Engine Modeling of HCCI Transient Operations

Author(s):  
Yoshishige Ohyama
Author(s):  
Xianyi Zeng ◽  
Linfeng Gou ◽  
Yawen Shen ◽  
Wenxin Shao ◽  
Jang Yang
Keyword(s):  

2007 ◽  
Vol 12 (6) ◽  
pp. 581-589 ◽  
Author(s):  
Nan Jia ◽  
Jihong Wang ◽  
Keith Nuttall ◽  
Jianlin Wei ◽  
Hongming Xu ◽  
...  

2018 ◽  
Author(s):  
Simon Malcher ◽  
Michael Bargende ◽  
Michael Grill ◽  
Ulrich Baretzky ◽  
Hartmut Diel ◽  
...  

2014 ◽  
Vol 875-877 ◽  
pp. 929-933 ◽  
Author(s):  
Hui Meng ◽  
Li Qiang Wang ◽  
Zong Qi Han ◽  
Shu Bin Lei

The intake system sub-model, the fuel dynamics sub-model and the power output sub-model are studied in this paper based on Elbert Hendricks engine mean model. Engine output characteristics using computational model is established in MATLAB/Simulink. Parameter of the modeling and simulation process is obtained through experiments, and finally, the engine bench test is done, and compared it with the simulation curve in same conditions. The results show that the model calculation has smaller error, higher precision, and which can meet the basic requirements of the engine modeling in actual control.


2018 ◽  
Vol 9 (1) ◽  
pp. 219-233 ◽  
Author(s):  
Kay Sommerwerk ◽  
Benedikt Michels ◽  
Matthias C. Haupt ◽  
Peter Horst
Keyword(s):  

Author(s):  
Keishaly Cabrera Cruz ◽  
Paolo Pezzini ◽  
Lawrence Shadle ◽  
Kenneth M. Bryden

Abstract Compressor dynamics were studied in a gas turbine – fuel cell hybrid power system having a larger compressor volume than traditionally found in gas turbine systems. This larger compressor volume adversely affects the surge margin of the gas turbine. Industrial acoustic sensors were placed near the compressor to identify when the equipment was getting close to the surge line. Fast Fourier transform (FFT) mathematical analysis was used to obtain spectra representing the probability density across the frequency range (0–5000 Hz). Comparison between FFT spectra for nominal and transient operations revealed that higher amplitude spikes were observed during incipient stall at three different frequencies, 900, 1020, and 1800 Hz. These frequencies were compared to the natural frequencies of the equipment and the frequency for the rotating turbomachinery to identify more general nature of the acoustic signal typical of the onset of compressor surge. The primary goal of this acoustic analysis was to establish an online methodology to monitor compressor stability that can be anticipated and avoided.


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