Scale-up prediction of supercritical CO2 circulating fluidized bed boiler based on adaptive PSO-SVM

Recent Advances in Particle Fluidization

“…This can result in more creative and efficient designs. For example, Cui et al [61] proposed a scale-up prediction model based on an adaptive particle swarm optimization support vector machine (APSO-SVM) for the combustion characteristics of an S-CO 2 CFB boiler. Their method effectively predicts the boiler in the scaling process from the standpoint of boiler capacity, optimizes the scale-up regularity expression through numerical simulations, greatly reduces the time, cost, and applicability of enlarged design by modifying complex numerical simulations, and lays the foundation for S-CO 2 CFB boiler application in the industrial field with acceptable operation accuracy.…”