Experimental Research and Mathematical Modelling for Coal Reburning in Furnace  

作　　者：XIANG Jun SU Sheng SUN Lu-shi SUN Xue-xi ZHANG Zhong-xiao ZHU Ji-mu 

机构地区：[1]State Key Laboratory of Coal Combustion, Huazhong University of Sci. ＆ Tech., Wuhan, Hubei 430074, China [2]University of Shanghai for Sci. ＆ Tech., Shanghai 200093, China [3]Shanghai Bao Steel Power Plant, Shanghai 200971, China

出　　处：《Journal of China University of Mining and Technology》2006年第3期301-307,共7页中国矿业大学学报（英文版）

基　　金：Project 2004CB217704-4 supported by the Special Funds for Major State Basic Research Projects of China and 306012 by the Key Grant Project of Chinese Ministry of Education

摘　　要：Reburning technology is one of the most cost-effective NOx reduction strategies for coal combustion systems. In this paper, a nitric oxide submodel incorporated into a comprehensive coal combustion model was developed for predicting NOx reduction in a 93 kW laboratory-scale coal combustion furnace by reburning. This NO submodel, including reburning mechanism, requires the solution of only two transport equations to model the behavior of NO reduction in the reburning process. A number of experiments have been performed in the same furnace, and the experimental data obtained from the optimized reburn configuration was used to validate the model. Measurements and predictions both show above 50% reduction of NO emissions for the optimized reburning process. Profile comparisons show that the predicted temperature and oxygen concentration match well with the measurements, and the general trend of predicted NO concentration is very similar to that measured. The results of this study show that the present nitric oxide submodel depicts quite well the observed behaviour of NO annihilation in the reburning process. It is expected that this usable and computationally economic model represents a useful tool to simulate the gaseous fuel reburning process for the researchers concerned with practical combustors.Reburning technology is one of the most cost-effective NOx reduction strategies for coal combustion systems In this paper, a nitric oxide submodel incorporated into a comprehensive coal combustion model was developed for predicting NOx reduction in a 93 kW laboratory-scale coal combustion furnace by reburning. This NO submodel, including reburning mechanism, requires the solution of only two transport equations to model the behavior of NO reduction in the reburning process. A number of experiments have been performed in the same furnace, and the experimental data obtained from the optimized reburn configuration was used to validate the model. Measurements and predictions both show above 50% reduction of NO emissions for the optimized reburning process. Profile comparisons show that the predicted temperature and oxygen concentration match well with the measurements, and the general trend of predicted NO concentration is very similar to that measured. The results of this study show that the present nitric oxide submodel depicts quite well the observed behaviour of NO annihilation in the reburning process. It is expected that this usable and computationally economic model represents a useful tool to simulate the gaseous fuel reburning process for the researchers concerned with practical combustors.

关 键 词：coal combustion nitric oxide REBURNING experimental research mathematical modeling 

分 类 号：TK223[动力工程及工程热物理—动力机械及工程]