Smart energy twin

The Smart Energy Twin project tackles the growing challenges of grid congestion and the need for more efficient energy management. By integrating Digital Twin technology with various sustainable energy sources—such as solar panels, heat pumps, and energy storage systems—the project provides an innovative solution for real-time monitoring and optimization of energy consumption. The project focuses on developing a scalable and secure digital twin model for energy hubs, enabling dynamic management and predictive control of energy flows. This is achieved through advanced data analytics and AI-powered forecasting models. Technically led by HAN University of Applied Sciences, with cybersecurity oversight from Impact IoT Solutions, the project is implemented at a test site in Wolfheze. This site, featuring a historic church and residential buildings, serves as a living lab for developing and testing next-generation energy management solutions. The ultimate goal is to demonstrate the impact of Digital Twin technology on energy optimization and to create a replicable model for future energy hubs. The project contributes to the energy transition by enabling smarter, data-driven decision-making for sustainable and resilient urban and industrial energy systems.