building diagnostics

and simulation-based reproduction of performance data from traditional buildings is presented. This approach involves long-term data collection regarding local climate, indoor conditions in the selected building objects, construction methods, building materials, energy systems, ventilation regimes, and occupancy patterns. Subsequently, the collected data is analyzed and interpreted in view of the buildings’ salient design features. Furthermore, a digital performance simulation model of the building is generated and calibrated based on collected indoor climate data.