Method for predicting gasification reaction characteristics of biomass char

Abstract

The present disclosure provides a method for predicting gasification characteristics of biomass char, including the following steps: step 10): acquiring training data of biomass char gasification; step 20): establishing a BP neural network model including an input layer, a hidden layer and an output layer, input parameters of the BP neural network model being char making temperature, char specific surface area and gasification time, and output parameters being char conversion rate; step 30): training the BP neural network model by adopting the training data, and optimizing the BP neural network model by adopting a particle swarm optimization algorithm to obtain a BP neural network model with high prediction precision; and step 40): predicting the char conversion rate by using the BP neural network model with high prediction precision. According to the method, high-fitness simulation can be performed on the gasification process of biomass char, and the char gasification characteristics can be accurately predicted.

Dependencies are inferred from the claim text.