As part of this project, a digital twin of the Geo1 building will be developed based on an existing 3D model. The digital twin will be linked to real sensor data (e.g., CO₂ concentration, temperature, humidity) collected in selected rooms such as seminar and teaching rooms. The goal is to integrate the collected data into the digital twin and to develop models that can generate predictions of CO₂ levels and other indoor climate parameters under different usage scenarios.

The project includes the technical implementation of the digital twin, the connection and integration of sensor data, the design of appropriate scenarios (e.g., varying occupancy levels, ventilation strategies), as well as the development and validation of predictive models.