The Inclusion of End-of-Life Modeling in the Life Cycle Energy Optimization Methodology

In this study, an end-of-life (EOL) model is included in the life cycle energy optimization (LCEO) methodology to account for the energy burdens and credits stemming from a vehicle's EOL processing phase and balance them against the vehicle's functional requirements and production and use-phase energies. The substitution with a correction factor allocation method is used to model the contribution of recycling to the EOL phase's energy. The methodology is illustrated through the optimization of the design of a simplified vehicle subsystem. For the latter, multiple recycling scenarios with varying levels of assumed recycling induced material property degradation were built, and their impact on the vehicle subsystem's optimal solutions was compared to that of scenarios based on landfilling and incineration with energy recovery. The results show that the vehicle subsystem's optimal designs are significantly dependent on the EOL scenario considered. In particular, the optimal designs associated with the recycling scenarios are on average substantially heavier, and less life cycle energy demanding, than their landfilling or incineration with energy recovery-related counterparts, thus demonstrating how the inclusion of EOL modeling in the LCEO methodology can significantly alter material use patterns, thereby effecting the very mechanisms enabling the embodiment of the resulting life cycle energy optimal designs.

Automated summary

This study introduced an end-of-life (EOL) model into the life cycle energy optimization (LCEO) methodology to consider the energy burdens and credits stemming from a vehicle's EOL processing phase. The optimal designs of vehicle subsystems were found to be significantly influenced by different EOL scenarios, with recycling scenarios leading to lighter and less energy-demanding solutions compared to landfilling or incineration.