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A micro off-grid power solution for solid oxide fuel cell waste heat reusing enabled peak load shifting by integrating compressed-air energy storage

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  • Ouyang, Tiancheng
  • Zhao, Zhongkai
  • Zhang, Mingliang
  • Xie, Shutao
  • Wang, Zhiping

Abstract

Nowadays, the proportion of thermal power generation is still large, the waste of electricity will lead to more environmental pollution. With the continuous increase in electricity demand, how to improve the quality of power supply, reduce transmission loss and ease the burden of power grid are urgent problems to be solved. The combination of fuel cell and energy storage technology could be a good solution. In this article, a new off-grid system with peak load shifting function is proposed to solve problems of power supply in remote regions. This combined system consists of a solid oxide fuel cell, a regenerative Brayton cycle, an organic Rankine cycle and a compressed-air energy storage system. By rational utilization of waste heat in exhaust gas, the cascade utilization of energy can be realized. The results indicate that the fuel cell-waste heat recovery system can achieve higher thermal efficiency and exergy efficiency, with an improvement of 6.69% and 6.46%, respectively. The application of compressed-air energy storage system not only makes the system have the functions of energy storage and peak regulation, but also improves the economic performance. The system reaches a minimum payback time of 4 years in the case presented. In conclusion, this new combined system is clean, efficient and economical, which can provide a good solution for power supply in coteaux, suburbs and islands.

Suggested Citation

  • Ouyang, Tiancheng & Zhao, Zhongkai & Zhang, Mingliang & Xie, Shutao & Wang, Zhiping, 2022. "A micro off-grid power solution for solid oxide fuel cell waste heat reusing enabled peak load shifting by integrating compressed-air energy storage," Applied Energy, Elsevier, vol. 323(C).
    • Handle: RePEc:eee:appene:v:323:y:2022:i:c:s0306261922008972
    DOI: 10.1016/j.apenergy.2022.119589
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    5. Qin, Peijia & Tan, Xianlin & Huang, Youbin & Pan, Mingming & Ouyang, Tiancheng, 2023. "Two-stage robust optimal scheduling framework applied for microgrids: Combined energy recovery and forecast," Renewable Energy, Elsevier, vol. 214(C), pages 290-306.

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