Simulation of biomass gasification with a hybrid neural network model. Academic Article

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

• Guo, Bing

published proceedings

• Bioresour Technol

author list (cited authors)

• Guo, B., Li, D., Cheng, C., L, Z., & Shen, Y.

citation count

• 86

complete list of authors

• Guo, B||Li, D||Cheng, C||Lü, Z||Shen, Y

publication date

• January 2001

publisher

• Elsevier  Publisher

published in

• n0960-8524ISSN  Journal

keywords

• Biomass
• Biomedical Engineering
• Bioreactors
• Biotechnology
• Gases
• Models, Biological
• Neural Networks, Computer

PubMed Central ID

• 11131803

Digital Object Identifier (DOI)

• 10.1016/s0960-8524(00)00106-1

start page

• 77

end page

• 83

volume

• 76

issue

• 2

URL

• http://dx.doi.org/10.1016/s0960-8524(00)00106-1

user-defined tag

• 7 Affordable and Clean Energy