摘要

A BP neural network was built to simulate the pyrolysis gasification process of biomass in a fixed-bed reactor by using Matlab neural network toolbox. Five input variables, i. e. residence time, initial moisture of biomass, pyrolysis gasification temperature, the kinds of catalyst and the catalyst weight/biomass weight ratios, and seven output variables, i. e. gas yield, liquid yield, solid yield and four kinds of gas component were selected. 54 groups experimental data were taken as training and checking samples. The results show that model-predicted results of seven output variables are in sound agreement with the experimental data. Thereby the neural network model is considered to properly reflect the real pyrolysis gasification process of a biomass. The feasibility and effectiveness of the BP based model are also presented.

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