Correlation Analysis of Pyrolysis Yield Using a Linear Regression Model

Abstract

The paper focuses on the impact of pyrolysis combination and mixture ratio on the yield of various pyrolysis products, such as tar, water, coke residue, and syngas, in the field of catalytic reaction analysis for pyrolysis product generation. Initially, data preprocessing was carried out, outlier detection and missing value processing were respectively performed, and a model was established to explain the relationship between mixing ratio and yield. Descriptive statistical analysis was employed to gain an initial understanding of the overall data situation. Subsequently, statistical indices such as mean, range, and standard deviation of pyrolysis products for each combination were quantified to unveil the extent of influence of different mixing ratios on yield. The correlation analysis and linear regression model were then used to establish the relationship model between mixture ratio and yield, with further explanation of the correlation and presentation of the functional expression. Finally, mathematical formulas and graphs were utilized to analyze the linear trend between product and mixing ratio under various pyrolysis combinations. This study offers robust data analysis and modeling support for comprehending the impact of different mixing ratios on pyrolysis product yield.