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dc.contributor.authorAlqarni, Ali
dc.contributor.authorUn Nabi, Rao Adeel
dc.contributor.authorAlthobiani, Faisal
dc.contributor.authorNaz, Yasin
dc.contributor.authorShukrullah, Shazia
dc.contributor.authorKhawaja, Hassan
dc.contributor.authorBou-Rabee, Mohammed
dc.contributor.authorGommosani, Mohammad
dc.contributor.authorAbdushkour, Hesham
dc.contributor.authorIrfan, Muhammad
dc.contributor.authorMahnashi, Mater
dc.date.accessioned2022-08-16T08:14:39Z
dc.date.available2022-08-16T08:14:39Z
dc.date.issued2022-08-09
dc.description.abstractThe massive increase in disposable plastic globally can be addressed through effective recovery methods, and one of these methods is pyrolysis. R software may be used to statistically model the composition and yield of pyrolysis products, such as oil, gas, and waxes to deduce an effective pyrolysis mechanism. To date, no research reports have been documented employing the Arrhenius equation in R software to statistically forecast the kinetic rate constants for the pyrolysis of high-density plastics. We used the Arrhenius equation in R software to assume two series of activation energies (Ea) and pre-exponential factors (Ao) to statistically predict the rate constants at different temperatures to explore their impact on the final pyrolysis products. In line with this, MATLAB (R2020a) was used to predict the pyrolysis products of plastic in the temperature range of 370–410 °C. The value of the rate constant increased with the temperature by expediting the pyrolysis reaction due to the reduced frequency factor. In both assumed series of Ea and Ao, a significantly larger quantity of oil (99%) was predicted; however, the number of byproducts increased in the first series analysis compared to the second series analysis. It was revealed that an appropriate combination of Ea, Ao, and the predicted rate constants could significantly enhance the efficiency of the pyrolysis process. The major oil recovery in the first assumed series occurred at 390 °C to 400 °C, whereas the second assumed series of Ea and Ao occurred at 380 °C to 390 °C. In the second series at 390 °C to 400 °C, the predicted kinetic rate constants behaved aggressively after 120 min of the pyrolysis process. The second assumed series and anticipated rate constants at 380 °C to 390 °C can be applied commercially to improve oil production while saving energy and heat.en_US
dc.identifier.citationAlqarni, Un Nabi, Althobiani, Naz, Shukrullah, Khawaja HA, Bou-Rabee, Gommosani, Abdushkour, Irfan M, Mahnashi. Statistical Optimization of Pyrolysis Process for Thermal Destruction of Plastic Waste Based on Temperature-Dependent Activation Energies and Pre-Exponential Factors. Processes. 2022;10(8)en_US
dc.identifier.cristinIDFRIDAID 2041947
dc.identifier.doi10.3390/pr10081559
dc.identifier.issn2227-9717
dc.identifier.urihttps://hdl.handle.net/10037/26207
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalProcesses
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.titleStatistical Optimization of Pyrolysis Process for Thermal Destruction of Plastic Waste Based on Temperature-Dependent Activation Energies and Pre-Exponential Factorsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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