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Gestion optimale de l'énergie dans un procédé multi-source pour le chauffage de bâtiments

Abstract : The excessive exploitation of fossil resources leads to problems related to climate change, their rarefaction and, as a consequence, to an increase of their prices. That is why one needs to find some innovative solutions, like the use of renewable energy, to limit the impact of such exploitation. The work presented in this manuscript deals with a methodology about energy optimization, applied to buildings and focusing on heating systems, one of the largest sectors of energy consumption. This methodology is based on the modelling of both the heating process and the energy storage system as well as on the implantation of predictive controllers using knowledge about future disturbances. The proposed approach has been used to optimize the functioning of a collective boiler, managed by Cofely GDF-SUEZ, which delivers hot water to a district of La Rochelle (France) via a distribution network. A modular model of the installation, which uses fossil and renewable resources to warm up water, has been developed thanks to measurements campaigns and, according to what information is available, using a combination of white, grey and black boxes. With the aim of incorporating a storage system to the district boiler of La Rochelle, we proposed a hydraulic modification on it. First, the system model completed the boiler model. Next, two controllers were designed to optimize the storage process. One of these controllers is a model predictive controller and uses forecasted data to anticipate future behaviour of the district boiler. Forecasted data (about outdoor temperature and thermal power consumption) are provided thanks to a wavelet-based multi-resolution analysis and artificial neural networks. The results obtained using the model predictive controller highlight that optimizing an energy storage system allows improving the district boiler functioning. The fossil energy consumption, the cost production, the CO2 emissions as well as the fossil energy coverage rate are significantly reduced, while improving the respect of some technical constraints.
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Contributor : Julien Eynard <>
Submitted on : Wednesday, November 17, 2010 - 10:12:23 AM
Last modification on : Monday, October 19, 2020 - 11:02:34 AM
Long-term archiving on: : Friday, February 18, 2011 - 2:43:12 AM


  • HAL Id : tel-00536864, version 1



Julien Eynard. Gestion optimale de l'énergie dans un procédé multi-source pour le chauffage de bâtiments. Automatique / Robotique. Université de Perpignan, 2010. Français. ⟨tel-00536864⟩



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