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Optimization of oil production through ex-situ catalytic pyrolysis of waste polyethylene with activated carbon

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  • Pan, Ruming
  • Martins, Marcio Ferreira
  • Debenest, Gérald

Abstract

This study studied the ex-situ catalytic pyrolysis of waste polyethylene (WPE) with activated carbon (AC). It was found that the operating parameters and AC/WPE mass ratio had complex interactions on the WPE-AC catalytic pyrolysis oil and gas yields. A hybrid method of artificial neural network (ANN) coupled with genetic algorithm (GA) was used to establish the mathematical expressions of oil and gas yields under different conditions and optimize the conditions to obtain the highest oil yield. The R2 values and the average absolute relative errors between the experimental and the ANN predicted values were 0.9992 and 0.60%, and 0.9830 and 5.01% in the training and the testing tests, respectively. The optimal oil production calculated by ANN-GA was 69.16 wt% under 479 °C, the AC/WPE mass ratio of 1, and 10 mL/min. The experimental oil yield was 69.63 wt% under the optimal parameters, which was close to the predicted value of ANN-GA. The WPE-AC catalytic pyrolysis oils under different conditions were characterized by the Fourier-transform infrared spectroscopy (FTIR) and the gas chromatography/mass spectrometry (GC/MS). The types of oil's functional groups did not change with different operating parameters and AC/WPE mass ratios. The oils were composed of alkenes, naphthenes, alkanes, and aromatic hydrocarbons ranging from C8 to C33. The operating parameters and AC/WPE mass ratio affected the oil fractions to a great extent.

Suggested Citation

  • Pan, Ruming & Martins, Marcio Ferreira & Debenest, Gérald, 2022. "Optimization of oil production through ex-situ catalytic pyrolysis of waste polyethylene with activated carbon," Energy, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:energy:v:248:y:2022:i:c:s0360544222004170
    DOI: 10.1016/j.energy.2022.123514
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    1. Duque, João Vitor F. & Martins, Márcio F. & Bittencourt, Flávio L.F. & Debenest, Gérald & Orlando, Marcos Tadeu D. & Profeti, Luciene Paula R. & Profeti, Demetrius, 2023. "Recovering wax from polyethylene waste using C-DPyR," Energy, Elsevier, vol. 272(C).
    2. Liu, Yang & Pan, Ruming & Ansart, Renaud & Debenest, Gérald, 2025. "Optimization and analysis of solar-driven biomass gasification using a CFD-ANN-GA framework," Energy, Elsevier, vol. 325(C).
    3. Yang, Youwei & Pan, Ruming & Wu, Yibo & Pan, Qinghui & Shuai, Yong, 2024. "A porous media catalyst for waste polyethylene pyrolysis in a continuous feeding reactor," Energy, Elsevier, vol. 302(C).
    4. Md Sumon Reza & Zhanar Baktybaevna Iskakova & Shammya Afroze & Kairat Kuterbekov & Asset Kabyshev & Kenzhebatyr Zh. Bekmyrza & Marzhan M. Kubenova & Muhammad Saifullah Abu Bakar & Abul K. Azad & Hrido, 2023. "Influence of Catalyst on the Yield and Quality of Bio-Oil for the Catalytic Pyrolysis of Biomass: A Comprehensive Review," Energies, MDPI, vol. 16(14), pages 1-39, July.

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