Research

Cluster

SmartProSys

A recent collaboration between @SmartProSys researchers from the @Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg and experts from @TU Dresden (Chair of Power Electronics and Institute of Control Theory) sheds new light on this topic.

Optimization meets machine learning for process systems engineering - another successful interdisciplinary collaboration by SmartProSys researchers!

Transitioning from linear to circular supply chains is key to reducing waste, lowering material costs, and promoting sustainability. But how can companies efficiently manage the complexities of waste collection and processing?

Polymers are of central importance for a wide spectrum of applications that range from industrial to municipal and eventually consumer products, e.g. food packaging for end users and domestic furniture. This leads to significant plastic waste streams and one of the main contributors is polyethylene terepthalate (PET) due to its wide applicability, especially in the consumer market.

Currently, around 90% of the raw materials used in chemical production are derived from fossil-based resources. As fossil resources continue to deplete and their use accelerates climate change, it is crucial to shift towards renewable and sustainable alternatives.