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Energy efficiency analysis for a kilo-watt class vanadium redox flow battery system

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  • Pugach, M.
  • Vyshinsky, V.
  • Bischi, A.

Abstract

A new methodology for estimation of the key characteristics of commercial scale Vanadium Redox Flow Battery (VRFB) at different operating conditions is proposed. The method is based on a set of simplified correlations that allow estimating VRFB rated power, capacity and operation time directly from the geometry of stack and tank without detailed numerical simulation of the battery. The study is focused on investigation of a kilo-watt class VRFB system (5 kW/15kWh) considering a wide range of current densities (40–100 mA cm−2). The proposed simplified approach is validated considering the most representative cases of battery operation strategies related to slow and fast modes. It demonstrated high accuracy for the estimation of rated power and operation time (average error below 3%) as well as stored energy (average error below 6%) compare to results of detailed numerical simulation. As a result, the proposed methodology can be used as a simple tool for development of proper battery usage protocol (a schedule for battery usage), which could allow avoiding over/underestimation of committed battery energy and power during battery operation. In addition, the obtained results can be also used in order to improve the accuracy of techno-economic studies determining the most economically attractive cases for application of VRFB systems.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:253:y:2019:i:c:109
    DOI: 10.1016/j.apenergy.2019.113533
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. Ikechukwu S. Anyanwu & Fulvio Buzzi & Pekka Peljo & Aldo Bischi & Antonio Bertei, 2024. "System-Level Dynamic Model of Redox Flow Batteries (RFBs) for Energy Losses Analysis," Energies, MDPI, vol. 17(21), pages 1-21, October.
    3. Yang Jiao & Daniel Månsson, 2021. "A Study of the Energy Exchange within a Hybrid Energy Storage System and a Comparison of the Capacities, Lifetimes, and Costs of Different Systems," Energies, MDPI, vol. 14(21), pages 1-22, October.
    4. 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).
    5. 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).

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