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Effect of Reynolds number on supercritical helium axial compressor rotors performance in closed Brayton cycle

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  • Tian, Zhitao
  • Zheng, Qun
  • Jiang, Bin

Abstract

Supercritical helium has been considered as an ideal working fluid in a number of design studies for closed Brayton cycle due to its thermal properties. But the low density level of supercritical helium, the characteristics of the small flow channel in the turbomachine and the variable working condition method of the system determine that the compressor may run at low Reynolds number. In this paper, the influence of Reynolds number on supercritical helium compressor rotor is investigated under different conditions by numerical simulation program. Effects of specific heat ratio on Reynolds number sensitivity of supercritical helium compressor rotor are also investigated by comparing the calculated results of different working fluids. Special attention is paid to the relationship between properties of working fluids and efficiency. Then, the equations of efficiency and total pressure ratio for different working fluids are established. The results show that the Reynolds number sensitivity of supercritical helium compressor rotor decreases with the increase of tip clearance and increases with the increase of the specific heat ratio.

Suggested Citation

  • Tian, Zhitao & Zheng, Qun & Jiang, Bin, 2018. "Effect of Reynolds number on supercritical helium axial compressor rotors performance in closed Brayton cycle," Energy, Elsevier, vol. 145(C), pages 217-227.
    • Handle: RePEc:eee:energy:v:145:y:2018:i:c:p:217-227
    DOI: 10.1016/j.energy.2017.12.137
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    References listed on IDEAS

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    Cited by:

    1. Xu, Jingxuan & Lin, Wensheng, 2021. "Integrated hydrogen liquefaction processes with LNG production by two-stage helium reverse Brayton cycles taking industrial by-products as feedstock gas," Energy, Elsevier, vol. 227(C).
    2. Zaharil, Hafiz Aman, 2021. "An investigation on the usage of different supercritical fluids in parabolic trough solar collector," Renewable Energy, Elsevier, vol. 168(C), pages 676-691.
    3. Sun, Ke & Lu, Huawei & Malik, Adil & Fan, Yingqi & Tian, Zhitao, 2024. "Effect of Reynolds number on the aerodynamic performance of highly loaded helium compressor cascade in high temperature gas-cooled reactor," Energy, Elsevier, vol. 289(C).
    4. Liu, Changxing & Zou, Zhengping & Xu, Pengcheng & Wang, Yifan, 2024. "Development of helium turbine loss model based on knowledge transfer with neural network and its application on aerodynamic design," Energy, Elsevier, vol. 297(C).

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