Influence of fields data quality on the modeling of residential buildings with dynamic simulation tool

To produce a realistic building reference’s model, in order to work on a retrofitting project, input data have to be chosen with the field’s information. The present work concerns French residential buildings of the pre-world-war-II family. This category is more and more subject to retrofitting project and represents more than 30% of the French building sector. In addition, the old buildings are characterised by difficulties to collect data.  The aim of this work is to identify the limits of modelling precision for energy simulation. To achieve this objective, two buildings have been modelled, it consists on one house and one flat that were monitored and for which data have been recorded during a year. Moreover, for each input data, a field value and an uncertainty range are proposed. The output data analysis shows a hierarchical influence of the input data uncertainty.