Research Progress of Biomass Pyrolysis for High-value Utilization Based on Machine Learning
Biomass pyrolysis was an efficient way of utilizing biomass resources.However,the pyrolysis process involved numerous influencing factors,making it difficult to fully understand the correlation between the factors and the pyrolysis results through traditional methods.To solve this problem,researchers had utilized machine learning(ML)methods to establish biomass pyrolysis models and conducted in-depth research on the optimization and application of ML models.Given this,on the basis of a brief introduction of ML methods,this review summarized the relevant work of applying ML methods to establish biomass pyrolysis process models from three aspects:pyrolysis kinetics parameters,pyrolysis product yields,and characteristics of pyrolysis products,and looked for the correlations between pyrolysis conditions and pyrolysis results.Additionally,the problems existed in ML research in the field of biomass pyrolysis and future research directions were discussed,with the goal of further promoting the development and application of ML methods in the field of biomass pyrolysis.
万方数据
维普
