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

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  • Lu, Xiaohui
  • Li, Bing
  • Guo, Lin
  • Wang, Peifang
  • Yousefi, Nasser

Abstract

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.

Suggested Citation

  • Lu, Xiaohui & Li, Bing & Guo, Lin & Wang, Peifang & Yousefi, Nasser, 2021. "Exergy analysis of a polymer fuel cell and identification of its optimum operating conditions using improved Farmland Fertility Optimization," Energy, Elsevier, vol. 216(C).
    • Handle: RePEc:eee:energy:v:216:y:2021:i:c:s0360544220323719
    DOI: 10.1016/j.energy.2020.119264
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    1. Paria Akbary & Mohammad Ghiasi & Mohammad Reza Rezaie Pourkheranjani & Hamidreza Alipour & Noradin Ghadimi, 2019. "Extracting Appropriate Nodal Marginal Prices for All Types of Committed Reserve," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 1-26, January.
    2. Guo, Xinru & Zhang, Houcheng & Wang, Jiatang & Zhao, Jiapei & Wang, Fu & Miao, He & Yuan, Jinliang & Hou, Shujin, 2020. "A new hybrid system composed of high-temperature proton exchange fuel cell and two-stage thermoelectric generator with Thomson effect: Energy and exergy analyses," Energy, Elsevier, vol. 195(C).
    3. Cai, Wei & Mohammaditab, Rasoul & Fathi, Gholamreza & Wakil, Karzan & Ebadi, Abdol Ghaffar & Ghadimi, Noradin, 2019. "Optimal bidding and offering strategies of compressed air energy storage: A hybrid robust-stochastic approach," Renewable Energy, Elsevier, vol. 143(C), pages 1-8.
    4. Nouri, Alireza & Khodaei, Hossein & Darvishan, Ayda & Sharifian, Seyedmehdi & Ghadimi, Noradin, 2018. "Optimal performance of fuel cell-CHP-battery based micro-grid under real-time energy management: An epsilon constraint method and fuzzy satisfying approach," Energy, Elsevier, vol. 159(C), pages 121-133.
    5. Wu, Zhen & Zhu, Pengfei & Yao, Jing & Tan, Peng & Xu, Haoran & Chen, Bin & Yang, Fusheng & Zhang, Zaoxiao & Ni, Meng, 2020. "Thermo-economic modeling and analysis of an NG-fueled SOFC-WGS-TSA-PEMFC hybrid energy conversion system for stationary electricity power generation," Energy, Elsevier, vol. 192(C).
    6. Wang, Bowen & Wu, Kangcheng & Xi, Fuqiang & Xuan, Jin & Xie, Xu & Wang, Xiaoyang & Jiao, Kui, 2019. "Numerical analysis of operating conditions effects on PEMFC with anode recirculation," Energy, Elsevier, vol. 173(C), pages 844-856.
    7. Yang, Zirong & Du, Qing & Jia, Zhiwei & Yang, Chunguang & Jiao, Kui, 2019. "Effects of operating conditions on water and heat management by a transient multi-dimensional PEMFC system model," Energy, Elsevier, vol. 183(C), pages 462-476.
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    Cited by:

    1. Li, Yanju & Li, Dongxu & Ma, Zheshu & Zheng, Meng & Lu, Zhanghao & Song, Hanlin & Guo, Xinjia & Shao, Wei, 2022. "Performance analysis and optimization of a novel vehicular power system based on HT-PEMFC integrated methanol steam reforming and ORC," Energy, Elsevier, vol. 257(C).
    2. Lei, Gang & Zheng, Hualin & Zhang, Jun & Siong Chin, Cheng & Xu, Xinhai & Zhou, Weijiang & Zhang, Caizhi, 2023. "Analyzing characteristic and modeling of high-temperature proton exchange membrane fuel cells with CO poisoning effect," Energy, Elsevier, vol. 282(C).
    3. Atak, Nisa Nur & Dogan, Battal & Yesilyurt, Murat Kadir, 2023. "Investigation of the performance parameters for a PEMFC by thermodynamic analyses: Effects of operating temperature and pressure," Energy, Elsevier, vol. 282(C).
    4. Dongxu Li & Siwei Li & Zheshu Ma & Bing Xu & Zhanghao Lu & Yanju Li & Meng Zheng, 2021. "Ecological Performance Optimization of a High Temperature Proton Exchange Membrane Fuel Cell," Mathematics, MDPI, vol. 9(12), pages 1-15, June.

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