M.M. Nekhamin
2020 Energy Technologies & Resource Saving  
Numerical modeling of processes in the furnaces of power boilers serves as a tool for assessing the impact of the proposed structural or operational changes on the ongoing processes and characteristics of the boiler. Using the ANSYS FLUENT program, three-dimensional numerical simulation of anthracite combustion processes in the furnace of a TPP-210A boiler with liquid slag removal was performed. The initial data for the calculation — component costs, composition and calorific value of coal —
more » ... taken from the boiler passport for the nominal operating mode. Air suction into the furnace has been taken into account. As the boundary conditions on the walls of the furnace, their thermal resistances are set, the values of which are determined by the results of the zone calculation of the furnace by the normative method. The turbulence model was used in the modification of a realizable, non-premixed combustion model of particle combustion in a single mixture fractions formulation, discrete phase model of the movement of coal particles, P-1 emission model, two-competing-rates model of volatile output, kinetics/diffusion-limited model of coal combustion. Obtained as a result of the distribution of heat flux densities and wall surface temperatures («contaminants») within each of the zones is substantially uneven, which confirms the validity of the type of boundary condition used on the walls. The change in the height of the furnace of the mass-average temperature of the flow, the heat flux densities into the walls, the distribution of the mechanical underburning of the fuel along the height of the furnace according to the simulation results are compared with the data of a well-known experimental study of S.L.Shagalova and I.N.Shnitser processes in the boiler under consideration, as well as with the data of the zone calculation of the boiler by the normative method. On this basis, a conclusion was made about satisfactory simulation results. Ref. 12, Fig. 7, Tab. 3.
doi:10.33070/etars.3.2020.03 fatcat:ziigttrw4vebholntbr7z3gj3a