Advances and Challenges in Simulating Combustion and Emission Formation in Large Diesel Engines
This paper gives an overview of current possibilities and challenges in precisely simulating the engine cycle of large Diesel engines. Both the increasing demands of emission legislation and competition are forcing greater efforts to be made in the design phase to predict the emissions and efficiency of engine concepts for large Diesel engines. In recent years, the development of simulation tools has allowed great progress to be made in prediction. However, due to the highly complex processes during combustion and emission formation in Diesel operation very high demands are placed on the employed tools. While 3D CFD simulation is used to optimize the details of the combustion and emission formation processes in the combustion chamber, the 0D and 1D engine cycle simulation are applied to select the concepts and to pre-optimize important engine parameters. One great advantage of 0D and 1D models is their short calculation time, which allows the investigation of a great amount of variations in parameters. This paper investigates, compares and evaluates several 0D, quasidimensional and 3D simulation models for calculating the burn rate and the formation of soot and NOx. The 0D combustion model evaluated (LEC-DCM) is based on a global description of the injection spray, while the quasi-dimensional model uses a multi-zone approach (MZCM). The assessment of the 3D combustion modeling comprises the extended coherent flame model (ECFM-3Z). Besides the combustion models one key factor is the injection rate history that provides the foundation for the accurate simulation. While the simulation of the NOx emission is mainly influenced by the quality of the burn rate model, the simulation of the soot formation and oxidation processes depends on significantly more parameters. Different models in 0D as well as in 3D simulation were investigated. In addition, optical measurements on the single-cylinder research engine are used to validate the soot models.
Andreas Wimmer Gerhard Pirker Michael Engelmayer Martin Gufler Franz Chmela Gernot Hirschl
Graz University of Technology - Large Engines Competence Center,Austria Graz University of Technology,Austria Kompetenzzentrum Das virtuelle Fahrzeug Forschungsgesellschaft mbH,Austria
国际会议
上海
英文
1-15
2013-05-13（万方平台首次上网日期，不代表论文的发表时间）