Resource effectiveness of the European automotive sector – a statistical entropy analysis over time

摘要: Abstract The European automotive sector is faced with potentially disruptive challenges. In particular, the projected increase in share of electric vehicles (EVs) and calls to prepare for implementation more circular economy (CE) strategies are increasingly demanding systemic adaptations. Given goals CE, adaptations should enable a maximal preservation function value products (e.g. extension lifetime), components reuse parts) materials (e.g., material recycling), thus saving on energy, effort that would be required restore lost functionalities. this context, statistical entropy analysis (SEA) proposed as methodology assess needed preserving restoring functionality at different product, component life cycle stages. Effort measured changes caused by concentration dilution activities production – consumption End-of-Life (EoL) system. SEA was applied generic model system, combination stock-driven flow (MFA), allowing over time. paper demonstrates how can facilitate decision making transition towards quantifying effects particular CE their combinations. results show without any additional system adaptations, an increasing EVs year 2050 will lead substantially increased well end-of-life vehicle treatment.