Energy, Power & Electrical Engineering

Exergy Efficiency Analyses and Optimization of Regenerative S-CO2 Brayton Cycle

  • XIA Shao-Jun ,
  • JIN Qing-Long ,
  • WU Zhi-Xiang
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  • College of Power Engineering,Naval University of Engineering,Wuhan 430033,Hubei,China
夏少军(1986-),男,博士,副教授,主要从事能源利用与能量转换的相关理论及装置研究。E-mail:shaojunxia_2021@163.com

Received date: 2021-08-09

  Revised date: 2021-09-17

  Online published: 2021-10-08

Supported by

Supported by the National Natural Science Foundation of China(51976235,51606218,51576207) and the Natural Science Foundation of Hubei Province,China(2018CFB708)


Abstract

It is of great significance to perform performance analysis and optimization of regenerative supercritical carbon dioxide (S-CO2) Brayton cycle because it has great development and application potential in the field of gas turbines waste heat recovery and utilization. In this paper, the theory of finite-time thermodynamics is used to establish a regenerative S-CO2 Brayton cycle model with various irreversible factors including the heat transfer with finite temperature difference, the irreversible compression and the irreversible expansion under the condition of variable-temperature heat source. Then, the influences of working fluids mass flow rate, turbine and compressor efficiencies, and total heat exchanger inventory on the characteristic relationship between the exergy efficiency and the cycle pressure ratio are analyzed. Finally, by choosing the maximum exergy efficiency at fixed total heat exchanger inventory as the optimization objective, the heat conductance distribution ratios of the heater, the cooler and rege-nerator, as well as the mass flow rate of the working fluid and the cycle pressure ratio, are optimized. The results show that, within the parameter value ranges chosen in this paper, the optimized exergy efficiency increases by 37.96%, as compared with the initial design value. The design parameters corresponding to the maximum exergy efficiencies at different working fluid mass flow rates are also given. 

Cite this article

XIA Shao-Jun , JIN Qing-Long , WU Zhi-Xiang . Exergy Efficiency Analyses and Optimization of Regenerative S-CO2 Brayton Cycle[J]. Journal of South China University of Technology(Natural Science), 2022 , 50(2) : 111 -120 . DOI: 10.12141/j.issn.1000-565X.210504

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