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Dynamic Langmuir Model: A Simpler Approach to Modeling Capacitive Deionization
KTH, School of Engineering Sciences (SCI), Applied Physics.
KTH, School of Engineering Sciences (SCI), Applied Physics.ORCID iD: 0000-0002-0074-3504
2019 (English)In: The Journal of Physical Chemistry C, ISSN 1932-7447, E-ISSN 1932-7455, Vol. 123, no 26, p. 16479-16485Article in journal (Refereed) Published
Abstract [en]

Capacitive deionization (CDI) is emerging as an environment-friendly and energy-efficient water desalination option for meeting the growing global demand for drinking water. It is important to develop models that can predict and optimize the performance of CDI systems with respect to key operational parameters in a simple way. Such models could open up modeling studies to a wider audience by making modeling more accessible to researchers. We have developed the dynamic Langmuir model that can describe CDI in terms of a few fundamental macroscopic properties. Through extensive comparisons with data from the literature, it is shown that the model could describe and predict charge storage, ion adsorption, and charge efficiency for varying input ion concentrations, applied voltages, electrolyte compositions, electrode asymmetries, and electrode precharges in the equilibrium state. We conclude that the model could accurately describe a wide range of key features while being a simpler approach than the commonly applied theories for modeling CDI.

Place, publisher, year, edition, pages
American Chemical Society (ACS), 2019. Vol. 123, no 26, p. 16479-16485
National Category
Environmental Engineering
Research subject
Physics
Identifiers
URN: urn:nbn:se:kth:diva-255144DOI: 10.1021/acs.jpcc.9b04198ISI: 000474796600065Scopus ID: 2-s2.0-85070327043OAI: oai:DiVA.org:kth-255144DiVA, id: diva2:1338277
Note

QC 20190731

Available from: 2019-07-21 Created: 2019-07-21 Last updated: 2019-08-16Bibliographically approved

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Nordstrand, JohanDutta, Joydeep

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