Co-pyrolysis of waste wind turbine blades and biomass and their kinetic analysis using artificial neural network

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dc.contributor.author Yousef, Samy
dc.contributor.author Eimontas, Justas
dc.contributor.author Stri ¯ ugas, Nerijus
dc.contributor.author Abdelnaby, Mohammed Ali
dc.date.accessioned 2024-04-17T06:54:14Z
dc.date.available 2024-04-17T06:54:14Z
dc.date.issued 2024-04
dc.identifier.other https://doi.org/10.1016/j.jaap.2024.106495
dc.identifier.uri http://repository.msa.edu.eg/xmlui/handle/123456789/5938
dc.description.abstract This research aims to study co-pyrolysis of waste wind turbine blades (WTB) and biomass using a thermogravimetric (TG) analyser at various heating rates (10, 20, and 30 °C/min). The experiments were performed on WTB consisting of a glass fibre/unsaturated polyester resin (UPR) and woody biomass (WBs) at different mixing ratios (1:1, 2:1, 3:1 w/w). The effect of a mixing ratio and a heating rate on composition of vapours released from the co-pyrolysis process was observed using TG-FTIR and GC-MS. Also, the co-pyrolysis kinetic and thermodynamic behaviour of the WTB/WBs mixtures was studied. Meanwhile, the experimental TG curves were mathematically simulated using the Distributed activation energy method and the Independent parallel reactions, while unknown curves were predicted using an artificial neural network (ANN) model. The differential thermogravimetric results showed high compatibility between WTB and WBs (1:1 and 2:1) with a single decomposition peak, which is indicates that both feedstocks were degraded as a single-step reaction. While the higher mixing rate (3:1) revealed double decomposition peaks, indicating that the mixture undergoes two sequential decomposition reactions and several competing reactions occur simultaneously, which increases the complexity of the decomposition process. Meanwhile, the GC-MS results showed that the mixture of WTB/WBs (1:1) could significantly reduce the styrene (the main toxic compound of UPR) from 62% (in neat WTB) to 7 % at 30 °C/min. Also, presence of other aromatic hydrocarbons (benzoic acid, 2-Methoxy-4-vinylphenol, etc.) was observed in the mixture samples as a result of styrene cracking. Finally, the kinetic model-free isoconversional results showed that Ea was estimated at 275–383 kJ/mol (WBs) and 196–286 kJ/mol (WTB/WBs). Accordingly, co-pyrolysis of WTB with WBs is highly recommended to valorise WTB and eliminate their toxic styrene compound en_US
dc.description.uri https://www.scimagojr.com/journalsearch.php?q=24154&tip=sid&clean=0
dc.language.iso en en_US
dc.publisher Elsevier B.V en_US
dc.relation.ispartofseries Journal of Analytical and Applied Pyrolysis;Volume 179May 2024 Article number 106495
dc.subject Artificial neural network; Biomass; Co-pyrolysis; Kinetic analysis; Waste wind turbine blades en_US
dc.title Co-pyrolysis of waste wind turbine blades and biomass and their kinetic analysis using artificial neural network en_US
dc.type Article en_US
dc.identifier.doi https://doi.org/10.1016/j.jaap.2024.106495
dc.Affiliation October University for modern sciences and Arts MSA


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