Co-optimisation d'un stockage hybride - chaleur et électricité - dans un réseau multi-énergies

The thesis deals with the modeling and co-optimization of high-temperature heat storage within a multi-energy network. The objective is to develop tools to optimize the management and sizing of the physical components of a multi-energy network combining heat and electricity.The general context of energy systems and their transition towards decarbonization is presented, highlighting the relevance of high-temperature thermal storage technologies for integrating renewable energies such as wind, photovoltaic, and waste heat.A 1D metamodel of high-temperature thermal storage is developed, using a parametric function to approximate the temperature profile at a given moment. The metamodel is based on a time approximation of the system's state evolution, significantly reducing computation time.The 1D model from the literature and the developed metamodel are validated by studying different thermocline storages during a charge-discharge cycle. Comparisons are made between the results of the 1D model, the metamodel, and experimental data.The metamodel can also be directly calibrated on experimental data in the presence of any defects in the installation.Different optimization techniques are compared, as well as different mathematical formulations corresponding to various case studies.In some cases, significant gains in energy management and storage sizing are demonstrated using the metamodel, compared to simplified 0D models.The co-optimization of a multi-energy network, combining electricity and heat, is studied using a predictive control method and a simplified 0D model of the thermal storage. The results show that cooperation between energy vectors can significantly reduce the required storage capacity.The thesis concludes with the main contributions and perspectives to improve the quality of metamodels, better characterize the aging of the thermal storage, and extend the multi-energy vision to hydrogen and water vectors. The work was carried out in collaboration with Eco-Tech CERAM, a company specialized in high-temperature thermal storage technologies, with the ultimate goal of optimizing energy management and sizing in multi-energy networks.