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Design and performance prediction of supercritical carbon dioxide centrifugal compressor
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Enhui SUN1, 2, Zhenyu YANG1, 2, Kailong LIAO1, 2, Lei ZHANG1, 2, Guangyao AN1, 2, Yongyi LI1, 2
Thermal Power Generation | 2023, 52(6) : 127 - 134
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Thermal Power Generation | 2023, 52(6): 127-134
Equipments research on S-CO2 cycle power generation system
Design and performance prediction of supercritical carbon dioxide centrifugal compressor
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Enhui SUN1, 2, Zhenyu YANG1, 2, Kailong LIAO1, 2, Lei ZHANG1, 2, Guangyao AN1, 2, Yongyi LI1, 2
Affiliations
  • 1.Department of Power Engineering, North China Electric Power University, Baoding 071003, China
  • 2.Hebei Key Laboratory of Low Carbon and High Efficiency Power Generation Technology, North China Electric Power University, Baoding 071003, China
Published: 2023-06-25 doi: 10.19666/j.rlfd.202212292
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Centrifugal compressor is one of the key components in supercritical carbon dioxide (S-CO2) cycle system, which plays a decisive role in the efficiency and stable operation of the system. Different from the traditional air compressor, the unique physical properties of S-CO2 working medium make the internal flow field of the compressor more complex. The loss model established based on the physical characteristics of air also needs to be modified specifically to meet the performance prediction requirements of S-CO2 centrifugal compressor. Therefore, numerical simulation is needed to investigate the internal flow field characteristics of the compressor, so as to improve the compressor performance prediction method accordingly. Firstly, one-dimensional aerodynamic parameters of the compressor were designed, and a three-dimensional model was established based on the one-dimensional design parameters to analyze the characteristics of the internal flow field of the compressor. It was found that the shunt blade had a great influence on the internal flow field, and changes in the internal flow field of the impeller under varying working conditions would also cause changes in the outlet flow Angle. Based on this, The sliding factor and the calculated blade number of the compressor under off-design conditions were corrected, and the surface friction coefficient was improved to predict the performance of the compressor under off-design conditions. The numerical simulation results show that the prediction error of the improved model is significantly reduced, and the average efficiency error decreases from 2.03% to 0.16% under off-design conditions.

supercritical carbon dioxide  /  centrifugal compressor  /  one dimension design  /  numerical simulation  /  performance prediction  /  slip factor
Enhui SUN, Zhenyu YANG, Kailong LIAO, Lei ZHANG, Guangyao AN, Yongyi LI. Design and performance prediction of supercritical carbon dioxide centrifugal compressor[J]. Thermal Power Generation, 2023 , 52 (6) : 127 -134 . DOI: 10.19666/j.rlfd.202212292
  • National Natural Science Foundation of China(52076079)
  • National Natural Science Foundation of China(52206010)
Year 2023 volume 52 Issue 6
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Article Info
doi: 10.19666/j.rlfd.202212292
  • Receive Date:2022-12-13
  • Online Date:2026-01-23
  • Published:2023-06-25
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History
  • Received:2022-12-13
Funding
National Natural Science Foundation of China(52076079)
National Natural Science Foundation of China(52206010)
Affiliations
    1.Department of Power Engineering, North China Electric Power University, Baoding 071003, China
    2.Hebei Key Laboratory of Low Carbon and High Efficiency Power Generation Technology, North China Electric Power University, Baoding 071003, China
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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