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A new first-principles model to predict mild and deep surge for a centrifugal compressor

Author

Listed:
  • Powers, Katherine
  • Kennedy, Ian
  • Archer, Jamie
  • Eynon, Paul
  • Horsley, John
  • Brace, Chris
  • Copeland, Colin
  • Milewski, Paul

Abstract

Centrifugal compressors are used in many applications, including automotive turbochargers. Surge is an instability that occurs at low mass flow rates that is often damaging. Even mild surge produces noise characteristics that cause problems with customer acceptance. It is therefore important to be able to predict both mild and deep surge onset.

Suggested Citation

  • Powers, Katherine & Kennedy, Ian & Archer, Jamie & Eynon, Paul & Horsley, John & Brace, Chris & Copeland, Colin & Milewski, Paul, 2022. "A new first-principles model to predict mild and deep surge for a centrifugal compressor," Energy, Elsevier, vol. 244(PB).
    • Handle: RePEc:eee:energy:v:244:y:2022:i:pb:s0360544221032990
    DOI: 10.1016/j.energy.2021.123050
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    References listed on IDEAS

    as
    1. Semlitsch, Bernhard & Mihăescu, Mihai, 2016. "Flow phenomena leading to surge in a centrifugal compressor," Energy, Elsevier, vol. 103(C), pages 572-587.
    2. De Bellis, Vincenzo & Bontempo, Rodolfo, 2018. "Development and validation of a 1D model for turbocharger compressors under deep-surge operation," Energy, Elsevier, vol. 142(C), pages 507-517.
    3. Filip Grapow & Grzegorz Liśkiewicz, 2020. "Study of the Greitzer Model for Centrifugal Compressors: Variable L c Parameter and Two Types of Surge," Energies, MDPI, vol. 13(22), pages 1-15, November.
    4. Bontempo, R. & Cardone, M. & Manna, M. & Vorraro, G., 2017. "A statistical approach to the analysis of the surge phenomenon," Energy, Elsevier, vol. 124(C), pages 502-509.
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    Cited by:

    1. Vu, Hoang Nghia & Truong Le Tri, Dat & Nguyen, Huu Linh & Kim, Younghyeon & Yu, Sangseok, 2023. "Multifunctional bypass valve for water management and surge protection in a proton-exchange membrane fuel cell supply-air system," Energy, Elsevier, vol. 278(C).
    2. Fu, Jianqin & Wang, Huailin & Sun, Xilei & Bao, Huanhuan & Wang, Xun & Liu, Jingping, 2024. "Multi-objective optimization for impeller structure parameters of fuel cell air compressor using linear-based boosting model and reference vector guided evolutionary algorithm," Applied Energy, Elsevier, vol. 363(C).

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