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Gestion optimale des consommations d'énergie dans les bâtiments

Abstract : The aim of the thesis is to provide the methods that can better manage energy in ensuring the level of comfort. The load models are developed and validated by measures. The neural networks and the method botom-up are proposed for the short-term consumption forecasting corresponding to the multi buildings (region) and to the residential sector. Three original methods of optimal predictive management for heating and air conditioning are developed: the optimization of thermal comfort, the minimization of peak consumption, and the minimization of costs of energy consumption. Two original methods for the load management in real time are proposed: the method based on a system of adaptive regulation for heating and air conditioning and the method based on the shedding in function of protection characteristic. The proposed methods are validated by simulation for one house (residential sector) and a hotel (tertiary sector) with satisfied results.
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Contributor : Sylvie Garcia <>
Submitted on : Monday, July 21, 2008 - 11:15:41 AM
Last modification on : Thursday, November 19, 2020 - 1:00:05 PM
Long-term archiving on: : Monday, May 31, 2010 - 7:19:48 PM


  • HAL Id : tel-00301368, version 1



Ky Le. Gestion optimale des consommations d'énergie dans les bâtiments. Sciences de l'ingénieur [physics]. Institut National Polytechnique de Grenoble - INPG, 2008. Français. ⟨tel-00301368⟩



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