Author
Listed:
- Yongfu Liu
(School of Intelligent Manufacturing, Huzhou College, Huzhou 313000, China)
- Yi He
(Department of Thermal Science and Energy Engineering, University of Science and Technology of China (USTC), Hefei 230026, China)
Abstract
Aqueous redox flow batteries (ARFBs) have attracted significant attention in the field of electrochemical energy storage due to their high intrinsic safety, low cost, and flexible system configuration. However, the advancement of this technology is still hindered by several critical challenges, including capacity decay, structural optimization, and the design and application of key materials as well as their performance within battery systems. Addressing these issues requires systematic theoretical foundations and scientific guidance. Numerical modeling has emerged as a powerful tool for investigating the complex physical and electrochemical processes within flow batteries across multiple spatial and temporal scales. It also enables predictive performance analysis and cost-effective optimization at both the component and system levels, thus accelerating research and development. This review provides a comprehensive overview of recent progress in the modeling of ARFBs. Taking the all-vanadium redox flow battery as a representative example, we summarize the key multiphysics phenomena involved and introduce corresponding multi-scale modeling strategies. Furthermore, specific modeling considerations are discussed for phase-change ARFBs, such as zinc-based ones involving solid–liquid phase transition, and hydrogen–bromine systems characterized by gas–liquid two-phase flow, highlighting their distinctive features compared to vanadium systems. Finally, this paper explores the major challenges and potential opportunities in the modeling of representative ARFB systems, aiming to provide theoretical guidance and technical support for the continued development and practical application of ARFB technology.
Suggested Citation
Yongfu Liu & Yi He, 2025.
"Recent Advances in Numerical Modeling of Aqueous Redox Flow Batteries,"
Energies, MDPI, vol. 18(15), pages 1-38, August.
Handle:
RePEc:gam:jeners:v:18:y:2025:i:15:p:4170-:d:1718882
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