A Residential Case Study To Validate A New Default Detection Method Analyzing Discrepancies Between Simulated and Measured Data
Abstract
Guarantee of performance (GP) is a big research challenge that we propose to address in this paper. Even if different guides have been developed, a need in automation of defaults detection in buildings is felt. In this paper, we propose a method helping the GP by detecting these defaults, using the method of Morris and the ABC-PMC bayesian algorithm. We apply it on an inhabited house, focusing the analysis on ab- sence periods. We test and compare 2 techniques for absence detection. Finally we study the impact of simulation on short periods on the Morris analysis.