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The optimization of channels for a proton exchange membrane fuel cell applying genetic algorithm

机译：基于遗传算法的质子交换膜燃料电池通道优化

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摘要

A channel is a significant part of a proton exchange membrane fuel cell (PEMFC), and the configuration of the channel has a great effect on the mass transfer of the PEMFC, which directly influences the performance. In this study, a three-dimensional, single-phase, and non-isothermal model of a PEMFC with a single straight channel is developed. Based on the model, genetic algorithm (GA) is adopted to obtain an optimal design of the channel configuration. Power consumption of flow and output power of a PEMFC are considered into the objective function, and the width of bottom and top edges of the channel, in both the anode and cathode sides, are selected as variables. The optimal design obtained is a trapezoidal channel. At an operating potential of 0.4 V, the increment in current density in the optimal design is 10.92% compared to a basic design having a square channel. Moreover, the optimal design shows more uniform distributions of reactants and current density than the basic design.
机译：通道是质子交换膜燃料电池（PEMFC）的重要组成部分，通道的结构对PEMFC的传质有很大影响，这直接影响性能。在这项研究中，建立了具有单个直通道的PEMFC的三维，单相和非等温模型。基于该模型，采用遗传算法（GA）获得通道配置的优化设计。 PEMFC的流量功耗和输出功率被视为目标函数，并且选择阳极和阴极侧通道底部和顶部边缘的宽度作为变量。获得的最佳设计是梯形通道。在0.4 V的工作电势下，与具有方形通道的基本设计相比，最佳设计中的电流密度增量为10.92％。而且，与基本设计相比，最佳设计显示出更均匀的反应物分布和电流密度。

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  • 作者

    Xiangbing Zeng; Ya Ge; Jun Shen; Lingping Zeng; Zhichun Liu; Wei Liu;

  • 作者单位

    School of Energy and Power Engineering, Huazhong University of Science and Technology, 430074 Wuhan, China;

    School of Energy and Power Engineering, Huazhong University of Science and Technology, 430074 Wuhan, China;

    School of Energy and Power Engineering, Huazhong University of Science and Technology, 430074 Wuhan, China;

    Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139-4307, United States;

    School of Energy and Power Engineering, Huazhong University of Science and Technology, 430074 Wuhan, China;

    School of Energy and Power Engineering, Huazhong University of Science and Technology, 430074 Wuhan, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Channel optimization; Proton exchange membrane fuel cell; Genetic algorithm; Mass transport;

    机译：渠道优化;质子交换膜燃料电池;遗传算法大众运输;

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