Abstract
Chemical reactor networks (CRN) models were developed for lean premixed gas turbine combustor to predict the NOx emissions. In this study, CRN models are constructed based on the computational fluid dynamics (CFD) for both non-pilot and pilot flame cases. Predictions of NOx emissions in combustor with the developed models were made by using CHEMKIN code and full GRI 3.0 chemical kinetic mechanism in the CRN. The predicted results agree reasonably well with the experimental data obtained from a simplified test combustor for the GE7FA gas turbine. The effects of overall equivalence ratio, swirl angle and pilot fuel ratio on the NOx emissions were investigated.
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This paper was recommended for publication in revised form by Associate Editor Oh Chae Kwon
Do Yong Lee received the B.S. (2008) and M.S. (2010) from Konkuk University in seoul, Korea. Currently he is a chemical reaction engineer in the Kwtech. His recent study has focused on reaction and fluidized bed.
Jung Kyu Park received the B.S. (1981) from Seoul National University in Seoul, Korea. M.S. (1984) and Ph.D. (1987) from the University of Wisconsin-Madison. He is currently a professor in the Department of Mechanical Engineering in Konkuk University. His specialty is combustion and his recent research has focused on reduction of pollutant emissions from diesel engine and gas turbine.
Jae Min Jin is currently a B.S. student at the Department of Mechanical Engineering, Konkuk University. His recent research has concentrated on reactions and pollutant emissions from the gas turbine.
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Lee, D., Park, J., Jin, J. et al. A simulation for prediction of nitrogen oxide emissions in lean premixed combustor. J Mech Sci Technol 25, 1871–1878 (2011). https://doi.org/10.1007/s12206-011-0425-9
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DOI: https://doi.org/10.1007/s12206-011-0425-9