Extending Multilevel Statistical Entropy Analysis towards Plastic Recyclability Prediction

Multilevel statistical entropy analysis (SEA) is a method that has been recently proposed to evaluate circular economy strategies on the material, component and product levels identify critical stages of resource functionality losses. However, comparison technological alternatives may be difficult, equal entropies do not necessarily correspond with recyclability. A coupling energy consumption aspects strongly recommended but largely lacking. The aim this paper improve multilevel SEA reliably assess recyclability plastics. Therefore, first applied conceptual case study fictitious bag filled plastics, possibilities limitations are highlighted. Subsequently, it extend computation relative decomposition energies components products. Finally, two metrics proposed. plastic waste collection bottles used as illustrate potential developed extended method. extension allows us estimate In future work, will refined other extensions studied together applications real-life products streams.