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Prédiction des performances énergétiques des bâtiments avec prise en compte du comportement des usagers

Abstract : Continuous improvement of the building energy performance is associated with the development of increasingly efficient and accurate numerical tools. While the consideration of phenomena related to buildings, systems and weather is well mastered, occupants’ behaviours are modelled in a very simplified way by repetitive scenarios and deterministic laws. The impact of occupants on energy consumption in high-performance buildings is dominant, as evidenced by the recurring gaps between predicted and measured results. The thesis demonstrates, via a multi-agent platform and stochastic models, an update on the ability to model occupants’ presence, their behaviours on windows, occultation devices, artificial lighting and heating setpoint temperatures. The application of the platform applies to office and residential buildings, for new builds and refurbishments. Occupants’ behaviour models are ideally obtained from in situ surveys, laboratory studies or sociological works. The suggested platform is then co-simulated with the EnergyPlus software, to study the influence of the models on a buildings energy performance. In the perspective of energy performance guarantees, this work contributes to the updating and reliability of prediction tools.
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Submitted on : Thursday, March 29, 2018 - 5:08:11 PM
Last modification on : Tuesday, October 20, 2020 - 11:23:26 AM


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  • HAL Id : tel-01753830, version 1



Quentin Darakdjian. Prédiction des performances énergétiques des bâtiments avec prise en compte du comportement des usagers. Génie civil. Université de La Rochelle, 2017. Français. ⟨NNT : 2017LAROS015⟩. ⟨tel-01753830⟩



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