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Zero dimensional dynamic model of vanadium redox flow battery cell incorporating all modes of vanadium ions crossover

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  • Pugach, M.
  • Kondratenko, M.
  • Briola, S.
  • Bischi, A.

Abstract

A 0-D dynamic mathematical model for a single Vanadium Redox Flow Battery (VRFB) cell is proposed. The model is based on the conservation principles of charge and mass transfer focusing on the precise simulation of crossover with diffusion, migration and convection. The influence of these phenomena on the capacity decay was systematically analyzed, revealing considerable impact of convection component, which dominates under diffusion and migration and mainly responsible for observed capacity loss. The model allows to simulate main characteristics of VRFB systems (such as battery voltage, state of charge, charge/discharge time and capacity decay due to crossover) with high accuracy. The model was validated with experimental data in the wide range of current densities (40–100 mA cm−2), and the results demonstrated good agreement with experiments having an average error within 5% range. In addition, the model requires a modest computational time and power, and, therefore, it can be suitable for application in advanced control-monitoring tools, which are necessary for a long-service life and sustainable operation of VRFB systems.

Suggested Citation

  • Pugach, M. & Kondratenko, M. & Briola, S. & Bischi, A., 2018. "Zero dimensional dynamic model of vanadium redox flow battery cell incorporating all modes of vanadium ions crossover," Applied Energy, Elsevier, vol. 226(C), pages 560-569.
  • Handle: RePEc:eee:appene:v:226:y:2018:i:c:p:560-569
    DOI: 10.1016/j.apenergy.2018.05.124
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    References listed on IDEAS

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    Cited by:

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    2. Kurilovich, Aleksandr A. & Trovò, Andrea & Pugach, Mikhail & Stevenson, Keith J. & Guarnieri, Massimo, 2022. "Prospect of modeling industrial scale flow batteries – From experimental data to accurate overpotential identification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
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    5. Chen, Hui & Li, Xiangrong & Gao, Hai & Liu, Jianguo & Yan, Chuanwei & Tang, Ao, 2019. "Numerical modelling and in-depth analysis of multi-stack vanadium flow battery module incorporating transport delay," Applied Energy, Elsevier, vol. 247(C), pages 13-23.
    6. Ouyang, Tiancheng & Zhang, Mingliang & Qin, Peijia & Tan, Xianlin, 2024. "Flow battery energy storage system for microgrid peak shaving based on predictive control algorithm," Applied Energy, Elsevier, vol. 356(C).
    7. Toja, F. & Perlini, L. & Facchi, D. & Casalegno, A. & Zago, M., 2024. "Dramatic mitigation of capacity decay and volume variation in vanadium redox flow batteries through modified preparation of electrolytes," Applied Energy, Elsevier, vol. 354(PB).
    8. Guarnieri, Massimo & Trovò, Andrea & Picano, Francesco, 2020. "Enhancing the efficiency of kW-class vanadium redox flow batteries by flow factor modulation: An experimental method," Applied Energy, Elsevier, vol. 262(C).
    9. Pugach, M. & Vyshinsky, V. & Bischi, A., 2019. "Energy efficiency analysis for a kilo-watt class vanadium redox flow battery system," Applied Energy, Elsevier, vol. 253(C), pages 1-1.

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