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Journal article
Best practice for electrochemical water desalination data generation and analysis
Cell reports physical science, v 4(11), 101661
15 Nov 2023
Abstract
Electrochemical desalination shows promise for ion-selective, en-ergy-efficient water desalination. This work reviews performance metrics commonly used for electrochemical desalination. We pro-vide 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 rela-tionships between pH, temperature, and conductivity are explored, highlighting their influence on final concentrations. Finally, we pro-vide 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.
Metrics
Details
- Title
- Best practice for electrochemical water desalination data generation and analysis
- Creators
- Mohammad Torkamanzadeh - Leibniz-Institute for New MaterialsCansu Koek - Leibniz-Institute for New MaterialsPeter Rolf Burger - Leibniz-Institute for New MaterialsPanyu Ren - Leibniz-Institute for New MaterialsYuan Zhang - Drexel University, A.J. Drexel Nanomaterials InstituteJuhan Lee - Heraeus (Germany)Choonsoo Kim - Kongju National UniversityVolker Presser - Leibniz-Institute for New Materials
- Publication Details
- Cell reports physical science, v 4(11), 101661
- Publisher
- Elsevier
- Number of pages
- 28
- Grant note
- NRF-2021R1I1A3040360 / Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education; National Research Foundation of Korea; Ministry of Education (MOE), Republic of Korea Alexander von Humboldt Foundation PR -1173/11 / German Research Foundation (DFG, Deutsche Forschungsgemeinschaft) of the MXene-CDI project; German Research Foundation (DFG)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Materials Science and Engineering; College of Engineering; A.J. Drexel Nanomaterials Institute
- Web of Science ID
- WOS:001113875900001
- Scopus ID
- 2-s2.0-85178220406
- Other Identifier
- 991021861303504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Chemistry, Multidisciplinary
- Energy & Fuels
- Materials Science, Multidisciplinary
- Physics, Multidisciplinary