利用流体体积法建立 PEM 水电解槽阳极中孔隙尺度毛细管主导流和气泡脱落的模型

G. Schmidt, Daniel Niblett, Vahid J. Niasar, I. Neuweiler
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引用次数: 0

摘要

流体动力学模型是对昂贵且测量精度有限的 PEM 水电解质量传输实验的补充。在此,我们成功验证了氧气传输的第一原理微尺度模型,该模型考虑到了以下因素:(1) 催化剂层中不确定的传输过程;(2) 在数值上具有挑战性的毛细管主导两相流;(3) 通道中的气泡脱离。我们开发了随机生成几何形状以及流动和传输过程耦合的算法。流动模型以流体体积法为基础,在毛细管数大于 2.1-10-7 的条件下,可以分别以 30% 和 20% 的精度再现实验测量到的微型通道内的压降和气泡速度。在较低的毛细管数下,会出现过多的杂散电流。相应地,多孔传输层内的两相流模拟在电流密度超过 0.5 Acm-2 时是稳定的,并且在相关位置与操作气体饱和度测量值的吻合度在 20% 以内。模拟的气泡脱离发生在孔口处,与孔模拟和微流体实验结果一致。该模型可以解释和优化通道和多孔传输层中的质量传输过程。研究发现,这些过程对催化剂层内的传输阻力非常敏感,可以忽略不计,从而为未来的催化剂层模型提供了边界条件方面的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of Pore-Scale Capillary-Dominated Flow and Bubble Detachment in PEM Water Electrolyzer Anodes Using the Volume of Fluid Method
Fluid dynamics models complement expensive experiments with limited measurement accuracy that investigate the mass transport in PEM water electrolysis. Here, a first-principle microscale model for oxygen transport is successfully validated that accounts for (1) uncertain transport processes in catalyst layers, (2) numerically challenging capillary-dominated two-phase flow and (3) bubble detachments in channels. We developed algorithms for the stochastic generation of geometries and for the coupling of flow and transport processes. The flow model is based on the volume of fluid method and reproduces experimentally measured pressure drops and bubble velocities within minichannels with a 30% and 20% accuracy, respectively, provided that the capillary number is above 2.1·10-7. At lower capillary numbers, excessive spurious currents occur. Correspondingly, two-phase flow simulations within the porous transport layers are stable at current densities above 0.5 Acm-2 and match operando gas saturation measurements within a 20% margin at relevant locations. The simulated bubble detachments occur at pore throats that agree with porosimetry and microfluidic experiments. The presented model allows explaining and optimizing mass transport processes in channels and porous transport layers. These were found to be negligibly sensitive to transport resistances within the catalyst layer, providing information on boundary conditions for future catalyst layer models.
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