Power Generation Technology ›› 2022, Vol. 43 ›› Issue (6): 927-934.DOI: 10.12096/j.2096-4528.pgt.21093

• Power Generation and Environmental Protection • Previous Articles     Next Articles

Analysis on Combustion Instability Characteristics of Model Swirl Combustor With Gas Fuel

Jiangang HAO1, Wenming GONG2, Yang DING1, Danwei ZHENG3, Yong LIU3   

  1. 1.Huadian Electric Power Research Institute Co. , Ltd. , Hangzhou 310030, Zhejiang Province, China
    2.Jiangsu Huadian Qishuyan Power Generation Co. , Ltd. , Changzhou 213011, Jiangsu Province, China
    3.Aero-engine Thermal Environment and Structure Key Laboratory of Ministry of Industry and Information Technology (College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics), Nanjing 210016, Jiangsu Province, China
  • Received:2022-01-29 Published:2022-12-31 Online:2023-01-03
  • Supported by:
    National Natural Science Foundation of China(91741118)

Abstract:

Combustion instability is easy to occur under lean combustion of gas turbine. Analyzing and predicting the characteristics of unstable combustion is of great significance to ensure the normal operation of combustion chamber. The flame describing function (FDF) of combustion chamber was obtained by numerical simulation, and the thermoacoustic instability characteristics of combustion chamber were predicted by combining the low-order thermoacoustic network model. Firstly, the operating conditions and main frequency of oscillating combustion were obtained through the self-excited oscillation experiment of model swirler combustor.Secondly, by using large eddy simulation (LES), the response characteristics of heat release rate of flame combustion under different inlet disturbances were obtained, and the FDF was fitted. Finally, the low-order thermoacoustic network model of the combustion chamber was established, and the instability characteristics of the combustion chamber were analyzed. The results show that the oscillation characteristics predicted by the model are consistent with the experimental data, indicating that the model can predict the combustion instability characteristics from the mechanism.

Key words: gas turbine combustor, combustion instability, thermoacoustic network model, large eddy simulation (LES), flame describing function (FDF)

CLC Number: