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Evaluation ex-post de l’efficacité de solutions de rénovation énergétique en résidentiel

Abstract : In France, ex-post evaluations of energy retrofits in residential buildings, allowing to quantify the performance achieved, are rarely realized, particularly for the dwelling houses.This thesis is an ex-post evaluation of energy efficiency measures for retrofit in residential buildings from surveys data (around 100 cases by studied sample) of households, house owners, that participated in regional energy efficiency operations (northeast and southeast of France). This work is mainly tackled by descriptive statistics and statistical models.The first part of the ex-post evaluation is a quantification of unitary energy savings associated to an uncertainty assessment. For the two operations, a statistical model of energy consumption after retrofitting studies the effect of energy efficiency measures and also the effects of factors as space heating management modification or air conditioning use after refurbishment.The second part of the ex-post evaluation has for aim to identify the sources of gaps between observed consumptions and ones simulated by an ex-ante engineering model. Thus, we study gaps evolution from before retrofitting to after retrofitting situations. In the first time, we realise a quantification and a statistical modelling of gaps before retrofitting. Then, we repeat the method for gaps after retrofitting, in taking into account gap before retrofitting in the statistical model. Deviations between observed energy savings and calculated ones are also studied.In the last part of the thesis, we propose some improvements of the engineering model on the base of the gaps sources identified. From a critical analysis of statistical models realised to study gaps, some propositions are did to improve them.
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Submitted on : Friday, April 4, 2014 - 2:22:08 PM
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Maxime Raynaud. Evaluation ex-post de l’efficacité de solutions de rénovation énergétique en résidentiel. Autre. Ecole Nationale Supérieure des Mines de Paris, 2014. Français. ⟨NNT : 2014ENMP0003⟩. ⟨pastel-00973727⟩



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