Simulation of biomass gasification with a hybrid neural network model

Gasification of several types of biomass has been conducted in a fluidized bed gasifier at atmospheric pressure with steam as the fluidizing medium. I n order to obtain the gasification profiles for each type of biomass, an ar tificial neural network model has been developed to simulate this gasificat ion processes. Model-predicted gas production rates in this biomass gasific ation processes were consistent with the experimental data. Therefore, the gasification profiles generated by neural networks are considered to have p roperly reflected the real gasification process of a biomass. Gasification profiles identified by neural network suggest that gasification behavior of arboreal types of biomass is significantly different from that of herbaceo us ones. (C) 2000 Published by Elsevier Science Ltd.