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A numerical study of current distribution inside the cathode and electrolyte of a solid oxide fuel cell.

机译：固体氧化物燃料电池阴极和电解质内部电流分布的数值研究。

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Fuel cells have the potential of becoming the prime power sources in near future. They offer many advantages over conventional power generators. Fuel cells are being extensively researched where Numerical Modeling plays an increasingly important role. The present study comprises of a new modular approach to the three dimensional modeling of a Solid Oxide Fuel Cell (SOFC). The new approach resolves important scales and details of pertinent processes inside various SOFC components. The model calculates the spatial distributions of current, temperature and specie concentrations inside the SOFC. Simulations are performed on cathode of a SOFC showed interesting results. Also a novel method is devised to model the potential jump observed at Electrode/Electrolyte interface of a fuel cell. In this method, potential jump is specified as the source term in the continuity equation for current rather than as a boundary condition. The source term is derived from an induced potential field by a dipole distribution at electrode/electrolyte interface. The preliminary results presented show some unique features which could not be detected via experimental studies.
机译：燃料电池有可能在不久的将来成为主要动力源。与常规发电机相比，它们具有许多优势。燃料电池正在被广泛地研究，其中数值建模起着越来越重要的作用。本研究包括对固体氧化物燃料电池（SOFC）进行三维建模的新模块化方法。新方法解决了各种SOFC组件内相关过程的重要规模和细节。该模型计算SOFC内部电流，温度和物质浓度的空间分布。在SOFC阴极上进行的仿真显示出有趣的结果。还设计了一种新颖的方法来对在燃料电池的电极/电解质界面处观察到的电势跳跃进行建模。在这种方法中，电位跳变被指定为电流连续性方程中的源项，而不是边界条件。源项是通过电极/电解质界面处的偶极分布从感应电势场得出的。提出的初步结果显示了一些独特的功能，这些功能无法通过实验研究来检测。

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