In order to control NO
x
emissions
and
meet China’s ultralow emission standards, a numerical simulation
based on the computational fluid dynamics (CFD) approach is performed
for the optimization of the reductant injection volume, number of
injection sources, distribution, and injection direction for the flue
gas denitrification process of a circulating fluidized bed boiler
(CFB) blended with low-water content biomass in a 168 MW unit of a
thermal power plant. Using the target power plant boiler entity as
a template, a simplified geometric model is established, 1:1, and
the mass fractions of each flue gas component set by the inlet boundary
conditions are O22, H2O11.6, CO216.2%,
and NO0.05%(about 134 ppm), and the reduction reactions under different
optimized conditions are numerically simulated using the SNCR model
in ANSYS Fluent 2021 R1. The simulation results under each condition
were analyzed. The results show that the optimal ammonia-to-nitrogen
ratio should be taken as NSR = 1.25, the denitrification efficiencies
of 81.00, 81.63, and 82.74% at the three outlets are high, and the
ammonia escapes of 1.76, 2.08, and 9.42 mg/s are within a reasonable
range; increasing the number of injection sources can significantly
reduce the disturbance of the flue gas flow field by reductant injection;
the direction of injection is parallel to the direction of the flue
gas flow, and the line of the injection source is orthogonal to the
direction of the flue gas flow, which is conducive to the mixing of
the reductant and flue gas; the optimized boiler denitrification efficiency
reaches 74.2%, meeting the ultralow emission requirements of nitrogen
oxides and ammonia escape.