Hybrid calculation-estimation modeling for flow field optimization: Enhancing efficiency of biomimetic vanadium redox flow batteries

  • Jacer Hamrouni orcid

    Advanced Fluid Dynamics, Energetics and Environment Laboratory, Department of Mechanical Engineering, National School of Engineers of Sfax, University of Sfax, Sfax 3029, Tunisia
  • Kabashi Khatir Kabashi

    Physics Department, Taif University–Khurma University College, Al-Khurma 2935, Saudi Arabia
  • Chafaa Hamrouni orcid

    Advanced Department of Computer Sciences, Taif University–Khurma University College, Al-Khurma 2935, Saudi Arabia
  • Abdennaceur Kachouri orcid

    Advanced Fluid Dynamics, Energetics and Environment Laboratory, National Engineering School, Sfax University, Sfax 3029, Tunisia
  • Mounir  Baccar orcid

    Advanced Fluid Dynamics, Energetics and Environment Laboratory, Department of Mechanical Engineering, National School of Engineers of Sfax, University of Sfax, Sfax 3029, Tunisia
Article ID: 3793
DOI: https://doi.org/10.59400/adecp3793
Keywords: continuous endurance risk management; Bayesian network; system dynamics; risk analysis; data-driven

Abstract

This study introduces a hybrid calculation-estimation framework to optimize flow field designs for vanadium redox flow batteries (VRFBs), prioritizing directly calculable geometric and physical parameters over empirically fitted coefficients to enhance model fidelity and predictive accuracy. A fully validated three-dimensional multi-physics model, coupling fluid dynamics with electrochemical kinetics, is developed to systematically evaluate three distinct flow field architectures: a conventional serpentine design, a nature-inspired biomimetic leaf-venation network, and a modified serpentine channel featuring embedded micro-pillar perturbators. Comparative analysis reveals that biomimetic design achieves the most favorable trade-off between hydraulic and electrochemical performance. Its low-resistance, hierarchically branched architecture facilitates uniform electrolyte distribution across the porous electrode, resulting in a 35% reduction in pressure drop and a corresponding 3.2% increase in net system efficiency relative to the conventional baseline. In contrast, while the perturbator-enhanced design achieves the highest limiting current density (190 mA cm⁻²) by inducing localized vortex mixing to enhance mass transport, this gain is offset by a significant increase in pumping losses. The findings underscore that directly calculated parameters such as branching geometry and flow path length are critical drivers of performance. This work provides a principled modeling strategy and offers generalizable design guidelines, demonstrating that nature-inspired engineering is a key pathway toward developing next-generation, high-efficiency VRFB systems.

Published
2026-03-04
How to Cite
Hamrouni, J., Khatir Kabashi, K., Hamrouni, C., Kachouri, A., & Baccar, M. (2026). Hybrid calculation-estimation modeling for flow field optimization: Enhancing efficiency of biomimetic vanadium redox flow batteries. Advances in Differential Equations and Control Processes, 33(1). https://doi.org/10.59400/adecp3793
Issue
Vol. 33 No. 1 (2026)
Section
Article

Copyright (c) 2026 Jacer Hamrouni, Kabashi Khatir Kabashi, Chafaa Hamrouni, Abdennaceur Kachouri, Mounir  Baccar

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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