...
首页> 外文期刊>International journal of hydrogen energy >Exergy analysis and optimization of a HT-PEMFC using developed Manta Ray Foraging Optimization Algorithm
【24h】

Exergy analysis and optimization of a HT-PEMFC using developed Manta Ray Foraging Optimization Algorithm

机译:HT-PEMFC使用开发的MANTA RAY觅食优化算法进行了分析和优化

获取原文
获取原文并翻译 | 示例
           

摘要

This paper analyzes the efficiency of a high-temperature proton exchange membrane fuel cell (HT-PEMFC) by calculating the output voltage of the cell in different working conditions, using the semi-experimental relationships. The irreversibility and the exergy efficiency of the fuel cell is calculated under different working conditions and the effect of temperature and pressure has been studied. To achieve optimal design for the PEMFC, its parameters are optimized based on irreversibility, exergy efficiency, and its work. The system optimization is applied by a modified version of the Manta Ray Foraging Optimization Algorithm. The suggested algorithm is then compared with other algorithms from the literature and also simulation results and showed a high agreement between the suggested algorithm and the simulation results. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:本文通过半实验关系计算了不同工作条件下电池的输出电压来分析高温质子交换膜燃料电池(HT-PEMFC)的效率。 在不同的工作条件下计算燃料电池的不可逆转性和燃料电池的漏洞效率,并研究了温度和压力的效果。 为实现PEMFC的最佳设计,其参数根据不可逆转,高度效率及其工作进行优化。 系统优化由Manta Ray觅食优化算法的修改版本应用。 然后将建议的算法与来自文献的其他算法进行比较,以及仿真结果,并在建议的算法和模拟结果之间显示了高协议。 (c)2020氢能量出版物LLC。 elsevier有限公司出版。保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号