Research on the co-pyrolysis of biomass and coal

Abstract Co-pyrolysis of biomass and coal has attracted much attention as a potential energy conversion technology. In this paper, the significant effects of n-hexane insoluble substance (INS) on tar, water, and coke residue yields were analyzed in depth using statistical analysis. With INS and mixing ratio as independent variables, multivariate analysis of variance (ANOVA) was used to comprehensively investigate the effects of the interaction between the two on the yields of different pyrolysis products, revealing the significant interaction between different pyrolysis products. The genetic algorithm was used to establish an optimization model to optimize the mixing ratios of the co-pyrolysis, and the considerable differences between the experimental and theoretically calculated values of the product yields of the co-pyrolysis compounds were analyzed by statistical tests, and subgroup analyses were carried out to determine the specific differences under different mixing ratios. CNN prediction model was established, and model optimization confirmed the differences between the experimental and theoretically calculated values for different pyrolytic coupling ratio-specific ratios by data validation and subgroup analysis. The further extension and optimization of the model provide a new theoretical basis and idea for further research on the co-pyrolysis of biomass and coal, which can help to improve the energy conversion efficiency and product quality.