AUTHOR=Naqvi Salman Raza , Ammar Taqvi Syed Ali , Khoja Asif Hussain , Ali Imtiaz , Mehran Muhammad Taqi , Farooq Wasif , Tippayawong Nakorn , Juchelková Dagmar , Atabani A.E. 

TITLE=Valorization of Wet Oily Petrochemical Sludge via Slow Pyrolysis: Thermo-Kinetics Assessment and Artificial Neural Network Modeling

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 9 - 2021

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2021.782139

DOI=10.3389/fenrg.2021.782139

ISSN=2296-598X

ABSTRACT=Oily sludge is a hazardous waste stream of the oil refineries that requires an effective process and an environment-friendly route to convert and recover valuable products. In this study, the pyrolytic conversion of the wet waste oil sludge was implemented in an autoclave pyrolyser and a thermogravimetric analyser (TGA) at 5 ºC/min, 20 ºC/min, and 40 ºC/min, respectively. The kinetic analysis was performed using model-free methods, such as Friedman, Kissenger-Akahira-Sunose (KAS), and Ozawa-Flynn-Wall (OFW) to examine the complex reaction mechanism. The average activation energy of wet waste oil sludge (WWOS) estimated from Friedman, KAS, and OFW methods were 198.68 ± 66.27 kJ/mol, 194.60 ± 56.99 kJ/mol, and 193.28 ± 54.88 kJ/mol. Activation energy is increased with the conversion, indicating that complex multi-step processes are involved in the thermal degradation of WWOS. An artificial neural network (ANN) was employed to predict the conversion during heating at various heating rates. ANN allows complex non-linear relationships between the response variable and its predictors. The ∆H, ΔG, and ΔS were found to be 191.26 ± 2.82 kJ/mol, 240.79 ± 2.82 kJ/mol and -9.67 J/mol K. The positive values of the ΔH, ΔG and the slightly negative value of ΔS indicate the endothermic nature of the conversion process, which is non-spontaneous without the supply of energy