Discrete Element Simulation and Economics of Mechanochemical Grinding of Plastic Waste at an Industrial Scale

Elisavet Anglou, Yuchen Chang, Arvind Ganesan, Sankar Nair, Carsten Sievers, Fani Boukouvala

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Scopus citations

Abstract

Efficient and sustainable chemical recycling pathways for plastics are vital for addressing the negative environmental impacts associated with their end-of-life management. Mechanochemical depolymerization in ball mill reactors is a new promising route to achieve solid-state conversion of polymers to monomers, without the need for additional solvents. Physics-based models that accurately describe the reactor system are necessary for process design, scaling up, and reducing energy consumption. Motivated by this, a Discrete Element Method (DEM) model is developed to investigate the ball milling process at laboratory and industrial scales. The lab-scale model is calibrated and validated with data extracted from videos using computer vision tools. Finally, scaled-up ball mill designs capable of depolymerizing varying feeds of PET waste were simulated, and their capital and operating costs are estimated to assess the economic potential of this route.

Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Pages2405-2410
Number of pages6
DOIs
StatePublished - Jan 2023
Externally publishedYes

Publication series

NameComputer Aided Chemical Engineering
Volume52
ISSN (Print)1570-7946

Keywords

  • ball milling
  • discrete-element-method
  • plastic recycling
  • technoeconomics

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