Energy Storage Science and Technology ›› 2023, Vol. 12 ›› Issue (11): 3435-3444.doi: 10.19799/j.cnki.2095-4239.2023.0361

• Energy Storage System and Engineering • Previous Articles     Next Articles

Performance prediction methods for centrifugal compressors: A review

Kaixuan WANG1,2(), Zhitao ZUO1,2,3, Qi LIANG1, Wenbin GUO1, Haisheng CHEN1,2,3()   

  1. 1.Institute of Engineering Thermophysics, Chinese Academy of Science, Beijing 100190, China
    2.University of Chinese Academy of Science, Beijing 100049, China
    3.National Energy Large Scale Physical Energy Storage Technologies R&D Center of Bijie High-tech Industrial Development Zone, Bijie 551712, Guizhou, China.
  • Received:2023-05-25 Revised:2023-08-15 Online:2023-11-05 Published:2023-11-16
  • Contact: Haisheng CHEN E-mail:wangkaixuan@iet.cn;chen_hs@iet.cn

Abstract:

Compressed-air energy storage is considered the most promising large-scale physical energy-storage technology; in addition, the compressor, as a key component, has an important impact on the overall performance of the system. In this field, centrifugal compressors have advantages over other types of compressors with characteristics of large flow, high pressure ratio, and wide operating conditions. Owing to the influence of the charging characteristics of the fixed-volume gas-storage device, the compressor often functions in the off-design condition. The accurate prediction of the compressor's performance can improve system efficiency and reduce R&D investment. Since the 1950s, considerable amount of research has been conducted on the performance prediction of centrifugal compressors and various performance prediction methods have been established. In this paper, performance prediction methods are categorized into mechanism modeling, similarity conversion, and data-driven models. According to the summarization of the basic principles and research progress of each method, the differences of each method in terms of the modeling cycle, prediction accuracy, portability, and application scenarios are qualitatively analyzed, and the future development trend of performance prediction is prospected. The findings of this study could guide in the research and application of the performance prediction method to centrifugal compressors.

Key words: centrifugal compressors, performance prediction, compressed air energy storage

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