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Direct numerical calculation of the kinematic tortuosity of reactive mixture flow in the anode layer of solid oxide fuel cells by the lattice Boltzmann method

机译:用格子玻尔兹曼法直接计算固体氧化物燃料电池阳极层中反应性混合物的运动曲折度

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摘要

Mathematical models that predict performance can aid in the understanding and development of solid oxide fuel cells (SOFCs). Of course, various modeling approaches exist involving different length scales. In particular, very significant advances are now taking place using microscopic models to understand the complex composite structures of electrodes and three-phase boundaries. Ultimately these advances should lead to predictions of cell behavior, which at present are measured empirically and inserted into macroscopic cell models. In order to achieve this ambitious goal, simulation tools based on these macroscopic models must be redesigned by matching them to the complex microscopic phenomena, which take place at the pore scale level. As a matter of fact, the macroscopic continuum approach essentially consists of applying some type of homogenization technique, which properly averages the underlying microscopic phenomena for producing measurable quantities. Unfortunately, these quantities in the porous electrodes of fuel cells are sometimes measurable only in principle. For this reason, this type of approach introduces additional uncertainties into the macroscopic models, which can significantly affect the numerical results, particularly their generality. This paper is part of an ongoing effort to address the problem by following an alternative approach. The key idea is to numerically simulate the underlying microscopic phenomena in an effort to bring the mathematical description nearer to actual reality. In particular, some recently developed mesoscopic tools appear to be very promising since the microscopic approach is, in this particular case, partially included in the numerical method itself. In particular, the models based on the lattice Boltzmann method (LBM) treat the problem by reproducing the collisions among particles of the same type, among particles belonging to different species, and finally among the species and the solid obstructions. Recently, a model developed by the authorswas proposed which, based on LBM, models the fluid flowof reactive mixtures in randomly generated porous media by simulating the actual coupling interaction among the species. A parallel three-dimensional numerical code was developed in order to implement this model and to simulate the actual microscopic structures of SOFC porous electrodes. In this paper, a thin anode (50 m) of Ni-metal/YSZ-electrolyte cermet for a high-temperature electrolyte supported SOFC was considered in the numerical simulations. The three-dimensional anode structure was derived by a regression analysis based on the granulometry law applied to some microscopic pictures obtained with an electron microscope. The numerical simulations show the spatial distribution of the mass fluxes for the reactants and the products of the electrochemical reactions. The described technique will allow one to design new improved materials and structures in order to statistically optimize these fluid paths
机译:预测性能的数学模型可以帮助理解和开发固体氧化物燃料电池(SOFC)。当然,存在各种涉及不同长度尺度的建模方法。特别是,现在正在使用微观模型来理解电极和三相边界的复杂复合结构,取得了非常重大的进步。最终,这些进展将导致对细胞行为的预测,目前可以凭经验对其进行测量,并将其插入宏观细胞模型中。为了实现这一宏伟目标,必须重新设计基于这些宏观模型的仿真工具,使其与在孔尺度上发生的复杂微观现象相匹配。实际上,宏观连续体方法本质上包括应用某种类型的均化技术,该技术可以平均化潜在的微观现象以产生可测量的量。不幸的是,燃料电池的多孔电极中的这些量有时仅在原则上可测量。因此,这种方法将额外的不确定性引入宏观模型中,这可能会显着影响数值结果,尤其是其普遍性。本文是通过采用替代方法来解决该问题的持续努力的一部分。关键思想是对潜在的微观现象进行数值模拟,以使数学描述更接近实际情况。特别地,一些最近开发的介观工具似乎非常有前途,因为在这种特殊情况下,微观方法部分地包含在数值方法本身中。特别地,基于格子玻尔兹曼方法(LBM)的模型通过再现相同类型的粒子之间,属于不同物种的粒子之间以及最终物种和实体障碍物之间的碰撞来解决该问题。最近,提出了由作者开发的模型,该模型基于LBM,通过模拟物种之间的实际耦合相互作用,对反应混合物在随机产生的多孔介质中的流体流动进行了建模。为了实现该模型并模拟SOFC多孔电极的实际微观结构,开发了并行的三维数字代码。本文在数值模拟中考虑了用于高温电解质支撑的SOFC的镍金属/ YSZ电解质金属陶瓷的薄阳极(50 m)。通过基于应用于电子显微镜获得的一些显微图片的粒度法则的回归分析来导出三维阳极结构。数值模拟表明反应物的质量通量和电化学反应产物的空间分布。所描述的技术将允许人们设计新的改进的材料和结构,以便统计地优化这些流体路径。

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