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Thermo-acoustic behavior of a swirl stabilized diffusion flame with heterogeneous sensors

Author

Listed:
  • Singh, A.V.
  • Yu, M.
  • Gupta, A.K.
  • Bryden, K.M.

Abstract

Next generation combustors are expected to be significantly more efficient while reducing pollutants and eliminating carbon emissions. In such combustors, the challenges of local flow, pressure, chemical composition and thermal signatures as well as their interactions require understanding to seek for optimum performance of the system. The current practice of using a single sensor to measure certain parameters at a single location cannot provide sufficient information to achieve desirable and optimum overall performance of the combustor. A high density sensor network with a large number of sensors will be required in future smart combustors to obtain detailed information on the various ongoing processes within the system. As an initial step towards the development of such sensor networks, the effect of mean and fluctuating temperature distribution on the distribution of acoustic sources within the flame has been examined by using a thermocouple and condenser microphone using swirl stabilized diffusion flames. The measurement of high frequency temperature signal allowed observation of characteristic mean and fluctuating temperatures, and thermal stratification characteristics from within the flame. Specifically mean and fluctuating temperatures, integral and micro-thermal time scales have been determined at various spatial locations in the flame. Investigation of the thermal field and their effect on the localization of acoustic sources in the two flames formed at different equivalence ratios has been examined. The thermal characteristics data obtained provided a better insight on the thermal behavior of co-swirl diffusion flames. Noise spectra for varying air–fuel ratios were determined. Results of time average and fluctuating temperature and sound pressure level spectra showed noise emission in flames to lie near to the regions of high temperature which result in pressure fluctuations within the flame. The results are complemented with 3D CFD simulations that supported the localization of the acoustic sources within the turbulent diffusion flames.

Suggested Citation

  • Singh, A.V. & Yu, M. & Gupta, A.K. & Bryden, K.M., 2013. "Thermo-acoustic behavior of a swirl stabilized diffusion flame with heterogeneous sensors," Applied Energy, Elsevier, vol. 106(C), pages 1-16.
    • Handle: RePEc:eee:appene:v:106:y:2013:i:c:p:1-16
    DOI: 10.1016/j.apenergy.2013.01.044
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    Citations

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    Cited by:

    1. 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.
    2. Zhao, He & Li, Guoneng & Zhao, Dan & Zhang, Zhiguo & Sun, Dakun & Yang, Wenming & Li, Shen & Lu, Zhengli & Zheng, Youqu, 2017. "Experimental study of equivalence ratio and fuel flow rate effects on nonlinear thermoacoustic instability in a swirl combustor," Applied Energy, Elsevier, vol. 208(C), pages 123-131.
    3. 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.
    4. 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.
    5. 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).
    6. 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.
    7. Sun, Yuze & Rao, Zhuming & Zhao, Dan & Wang, Bing & Sun, Dakun & Sun, Xiaofeng, 2020. "Characterizing nonlinear dynamic features of self-sustained thermoacoustic oscillations in a premixed swirling combustor," Applied Energy, Elsevier, vol. 264(C).
    8. Wu, Gang & Lu, Zhengli & Pan, Weichen & Guan, Yiheng & Li, Shihuai & Ji, C.Z., 2019. "Experimental demonstration of mitigating self-excited combustion oscillations using an electrical heater," Applied Energy, Elsevier, vol. 239(C), pages 331-342.
    9. Fattahi, A. & Hosseinalipour, S.M. & Karimi, N. & Saboohi, Z. & Ommi, F., 2019. "On the response of a lean-premixed hydrogen combustor to acoustic and dissipative-dispersive entropy waves," Energy, Elsevier, vol. 180(C), pages 272-291.
    10. 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.
    11. 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.
    12. Singh, A.V. & Eshaghi, A. & Yu, M. & Gupta, A.K. & Bryden, K.M., 2014. "Simultaneous time-resolved fluctuating temperature and acoustic pressure field measurements in a premixed swirl flame," Applied Energy, Elsevier, vol. 115(C), pages 116-127.
    13. 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.
    14. 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.

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