Building Digital Twin Generator is a 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/