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A statistical approach to the analysis of the surge phenomenon

Author

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  • Bontempo, R.
  • Cardone, M.
  • Manna, M.
  • Vorraro, G.

Abstract

The paper presents an innovative data processing methodology for the analysis of the surge phenomenon occurring in a compressor. Since the dynamic of the surge cycle does not have a deterministic character, its proper description can only be obtained through a statistical approach. To this aim, the temporally resolved traces of the pressure and mass flow rate signals are processed through a phase averaged decomposition technique. Furthermore, the shape of the oscillating surge cycle is detected and quantified by introducing the joint probability density function of the aforementioned signals which are reported in the pressure ratio versus mass flow rate plane. This probabilistic approach offers two significant advantages over the conventional deterministic approach, namely the possibility to quantify the time of residence of all individual unstable states in a statistical sense, as well as the possibility to carry out a proper code-to-experiments or experiments-to-experiments comparison of such an unstable phenomenon.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:124:y:2017:i:c:p:502-509
    DOI: 10.1016/j.energy.2017.02.026
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    References listed on IDEAS

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    1. Jiao, Kui & Sun, Harold & Li, Xianguo & Wu, Hao & Krivitzky, Eric & Schram, Tim & Larosiliere, Louis M., 2009. "Numerical simulation of air flow through turbocharger compressors with dual volute design," Applied Energy, Elsevier, vol. 86(11), pages 2494-2506, November.
    2. Rakopoulos, C.D. & Dimaratos, A.M. & Giakoumis, E.G. & Rakopoulos, D.C., 2011. "Study of turbocharged diesel engine operation, pollutant emissions and combustion noise radiation during starting with bio-diesel or n-butanol diesel fuel blends," Applied Energy, Elsevier, vol. 88(11), pages 3905-3916.
    3. Galindo, J. & Fajardo, P. & Navarro, R. & García-Cuevas, L.M., 2013. "Characterization of a radial turbocharger turbine in pulsating flow by means of CFD and its application to engine modeling," Applied Energy, Elsevier, vol. 103(C), pages 116-127.
    4. Fu, Jianqin & Liu, Jingping & Wang, Yong & Deng, Banglin & Yang, Yanping & Feng, Renhua & Yang, Jing, 2014. "A comparative study on various turbocharging approaches based on IC engine exhaust gas energy recovery," Applied Energy, Elsevier, vol. 113(C), pages 248-257.
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    Cited by:

    1. 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.
    2. 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).

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