Exergy analysis of a polymer fuel cell and identification of its optimum operating conditions using improved Farmland Fertility Optimization

被引:17
|
作者
Lu, Xiaohui [1 ]
Li, Bing [1 ]
Guo, Lin [2 ]
Wang, Peifang [1 ]
Yousefi, Nasser [3 ]
机构
[1] Hohai Univ, Sch Earth Sci & Engn, Minist Educ, Key Lab Integrated Regulat & Resource Dev Shallow, Nanjing 210098, Peoples R China
[2] Henan Inst Geol Survey, Zhengzhou 450001, Peoples R China
[3] Islamic Azad Univ, Karaj Branch, Tehran, Iran
基金
中国国家自然科学基金;
关键词
Proton exchange membrane fuel cell; Exergy; Work; Irreversibility; Improved farmland fertility optimization; EXCHANGE MEMBRANE ELECTROLYZER; PEMFC SYSTEM; PREDICTION; MANAGEMENT; ALGORITHM;
D O I
10.1016/j.energy.2020.119264
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this paper, the exergy analysis of a proposed power generation system based on high-temperature proton exchange membrane fuel cell (HT-PEMFC) has been proposed. The analyzed system includes the organic Rankine cycle to recover the wasted heat. To analyze the system, a mathematical model of the considered PEMFC has been presented and the water management system is investigated. Parametric analysis is provided to investigate the effect of the various thermodynamic and economic parameters such as exergy, irreversibility, and the work. Therefore, the three mentioned parameters have been optimized for improving the PEMFC design. To achieve an efficient optimized system, a new design of Farmland Fertility Optimization (FFO) is proposed. Final results of the algorithm are compared with experimental results, the genetic algorithm, and the basic FFO and the optimized values of irreversibility, exergy efficiency, work for the proposed algorithm are achieved 0.011,-0.446, and -0.462, respectively that are the best results toward the other compared algorithms. (C) 2020 Elsevier Ltd. All rights reserved.
引用
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页数:10
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