Synthesis of optimized control system of alternative energies for the building
Modeling, Control/command, AI, Embedded electronics, Renewable energies, Optimization
This thesis aims at developing optimization methodologies for the use and storage of renewable energies to meet the energy needs of buildings, especially for air conditioning and heating. The modeling of the energy systems to be optimized will be carried out through classical identification techniques as well as automatic learning methods, followed by the development of optimal control laws. The proposed solutions will be synthesized on a hardware architecture in the form of an implementation on programmable circuits that will be tested on simulation and then on the real system.
Mis à jour le 8 February 2022