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Insights into energy efficiency for vanadium redox flow battery (VRFB) using the artificial intelligence technique

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  • Talebian, Rasoul
  • Pourian, Ali
  • Zakerabbasi, Pouya
  • Maghsoudy, Sina
  • Habibzadeh, Sajjad

Abstract

Vanadium redox flow battery (VRFB) offers a sustainable and reliable solution for large-scale energy storage applications. This study represents the first investigation into the comprehensive data-driven analysis of inter-parameter correlation and prediction of the energy efficiency of VRFBs utilizing the Gaussian Process Regression (GPR) model. Namely, 420 VRFB datasets were collected from the literature, whereas 10 structural and 2 operational features are considered input parameters. Indeed, in the VRFB cells with the greater active area, i.e., pilot-to-commercial-scale applications, the Serpentine flow field configuration, higher electrolyte concentration, thicker electrodes, and higher felt compression are more prevalent. The outcomes reveal that the current density, membrane type, and electrode treatment with the respective Pearson correlation coefficient values of −0.4167, 0.2862, and 0.1546 significantly affect the VRFBs' energy efficiency. Besides, the developed ML models can accurately result in the associated energy efficiency in the VRFBs, with the highest accuracy of the GPR- Matern5/2. The training and testing R2 values are 0.9933 and 0.9565, respectively, indicating near-perfect accuracy, making it a reliable model. This research paves the way for improving VRFB performance, advancing its practical application, and providing key insights into AI-driven battery design.

Suggested Citation

  • Talebian, Rasoul & Pourian, Ali & Zakerabbasi, Pouya & Maghsoudy, Sina & Habibzadeh, Sajjad, 2025. "Insights into energy efficiency for vanadium redox flow battery (VRFB) using the artificial intelligence technique," Applied Energy, Elsevier, vol. 399(C).
  • Handle: RePEc:eee:appene:v:399:y:2025:i:c:s0306261925012152
    DOI: 10.1016/j.apenergy.2025.126485
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    References listed on IDEAS

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    1. Igor Iwakiri & Tiago Antunes & Helena Almeida & João P. Sousa & Rita Bacelar Figueira & Adélio Mendes, 2021. "Redox Flow Batteries: Materials, Design and Prospects," Energies, MDPI, vol. 14(18), pages 1-45, September.
    2. 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).
    3. Yue, Meng & Lv, Zhiqiang & Zheng, Qiong & Li, Xianfeng & Zhang, Huamin, 2019. "Battery assembly optimization: Tailoring the electrode compression ratio based on the polarization analysis in vanadium flow batteries," Applied Energy, Elsevier, vol. 235(C), pages 495-508.
    4. Kim, Dong Kyu & Yoon, Sang Jun & Lee, Jaeho & Kim, Sangwon, 2018. "Parametric study and flow rate optimization of all-vanadium redox flow batteries," Applied Energy, Elsevier, vol. 228(C), pages 891-901.
    5. Xiao, Wenyang & Tan, Lei, 2019. "Control strategy optimization of electrolyte flow rate for all vanadium redox flow battery with consideration of pump," Renewable Energy, Elsevier, vol. 133(C), pages 1445-1454.
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