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Experimental analysis of thermo-acoustic combustion instability

Author

Listed:
  • Fichera, A.
  • Losenno, C.
  • Pagano, A.

Abstract

Thermo-acoustic instabilities are dynamic phenomena that represent a major threat for most modern combustion systems. Many studies, mainly undertaking a linear analysis of experimental data, have been carried out to provide a deeper understanding of the underlying phenomena. However, linear analysis may lead to an oversimplified view of the problem, which involves many complex non-linear interactions, and a more detailed non-linear analysis may be necessary. This paper presents both linear and non-linear analyses of experimental measurements observed in a methane-fuelled laboratory combustor. The linear analysis aims to verify the existence of thermo-acoustic instabilities and consists of the elaboration of both power-spectral density distribution and Rayleigh Index of the experimental time series. Non-linear analysis aims to investigate dynamic behaviours by means of the deterministic chaos theory. Results of the analyses show that combustion instabilities occur in all the experimental operating conditions. Moreover, the existence of a chaotic source in the combustion system under study is demonstrated.

Suggested Citation

  • Fichera, A. & Losenno, C. & Pagano, A., 2001. "Experimental analysis of thermo-acoustic combustion instability," Applied Energy, Elsevier, vol. 70(2), pages 179-191, October.
    • Handle: RePEc:eee:appene:v:70:y:2001:i:2:p:179-191
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    Citations

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    Cited by:

    1. Zhao, Dan & Li, Shihuai & Yang, Wenming & Zhang, Zhiguo, 2015. "Numerical investigation of the effect of distributed heat sources on heat-to-sound conversion in a T-shaped thermoacoustic system," Applied Energy, Elsevier, vol. 144(C), pages 204-213.
    2. Cammarata, L. & Fichera, A. & Pagano, A., 2002. "Neural prediction of combustion instability," Applied Energy, Elsevier, vol. 72(2), pages 513-528, June.
    3. Zhao, Dan & Li, Shen & Zhao, He, 2016. "Entropy-involved energy measure study of intrinsic thermoacoustic oscillations," Applied Energy, Elsevier, vol. 177(C), pages 570-578.
    4. Zhang, Zhiguo & Zhao, Dan & Li, S.H. & Ji, C.Z. & Li, X.Y. & Li, J.W., 2015. "Transient energy growth of acoustic disturbances in triggering self-sustained thermoacoustic oscillations," Energy, Elsevier, vol. 82(C), pages 370-381.
    5. Han, Zhezhe & Hossain, Md. Moinul & Wang, Yuwei & Li, Jian & Xu, Chuanlong, 2020. "Combustion stability monitoring through flame imaging and stacked sparse autoencoder based deep neural network," Applied Energy, Elsevier, vol. 259(C).
    6. Fichera, A. & Pagano, A., 2006. "Application of neural dynamic optimization to combustion-instability control," Applied Energy, Elsevier, vol. 83(3), pages 253-264, March.
    7. Li, Xinyan & Huang, Yong & Zhao, Dan & Yang, Wenming & Yang, Xinglin & Wen, Huabing, 2017. "Stability study of a nonlinear thermoacoustic combustor: Effects of time delay, acoustic loss and combustion-flow interaction index," Applied Energy, Elsevier, vol. 199(C), pages 217-224.
    8. Laera, D. & Campa, G. & Camporeale, S.M., 2017. "A finite element method for a weakly nonlinear dynamic analysis and bifurcation tracking of thermo-acoustic instability in longitudinal and annular combustors," Applied Energy, Elsevier, vol. 187(C), pages 216-227.
    9. Wu, Gang & Jin, Xiao & Li, Qiangtian & Zhao, He & Ahmed, I.R. & Fu, Jianqin, 2016. "Experimental and numerical definition of the extreme heater locations in a closed-open standing wave thermoacoustic system," Applied Energy, Elsevier, vol. 182(C), pages 320-330.
    10. Li, Xinyan & Zhao, Dan & Yang, Xinglin & Wen, Huabing & Jin, Xiao & Li, Shen & Zhao, He & Xie, Changqing & Liu, Haili, 2016. "Transient growth of acoustical energy associated with mitigating thermoacoustic oscillations," Applied Energy, Elsevier, vol. 169(C), pages 481-490.
    11. Zhao, Dan & Li, Lei, 2015. "Effect of choked outlet on transient energy growth analysis of a thermoacoustic system," Applied Energy, Elsevier, vol. 160(C), pages 502-510.
    12. Joo, Seongpil & Choi, Jongwun & Lee, Min Chul & Kim, Namkeun, 2021. "Prognosis of combustion instability in a gas turbine combustor using spectral centroid & spread," Energy, Elsevier, vol. 224(C).
    13. Zhang, Zhiguo & Zhao, Dan & Dobriyal, R. & Zheng, Youqu & Yang, Wenming, 2015. "Theoretical and experimental investigation of thermoacoustics transfer function," Applied Energy, Elsevier, vol. 154(C), pages 131-142.
    14. Wu, Gang & Lu, Zhengli & Pan, Weichen & Guan, Yiheng & Ji, C.Z., 2018. "Numerical and experimental demonstration of actively passive mitigating self-sustained thermoacoustic oscillations," Applied Energy, Elsevier, vol. 222(C), pages 257-266.
    15. Fichera, A. & Pagano, A., 2009. "Monitoring combustion unstable dynamics by means of control charts," Applied Energy, Elsevier, vol. 86(9), pages 1574-1581, September.
    16. Sun, Yuze & Zhao, Dan & Ni, Siliang & David, Tim & Zhang, Yang, 2020. "Entropy and flame transfer function analysis of a hydrogen-fueled diffusion flame in a longitudinal combustor," Energy, Elsevier, vol. 194(C).
    17. Li, Shen & Li, Qiangtian & Tang, Lin & Yang, Bin & Fu, Jianqin & Clarke, C.A. & Jin, Xiao & Ji, C.Z. & Zhao, He, 2016. "Theoretical and experimental demonstration of minimizing self-excited thermoacoustic oscillations by applying anti-sound technique," Applied Energy, Elsevier, vol. 181(C), pages 399-407.

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