Description
The course explores the application of Digital Twins for energy assessment in the built environment, focusing on how virtual replicas of buildings can optimize energy efficiency and enhance sustainability. Participants will gain a deep understanding of Digital Twin technology, learning how these virtual models mirror physical buildings, systems, and processes in real time. Key features of Digital Twin technology will be covered, including real-time monitoring, which enables the continuous tracking of energy consumption and building performance, and predictive analytics, which helps forecast energy needs, identify inefficiencies, and recommend improvements. By integrating data from various sensors and systems, Digital Twins provide actionable insights that enable better decision-making for energy management, maintenance, and resource optimization. Throughout the course, notable case studies will illustrate practical implementations of Digital Twins, showing how the technology is already being used to improve energy performance in smart cities and energy-efficient buildings. These examples will highlight how Digital Twins contribute to enhancing operational efficiency, reducing energy costs, and achieving sustainability goals. The course will feature the nZEB Smart Home as a pilot site, showcasing its use as a real-world example of Digital Twin technology in action. Participants will engage with the Smart Home to understand how Digital Twin models are used for energy assessment, optimizing building performance, and supporting the integration of renewable energy sources. By the end of the course, participants will have the knowledge and tools to apply Digital Twin technology in their own energy-efficient projects, contributing to smarter, more sustainable built environments.
