Response Surface Methodology Analysis of Pyrolysis Reaction Rate Constants for Predicting Efficient Conversion of Bulk Plastic Waste into Oil and Gaseous Fuels

Muhammad Irfan, Rao Adeel Un Nabi, Hammad Hussain, Muhammad Yasin Naz (), Shazia Shukrullah (), Hassan Abbas Khawaja, Saifur Rahman, Abdulnoor A. J. Ghanim, Izabela Kruszelnicka, Dobrochna Ginter-Kramarczyk and Stanisław Legutko
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Muhammad Irfan: Electrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia
Rao Adeel Un Nabi: Department of Physics, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
Hammad Hussain: Department of Agricultural Engineering, Faculty of Agricultural Engineering & Technology, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
Muhammad Yasin Naz: Department of Physics, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
Shazia Shukrullah: Department of Physics, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
Hassan Abbas Khawaja: Department of Automation and Process Engineering, UiT The Arctic University of Norway, 9037 Tromsø, Norway
Saifur Rahman: Electrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia
Abdulnoor A. J. Ghanim: Civil Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia
Izabela Kruszelnicka: Department of Water Supply and Bioeconomy, Faculty of Environmental Engineering and Energy, Poznan University of Technology, 60-965 Poznan, Poland
Dobrochna Ginter-Kramarczyk: Department of Water Supply and Bioeconomy, Faculty of Environmental Engineering and Energy, Poznan University of Technology, 60-965 Poznan, Poland
Stanisław Legutko: Faculty of Mechanical Engineering, Poznan University of Technology, 60-965 Poznan, Poland

Energies, 2022, vol. 15, issue 24, 1-17

Abstract: The growing production of plastic waste and improper dumping after use has become a worldwide challenge. This waste is a substantial source of petroleum and can be effectively converted into pyrolytic oil and other useful products. A statistical prediction of the rate constants is essential for optimizing pyrolysis process parameters, such as activation energy (Ea), frequency factor (Ao), temperature (T), and kinetic rate constants (k). In this research, we utilized Box–Behnken using RSM with Design Expert software to predict statistical rate constants at 500 °C and 550 °C. The efficiency of the predicted rate constants was investigated and compared to the findings of experimental rate constants extracted from the literature. At 500 °C, the estimated rate constants did not reveal a significant rise in the oil output since these constants promoted high gas yield. Compared to the experimental rate constants, statistically predicted rate constants at 550 °C demonstrated substantially high-oil output with only 1% byproducts. The experimental rate constants yielded 32% oil at 550 °C, whereas the predicted rate constants yielded 85% oil. The statistically predicted rate constants at 550 °C could be used to estimate commercial-scale extraction of liquid fuels from the pyrolysis of high-density plastics. It was also concluded that Ea, Ao, and T must be analyzed and optimized according to the reactor type to increase the efficiency of the expected rate constants.

Keywords: rate constant; activation energy; frequency factor; RSM; design expert; MATLAB (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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