PMID- 37215830 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20230523 IS - 2405-8440 (Print) IS - 2405-8440 (Electronic) IS - 2405-8440 (Linking) VI - 9 IP - 5 DP - 2023 May TI - Statistical prediction and sensitivity analysis of kinetic rate constants for efficient thermal valorization of plastic waste into combustible oil and gases. PG - e16049 LID - 10.1016/j.heliyon.2023.e16049 [doi] LID - e16049 AB - Sensitivity analyses of rate constants for chemical kinetics of the pyrolysis reaction are essential for the efficient valorization of plastic waste into combustible liquids and gases. Finding the role of individual rate constants can provide important information on the process conditions, quality, and quantity of the pyrolysis products. The reaction temperature and time can also be reduced through these analyses. For sensitivity analysis, one possible approach is to estimate the kinetic parameters using MLRM (multiple linear regression model) in SPSS. To date, no research reports on this research gap are documented in the published literature. In this study, MLRM is applied to kinetic rate constants, which slightly differ from experimental data. The experimental and statistically predicted rate constants varied up to 200% from their original values to perform sensitivity analysis using MATLAB software. The product yield was examined after 60 min of thermal pyrolysis at a fixed temperature of 420 degrees C. The predicted rate constant "k(8)" with a slight difference of 0.02 and 0.04 from the experiment revealed 85% oil yield and 40% light wax after 60 min of operation. The heavy wax was missing from the products under these conditions. This rate constant can be utilized to maximize the commercial-scale extraction of liquids and light waxes from thermal pyrolysis of plastics. CI - (c) 2023 The Authors. FAU - Irfan, Muhammad AU - Irfan M AD - Electrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran, 61441, Saudi Arabia. FAU - Un Nabi, Rao Adeel AU - Un Nabi RA AD - Department of Physics, University of Agriculture Faisalabad, 38040, Pakistan. FAU - Hussain, Hammad AU - Hussain H AD - Department of Agricultural Engineering, Faculty of Agricultural Engineering & Technology, University of Agriculture Faisalabad, 38040, Pakistan. FAU - Naz, Muhammad Yasin AU - Naz MY AD - Department of Physics, University of Agriculture Faisalabad, 38040, Pakistan. FAU - Shukrullah, Shazia AU - Shukrullah S AD - Department of Physics, University of Agriculture Faisalabad, 38040, Pakistan. FAU - Khawaja, Hassan Abbas AU - Khawaja HA AD - Department of Automation and Process Engineering, UiT the Arctic University of Norway, Tromso, Norway. FAU - Rahman, Saifur AU - Rahman S AD - Electrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran, 61441, Saudi Arabia. FAU - Farid, Muhammad Usman AU - Farid MU AD - Department of Structures and Environmental Engineering, University of Agriculture Faisalabad, 38040, Pakistan. LA - eng PT - Journal Article DEP - 20230506 PL - England TA - Heliyon JT - Heliyon JID - 101672560 PMC - PMC10192758 OTO - NOTNLM OT - Kinetic rate reactions OT - Polyethylene OT - SPSS OT - Sensitivity analysis OT - Thermal pyrolysis COIS- The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper EDAT- 2023/05/22 19:11 MHDA- 2023/05/22 19:12 PMCR- 2023/05/06 CRDT- 2023/05/22 12:31 PHST- 2022/09/26 00:00 [received] PHST- 2023/04/28 00:00 [revised] PHST- 2023/05/03 00:00 [accepted] PHST- 2023/05/22 19:12 [medline] PHST- 2023/05/22 19:11 [pubmed] PHST- 2023/05/22 12:31 [entrez] PHST- 2023/05/06 00:00 [pmc-release] AID - S2405-8440(23)03256-5 [pii] AID - e16049 [pii] AID - 10.1016/j.heliyon.2023.e16049 [doi] PST - epublish SO - Heliyon. 2023 May 6;9(5):e16049. doi: 10.1016/j.heliyon.2023.e16049. eCollection 2023 May.