Improving energy modeling of large building stock through the development of archetype buildings
In this paper a selection process, based on statistical techniques, of representative buildings is presented. Starting from a real estate stock it is possible to draw a sample and calculate the relevant sample statistics. As second step, their elaboration permits to pick out real buildings with geometrical and thermo-physical characteristics similar to the average of the building sample. In addition, the results of this method are compared to those obtained by segmentation (or cluster) analysis, that is a method to partition a set of houses into groups having similar profiles. Finally, using the Piedmont Regional Database of Energy Performance Certificates these approaches are applied in order to verify the reliability of the analyses proposed. Potentialities and limitations of the performed analyses are critically discussed, as well.