Simulation of biomass gasification with a hybrid neural network model

Bing Guo, Dingkai Li, Congming Cheng, Zi A. Lü, Youting Shen

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61 Citations (Scopus)


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. Copyright (C) 2000.

Original languageEnglish
Pages (from-to)77-83
Number of pages7
JournalBioresource Technology
Issue number2
Publication statusPublished - Jan 2001
Externally publishedYes



  • Biomass
  • Fluidized bed
  • Gasification
  • Neural network
  • Simulation

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Food Science
  • Process Chemistry and Technology
  • Applied Microbiology and Biotechnology

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