title: Simulation of biomass gasification with a hybrid neural network model.
abstract: Gasification of several types of biomass has been conducted in a fluidized bed gasifier at atmospheric pressure with steam as the fluidizing medium. In order to obtain the gasification profiles for each type of biomass, an artificial neural network model has been developed to simulate this gasification processes. Model-predicted gas production rates in this biomass gasification processes were consistent with the experimental data. Therefore, the gasification profiles generated by neural networks are considered to have properly 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 herbaceous ones.
authors.affiliation: Department of Thermal Engineering, Tsinghua University, Beijing 100084, People's Republic of China. bguo@ucdavis.edu, guob@te.tsinghua.edu.cn
authors.forename: B
authors.initials: B
authors.lastname: Guo
authors.forename: D
authors.initials: D
authors.lastname: Li
authors.forename: C
authors.initials: C
authors.lastname: Cheng
authors.forename: Z
authors.initials: Z
authors.lastname: Lü
authors.forename: Y
authors.initials: Y
authors.lastname: Shen
mesh_terms: D018533:Biomass; D001698:Biomedical Engineering; D019149:Bioreactors; D001709:Biotechnology; D005740:Gases; D008954:Models, Biological; D016571:Neural Networks, Computer
chemical_list: D005740:Gases