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Efficacité énergétique des bâtiments : modélisation hygrothermique et commande prédictive économique régularisée

Abstract : In this thesis, we propose a comprehensive methodology to simulate the hygrothermal behaviour and continuously monitor the energy efficiency of buildings. The multi-zone model developed is of the grey box type and is based on heat and moisture transfer processes. It integrates solar radiation as an energy source as well as heating, ventilation and air conditioning systems such as heat pumps or VMCs. This hygrothermal model allows the estimation and prediction of microclimatic data such as operative temperature, radiant temperature and humidity rate which are essential for the qualification of thermal comfort. The generated model is used to develop new economic model predictive control strategy to ensure hygrothermal comfort in occupied areas of the building while minimizing its energy consumption. Thermal comfort indicators are taken into account in the definition of a performance criterion and the cost induced by the use of the different equipments is used to define an economic criterion. The specifications related to the use of the different equipment are taken into account by a regularization term. The stress caused by the successive and too frequent start/stop of certain equipment is taken into account. These changes of state are generally detrimental to the lifetime of the equipment and represent, at the very least, an energy inefficient mode of operation. The solution presented also allows the number of active control inputs to be monitored at any time and inappropriate control scenarios to be avoided. In response to the optimization problem, the advantage of a sparse control strategy is highlighted. The fault-tolerance of optimal control scenarios to the occurrence of certain actuator faults is also a property that is taken into consideration.
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Submitted on : Monday, March 29, 2021 - 11:12:53 AM
Last modification on : Thursday, March 17, 2022 - 11:25:39 AM
Long-term archiving on: : Wednesday, June 30, 2021 - 6:20:22 PM


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  • HAL Id : tel-03184109, version 1


Farah Gabsi. Efficacité énergétique des bâtiments : modélisation hygrothermique et commande prédictive économique régularisée. Automatique / Robotique. Université de Lorraine, 2020. Français. ⟨NNT : 2020LORR0184⟩. ⟨tel-03184109⟩



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