固体氧化物燃料电池输运现象的计算

S. Beale, W. Dong, S. Zhubrin, R. Boersma
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摘要

本文介绍了固体氧化物燃料电池通道内输运现象计算机模拟的合作研究项目的结果。从机械设计的角度来看,燃料电池可以被认为类似于热交换器,由于欧姆加热而产生内部热量。这是负载驱动因素的函数。单元的热机械设计至关重要,因为反应速率是温度、压力和物质浓度的函数,也就是说,整个过程是完全耦合的。该项目的设计目标是确保整个堆的流量和温度分布均匀,以优化性能并最大限度地降低故障风险。我们开发了计算机模型来预测电池和电池堆的性能,从而最大限度地减少昂贵的实验原型和测试设备的开发。传热学和计算流体动力学的标准技术被大大修改,以适用于这种情况。考虑了三种不同的方法。在所有情况下都是两种流体;空气和燃料,每一种都含有不同的化学物质。对存在电化学反应的流体流动方程、传热方程和传质方程进行离散化,并用有限体积法求解。使用多达460万个细胞的精细三维网格,对单个细胞和多达54个细胞的堆叠进行了详细的数值模拟。采用了基于分布阻力(多孔介质)类比的简化模型,以及换热器和炉膛设计中使用的传统假定流方法。后两种方法的优点是易于在小型个人计算机上执行。对这三种方法进行了详细的描述和比较。
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Calculations of Transport Phenomena in Solid-Oxide Fuel Cells
This paper presents the results of a collaborative research project of computer modeling of transport phenomena within the passages of solid-oxide fuel cells. From a mechanical design viewpoint, fuel cells may be considered to be similar to heat exchangers with internal heat generation due to ohmic heating. This is a function of load-driven factors. The thermomechanical design of the units is of paramount importance, as the reaction rates are a function of temperature, pressure, and species concentrations, i.e., the process is fully coupled. The design goal of the project is to ensure uniform flow and temperature distribution throughout the stack, to optimize performance and minimize the risk of failure. We developed computer models to predict the performance of cells and stacks of cells, so as to minimize the development of expensive experimental protypes and test rigs. The standard techniques of heat transfer and computational fluid dynamics were substantially modified to be applicable in this context. Three distinct approaches were considered. In all cases two fluids; air and fuel, each containing different chemical species were considered. The equations for fluid flow, heat and mass transfer with electro-chemical reactions occurring were discretized and solved using a finite-volume method. Detailed numerical simulations of a single cell and stacks of up to 54 cells were performed using fine three-dimensional meshes of up to 4.6 million cells. Simplified models based on a distributed resistance (porous media) analogy, and also traditional presumed flow methods used in heat exchanger and furnace design, were also employed. These latter approaches have the advantage of being readily executable on small personal computers. The three methodologies are described and compared in detail.
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