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Communication Dans Un Congrès Année : 2018

Building Modelling Methodology Combined to Robust Identification for the Temperature Prediction of a Thermal Zone in a Multi-zone Building

Résumé

Building thermal modelling plays an important role in managing the thermal comfort and the energy consumption of buildings. A major challenge for modellers is how to deal with uncertainty problems in order to have a robust model with an acceptable computational time for the improvement of predictive control. This paper presents a methodology which allows obtaining the good model of a controllable thermal zone able to adapt regularly to the measurements by a robust identification procedure. Its input data are achieved by the modelling simplification of adjacent zones under uncontrollable uncertainties. This method is applied for a multi-zone positive energy building in south of France to validate our approach.
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hal-01738554 , version 1 (21-04-2020)

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van Binh Dinh, Benoît Delinchant, Frédéric Wurtz, Hoang-Anh Dang. Building Modelling Methodology Combined to Robust Identification for the Temperature Prediction of a Thermal Zone in a Multi-zone Building. The Sixth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2018), Mar 2018, Hanoi, Vietnam. ⟨10.1007/978-3-319-75429-1_19⟩. ⟨hal-01738554⟩
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