As Europe moves towards its climate-neutrality goals, integrating AI into energy systems is being presented as a way to improve efficiency, resilience, and sustainability. The EU-funded AI-EFFECT project is developing a European testing and experimentation facility (TEF) to support the development and adoption of AI solutions for the energy industry while ensuring safety, reliability, and compliance with EU regulations.
The TEF is described as a virtual network linking existing laboratories and computing resources across several EU countries. It is designed to provide standardised testing environments, risk and certification workflows, and replicable methods for developing, testing, and validating AI applications for critical energy infrastructures under diverse, real-world conditions.
The facility operates through four national nodes in Denmark, Germany, the Netherlands, and Portugal, each focused on a different set of energy challenges. In Denmark, the node led by the Technical University of Denmark is testing AI in virtual and physical multi-energy systems, including coordination between electric power grid operations and district heating systems in the Triangle Region in Jutland and on the island of Bornholm.
In the Netherlands, the node at Delft University of Technology is extending the university’s ‘control room of the future’ with AI capabilities to address grid congestion as renewable generation increases.
In Portugal, the node led by INESC TEC is developing a trusted local energy data space intended to address privacy concerns and connectivity gaps through secure, consent-based energy data sharing. The AI-EFFECT project says consumers and prosumers will be able to manage data rights and permissions in line with EU regulations while working with AI-driven service providers on co-creation and testing.
In Germany, the Fraunhofer-led node is focused on AI for power distribution systems and is developing a near-realistic cyber-physical model to benchmark AI performance in congestion management and distributed energy resource integration against traditional engineering approaches.
Alberto Dognini, project coordinator of EPRI Europe, Ireland, wrote in an Enlit news item: ‘Together, these four nodes form the backbone of AI-EFFECT’s mission to make AI a trusted partner in Europe’s energy transition.’ He added: ‘From optimising multi-energy systems to enabling secure data sharing and improving grid resilience, these nodes will accelerate innovation while reducing risk for operators and consumers alike.’
AI-EFFECT is also sharing its work through public-facing initiatives, including the EPRI Current Podcast. In the episode ‘Exploring the AI-EFFECT on Europe’s Energy Future’, participants discuss the architecture and building blocks supporting distributed nodes across multiple countries and examine how the TEF could shape the future of Europe’s energy systems.
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