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arXiv 2610.01840physics.comp-ph

RFBniCS:用于液流电池的开源仿真框架

RFBniCS: An open-source simulation framework for redox flow batteries

  • Norwegian University of Life Sciences(挪威生命科学大学)
  • Simula Research Laboratory(西穆拉研究实验室)

机构由 AI 辅助整理,请以论文原文为准。

Amirhossein Aghabarari, Jørgen S. Dokken, Martin T. Horsch, Eirik Valseth, Mathijs Janssen

AI总结:

RFBniCS是FEniCSx中实现的开源有限元框架,用于模拟液流电池半电池,支持多维瞬态模拟,验证中精度和速度优于其他实现,并适用于钒液流电池负半电池研究。

AI中文摘要:

我们介绍了RFBniCS,一个在FEniCSx中实现的开源有限元框架,用于模拟液流电池(RFB)半电池。RFBniCS求解一个成熟的宏观均匀多孔电极模型,该模型考虑了强耦合的电解液流动、多组分物质传输、离子和电子电荷守恒以及界面法拉第电荷转移。与其他开源工具不同,RFBniCS能够在一维、二维和三维几何中进行瞬态RFB半电池模拟,同时显式解析氧化还原活性物质和支持电解质物质的传输。它还描述了电解液通过多孔电极的流动,并且在三维公式中,描述了通过相邻流动通道的流动。为了验证实现,RFBniCS在参数限制状态下的预测与其他已发表的实现进行了比较,通常RFBniCS显示出更高的精度和速度。我们进一步通过模拟钒液流电池负半电池的瞬态响应(使用中等浓度的支持电解质)来展示RFBniCS的能力。在当前实现中,RFBniCS为研究液流电池半电池提供了计算基础,并可扩展到复杂的流场设计、替代化学体系、全电池耦合、详细的膜传输以及额外的多物理场效应。

英文摘要:

We present RFBniCS, an open-source finite-element framework implemented in FEniCSx for simulating redox-flow-battery (RFB) half-cells. RFBniCS solves an established macro-homogeneous porous-electrode model accounting for strongly coupled electrolyte flow, multicomponent species transport, ionic and electronic charge conservation, and interfacial Faradaic charge transfer. Different from other open-access tools, RFBniCS can perform transient RFB half-cell simulations in one-, two-, and three-dimensional geometries while explicitly resolving the transport of both redox-active and supporting-electrolyte species. It also describes electrolyte flow through porous electrodes and, in the three-dimensional formulation, through adjacent flow channels. To verify the implementation, RFBniCS's predictions in parameter-limiting regimes are compared against other published implementations, with RFBniCS generally showing superior accuracy and speed. We further demonstrate RFBniCS's capabilities by a simulation of the transient response of the negative half-cell of a vanadium redox flow battery, with a moderately concentrated supporting electrolyte. In the current implementation, RFBniCS provides the computational basis for studying redox-flow-battery half-cells and can be extended to complex flow-field designs, alternative chemistries, full-cell coupling, detailed membrane transport, and additional multiphysics effects.

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