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Performance enhancement of autonomous system comprising proton exchange membrane fuel cells and switched reluctance motor

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  • El-Hay, Enas A.
  • El-Hameed, Mohamed A.
  • El-Fergany, Attia A.

Abstract

It is well-known that switched reluctance motor, as a non-linear load, is a source of current ripples which reduces the life time of proton exchange membrane fuel cells and significantly affects their performances. In this work, optimal operations of autonomous stacked proton membrane fuel cells serving a switched reluctance motor are anticipated. Overall model comprising proton exchange membrane fuel cells stack and switched reluctance motor along with necessary interface and control elements are implemented using MATLAB/SIMULINK. Three key objectives are adopted to be optimized either individually or simultaneously such as: i) proton exchange membrane fuel cells stack efficiency, ii) torque per ampere ratio, and iii) torque smoothness factor. Six decision controlling parameters e.g. fuel cells' temperature, air flow rate, air pressure, fuel pressure, and turn on/off angles of switched reluctance motor represent the search space of dragonfly algorithm. Numerical results indicate that the proposed dragonfly algorithm-based method is capable of increasing proton exchange membrane fuel cells stack energy saving, and reducing of hydrogen consumption, ripples in switched reluctance motor torque and current of proton exchange membrane fuel cells stack. Finally, results generated by the dragonfly algorithm are appraised compared to those obtained by genetic algorithm which signifies its value.

Suggested Citation

  • El-Hay, Enas A. & El-Hameed, Mohamed A. & El-Fergany, Attia A., 2018. "Performance enhancement of autonomous system comprising proton exchange membrane fuel cells and switched reluctance motor," Energy, Elsevier, vol. 163(C), pages 699-711.
    • Handle: RePEc:eee:energy:v:163:y:2018:i:c:p:699-711
    DOI: 10.1016/j.energy.2018.08.104
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    1. Huang, Chung-Neng & Chen, Yui-Sung, 2017. "Design of magnetic flywheel control for performance improvement of fuel cells used in vehicles," Energy, Elsevier, vol. 118(C), pages 840-852.
    2. Kim, Jintae & Kim, Minjin & Kang, Taegon & Sohn, Young-Jun & Song, Taewon & Choi, Kyoung Hwan, 2014. "Degradation modeling and operational optimization for improving the lifetime of high-temperature PEM (proton exchange membrane) fuel cells," Energy, Elsevier, vol. 66(C), pages 41-49.
    3. Radenahmad, Nikdalila & Afif, Ahmed & Petra, Pg Iskandar & Rahman, Seikh M.H. & Eriksson, Sten-G. & Azad, Abul K., 2016. "Proton-conducting electrolytes for direct methanol and direct urea fuel cells – A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1347-1358.
    4. Saadi, A. & Becherif, M. & Aboubou, A. & Ayad, M.Y., 2013. "Comparison of proton exchange membrane fuel cell static models," Renewable Energy, Elsevier, vol. 56(C), pages 64-71.
    5. Kwan, Trevor Hocksun & Wu, Xiaofeng & Yao, Qinghe, 2018. "Multi-objective genetic optimization of the thermoelectric system for thermal management of proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 217(C), pages 314-327.
    6. Taner, Tolga, 2018. "Energy and exergy analyze of PEM fuel cell: A case study of modeling and simulations," Energy, Elsevier, vol. 143(C), pages 284-294.
    7. Yang, Shipin & Chellali, Ryad & Lu, Xiaohua & Li, Lijuan & Bo, Cuimei, 2016. "Modeling and optimization for proton exchange membrane fuel cell stack using aging and challenging P systems based optimization algorithm," Energy, Elsevier, vol. 109(C), pages 569-577.
    8. Zhang, Qian & Lin, Rui & Técher, Ludovic & Cui, Xin, 2016. "Experimental study of variable operating parameters effects on overall PEMFC performance and spatial performance distribution," Energy, Elsevier, vol. 115(P1), pages 550-560.
    9. Fathabadi, Hassan, 2018. "Novel fuel cell/battery/supercapacitor hybrid power source for fuel cell hybrid electric vehicles," Energy, Elsevier, vol. 143(C), pages 467-477.
    10. Barros, Tarcio A.S. & Neto, Pedro J.S. & Filho, Paulo S.N. & Moreira, Adson B. & Ruppert, Ernesto, 2016. "Approach for performance optimization of switched reluctance generator in variable-speed wind generation system," Renewable Energy, Elsevier, vol. 97(C), pages 114-128.
    11. Chavan, Sudarshan L. & Talange, Dhananjay B., 2017. "Modeling and performance evaluation of PEM fuel cell by controlling its input parameters," Energy, Elsevier, vol. 138(C), pages 437-445.
    12. Boyacı San, Fatma Gül & İyigün Karadağ, Çiğdem & Okur, Osman & Okumuş, Emin, 2016. "Optimization of the catalyst loading for the direct borohydride fuel cell," Energy, Elsevier, vol. 114(C), pages 214-224.
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    Cited by:

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    2. Gouda, Eid A. & Kotb, Mohamed F. & El-Fergany, Attia A., 2021. "Jellyfish search algorithm for extracting unknown parameters of PEM fuel cell models: Steady-state performance and analysis," Energy, Elsevier, vol. 221(C).
    3. Guoxiao Xu & Xinwei Dong & Bin Xue & Jianyou Huang & Junli Wu & Weiwei Cai, 2023. "Recent Approaches to Achieve High Temperature Operation of Nafion Membranes," Energies, MDPI, vol. 16(4), pages 1-21, February.
    4. Andrew J. Riad & Hany M. Hasanien & Rania A. Turky & Ahmed H. Yakout, 2023. "Identifying the PEM Fuel Cell Parameters Using Artificial Rabbits Optimization Algorithm," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    5. Hesham Alhumade & Ahmed Fathy & Abdulrahim Al-Zahrani & Muhyaddin Jamal Rawa & Hegazy Rezk, 2021. "Optimal Parameter Estimation Methodology of Solid Oxide Fuel Cell Using Modern Optimization," Mathematics, MDPI, vol. 9(9), pages 1-19, May.
    6. Seleem, Sameh I. & Hasanien, Hany M. & El-Fergany, Attia A., 2021. "Equilibrium optimizer for parameter extraction of a fuel cell dynamic model," Renewable Energy, Elsevier, vol. 169(C), pages 117-128.
    7. El-Hay, E.A. & El-Hameed, M.A. & El-Fergany, A.A., 2019. "Optimized Parameters of SOFC for steady state and transient simulations using interior search algorithm," Energy, Elsevier, vol. 166(C), pages 451-461.
    8. Xiaoshu Zan & Ning Wu & Ruidong Xu & Mingliang Cui & Zhikai Jiang & Kai Ni & Mohammed Alkahtani, 2019. "Design and Analysis of a Novel Converter Topology for Photovoltaic Pumps Based on Switched Reluctance Motor," Energies, MDPI, vol. 12(13), pages 1-17, July.
    9. Samuel Raafat Fahim & Hany M. Hasanien & Rania A. Turky & Abdulaziz Alkuhayli & Abdullrahman A. Al-Shamma’a & Abdullah M. Noman & Marcos Tostado-Véliz & Francisco Jurado, 2021. "Parameter Identification of Proton Exchange Membrane Fuel Cell Based on Hunger Games Search Algorithm," Energies, MDPI, vol. 14(16), pages 1-21, August.

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