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Méthode pour une optimisation du diagnostic de performance énergétique via une approche instrumentée

Abstract : The main objective of this thesis is to make more reliable and relevant building’s energy performance diagnostic. The current regulatory context is too simplified to allow massification of efficient building retrofit. Currently, building’s energy performance diagnostic is made in order to make comparable building’s performance without taking into account the use, the functioning and the external environment. The result is a standardized performance and not a representative performance of the building. Finally, renovations recommended are not specific to the building and the resulting savings are tainted with errors. In order to change this, it is proposed to rethink the building’s energy performance diagnostic by taking into account the external environment, the uses, the actual functioning of the building and all the uncertainties associated with them. In addition to renovations to achieve on the building envelope, and technical equipment, the proposed diagnosis will also include an analysis of uses to highlight potential energy saving before retrofit.At first, we must have information on the building:-Physical information: plans, sections, materials used, technical equipment in place.-Consumption data: they are retrieved from a building instrumentation system.Those data will be used into two different diagnostic tools. The first is an improvement of regulatory building’s energy performance diagnostic. The second allows the analysis of consumptions patterns of the building.In order to improve the result of the regulatory building’s energy performance diagnostic, the energy consumption sources that are not taken into account will be added and the calculation of existing energy consumption sources will be improved to reach a higher level of precision. The data from the instrumentation system will also be used to get information on consumptions patterns of the building, performance of technical equipment and the external environment. Those data will also allow to get the correct calibration of the global energy performance from the new building’s energy performance diagnostic. Once calibrated, the results will be compared with threshold values to identify building’s weaknesses and subject to a sensitivity and uncertainty analysis. The main objective is to make the result of the new building’s energy performance diagnostic more relevant and identify sensitive and influential parameters.Consumptions data will be analyzed to highlight different consumption patterns of the building to finally extract a potential energy saving without carrying out renovation. In order to do that, statistical tools will be used. At first, the clustering method developed will allow to get together days with similar consumptions profiles. Next, among all the groups realized, those identified as a drift of the building’s consumptions will be analyzed to highlight the potential. This potential is relative to the dataset considered. We don’t know the optimal performance of the existing building and this potential may not be sufficient to reach it. To be relevant, this potential must take into account several parameters (occupation, heating period, summer period…) and all factors that can affect the building’s energy consumption.The ultimate goal is to have these two tools interact to improve the accuracy of building’s energy performance diagnostic. The improvement of energy performance does not necessarily involve renovation work, different solutions are possible:-The optimization of the existing: the energy savings potential will be used to optimize the building's performance.-Unit Actions / Heavy Renovation: dialogue between the building’s energy performance diagnostic and the results of the potential for energy savings will be needed.Energy savings generated by this analysis are double. We play both on the building, its equipment and their uses. Energy savings generated are then more precisely controlled
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Submitted on : Monday, September 21, 2020 - 11:50:09 PM
Last modification on : Tuesday, September 22, 2020 - 3:29:13 AM


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  • HAL Id : tel-02945037, version 1



Martin Amiel. Méthode pour une optimisation du diagnostic de performance énergétique via une approche instrumentée. Thermique [physics.class-ph]. Université Savoie Mont Blanc, 2020. Français. ⟨NNT : 2020CHAMA007⟩. ⟨tel-02945037⟩



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