Computational investigation of hydrodynamics, coal combustion and NOx emissions in a tangentially fired pulverized coal boiler at various loads

Study on Combustion Characteristics and NOx Formation in 600 MW Coal-Fired Boiler Based on Numerical Simulation

“…In recent years, some researchers have proposed to establish a prediction model of NOx concentration at the economizer outlet according to the operational parameters, and the variation in the NOx concentration at the economizer outlet can be predicted when the operating conditions begin to change, so as to coordinate the adjustment of ammonia injection and make timely operational adjustments. This idea has been generally recognized, and the prediction model about NOx is considered to be an effective means to guide the ammonia injection of the SCR denitrification facility [3]. It is much too complicated to establish the prediction model of NOx, because its input parameters of the prediction model are directly related to the factors affecting the furnace combustion, such as the coal consumption, the air distribution, the oxygen content, etc.…”

“…In 2019, Shi et al established an artificial neural network (ANN) model for predicting the boiler operation and the NOx emission characteristics according to the simulated data and the boiler operational data [27]. The model provided a good prediction of the thermal efficiency and the NOx emission of a 660 MW coal-fired boiler, and the average errors were only 0.04% and 3.56 mg/Nm 3 , respectively. The study results indicated that the CFD numerical simulation data contributed to the generalization ability of the neural network models.…”