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Optimization and part-load performance analysis of MCFC/ST hybrid power system

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  • Duan, Liqiang
  • Lu, Hao
  • Yuan, Mingye
  • Lv, Zhipeng

Abstract

Based on a benchmark hybrid power system of molten carbonate fuel cell(MCFC) integrated with the steam turbine(ST) bottom cycle system, a new MCFC/ST hybrid power system is proposed in this paper. The detailed thermodynamic models of the overall system are established. The effects of the key parameters on the new system performance are deeply studied. The exergy analysis method is used to reveal the theoretical root of performance advantage of new system. The off-design performance of the new system is analyzed. In order to improve the off-design performance of the new system, two control modes are proposed to make the fuel cell operate at 650 °C. The results indicate that the total exergy loss of the new system is obviously reduced compared with the benchmark system. The net efficiency of the new system reaches the highest when the carbon-to-steam ratio is 2.5, CO2 utilization rate is 75%, fuel utilization rate is 85% and the current density is 1500 A/m2. The fuel cell is more efficient at part load than at the design point and the net hybrid power system efficiency increases in the first control mode and almost remains unchanged in the second control mode with the decrease of the load.

Suggested Citation

  • Duan, Liqiang & Lu, Hao & Yuan, Mingye & Lv, Zhipeng, 2018. "Optimization and part-load performance analysis of MCFC/ST hybrid power system," Energy, Elsevier, vol. 152(C), pages 682-693.
    • Handle: RePEc:eee:energy:v:152:y:2018:i:c:p:682-693
    DOI: 10.1016/j.energy.2018.03.178
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    References listed on IDEAS

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    1. Duan, Liqiang & Xia, Kun & Feng, Tao & Jia, Shilun & Bian, Jing, 2016. "Study on coal-fired power plant with CO2 capture by integrating molten carbonate fuel cell system," Energy, Elsevier, vol. 117(P2), pages 578-589.
    2. Silveira, José Luz & Martins Leal, Elisângela & Ragonha, Luiz F, 2001. "Analysis of a molten carbonate fuel cell: cogeneration to produce electricity and cold water," Energy, Elsevier, vol. 26(10), pages 891-904.
    3. Mehrpooya, Mehdi & Sharifzadeh, Mohammad Mehdi Moftakhari, 2017. "Conceptual and basic design of a novel integrated cogeneration power plant energy system," Energy, Elsevier, vol. 127(C), pages 516-533.
    4. Duan, Liqiang & Yue, Long & Feng, Tao & Lu, Hao & Bian, Jing, 2016. "Study on a novel pressurized MCFC hybrid system with CO2 capture," Energy, Elsevier, vol. 109(C), pages 737-750.
    5. Duan, Liqiang & Huang, Kexin & Zhang, Xiaoyuan & Yang, Yongping, 2013. "Comparison study on different SOFC hybrid systems with zero-CO2 emission," Energy, Elsevier, vol. 58(C), pages 66-77.
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    1. Szczęśniak, Arkadiusz & Milewski, Jarosław & Szabłowski, Łukasz & Bujalski, Wojciech & Dybiński, Olaf, 2020. "Dynamic model of a molten carbonate fuel cell 1 kW stack," Energy, Elsevier, vol. 200(C).
    2. Mehrpooya, Mehdi & Ansarinasab, Hojat & Mousavi, Seyed Ali, 2021. "Life cycle assessment and exergoeconomic analysis of the multi-generation system based on fuel cell for methanol, power, and heat production," Renewable Energy, Elsevier, vol. 172(C), pages 1314-1332.
    3. Sadeghi, Saber & Askari, Ighball Baniasad, 2019. "Prefeasibility techno-economic assessment of a hybrid power plant with photovoltaic, fuel cell and Compressed Air Energy Storage (CAES)," Energy, Elsevier, vol. 168(C), pages 409-424.
    4. Zhang, Yao & Salem, Mohamed & Elmasry, Yasser & Hoang, Anh Tuan & Galal, Ahmed M. & Pham Nguyen, Dang Khoa & Wae-hayee, Makatar, 2022. "Triple-objective optimization and electrochemical/technical/environmental study of biomass gasification process for a novel high-temperature fuel cell/electrolyzer/desalination scheme," Renewable Energy, Elsevier, vol. 201(P1), pages 379-399.
    5. Li, Xiang & Wu, Junsong & Zhu, Xinyu & Liang, Huixing, 2022. "Agricultural waste-to-energy concerning a biofuel-fed molten carbonate fuel cell toward a novel trigeneration scheme; exergoeconomic/sustainability study and multi-objective optimization," Renewable Energy, Elsevier, vol. 199(C), pages 1189-1209.

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