The building sector is the first responsible of energy consumption in France (about 43%). Improving procedures, simulation tools and design methods should go in parallel with efforts to enhance the energy efficiency and to find optimal design solutions.This paper provides a simplified linear correlation method to predict the impact of 11 envelope parameters on the heating annual demand of a single family house in 3 cities of France (Nancy, Agen and Nice).The corresponding model is identified using the design of experiments techniques (Taguchi tables). After the validation of the results, the effects of each parameter are presented and discussed.
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