4.6 Article

Kinetics, Product Evolution, and Mechanism for the Pyrolysis of Typical Plastic Waste

Journal

ACS SUSTAINABLE CHEMISTRY & ENGINEERING
Volume 10, Issue 1, Pages 91-103

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acssuschemeng.1c04915

Keywords

Pyrolysis behavior; Typical plastic waste; Product evolution; TG-MS; Py-GC-MS

Funding

  1. Fundamental Research Funds for the Central Universities [DUT20YG109]
  2. LiaoNing Revitalization Talents Program [XLYC2007179]

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This research investigated the pyrolysis behavior and kinetic properties of polyethylene (PE), polypropylene (PP), and a simulated mixture of plastic waste (SMP) using TGA/DSC-MS and Py-GC-MS. The results showed that polyolefin pyrolysis followed geometrical contraction models with apparent activation energies, while SMP pyrolysis exhibited first-order reaction models. The study provides practical implications for reactor design and parameter optimization related to plastic waste management.
This research investigates the kinetic, product evolution, mechanism of polyethylene (PE), polypropylene (PP), and a simulated mixture of plastic waste (SMP) via TGA/DSC-MS and Py-GC-MS. The pyrolysis reactions were predominantly endothermic, and the main degradation stage of PE, PP, and SMP ranged from 389.85 to 502.17 degrees C, from 374.91 to 495.15 degrees C, and from 368.30 to 496.29 degrees C, respectively. The kinetic results showed that polyolefin pyrolysis was identified to be the geometrical contraction models with apparent activation energies of 224.31-235.32 kJ mol(-1) for PE and 199.00-207.66 kJ mol(-1) for PP, respectively. The SMP pyrolysis follows the first-order reaction models, and its apparent activation energy was 185.29-199.54 kJ mol(-1). Polyolefin pyrolysis products only contain C4-C35 paraffin with linear alkenes for PE and branch or cyclic alkenes for PP. The large amounts of benzene radicals in the pyrolysis of SMP tended to form aromatics. The pyrolysis behavior and product formation mechanism of the plastic waste could make available practical implications for the reactor design and parameter optimization.

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