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Optimization of electrochemical hydrogen compression through computational modeling

机译:基于计算建模的电化学氢压缩优化

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One of the main challenges in developing the hydrogen infrastructure is the distribution and storage of hydrogen. A common method to store hydrogen is as a compressed gas. Electrochemical compression (ECC) is a promising technology that can overcome some of the disadvantages of conventional mechanical compressors. ECC employs an externally powered electrochemical cell containing a polymer electrolyte membrane to compress the gas. This work presents a comprehensive 3D ECC model developed for a single cell using COMSOL Multiphysics 5.6 that incorporates all relevant physical and electrochemical processes, and examines the effect of key parameters on ECC performance. It also considers the important phenomenon of back diffusion resulting from the high-pressure differential between the cathode and anode during compression. Results from the current simulations were validated against experimental results obtained previously in our lab. Simulations were first conducted for the unpressurized cathode to understand the effect of membrane thickness, relative humidity of the anode hydrogen supply, temperature, and gas diffusion layer thickness on ECC performance. Next, simulations were conducted for the pressurized cathode, with and without considering back diffusion. In the absence of back diffusion, the pressure ratio reaches the value predicted by the Nernst equation. However, the presence of back diffusion greatly reduces the pressure ratio as was also observed in experiments. The study reveals that three parameters in particular viz. Membrane thickness, operating temperature, and voltage must be carefully selected to optimize ECC operation. These results also suggest that ECC is a viable alternative to conventional technologies for hydrogen compression. This work also provides a foundation for the modeling and analysis of full-scale ECC systems. (c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:发展氢气基础设施的主要挑战之一是氢气的分配和储存。储存氢气的常用方法是压缩气体。电化学压缩(ECC)是一种很有前途的技术,可以克服传统机械压缩机的一些缺点。ECC采用外部供电的电化学电池,其中包含聚合物电解质膜来压缩气体。本文介绍了使用 COMSOL Multiphysics 5.6 为单个电池开发的综合三维 ECC 模型,该模型包含所有相关的物理和电化学过程,并研究了关键参数对 ECC 性能的影响。它还考虑了压缩过程中阴极和阳极之间的高压差导致的反向扩散的重要现象。当前模拟的结果与我们实验室之前获得的实验结果进行了验证。首先对未加压阴极进行仿真,以了解膜厚度、阳极供氢相对湿度、温度和气体扩散层厚度对ECC性能的影响。接下来,对加压阴极进行模拟,考虑和不考虑背扩散。在没有反向扩散的情况下,压力比达到能斯特方程预测的值。然而,正如在实验中观察到的那样,反向扩散的存在大大降低了压力比。该研究表明,特别是三个参数,即。必须仔细选择膜厚度、工作温度和电压,以优化 ECC 操作。这些结果还表明,ECC是传统氢压缩技术的可行替代方案。这项工作也为全尺寸ECC系统的建模和分析奠定了基础。(c) 2022 Hydrogen Energy Publications LLC.,由爱思唯尔有限公司出版。保留所有权利。

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