Please use this identifier to cite or link to this item:
Volltext verfügbar? / Dokumentlieferung
doi:10.22028/D291-41261
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 |
Files for this record:
There are no files associated with this item.
This item is licensed under a Creative Commons License