Data-driven analysis of product interactions during biomass pyrolysis
DOI:
https://doi.org/10.54097/q3wqy229Keywords:
Spearman correlation coefficient, Pearson correlation coefficient, ANOVA, frequency analysisAbstract
Pyrolysis technology, crucial for sustainable energy in light of the energy crisis and environmental concerns, was studied using a model compound method involving desulfurization ash with cotton straw and a model compound. This study focused on the catalytic effects of desulfurization ash on the pyrolysis product formation from cotton straw. Key findings include a negative correlation between tar yield and the yields of carbon, water, and syngas, but a positive correlation with other pyrolysis products. Specifically, in the DFA/CE combination, tar and carbon yields were positively correlated, but negatively correlated with syngas and water yields. In DFA/LG, however, tar yield negatively correlated with water and carbon yields. Analysis using visual charts indicated that the H2 yield in DA/CS significantly fluctuated and positively correlated with the mixing ratio. In DFA/CE, a negative correlation existed between H2 yield and the combination ratio. For DFA/LG, the trends of CO and CH4 were consistent with C2H6 and H2, with a stable C2H6 rate and CO positively correlating with CO2. The Lilliefors test, ANOVA, and Spearman's correlation coefficient revealed no significant difference in the yields of pyrolysis products and gases between CE and LG under the same desulfurization ash proportions.
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