Coupling of Population Balance Model With Reactor Network in Pulverized Coal Combustion
The generation mechanism of particles during pulverized coal combustion is complex and significantly influenced by the flow field.Therefore,developing a particle generation model coupled with the flow field is crucial for controlling particle emissions in the flexible operation of coal-fired power plants under carbon neutrality constraints.This article proposes a modeling approach that couples a group balance model framework for particle generation with a reactor network model,allowing for the characterization of the influence of flow field characteristics on particle evolution kinetics with reasonable computational cost.For the study of particle evolution during pulverized coal combustion,a one-dimensional cascaded reactor network model is established,which accurately reproduces the key temperature distribution characteristics of the flow field through adjustment of model parameters.Furthermore,the coupling model of group balance and reactor network demon-strates good predictive capability for the particle size distribution characteristics of fine particles during coal combustion.