Numerical prediction of pressure drop and flow characteristics of activated carbon and salt-water for flow-electrode capacitive mixing (F-CapMix)
In flow-electrode capacitive mixing (F-CapMix), prediction of the flow characteristics and pressure drop of the flow-electrode is important as it pertains to both efficient charge percolation and electron transport of activated carbons in the flow-electrode, as well as the net power of F-CapMix. In...
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Veröffentlicht in: | Desalination 2023-03, Vol.550, p.116382, Article 116382 |
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Sprache: | eng |
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Zusammenfassung: | In flow-electrode capacitive mixing (F-CapMix), prediction of the flow characteristics and pressure drop of the flow-electrode is important as it pertains to both efficient charge percolation and electron transport of activated carbons in the flow-electrode, as well as the net power of F-CapMix. In this study, the flow characteristics and pressure drop of activated carbon and salt-water within the flow-electrode of F-CapMix are predicted by applying numerical simulations, when the channel depth for the flow-electrode is changed from 0.5 mm to 2.5 mm. The numerical simulation was validated by comparing the experimental results of pressure drop measurements of the flow-electrode. To analyze the variables related to electron transfer between the activated carbon and the current collector, the particle wall normal pressure was numerically calculated. As the channel depth for the flow-electrode decreased by 0.5 mm, the pressure exerted by the activated carbon particle on the wall increased by 32.92 % on average. Consequently, the power density of F-CapMix increased to 14.03 % owing to the elevated pressure at the wall. Predicting the behavior of activated carbon and the pressure drop through numerical simulation is a key step for the designing of the flow channel for the F-CapMix.
•Numerical analysis of salt water flow and activated carbon in F-CapMix flow-electrode•Pressure drop prediction of the flow-electrode by Dense Discrete Phase Model (DDPM)•F-CapMix power density correlated with behavior of activated carbon particles.•Activated carbon behavior analysis in the flow-electrode integral to predictions |
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ISSN: | 0011-9164 1873-4464 |
DOI: | 10.1016/j.desal.2023.116382 |