, pH effect, water treatment, electrochemical process simulation
Nachgewiesen in Dimensions
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