Digital twins

The digital transformation has great potential to trigger an efficient use of resources in the building sector. Digital twins are envisioned as a key enabler for this digital transformation in buildings.

Digital twins have the potential to support a more sustainable built environment, enhancing sustainability and reducing the ecological footprint of buildings. Digital twins play a pivotal role in the digital transformation of buildings by enabling the integration, optimization, and intelligent management of building systems and processes. Digital twins in buildings are capable of enhancing data integration and management, improving building operation and maintenance and optimizing energy management.

A building digital twin is a dynamic, virtual representation of a physical building, encompassing its structure, systems, and operational processes. A digital twin integrates real-time data, simulations and models to mirror the actual building’s behavior, condition, and environment, ultimately enabling  a more sustainable buildings operation.

Despite their benefits, digital twins in buildings face several technical feasibility challenges, related to data integration, interoperability, scalability and technological maturity, and cyber-security and privacy challenges.

By building on shared knowledge and close collaboration with the industry, this research theme aims at demonstrating large scale feasibility and the beneficial societal impact of digital twins.

Related projects

The uniqueness of this research theme is to investigate synergically and to tackle the complexity of digital twin implementation in buildings.

The projects ”Microgrid digital twin for smart buildings” and ”Digital Twin for smart grid connected buildings” deal with the modeling and optimal operation of digital twins at building and district level, developing a holistic digital twin for building and a microgrid digital twin for smart buildings.

The project ”Data driven predictive control for smart buildings” investigates the application of advanced predictive controls buildings to enhance energy efficiency and improve occupant comfort and wellbeing.

The project ”Trustworthy digital twins for Smart Buildings” focuses on data security and privacy with disclosure control for private information and the design GDPR-compliant digital twins.

Read more about the projects:

Contact Digital Twins

Marco Molinari

Marco Molinari
Co-Director
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