A numerical study on NOx formation in laminar counterflow CH4/air triple flames

2005 ◽  
Vol 143 (3) ◽  
pp. 282-298 ◽  
Author(s):  
Hongsheng Guo ◽  
Fengshan Liu ◽  
Gregory J. Smallwood
Author(s):  
Shan Li ◽  
Shanshan Zhang ◽  
Lingyun Hou ◽  
Zhuyin Ren

Modern gas turbines in power systems employ lean premixed combustion to lower flame temperature and thus achieve low NOx emissions. The fuel/air mixing process and its impacts on emissions are of paramount importance to combustor performance. In this study, the mixing process in a methane-fired model combustor was studied through an integrated experimental and numerical study. The experimental results show that at the dump location, the time-averaged fuel/air unmixedness is less than 10% over a wide range of testing conditions, demonstrating the good mixing performance of the specific premixer on the time-averaged level. A study of the effects of turbulent Schmidt number on the unmixedness prediction shows that for the complex flow field involved, it is challenging for Reynolds-Averaged Navier-Stokes (RANS) simulations with constant turbulent Schmidt number to accurately predict the mixing process throughout the combustor. Further analysis reveals that the production and scalar dissipation are the key physical processes controlling the fuel/air mixing. Finally, the NOx formation in this model combustor was analyzed and modelled through a flamelet-based approach, in which NOx formation is characterized through flame-front NOx and its post-flame formation rate obtained from one-dimensional laminar premixed flames. The effect of fuel/air unmixedness on NOx formation is accounted for through the presumed probability density functions (PDF) of mixture fraction. Results show that the measured NOx in the model combustor are bounded by the model predictions with the fuel/air unmixedness being 3% and 5% of the maximum unmixedness. In the context of RANS, the accuracy in NOx prediction depends on the unmixedness prediction which is sensitive to turbulent Schmidt number.


2018 ◽  
Author(s):  
Hesameddin Fatehi ◽  
Eric Wingren ◽  
Tommaso Lucchini ◽  
Gianluca D'Errico ◽  
Anders Karlsson ◽  
...  

2013 ◽  
Vol 284-287 ◽  
pp. 861-866 ◽  
Author(s):  
Chun Lang Yeh

Performance of a CO boiler has a detrimental influence on the operation and production of related industries. In a previous study, we have presented a numerical study of the influence of refractory thickening on the heat transfer and fluid flow in a CO boiler. In this paper, the influence of refractory thickening on the reacting flow and DeNOx effect in a CO boiler is discussed. It is found that refractory thickening can reduce the temperature and the skin friction in the DeNOx section. Furthermore, NOx formation in the DeNOx section is also alleviated by refractory thickening.


2011 ◽  
Vol 25 (11) ◽  
pp. 2943-2949 ◽  
Author(s):  
Kang Woo Chun ◽  
Hun-Jik Chung ◽  
Suk Ho Chung ◽  
Jae Hyuk Choi

2010 ◽  
Vol 49 (2) ◽  
pp. 443-453 ◽  
Author(s):  
Thomas Rogaume ◽  
Franck Richard ◽  
Timoléon Andzi Barhe ◽  
Jose L. Torero ◽  
Patrick Rousseaux

Author(s):  
B Li ◽  
H T Gao

With the advantages of ultra-low emissions of oxides of nitrogen (NOX) and high thermal efficiency, the homogeneous charge compression ignition (HCCI) mode applied to marine diesel engine is expected to be one of the technical solutions to meet the International Maritime Organization (IMO) MARPOL73/78 Convention-Annex VI Amendment Tier III requirement. According to the NOX chemical reaction mechanism, taking a marine diesel engine as the application object, the numerical study on the NOX formation characteristics of n-heptane for HCCI combustion process is performed. The results indicate that NO is usually the main component in the generation and emissions of NOX with the n-heptane HCCI mode. The combustor temperature plays more important role in the proportion of NO generation and emission. Compared with the experimental data of conventional marine diesel engine, the emission reduction rate of NOX can achieve an average of more than 95% in using HCCI technology.


2021 ◽  
Author(s):  
Teng Guo ◽  
Junjun Guo ◽  
Tai Zhang ◽  
Fan Hu ◽  
Pengfei Li ◽  
...  

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