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Theoretical power density from salinity gradients using reverse electrodialysis

Open access
Vermaas, David A., Guler, Enver, Saakes, Michel, Nijmeijer, Kitty·2012·Energy Procedia

Abstract

Reverse electrodialysis (RED) is a technology to generate power from mixing waters with different salinity. The net power density (i.e. power per membrane area) is determined by 1) the membrane potential, 2) the ohmic resistance, 3) the resistance due to changing bulk concentrations, 4) the boundary layer resistance and 5) the power required to pump the feed water. Previous power density estimations often neglected the latter three terms. This paper provides a set of analytical equations to estimate the net power density obtainable from RED stacks with spacers and RED stacks with profiled membranes. With the current technology, the obtained maximum net power density is calculated at 2.7 W/m 2 . Higher power densities could be obtained by changing the cell design, in particular the membrane resistance and the cell length. Changing these parameters one and two orders of magnitude respectively, the calculated net power density is close to 20 W/m 2 .

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Metadata

Authors
Vermaas, D. A., Guler, E., Saakes, M., & Nijmeijer, K.
Venue
Energy Procedia
Publisher
Elsevier BV
Published
2012
Volume
20
Pages
170-184
ISSN
1876-6102 (ISSN-L)
OpenAlex
W2050751277
Cited by
197
References
0
FWCI
28.92
Type
conference paper
Language
en
Open access
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CoChat. (2026). Citation check: Theoretical power density from salinity gradients using reverse electrodialysis. https://app.cochat.ai/papers/10.1016/j.egypro.2012.03.018
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Vermaas, D. A., Guler, E., Saakes, M., & Nijmeijer, K. (2012). Theoretical power density from salinity gradients using reverse electrodialysis. Energy Procedia. https://doi.org/10.1016/j.egypro.2012.03.018

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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