低温蓄热式电化学循环液流电池的数值模型

Sitong Li , Weiguang Wang , Yusong Liu , Hua Tian , Gequn Shu
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引用次数: 3

摘要

低温热能(<;130°C)的回收利用可以显著提高能源效率并减少二氧化碳排放。在各种热-电转换技术中,热再生电化学循环(TREC)因其在热能利用方面的显著效率而备受关注。本文中的热再生电化学循环液流电池(TREC-FB)具有几个优点,包括连续输出功率和在没有外部电源的情况下运行。本研究的目的是通过模拟来增强对各种参数如何影响系统性能的理解,从而优化单元性能。本文在守恒方程和电化学方程的基础上,利用COMSOL Multiphysics分别建立了高温电池和低温电池流场和电化学场耦合的二维稳态模型。通过循环伏安法(CV)、计时电流法(CA)和Tafel电化学测量获得了模型中的扩散系数和动力学参数,用于随后在模型中的应用。实验结果证实了该模型的有效性。这项工作的主要重点是研究系统性能如何受到各种因素的影响,包括电流密度、电解质流速、温度系数、多孔电极几何形状、热回收效率以及冷热电池之间的温差。结果表明,较大的电解液流速会导致较大的功率密度,但会降低系统效率。多孔电极厚度越小,温度系数越高,热回收效率越高,电池之间的温差越大,可以提高系统性能。这项工作为进一步提高TREC-FB的性能提供了新的指导。
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A numerical model for a thermally regenerative electrochemical cycled flow battery for low-temperature thermal energy harvesting

Low-temperature thermal energy (<130 °C) recycling and utilization can significantly increase energy efficiency and reduce CO2 emissions. Among various technologies for heat-to-electricity conversion, thermally regenerative electrochemical cycle (TREC) has garnered significant attention for remarkable efficiency in thermal energy utilization. The thermally regenerative electrochemical cycled flow battery (TREC-FB) in this paper offers several advantages, including continuous power output and operating without an external power supply. The goal of this investigation is to enhance the understanding of how various parameters affect system performance through simulation, thus optimizing cell performance. In this work, based on the conservation equations and electrochemical equations, the two-dimensional steady models coupled with the flow field and electrochemical field of high-temperature cell and low-temperature cell are constructed separately by COMSOL Multiphysics. The diffusion coefficient and kinetic parameters in the model were obtained by cyclic voltammetry (CV), chronoamperometry (CA) and Tafel electrochemical measurements for subsequent application in the models. Experimental results have confirmed the validity of this model. The main focus of this work is to examine how the system performance is impacted by various factors including current density, electrolyte flow rate, temperature coefficient, porous electrode geometry, heat recuperation efficiency, and temperature difference between hot and cold cells. The results indicate that a larger electrolyte flow rate leads to larger power density, but reduces system efficiency. Smaller porous electrode thickness, higher temperature coefficient, higher heat recuperation efficiency and larger temperature difference between the cells can enhance the system performance. This work offers a new guide for further enhancing TREC-FB performance.

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