Research on the Impact of n-Hexane Insoluble Substances on Tar Yield Based on Pearson Correlation and Regression Analysis

Abstract

With increasing environmental pressures and energy demands, pyrolysis technology for biomass and waste has garnered attention. This study examines the impact of n-hexane insoluble substances on pyrolysis products, particularly tar yield, through Pearson correlation and multiple regression analyses. During data pre-processing, null values for n-hexane insoluble substances were set to zero, and outliers in product yields were removed to ensure data integrity and accuracy. Results indicate a significant positive correlation between n-hexane insoluble substances and tar yield, while correlations with water and coke slag yields are minimal. Linear and multiple regression models were employed to predict the yields of tar, water, and coke slag, revealing that n-hexane insoluble substances have a statistically significant effect on tar yield. Multiple regression analysis further shows that the production of various products is strongly influenced by both the content of n-hexane insoluble substances and their interaction with other components, especially evident in the interaction effect on coke slag yield. These findings provide new insights into the mechanism by which n-hexane insoluble substances affect product distribution during pyrolysis and offer theoretical support for optimizing the pyrolysis process and enhancing tar yield.