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Méthode et outils pour l'identification de défauts des bâtiments connectés performants

Abstract : This thesis deals with the development of a new methodology for fault detection within smart high-performance buildings helping the performance guarantee. We first have placed our work in the current energy context by focusing on the major role of buildings in the decrease of energy consumption. Then we introduced our methodology and we argued about various techniques that could be used before making a choice. This methodology is made up of two main parts : the former reduces the uncertainties due to the occupant and the environment and the latter studies the gap between simulation and measurements thanks to a sensitivity analysis coupled with a bayesian algorithm. Then we implemented it within a tool that we named REFATEC. We carried out various tests in controlled conditions in order to evaluate its precision and its calculation time. This step showed that our methodology is effective but it has some difficulties when the studied period is during summer or when the faults are very located. is a very located fault. Eventually we confronted our methodology to a real case where we faced numerous questions that appear when dealing with measurements, especially their reliability and the uncertainties that still need to be taken care of, in the perspective of performance guarantee and fault detection.
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Submitted on : Monday, March 26, 2018 - 4:39:13 PM
Last modification on : Wednesday, October 14, 2020 - 4:17:58 AM
Long-term archiving on: : Thursday, September 13, 2018 - 9:10:22 AM


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  • HAL Id : tel-01743757, version 1



Rozenn Josse. Méthode et outils pour l'identification de défauts des bâtiments connectés performants. Energie électrique. Université Grenoble Alpes, 2017. Français. ⟨NNT : 2017GREAT074⟩. ⟨tel-01743757⟩



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