The Optimization and Parameters Effect on Distilled Product from Pyrolysis of LDPE based on RSM for Liquid Fuel Production

Abstract

Pyrolysis of low-density polyethylene (LDPE) was performed based on response surface methodology (RSM) with central composite design (CCD) to investigate the effect of process parameters such as temperature (385 - 425°C), residence time (30 - 180 min) and heating rate (5 - 20°C/min) on the % distilled product. The analysis of variance (ANOVA) was performed to determine the optimal and effect process parameters and the adequacy of the model. The ANOVA results showed that the temperature, time and heating rate had a significant effect on the % distilled product, which the temperature was found to have a greater effect on response than residence time and heating rate. The correlation coefficients of developed second order quadratic models found close to 1.0, which was best fitted to develop the relation between independent and dependent variables. The optimal process parameters obtained were temperature of 413°C, time 131 min and heating rate 12°C/min and the corresponding prediction result was % distilled product of 85.1497. The deviation value of the predicted model with experimental data was checked by confirmation test. Its results showed that the error was within 5%. Therefore, the optimization results can use to be guidance for application in the large-scale industrial.