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A two-stage framework for quantifying the impact of operating parameters and optimizing power density and oxygen distribution quality of PEMFC

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  • Yu, Yulong
  • Lv, Shuangyu
  • Wang, Qiuyu
  • Xian, Lei
  • Chen, Lei
  • Tao, Wen-Quan

Abstract

Proton exchange membrane fuel cell (PEMFC) exhibits significant promise in generating power from hydrogen energy. Operating parameters exert a direct influence on both the power output and the uniformity of oxygen distribution within the PEMFC. Therefore, quantifying the impact of operating parameters and identifying the optimal operating conditions are pivotal to enhance the performance and extend the lifespan of the PEMFC. To this end, a two-stage framework leveraging interpretable machine learning and multi-objective optimization is proposed. In the first stage, an interpretable surrogate model for the PEMFC is established. The impacts of single parameter and pairwise parameters on the power output and the oxygen distribution quality are quantified. Moreover, the decision variables are selected for the second stage. In the second stage, the optimal operating parameters are determined via multi-objective optimization. The results from the first stage suggest that operating voltage and pressure have the highest cumulative contribution for both power density and oxygen distribution quality. The influence mechanism of one operating parameter on the relationship between another operating parameter and the research target is clearly quantified. The findings from the second stage indicate that power density increases by 32 %, 27.36 %, and 32.58 % for three optimized solutions, respectively, while the standard deviation of oxygen molar concentration in the selected operating condition is reduced by 29.66 %.

Suggested Citation

  • Yu, Yulong & Lv, Shuangyu & Wang, Qiuyu & Xian, Lei & Chen, Lei & Tao, Wen-Quan, 2024. "A two-stage framework for quantifying the impact of operating parameters and optimizing power density and oxygen distribution quality of PEMFC," Renewable Energy, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:renene:v:236:y:2024:i:c:s0960148124014988
    DOI: 10.1016/j.renene.2024.121430
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    as
    1. Yuan, Yongliang & Yang, Qingkang & Ren, Jianji & Mu, Xiaokai & Wang, Zhenxi & Shen, Qianlong & Zhao, Wu, 2024. "Attack-defense strategy assisted osprey optimization algorithm for PEMFC parameters identification," Renewable Energy, Elsevier, vol. 225(C).
    2. Cai, Tao & Zhao, Dan, 2022. "Enhancing and assessing ammonia-air combustion performance by blending with dimethyl ether," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    3. Dong, Xiangxiang & Wu, Jiang & Xu, Zhanbo & Liu, Kun & Guan, Xiaohong, 2022. "Optimal coordination of hydrogen-based integrated energy systems with combination of hydrogen and water storage," Applied Energy, Elsevier, vol. 308(C).
    4. Yang, Yadong & Shahbeik, Hossein & Shafizadeh, Alireza & Rafiee, Shahin & Hafezi, Amir & Du, Xinyi & Pan, Junting & Tabatabaei, Meisam & Aghbashlo, Mortaza, 2023. "Predicting municipal solid waste gasification using machine learning: A step toward sustainable regional planning," Energy, Elsevier, vol. 278(PB).
    5. Zhang, Guobin & Yuan, Hao & Wang, Yun & Jiao, Kui, 2019. "Three-dimensional simulation of a new cooling strategy for proton exchange membrane fuel cell stack using a non-isothermal multiphase model," Applied Energy, Elsevier, vol. 255(C).
    6. Mitrentsis, Georgios & Lens, Hendrik, 2022. "An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting," Applied Energy, Elsevier, vol. 309(C).
    7. Maestre, V.M. & Ortiz, A. & Ortiz, I., 2021. "Challenges and prospects of renewable hydrogen-based strategies for full decarbonization of stationary power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    8. Yang, Laishun & Cui, Yi & Wang, Zhen & Shi, Luhao & Zhao, Yang & Sun, Peipei & Wang, Cuiping, 2024. "Optimization of the structure and cathode operating parameters of a serpentine PEMFC with longitudinal vortex generators by response surface method," Renewable Energy, Elsevier, vol. 220(C).
    9. Chen, Ben & Wang, Jun & Yang, Tianqi & Cai, Yonghua & Zhang, Caizhi & Chan, Siew Hwa & Yu, Yi & Tu, Zhengkai, 2016. "Carbon corrosion and performance degradation mechanism in a proton exchange membrane fuel cell with dead-ended anode and cathode," Energy, Elsevier, vol. 106(C), pages 54-62.
    10. Ferahtia, Seydali & Rezk, Hegazy & Abdelkareem, Mohammad Ali & Olabi, A.G., 2022. "Optimal techno-economic energy management strategy for building’s microgrids based bald eagle search optimization algorithm," Applied Energy, Elsevier, vol. 306(PB).
    11. Li, Changzhi & Lin, Wei & Wu, Hangyu & Li, Yang & Zhu, Wenchao & Xie, Changjun & Gooi, Hoay Beng & Zhao, Bo & Zhang, Leiqi, 2023. "Performance degradation decomposition-ensemble prediction of PEMFC using CEEMDAN and dual data-driven model," Renewable Energy, Elsevier, vol. 215(C).
    12. Kourougianni, Fanourios & Arsalis, Alexandros & Olympios, Andreas V. & Yiasoumas, Georgios & Konstantinou, Charalampos & Papanastasiou, Panos & Georghiou, George E., 2024. "A comprehensive review of green hydrogen energy systems," Renewable Energy, Elsevier, vol. 231(C).
    13. Chen, Huicui & Zhao, Xin & Qu, Bingwang & Zhang, Tong & Pei, Pucheng & Li, Congxin, 2018. "An evaluation method of gas distribution quality in dynamic process of proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 232(C), pages 26-35.
    14. Deng, Shutong & Zhang, Jun & Zhang, Caizhi & Luo, Mengzhu & Ni, Meng & Li, Yu & Zeng, Tao, 2022. "Prediction and optimization of gas distribution quality for high-temperature PEMFC based on data-driven surrogate model," Applied Energy, Elsevier, vol. 327(C).
    15. Yang, Yupeng & Jia, Haijuan & Liu, Zhi & Bai, Nan & Zhang, Xiaolai & Cao, Tong & Zhang, Jie & Zhao, Pengbing & He, Xiaocong, 2022. "Overall and local effects of operating parameters on water management and performance of open-cathode PEM fuel cells," Applied Energy, Elsevier, vol. 315(C).
    16. Chen, Huicui & Liu, Biao & Zhang, Tong & Pei, Pucheng, 2019. "Influencing sensitivities of critical operating parameters on PEMFC output performance and gas distribution quality under different electrical load conditions," Applied Energy, Elsevier, vol. 255(C).
    Full references (including those not matched with items on IDEAS)

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