The consistency of the model was also proved by the high value of R 2 (0.9770). The model was found to be statistically significant because its p-value is smaller than 0.05. The results were assessed by Analysis of Variance (ANOVA) and a regression model was created. The process parameters such as pyrolysis temperature, heating rate, and nitrogen gas flow rate, which were thought to be the most effective on pyrolysis, were studied between initially determined levels, and oil yield was considered as the response variable. In this study, the modeling and optimization of lignite pyrolysis were investigated through Central Composite Design (CCD) by using Stat-Ease Design Expert software version 10.
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