Co-pyrolysis of low-density polyethylene and polystyrene: thermodynamic feasibility, kinetics, and artificial neural network modelling

In this study, the performance and synergy of the co-pyrolysis of low-density polyethylene (LDPE) and polystyrene (PS) were investigated using thermogravimetric analysis (TGA) and artificial neural network (ANN) modelling. The plastic waste samples were obtained from the vicinity of the Obafemi Awolowo University, Ile-Ife, Nigeria and subjected to proximate/ultimate analysis, scanning electron microscopy, and TGA. The results of the proximate analysis revealed a volatile matter of 76.90%, a low moisture content of 9.67%, a low ash content of 0.91%, and low contents of nitrogen (2.73%) and sulphur (0.83%) alongside a higher heating value of 22.92 MJ kg −1 , all demonstrating the suitability of the LDPE-PS blend as a biofuel feedstock. The TGA indicated three weight loss regions, with the second temperature region (123-518°C) accounting for the predominant weight loss of the LDPE-PS blend. The Free Gibbs energy change suggests a large bioenergy potential for the LDPE-PS blend. The ANN demonstrated a high predictive accuracy (R 2 ≥ 0.999), showing the agreement between the experimental and predicted weight loss data. These findings accentuate the fuel-generative potential of the LDPE-PS blend whilst underscoring the reliability of ANN in predictive modelling of polymer blend pyrolysis behaviour.

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Publication Details

Journal
Chemical Thermodynamics and Thermal Analysis
Published
2026-03-14
DOI
https://doi.org/10.1016/j.ctta.2026.100292
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
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article

Co-pyrolysis of low-density polyethylene and polystyrene: thermodynamic feasibility, kinetics, and artificial neural network modelling

Victor Owolabi, Dayo A. Ayeni, Odunayo T. Ore, F. M. Adebiyi et al.
Chemical Thermodynamics and Thermal Analysis
Thermochemical Biomass Conversion Processes
article

Co-pyrolysis of low-density polyethylene and polystyrene: thermodynamic feasibility, kinetics, and artificial neural network modelling

Victor Owolabi, Dayo A. Ayeni, Odunayo T. Ore, F. M. Adebiyi, Oluwagbenga Aderibigbe
article en

Abstract

In this study, the performance and synergy of the co-pyrolysis of low-density polyethylene (LDPE) and polystyrene (PS) were investigated using thermogravimetric analysis (TGA) and artificial neural network (ANN) modelling. The plastic waste samples were obtained from the vicinity of the Obafemi Awolowo University, Ile-Ife, Nigeria and subjected to proximate/ultimate analysis, scanning electron microscopy, and TGA. The results of the proximate analysis revealed a volatile matter of 76.90%, a low moisture content of 9.67%, a low ash content of 0.91%, and low contents of nitrogen (2.73%) and sulphur (0.83%) alongside a higher heating value of 22.92 MJ kg −1 , all demonstrating the suitability of the LDPE-PS blend as a biofuel feedstock. The TGA indicated three weight loss regions, with the second temperature region (123-518°C) accounting for the predominant weight loss of the LDPE-PS blend. The Free Gibbs energy change suggests a large bioenergy potential for the LDPE-PS blend. The ANN demonstrated a high predictive accuracy (R 2 ≥ 0.999), showing the agreement between the experimental and predicted weight loss data. These findings accentuate the fuel-generative potential of the LDPE-PS blend whilst underscoring the reliability of ANN in predictive modelling of polymer blend pyrolysis behaviour.

Chemical Thermodynamics and Thermal AnalysisVol. 22
Obafemi Awolowo University (NG), Lead City University (NG)
Openalex Percentile: Top 22%
Thermochemical Biomass Conversion Processes
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Co-pyrolysis of low-density polyethylene and polystyrene: thermodynamic feasibility, kinetics, and artificial neural network modelling — Victor Owolabi, Dayo A. Ayeni, et al. · Chemical Thermodynamics and Thermal Analysis (2026) | TGRS Research Map | TGRS