Simulation of biomass gasification with a hybrid neural network model

被引:94
作者
Guo, B [1 ]
Li, DK [1 ]
Cheng, CM [1 ]
Lü, ZA [1 ]
Shen, YT [1 ]
机构
[1] Tsing Hua Univ, Dept Thermal Engn, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
biomass; gasification; neural network; simulation; fluidized bed;
D O I
10.1016/S0960-8524(00)00106-1
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
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. (C) 2000 Published by Elsevier Science Ltd.
引用
收藏
页码:77 / 83
页数:7
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