Leveraging the energy data space for deploying Digital Twins and big data AI services to speed up energy transition
Energy Data Space has been making available a number of technology building blocks and components aimed to overcome the reluctance of energy operators to share data. Interoperability and trust as enforced by energy data space give energy data owners the capability to have full control over their data, not to mention appropriate business models which facilitates a fair value propagation of data t the interplay among regulated and non regulated energy stakeholders. We will focus on how and to a what extent Energy Data Space has become the enabler for big energy data sharing, and we will present some significant experience on Digital Twins and AI-powered services which are steering the green energy transition.
The session will be structured as follow:
- Welcome and introduction, Massimo Bertoncini (5 min)
- Energy Data Space Building Blocks to facilitate AI-powered Digital Twins, Massimo Bertoncini (8 min)
- The emerging physics-enhanced closed loop Digital Twin for Smart Energy Grids, Prof. Antonello Monti (8 min)
- Digital Twins for Community-Driven Flexibility and Demand Response Unlocking, Elena Boskov-Kovacs (8 min)
- Cross-sector System-of-System Digital Twins for Energy System Optimal Planning, Elissaios Sarmas (8 min)
- Integrating BIMs with Digital Twins for optimizing energy management in smart buildings, Marilena Lazzaro (8 min)
- Q&A from Audience (10 min)
- Conclusions – Massimo Bertoncini (5 min)
