The increasing demand for energy, coupled with the urgency to reduce environmental impacts, requires innovative solutions in energy management. This postdoctoral research project fits into this framework with the objective of evaluating how the intelligent management of an energy system can reduce its environmental impact. The project aims technically to model a complex system and develop advanced energy management algorithms that take into account all environmental criteria. This project must therefore use an innovative and multidisciplinary approach by integrating the Life Cycle Analysis (LCA) of technologies into an Energy Management System (EMS).

The project will rely on the TOTEM platform, a smart grid connecting photovoltaic production, a tertiary building, electric/hydrogen charging stations, as well as energy storage in the form of batteries and gaseous hydrogen. The activities will focus on the development of advanced algorithms for TOTEM's EMS, which must not only improve energy efficiency based on usage but also consider LCA criteria. The goal is to achieve intelligent management of a complete energy system and ultimately minimize carbon footprints and other environmental consequences.

The deployment and testing of algorithms within the TOTEM platform will provide a realistic solution that can be improved by testing it on other applications.