Sensitivity analysis of models with dynamic inputs Application to the impact of the weather data on the performance of passive houses
Résumé
We address the issue of performing UASA with two kinds of uncertain inputs, static and dynamics. The originality of the proposed approach is to separate the random variable of the dynamic inputs, propagated to the model response, from the deterministic spatio/temporal function, using Karhunen-Loève decomposition of the dynamic inputs. The approach is applied to a building energy model, in order to quantify the impact of the weather data on the performance of passive houses.