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Dynamic modeling of solid oxide fuel cell and engine hybrid system for distributed power generation

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  • Kang, Sanggyu
  • Ahn, Kook-Young

Abstract

Novel hybrid system composed of solid oxide fuel cell (SOFC) and engine has been presented by our previous study. The fuel contents remained in the anode tail gas from the SOFC is reutilized in the engine to improve the system electrical efficiency. Our previous research has confirmed the electrical efficiency of the SOFC-engine hybrid system can be enhanced by about 7.8% compared to the SOFC stand-alone system. Although the hybrid system has higher electrical efficiency than the stand-alone system, higher elaboration for the system operation should be necessary due to higher degree of system complication. The objective of the present study is to develop the dynamic modeling of the SOFC-engine hybrid system. The component dynamic modeling of SOFC, engine, external reformer, air blower, and heat exchanger are developed and integrated into a system using Matlab-Simulink®. Component models of SOFC, external reformer, and engine have been verified by comparison with the experimental data. The dynamic behavior of the hybrid system during transients is investigated. Since the time scale for the engine operation is much shorter than that of the SOFC stack, the power generated by the engine is mainly dependent on the characteristics variation of the anode tail gas. Consequently, the overshoot behavior is appeared in the engine power generation during increase of the demand SOFC power. This model is useful to develop the optimal control strategy for the SOFC-engine hybrid system.

Suggested Citation

  • Kang, Sanggyu & Ahn, Kook-Young, 2017. "Dynamic modeling of solid oxide fuel cell and engine hybrid system for distributed power generation," Applied Energy, Elsevier, vol. 195(C), pages 1086-1099.
    • Handle: RePEc:eee:appene:v:195:y:2017:i:c:p:1086-1099
    DOI: 10.1016/j.apenergy.2017.03.077
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    Cited by:

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    5. Xu, Haoran & Chen, Bin & Tan, Peng & Zhang, Houcheng & Yuan, Jinliang & Liu, Jiang & Ni, Meng, 2017. "Performance improvement of a direct carbon solid oxide fuel cell system by combining with a Stirling cycle," Energy, Elsevier, vol. 140(P1), pages 979-987.
    6. Choi, Wonjae & Kim, Jaehyun & Kim, Yongtae & Kim, Seonyeob & Oh, Sechul & Song, Han Ho, 2018. "Experimental study of homogeneous charge compression ignition engine operation fuelled by emulated solid oxide fuel cell anode off-gas," Applied Energy, Elsevier, vol. 229(C), pages 42-62.
    7. Wei, Ya & Stanford, Russell J., 2019. "Parameter identification of solid oxide fuel cell by Chaotic Binary Shark Smell Optimization method," Energy, Elsevier, vol. 188(C).
    8. Recalde, Mayra & Woudstra, Theo & Aravind, P.V., 2018. "Renewed sanitation technology: A highly efficient faecal-sludge gasification–solid oxide fuel cell power plant," Applied Energy, Elsevier, vol. 222(C), pages 515-529.
    9. Chun Yin Chan & Fabian Rosner & Scott Samuelsen, 2023. "Techno-Economic Analysis of Solid Oxide Fuel Cell-Gas Turbine Hybrid Systems for Stationary Power Applications Using Renewable Hydrogen," Energies, MDPI, vol. 16(13), pages 1-23, June.
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    11. Kim, Young Sang & Lee, Young Duk & Ahn, Kook Young, 2020. "System integration and proof-of-concept test results of SOFC–engine hybrid power generation system," Applied Energy, Elsevier, vol. 277(C).
    12. Wang, Erlei & Xia, Jiangying & Li, Jia & Sun, Xianke & Li, Hao, 2022. "Parameters exploration of SOFC for dynamic simulation using adaptive chaotic grey wolf optimization algorithm," Energy, Elsevier, vol. 261(PA).
    13. Fanyue Qian & Weijun Gao & Dan Yu & Yongwen Yang & Yingjun Ruan, 2022. "An Analysis of the Potential of Hydrogen Energy Technology on Demand Side Based on a Carbon Tax: A Case Study in Japan," Energies, MDPI, vol. 16(1), pages 1-23, December.
    14. Zeng, Hongyu & Wang, Yuqing & Shi, Yixiang & Cai, Ningsheng & Yuan, Dazhong, 2018. "Highly thermal integrated heat pipe-solid oxide fuel cell," Applied Energy, Elsevier, vol. 216(C), pages 613-619.
    15. Koo, Taehyung & Kim, Young Sang & Lee, Young Duk & Yu, Sangseok & Lee, Dong Keun & Ahn, Kook Young, 2021. "Exergetic evaluation of operation results of 5-kW-class SOFC-HCCI engine hybrid power generation system," Applied Energy, Elsevier, vol. 295(C).
    16. Kupecki, Jakub & Motylinski, Konrad & Milewski, Jaroslaw, 2018. "Dynamic analysis of direct internal reforming in a SOFC stack with electrolyte-supported cells using a quasi-1D model," Applied Energy, Elsevier, vol. 227(C), pages 198-205.
    17. Xia, Zhiping & Zhao, Dongqi & Li, Yuanzheng & Deng, Zhonghua & Kupecki, Jakub & Fu, Xiaowei & Li, Xi, 2023. "Control-oriented dynamic process optimization of solid oxide electrolysis cell system with the gas characteristic regarding oxygen electrode delamination," Applied Energy, Elsevier, vol. 332(C).
    18. Kim, Jaehyun & Kim, Yongtae & Choi, Wonjae & Ahn, Kook Young & Song, Han Ho, 2020. "Analysis on the operating performance of 5-kW class solid oxide fuel cell-internal combustion engine hybrid system using spark-assisted ignition," Applied Energy, Elsevier, vol. 260(C).
    19. Shah, M.A.K. Yousaf & Lu, Yuzheng & Mushtaq, Naveed & Yousaf, Muhammad & Akbar, Nabeela & Xia, Chen & Yun, Sining & Zhu, Bin, 2023. "Semiconductor-membrane fuel cell (SMFC) for renewable energy technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    20. Rashid, Kashif & Dong, Sang Keun & Mehran, Muhammad Taqi & Lee, Dong Won, 2017. "Design and analysis of compact hotbox for solid oxide fuel cell based 1kW-class power generation system," Applied Energy, Elsevier, vol. 208(C), pages 620-636.
    21. Wang, Nan & Wang, Dongxuan & Xing, Yazhou & Shao, Limin & Afzal, Sadegh, 2020. "Application of co-evolution RNA genetic algorithm for obtaining optimal parameters of SOFC model," Renewable Energy, Elsevier, vol. 150(C), pages 221-233.

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