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Identification d'un modèle de comportement thermique de bâtiment à partir de sa courbe de charge

Abstract : In a context of permanent concern of energy saving, the importance of developing strategies to minimize the energy consumption of a building is not to be any more demonstrated. Whether these strategies consist in recommending building insulation, suggesting the modification of the management of heating/air conditioning systems or advising the change of certain occupants' habits, a preliminary step of characterizing the thermal behavior of the building turns out inevitable.
Contrary to the previous studies, the approach developed here does not require instrumentation of the building. Also, we consider buildings in normal occupation, that is in the presence of heating regulator, which is an additional unknown of the problem. So, we identify a global system of the building together with its heating system from:
meteorological data of the closest Meteo France station; reference indoor temperature reconstructed by sector-based knowledge; heating consumption collected either from Building Management Systems or from smart meters; other heat supply (like lighting or presence of persons) estimated by sector-based and thermal knowledge. The identification is made at first by estimation of the parameters (7) defining the global model, by minimizing one step prediction error. Then we adopted an approach of bayesian inversion which provides a simulation of the posterior distributions of parameters and building indoor temperature.
The analysis of the stochastic simulations aims at studying the contribution of additional knowledge of the problem (typical values of the parameters) and at showing the limits of the modeling hypotheses in the case of certain real data sets.
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Submitted on : Thursday, May 5, 2011 - 10:42:04 AM
Last modification on : Wednesday, November 17, 2021 - 12:31:19 PM


  • HAL Id : pastel-00590810, version 1


Chadia Zayane. Identification d'un modèle de comportement thermique de bâtiment à partir de sa courbe de charge. Autre. École Nationale Supérieure des Mines de Paris, 2011. Français. ⟨NNT : 2011ENMP0001⟩. ⟨pastel-00590810⟩



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