Antoine MALLEGOL Thesis defense

An energy system is a set of infrastructures and technologies that allow for the production, storage, and distribution of energy. Coupled energy systems include multiple energy vectors, such as electricity and heat, and interactions can occur between these forms of energy. Optimization of these systems allows for the best possible design and operation of energy generation and storage, with various objectives that can be linked to cost or the environmental impact of the system. In this work, we model and optimize a coupled energy system over a long period of time (one year), with a high temporal resolution. In parallel, we take into account nonlinearities in the equations that govern the electrical efficiency of cogeneration and those describing thermal storage. We incrementally propose different resolution methods, ranging from a mathematical program to a matheuristic, through an heuristic. We show the interest of these approaches for reducing the costs of these systems, while increasing the proportion of renewable energy sources.