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Combustion instability analysis on a partially premixed swirl combustor by thermoacoustic experiments and modeling

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  • Zhu, Rongjun
  • Pan, Deng
  • Ji, Chenzhen
  • Zhu, Tong
  • Lu, Pengpeng
  • Gao, Han

Abstract

The combustion instability of a partially premixed swirl burner is investigated by experimental tests and numerical modeling. The experimental results show that the combustion dynamics of the partially premixed swirl combustor under different thermal power rates and equivalence ratios can be classified into three regimes: combustion noise, intermittent oscillation and limit cycle oscillation. The characteristics of each combustion regime are clarified: combustion noises occur with small pressure oscillation amplitudes and unapparent frequencies when the equivalence ratio approaches 1; the limit cycle oscillations present in strong single frequencies within the relative lower (6223–8563) and higher (10,796–13536) ranges of Re number; the intermittent oscillations observed within a middle range (8634–10796) show multiple peaks in their spectrums. To obtain the relationship between flame transfer function and thermoacoustic modes of the combustor, the CFD/system identification and low order thermoacoustic network model are developed. The thermoacoustic modes are found to be influenced by the interactions between natural acoustic mode and flame response factors. The modeling results reveal that the intermittent oscillations show two modes with positive growth rates, while the limit cycle oscillations are dominated by one mode. Moreover, the combustion instability is found more sensitive to FTF but not acoustic boundary in the modeling.

Suggested Citation

  • Zhu, Rongjun & Pan, Deng & Ji, Chenzhen & Zhu, Tong & Lu, Pengpeng & Gao, Han, 2020. "Combustion instability analysis on a partially premixed swirl combustor by thermoacoustic experiments and modeling," Energy, Elsevier, vol. 211(C).
  • Handle: RePEc:eee:energy:v:211:y:2020:i:c:s0360544220319915
    DOI: 10.1016/j.energy.2020.118884
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    References listed on IDEAS

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    1. Song, Heng & Lin, Yuzhen & Han, Xiao & Yang, Dong & Zhang, Chi & Sung, Chih-Jen, 2020. "The thermoacoustic instability in a stratified swirl burner and its passive control by using a slope confinement," Energy, Elsevier, vol. 195(C).
    2. 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).
    3. Rashwan, Sherif S. & Mohany, Atef & Dincer, Ibrahim, 2020. "Investigation of self-induced thermoacoustic instabilities in gas turbine combustors," Energy, Elsevier, vol. 190(C).
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    Cited by:

    1. Zong, Chao & Ji, Chenzhen & Cheng, Jiaying & Zhu, Tong & Guo, Desan & Li, Chengqin & Duan, Fei, 2022. "Toward off-design loads: Investigations on combustion and emissions characteristics of a micro gas turbine combustor by external combustion-air adjustments," Energy, Elsevier, vol. 253(C).
    2. Fan, Gaofeng & Chen, Meijing & Wang, Chang’an & Feng, Qinqin & Sun, Yunlei & Xu, Jie & Du, Yongbo & Che, Defu, 2024. "Numerical study on oxy-fuel combustion characteristics of industrial furnace firing coking dry gas," Energy, Elsevier, vol. 286(C).
    3. Yunpeng Liu & Yingwen Yan & Shoutang Shang & Hongyu Ma, 2023. "Acoustic Triggering of Combustion Instability in a Swirling Flame: An Experimental Study," Energies, MDPI, vol. 16(14), pages 1-20, July.
    4. Chen Yang & Yong Liu & Xiang Zhang & Hao Li & Xinkun Ge & Feng Jin & Chongyang Liu, 2023. "Experimental Study on Flame Response Characteristics of a Non-Premixed Swirl Model Combustor," Energies, MDPI, vol. 16(19), pages 1-19, September.
    5. Baraiya, Nikhil A. & Ramanan, Vikram & Nagarajan, Baladandayuthapani & Vegad, Chetankumar S. & Chakravarthy, S.R., 2023. "Dynamic mode decomposition of syngas (H2/CO) flame during transition to high-frequency instability in turbulent combustor," Energy, Elsevier, vol. 263(PD).
    6. Kwak, Sanghyeok & Choi, Jaehong & Lee, Min Chul & Yoon, Youngbin, 2021. "Predicting instability frequency and amplitude using artificial neural network in a partially premixed combustor," Energy, Elsevier, vol. 230(C).
    7. Jiangang Hao & Yang Ding & Chen Yang & Xuhuai Wang & Xiang Zhang & Yong Liu & Feng Jin, 2022. "Study on Unstable Combustion Characteristics of Model Combustor with Different Swirler Schemes," Energies, MDPI, vol. 15(23), pages 1-20, November.

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