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Process design and parameter optimisation of novel plastics-to-plastic chemical recycling technology for upcoming start up

11.03.2024, Abschlussarbeiten, Bachelor- und Masterarbeiten

Project context: Finding new feedstocks for the chemical industry constitutes a cornerstone of the netzero transition by drastically reducing the sector’s dependence on fossil fuels. In parallel, ever-growing volumes of incinerated unrecyclable (plastic) waste are not compatible with Paris pledges and alternative waste treatment is crucially needed. We aim to develop the first end-to-end integrated technology platform for plastic-to-plastic chemical recycling.

Objective of the project: The aim of the project is to develop computer-based process simulation and optimization of a novel plastics-to-plastics chemical recycling route. This will include a three-phase thermochemical step to digest the plastics polymer into smaller molecules, followed by separation and downstream electro-, bio- and thermochemical treatment. A particular emphasis will lie on integrating carbon dioxide capture and utilization with green hydrogen. The project will include close collaboration with the founding team and a senior advisor with 30+ years’ experience in the field to evaluate different process design options and sensitivity analysis.

Key deliverable:

  • Computational process model (e.g. Aspen) with analysis of different design options and synergies based on a thorough assessment of energy consumption, emissions and economic considerations.
  • Based on the final model, identify key opportunities for further modelling, process improvements and potential scaling bottlenecks.  

Requirements for students: Prior experience in computational process design and chemical engineering. Strong interest in entrepreneurship and sustainability are a big plus. We are both driven by making a positive impact in our professional career and would love to work with like-minded students.


Kontakt: alexandre.kremer@radicaldot.com andreas.wagner@radicaldot.com

Mehr Information

Master_Thesis_Radical_Dot_Start-Up Design & Optimization of parameters in plastic-to-plastic chemical reycling, (Type: application/pdf, Größe: 69.0 kB) Datei speichern

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