Seven Fraunhofer research teams are also focusing on the circular economy in the Waste4Future project (see box). In this project, everything depends on precise waste sorting to produce the purest possible recyclates. At the heart of the project: a sensor suite for sorting plants. This should also make it possible to detect black waste particles, for example. Up to now, these have not been recognized and sorted out by many systems - for example, black shower gel packaging, which then ends up in the incineration plant. Yoghurt lids are also often a problem if they have not been separated from the plastic in the pot. Both the aluminum lid and the plastic cup then end up in the aluminum cycle and thus in the smelter - and the plastic is lost for recycling.
The sensor suite helps to identify substances and determines whether a sample is still suitable for recycling. Depending on the age of the fraction, mechanical or chemical recycling is conceivable. Finally, the collected data is linked and evaluated using machine learning. As a large amount of data is collected, a digital twin is also used. Dr. Gert Homm, scientist at Fraunhofer IWKS, explains in a press release on the topic: "Digital twins help to reduce the mass of data to the elementary core data and pass it on to an evaluation model that we are developing in the project and that reorganizes the previously process-led recycling chain into a material-led chain." Energy consumption and the CO2 footprint are also recorded. Overall, the system provides data on how the plastics can be optimally recycled and where they stand in comparison. At the end in December 2024, the researchers would then like to compare some components made from old plastic with new products. We are looking forward to the results!