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首页> 外文期刊>The Korean journal of chemical engineering >Optimization of physical parameters of solid oxide fuel cell electrode using electrochemical model
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Optimization of physical parameters of solid oxide fuel cell electrode using electrochemical model

机译:电化学模型优化固体氧化物燃料电池电极的物理参数

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To enhance the performance of anode-supported solid oxide fuel cell (SOFC), an electrochemical model has been developed in this study. The Butler-Volmer equation, Ohm's law and dusty-gas model are incorporated to predict the activation, ohmic and concentration overpotentials, respectively. The optimal cell microstructure and operating parameters for the best current-voltage (J-V) characteristics have been sought from the information of the exchange current density and gas diffusion coefficients. As the cell temperature rises, the activation and ohmic overpotentials decrease, whereas the concentration overpotential increases due to the considerable reduction of gas density at the elevated temperature despite the increased diffusion coefficient. Also, increasing the hydrogen molar fraction and operating pressure can further augment the maximum cell output. Since there exists an optimum electrode pore size and porosity for maximum cell power density, the graded electrode has newly been designed to effectively reduce both the activation and concentration overpotentials. The results exhibit 70% improved cell performance than the case with a non-graded electrode. This electrochemical model will be useful to simply understand overpotential features and devise the strategy for optimal cell design in SOFC systems.
机译:为了提高阳极支撑的固体氧化物燃料电池(SOFC)的性能,本研究开发了电化学模型。结合了Butler-Volmer方程,欧姆定律和含尘气体模型来分别预测活化,欧姆和浓度超电势。从交换电流密度和气体扩散系数的信息中寻找了最佳电池微观结构和最佳电流-电压(J-V)特性的工作参数。随着电池温度的升高,活化和欧姆超电势会降低,而浓度超电势会增加,这是由于尽管扩散系数增加了,但在升高的温度下气体密度显着降低。同样,增加氢的摩尔分数和操作压力可以进一步增加电池的最大输出。由于存在用于最大电池功率密度的最佳电极孔隙大小和孔隙率,因此,新设计了渐变电极,可有效降低活化和浓度过电势。结果表明,与不带渐变电极的电池相比,电池性能提高了70%。该电化学模型将有助于简单地了解过电特性,并设计出SOFC系统中最佳电池设计的策略。

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