LA MAPPATURA DEI DATI SU CONSUMI ENERGETICI E CONDIZIONI DI COMFORT DI UN EDIFICIO ESISTENTE ATTRAVERSO LA MODELLAZIONE INFORMATIVA

The innovation of introducing in buildings BEMS (Building Energy Management System) and BACS (Building Automation and Control System) permits their better management, punctually identifying existing inefficiencies. Moreover, these systems make available a high quantity of data on consumptions, indoor and outdoor conditions and users’ profiles that can drive the choice of energy retrofit interventions. In other words, BEMS and BACS support the cognitive phase, known as “energy audit”, preliminary to the retrofit. The data survey before and after the interventions on buildings, allows to find out where they would be more suitable and to check their effectiveness. On the other side, the current developments in the digitalization of the building process, are leading the diffusion of Building Information Management methods and tools. They introduce the concept by which it is possible to provide an environment where data gathered from the systems above mentioned can be stored, processed and represented. The possible interface with a BIM environment supports a better correlation with further information about the building, such as constructive typologies, maintenance and management profiles, or performance decay, making easier the planning of more complete and effective retrofit strategies and interventions. The paper summarizes the results achieved in the definition of a correlation methodology between the informative model of the “Mandolesi Pavilion” in the Faculty of Engineering and Architecture of the University of Cagliari and the data collected by a monitoring systems about energy consumptions and indoor environmental conditions installed inside the building. The main sensors of the system are included in the “digital twin” of the building as parametric objects. Through the informative model, it is possible to carry out processing on the data and compare them with the thermal and visual comfort thresholds. The same model has also been used to represent the result of such data processing..