Please use this identifier to cite or link to this item: doi:10.22028/D291-41261
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Title: Best practice for electrochemical water desalination data generation and analysis
Author(s): Torkamanzadeh, Mohammad
Kök, Cansu
Burger, Peter Rolf
Ren, Panyu
Zhang, Yuan
Lee, Juhan
Kim, Choonsoo
Presser, Volker
Language: English
Title: Cell Reports Physical Science
Volume: 4
Issue: 11
Publisher/Platform: Elsevier
Year of Publication: 2023
Free key words: capacitive deionization
water desalination
electrochemistry
desalination batteries
electrochemical water remediation
ion selectivity
DDC notations: 620 Engineering and machine engineering
Publikation type: Journal Article
Abstract: Electrochemical desalination shows promise for ion-selective, energy-efficient water desalination. This work reviews performance metrics commonly used for electrochemical desalination. We provide a step-by-step guide on acquiring, processing, and calculating raw desalination data, emphasizing informative and reliable figures of merit. A typical experiment uses calibrated conductivity probes to relate measured conductivity to concentration. Using a standard electrochemical desalination cell with activated carbon electrodes, we demonstrate the calculation of desalination capacity, charge efficiency, energy consumption, and ion selectivity metrics. We address potential pitfalls in performance metric calculations, including leakage current (charge) considerations and aging of conductivity probes, which can lead to inaccurate results. The relationships between pH, temperature, and conductivity are explored, highlighting their influence on final concentrations. Finally, we provide a checklist for calculating performance metrics and planning electrochemical desalination tests to ensure accuracy and reliability. Additionally, we offer simplified spreadsheet tools to aid data processing, system design, estimations, and upscaling.
DOI of the first publication: 10.1016/j.xcrp.2023.101661
URL of the first publication: https://www.sciencedirect.com/science/article/pii/S2666386423004848
Link to this record: urn:nbn:de:bsz:291--ds-412619
hdl:20.500.11880/37316
http://dx.doi.org/10.22028/D291-41261
ISSN: 2666-3864
Date of registration: 28-Feb-2024
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Materialwissenschaft und Werkstofftechnik
Professorship: NT - Prof. Dr. Volker Presser
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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