Abstract
The influence of the volatile matter content on fuel NO emissions from a coal-burning drop-tube furnace (DTF) was analyzed by means of a numerical model for 25 different coals utilized by Korean power plants. The numerical results were fully validated against experimental results obtained using an actual DTF. The results show that the numerical model incorporating the chemical percolation devolatilization submodel is more accurate than that incorporating the two-competing-rates submodel to predict combustion and emission, particularly the devolatilization process and NO. Furthermore, the conversion ratio of fuel N to NO decreases with increasing volatile matter content because the volatile matter releases HCN, which furthers NO reduction. The destruction ratio increases with the amount of HCN produced during the devolatilization process. This paper indicates that HCN is the predominant intermediate species and the volatile matter content has a significant impact on NO emissions from the combustion of coal.
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