4.6 Article

Comparative study on the performance of capacitive mixing under different operational modes

Journal

ENERGY REPORTS
Volume 8, Issue -, Pages 7325-7335

Publisher

ELSEVIER
DOI: 10.1016/j.egyr.2022.05.245

Keywords

Salinity gradient energy; Capacitive energy extraction; Double layer expansion; CDLE; CDP

Categories

Funding

  1. Swedish Energy Agency (Energimyndigheten), Sweden [44606-1]
  2. China Scholarship Council (CSC)

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This study systematically investigates the behavior and performance of the CapMix system in different operational modes. The results show that additional charging in the CDP technique can significantly improve the system's performance. CDP-CC and CDP-CV are the two superior operational modes in terms of energy production and average power density.
Capacitive mixing (CapMix) is a renewable method of extracting energy from the salinity difference between seawater and freshwater. In this study, we systematically investigate the system behavior and performance of the CapMix system under four operational modes namely, capacitive energy extraction based on double layer expansion (CDLE), capacitive energy extraction based on the Donnan potential (CDP), and CDP with additional charging of constant voltage (CDP-CV) and constant current (CDPCC). The results indicate that the application of additional charging in the CDP technique can break the limits of the Donnan potential and significantly improve the system's performance. Accordingly, in terms of energy production and average power density, CDP-CC and CDP-CV are the two superior operational modes, followed by CDP and CDLE. In addition, our results reveal that CDP-CC is determined by the accumulated charge and applied current. CDLE is dependent on the applied voltage, while CDPCV is not sensitive to the applied voltage. Increasing the external load can considerably increase the energy production of both CDLE and CDP. In summary, the findings in this study provide practical information for the optimization and application of CapMix technologies. (C) 2022 The Author(s). Published by Elsevier Ltd.

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