Analysis on Combustion Instability Characteristics of Model Swirl Combustor With Gas Fuel
HAO Jiangang,
GONG Wenming,
DING Yang,
ZHENG Danwei,
LIU Yong
Affiliations
HAO Jiangang
Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, Zhejiang Province, China
GONG Wenming
Jiangsu Huadian Qishuyan Power Generation Co., Ltd., Changzhou 213011, Jiangsu Province, China
DING Yang
Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, Zhejiang Province, China
ZHENG Danwei
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
LIU Yong
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
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.
