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Experiments and Heat Transfer Correlation Validations of Low-Parameter Region of sCO 2 Flow in a Long Thin Vertical Loop

Author

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  • Rufan Song

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
    Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China)

  • Yongchang Feng

    (Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China)

  • Dong Yang

    (Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
    University of Chinese Academic of Sciences, Beijing 100049, China)

  • Gang Zeng

    (Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China)

  • Deqing Mei

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Igor Pioro

    (Faculty of Engineering and Applied Science, Ontario Tech University, Oshawa, ON L1G 0C5, Canada)

  • Lin Chen

    (Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
    University of Chinese Academic of Sciences, Beijing 100049, China)

Abstract

The focus of this study is to accurately predict the convective heat transfer of CO 2 to ensure the safe and efficient design of supercritical and trans-critical CO 2 energy systems. The heat transfer performance of CO 2 is crucial for the stable operation of these systems. This research study explored the flow and heat transfer behavior of CO 2 in a long thin vertical loop through experiments. A range of key parameters were set in the experiments to ensure the broad coverage of operating conditions. The inlet temperature was set between 10 °C and 45 °C, the pressure ranged from 6.0 to 9.0 MPa, mass fluxes varied from 500 to 1500 kg/m 2 s, and the heat flux reached up to 300 kW/m 2 . Experiments were performed at Reynolds number 10 4 . By adjusting these parameters, the experiments were able to simulate CO 2 heat transfer performance under various real-world conditions. Additionally, numerical simulations were employed to further analyze CO 2 ’s flow and heat transfer behavior. Different turbulence models were tested, and the results showed that the SST k-ω model can best predict CO 2 convective heat transfer, effectively capturing the complex heat transfer characteristics under varying flow conditions. The research outcomes were compared with established correlations through the Nusselt number, and while a ±30% uncertainty was observed, the overall agreement was satisfactory. This indicates that the experimental and simulation results are within a reasonable range, confirming their reliability.

Suggested Citation

  • Rufan Song & Yongchang Feng & Dong Yang & Gang Zeng & Deqing Mei & Igor Pioro & Lin Chen, 2024. "Experiments and Heat Transfer Correlation Validations of Low-Parameter Region of sCO 2 Flow in a Long Thin Vertical Loop," Energies, MDPI, vol. 17(23), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:6010-:d:1532615
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    References listed on IDEAS

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    1. Sarkar, Jahar, 2009. "Second law analysis of supercritical CO2 recompression Brayton cycle," Energy, Elsevier, vol. 34(9), pages 1172-1178.
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