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Mass transfer behavior in electrode and battery performance analysis of organic flow battery
[Control system design for micro-tubular solid oxide fuel cells]

Author

Listed:
  • Fengming Chu
  • Wen Lu
  • Dailong Zhai
  • Guozhen Xiao
  • Guoan Yang

Abstract

The organic flow battery is one of most potential electrochemical energy storage technologies due to the huge potential and cheapness. The mass transfer performance is one of the main barriers to limit the development. The species distribution and transport process in the electrode is influenced by the geometric characteristic of electrode. A novel numerical model for the organic redox flow battery is built, and this model is verified by the experiments. The results show that the mass transfer and battery performances are influenced by the electrode thickness significantly. Taking the ohmic loss into consideration, the optimal electrode thickness is 1.5 mm. The rising of electrode channel depth significantly reduces the discharge voltage. When the channel depth is 4 mm, the uniformity factor is lowest. The rising of the initial concentration can promote the battery performance and uniformity factor. The positive active species concentration leads to the bigger influence. This work can contribute to the industrial application of the organic flow battery.

Suggested Citation

  • Fengming Chu & Wen Lu & Dailong Zhai & Guozhen Xiao & Guoan Yang, 2022. "Mass transfer behavior in electrode and battery performance analysis of organic flow battery [Control system design for micro-tubular solid oxide fuel cells]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 494-505.
    • Handle: RePEc:oup:ijlctc:v:17:y:2022:i::p:494-505.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctac026
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    References listed on IDEAS

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    1. Tsang-I Tsai & Shangfeng Du & Peter Fisher & Kevin Kendall & Robert Steinberger-Wilckens, 2015. "Control system design for micro-tubular solid oxide fuel cells," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 10(4), pages 441-445.
    2. Banghua Du & Zhang Yu & Shuhao Yi & Yanlin He & Yulin Luo, 2021. "State-of-charge estimation for second-life lithium-ion batteries based on cell difference model and adaptive fading unscented Kalman filter algorithm," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(3), pages 927-939.
    3. Yu Xiao & Jinliang Yuan & Bengt Sundén, 2012. "Modeling of micro/meso-scale reactive transport phenomena in catalyst layers of proton exchange membrane fuel cells," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 7(4), pages 280-287, April.
    4. Xu, Q. & Zhao, T.S. & Leung, P.K., 2013. "Numerical investigations of flow field designs for vanadium redox flow batteries," Applied Energy, Elsevier, vol. 105(C), pages 47-56.
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    Cited by:

    1. Xiao, Guozhen & Yang, Guoan & Zhao, Sixiang & Xia, Lixing & Chu, Fengming & Tan, Zhan'ao, 2022. "Battery performance optimization and multi-component transport enhancement of organic flow battery based on channel section reconstruction," Energy, Elsevier, vol. 258(C).
    2. Pengfei Zhang & Xi Liu & Junjie Fu & Fengming Chu, 2023. "Mass Transfer Behaviors and Battery Performance of a Ferrocyanide-Based Organic Redox Flow Battery with Different Electrode Shapes," Energies, MDPI, vol. 16(6), pages 1-17, March.

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