Building Digital Twin Generator is an advanced software tool designed to create highly accurate digital twins of buildings. By integrating data from Building Information Models (BIM), IoT sensors, and energy meters, this tool constructs a dynamic and interactive virtual model that mirrors the real-time conditions of the physical building. This digital twin can be used for monitoring, analysis, and optimization of building performance, helping facility managers and engineers to make data-driven decisions, improve energy efficiency, and anticipate maintenance needs.
Principal investigator: Bo Nørregaard Jørgensen
Development team: Benjamin Eichler Staugaard, Simon Soele Madsen
Tool link: https://digitaltwin.sdu.dk/