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Contribution towards integrating optimal energy management systems for intelligent buildings

Metaheuristic algorithms, Energy efficiency, Thermal comfort, Artificial intelligence, Surrogate models, Energy performance

This thesis project aims to develop a functional system, both in theory and in practice, which allows optimizing as much as possible the passive and active part of the building in order to have a better energy performance, a comfortable indoor environment and a suitable energy self-sufficiency.


Thesis director: Emmanuel SIMEU
Thesis supervisors: Fouad MOUTAOUAKKIL (ENSEM Casablanca) - Mohamed TABAA (Univ. Lorraine)
Thesis started on: Oct. 2019
Thesis defence: 28/07/2022
Doctoral school: EEATS

Submitted on January 12, 2022

Updated on November 1, 2022