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Dynamic simulation and parameter analysis of solar-coal hybrid power plant based on the supercritical CO2 Brayton cycle

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  • Wang, Di
  • Han, Xinrui
  • Li, Haoyu
  • Li, Xiaoli

Abstract

To improve the energy utilization efficiency of the solar-coal hybrid power plant, a solar power tower plant with the supercritical CO2 (S–CO2) Brayton cycle is proposed. In this study, the dynamic mathematical model is established by lumped parameter method. Meanwhile, the thermodynamic performance of the system is analyzed by exergy and energy analysis methods. The results show that the maximum error of dynamic mathematical model is less than 5%. The exergy analysis shows that exergy destruction mainly occurs in the heat exchanger, followed by the recuperator and precooler. In addition, the thermal efficiency of the S–CO2 solar units is improved by approximately 2.5% after coupling with coal-fired thermal power units. The dynamic mathematical model proposed in this study can be used to analyze the dynamic characteristics, and achieve high solar power generation efficiency. It provides a reference for the efficient utilization of solar-coal energy complementation.

Suggested Citation

  • Wang, Di & Han, Xinrui & Li, Haoyu & Li, Xiaoli, 2023. "Dynamic simulation and parameter analysis of solar-coal hybrid power plant based on the supercritical CO2 Brayton cycle," Energy, Elsevier, vol. 272(C).
    • Handle: RePEc:eee:energy:v:272:y:2023:i:c:s0360544223004966
    DOI: 10.1016/j.energy.2023.127102
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    1. Ouyang, Tiancheng & Pan, Mingming & Huang, Youbin & Tan, Xianlin & Qin, Peijia, 2023. "Thermodynamic design and power prediction of a solar power tower integrated system using neural networks," Energy, Elsevier, vol. 278(PA).

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