Reducing power losses caused by ionic shortcut currents in reverse electrodialysis stacks by a validated model
By J. Veerman, J. Post, M. Saakes, S. J. Metz, G. J. Harmsen. 2008
238 citations recorded by the source corpus.
Both in electrodialysis and in reverse electrodialysis ionic shortcut currents through feed and drain channels cause a considerable loss in efficiency. Model calculations based on an equivalent electric system of a reverse electrodialysis stack reveal that the effect of these salt bridges could be reduced via a proper stack design. The critical parameters which are to be optimized are rho/r and R/r, where rho is the lateral resistance along the spacers, R is the resistance of the feed and drain channels between two adjacent cells, and r is the internal resistance of a cell. Because these two parameters are dimensionless, different stacks can be easily compared. The model is validated with two experimental stacks differing in membrane type and spacer thickness, one with large ionic shortcut currents and one where this effect is less. The loss in efficiency decreased from 25 to 5% for a well-designed stack. The loss of efficiency in reverse electrodialysis and in electrodialysis can be reduced with the aid of the design parameters presented in this paper. (C) 2007 Elsevier B.V. All rights reserved.
Subfields: Biomedical Engineering, Pulmonary and Respiratory Medicine, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/8dca11e399fee0e7c018df46db5a8db13d372e36
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In Biomedical Engineering
In Pulmonary and Respiratory Medicine
In Water Science and Technology
Citations in the corpus
- Nanocomposite reverse electrodialysis (RED) ion-exchange membranes for salinity gradient power generation (2014, background): “This electronic current and the potential difference over the electrodes can be used to generate electricity, when an external load or any form of energy consumer is connected to the system [10,11].”
- Nernst-Planck transport theory for (reverse) electrodialysis: II. Effect of water transport through ion-exchange membranes (2016, background): “Stack-level modeling is of importance to identify hydraulic leakage between cells [10], non-uniform flow distribution [11], and parasitic currents in the manifolds [12], but will not be discussed here.”
- Reverse electrodialysis: Modelling and performance analysis based on multi-objective optimization (2018, methodology): “[20] presented a model for the ionic shortcut currents in a RED stack whose effect could be reduced via a proper stack design.”