An Experimental Investigation of Hydrogen Combustion in a Direct Injection Spark Ignition Natural Gas Engine

Author(s):  
M. Adlan Abdullah ◽  
A. Aziz A. Rashid
2021 ◽  
Vol 222 ◽  
pp. 106961
Author(s):  
Menghan Li ◽  
Xiaoyan Wang ◽  
Demin Jia ◽  
Chengjun Wang ◽  
Ruxiao Wang ◽  
...  

Energy ◽  
2018 ◽  
Vol 163 ◽  
pp. 660-681 ◽  
Author(s):  
Menghan Li ◽  
Qiang Zhang ◽  
Xiaori Liu ◽  
Yuxian Ma ◽  
Qingping Zheng

Author(s):  
Joohan Kim ◽  
Riccardo Scarcelli ◽  
Sibendu Som ◽  
Ashish Shah ◽  
Munidhar Biruduganti ◽  
...  

Abstract Lean combustion in an internal combustion engine is a promising strategy to increase thermal efficiency by leveraging a more favorable specific heat ratio of the fresh mixture and simultaneously suppressing the heat losses to the cylinder wall. However, unstable ignition events and slow flame propagation at fuel-lean condition lead to high cycle-to-cycle variability and hence limit the high-efficiency engine operating range. Pre-chamber ignition is considered an effective concept to extend the lean operating limit, by providing spatially distributed ignition with multiple turbulent flame-jets and enabling faster combustion rate compared to the conventional spark ignition approach. From a numerical modeling perspective, to date, still the science base and available simulation tools are inadequate for understanding and predicting the combustion processes in pre-chamber ignited engines. In this paper, conceptually different RANS combustion models widely adopted in the engine modeling community were used to simulate the ignition and combustion processes in a medium-duty natural gas engine with a pre-chamber spark-ignition system. A flamelet-based turbulent combustion model, i.e., G-equation, and a multi-zone well-stirred reactor model were employed for the multi-dimensional study. Simulation results were compared with experimental data in terms of in-cylinder pressure and heat release rate. Finally, the analysis of the performance of the two models is carried out to highlight the strengths and limitations of the two formulations respectively.


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