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CFD prediction of concentration polarization phenomena in spacer-filled channels for reverse electrodialysis

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Gurreri, L., Tamburini, A., Cipollina, A., Micale, G., Ciofalo, M.·2014·Journal of Membrane Science

Abstract

Abstract Salinity Gradient Power generation through Reverse Electrodialysis (SGP-RE) is a promising technology to convert the chemical potential difference of a salinity gradient into electric energy. In SGP-RE systems, as in most membrane processes, concentration polarization phenomena may affect the theoretical driving force and thus the performance of the process. Operating conditions, including the feed solution flow rate and concentration and the channels׳ geometrical configuration, may greatly influence both the polarization effect and the pumping energy consumption. The present work uses CFD to investigate the dependence of concentration polarization and pressure drop on flow rate, feeds concentration, current density and spacer features. Concentration polarization effects were found to be significant at low feed solution concentration (river water), but only secondary at higher concentrations (seawater and brine), thus suggesting that different optimization strategies should be employed depending on the feeds concentration. The features that a spacer-filled channel should possess for high efficiency and high current density SGP-RE applications were identified.

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Metadata

Authors
Gurreri, L., Tamburini, A., Cipollina, A., Micale, G., & Ciofalo, M.
Venue
Journal of Membrane Science
Publisher
Elsevier BV
Published
2014-10
Volume
468
Pages
133-148
ISSN
0376-7388 (ISSN-L)
OpenAlex
W1994194205
Cited by
167
References
0
FWCI
6.62
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: CFD prediction of concentration polarization phenomena in spacer-filled channels for reverse electrodialysis. https://app.cochat.ai/papers/10.1016/j.memsci.2014.05.058
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Gurreri, L., Tamburini, A., Cipollina, A., Micale, G., & Ciofalo, M. (2014). CFD prediction of concentration polarization phenomena in spacer-filled channels for reverse electrodialysis. Journal of Membrane Science. https://doi.org/10.1016/j.memsci.2014.05.058

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.