TWIN-EU PROJECT (Jan/2024 - Dec/2026)

The current international situation makes the process of energy transition more critical for Europe than ever before. It is a key requirement to increase the penetration of renewables while aiming at making the infrastructure more resilient and cost-effective. In this context, digital twins (DT) build a key asset to facilitate all aspects of business and operational coordination for system operators and market parties.

It is of fundamental importance to now start a process of agreement at European level so not to develop isolated instances but a federated ecosystem of DT solutions. Each operator should be able to make its own implementation decisions while preserving and supporting interoperability and exchange with the remaining ecosystem. Exactly this is the vision of the TwinEU consortium: enabling new technologies to foster an advanced concept of DT while determining the conditions for interoperability, data and model exchanges through standard interfaces and open APIs to external actors.

The envisioned DT will build the kernel of European data exchange supported by interfaces to the Energy Data Space under development. Advanced modeling supported by AI tools and able to exploit High Performance Computing infrastructure will deliver an unprecedented capability to observe, test and activate a pan-European digital replica of the European energy infrastructure. In this process, reaching consensus is crucial: the consortium therefore gathers an unprecedented number of actors committed to achieving this common goal.

The concepts developed by TwinEU span over 15 different European countries with a continuous coverage of the continental map. Demos will encompass key players at every level from transmission to distribution and market operators, while also testing the coordinated cross-area data exchange. The consortium also includes relevant industry players, research institutions and associations with a clear record in developing innovative solutions for Europe.

This project has received funding from the European Union's Horizon Europe research and innovation programme under grant agreement No 101136119.

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