CARTIF Projects
ENERGYGUARD
Large-Scale Testing and Experimentation Facility (TEF) for Assessing, Validating, and Enhancing AI-Powered Next-Generation Energy Solutions
Description
The EnergyGuard project will create an innovative test platform for artificial intelligence (AI) in the energy sector, integrating five European test centres with a green HPC infrastructure. In this environment, technologies such as wind, solar, hydrogen and storage will be evaluated using digital twins and configurable resources. The platform will facilitate product validation, ensuring trust, cybersecurity and regulatory compliance. It will also support AI regulation through five pilot programmes in the public and private sectors. Its self-sustainable model, based on subscriptions and professional support, will ensure agile access to AI data, models and services across the EU.
Objectives
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- Design, develop and deploy an open, green, robust and scalable TEF (Testing Experimentation Facility) covering the entire value chain of the energy sector.
- Provide a set of integrated tools and services that enable AI innovators to design, develop, execute and monitor artificial intelligence workflows, with the aim of continuously optimising the innovation, flexibility, cybersecurity, resilience and environmental impact of energy systems.
- Establish and test a dynamic environment to assess the reliability and ensure the quality of AI solutions in the sector.
- Create a publicly accessible database on ethical and environmental risks specifically tailored to the energy sector, under the supervision and discussion of national authorities.
- Demonstrate and evaluate EnergyGuard’s EFT services and frameworks by developing, evaluating and deploying AI experiments and solutions in five high-impact use cases.
Actions
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- Creation of a Data Lake, integrating data lifecycle management and data curation processes for IA flows.
- Generation of a digital twin for the hydrogen TEF in order to generate the appropriate monitoring and control strategies for the IA experiments.
- Performing tests on the hydrogen TEF located at CARTIF with electrolyser, hydrogen stack and storage.
- Integration and customisation of the digital twins to favour data interoperability to allow greater configurability of the energy systems.
- Contribution to AI strategies for grid resilience and optimisation through the management of renewable energy sources.
Expected Results
- Data management and curation procedures to ensure the integrability of data in AI strategies.
- Data Lake for data harmonisation following semantic models and ontologies to ensure interoperability.
- Digital hydrogen cell twin with electrolyser and storage to enable monitoring and control.
- IA strategies for the management of renewable energy systems to increase grid resilience.
- APIs for customisation and integration of the digital twins with the Data Lake.
R&D Line
- Research on advanced and intelligent strategies for the management, operation and maintenance of buildings based on AI/ML/DL for the generation of decision support systems.
Partners

Horizon Europe
101172705
Total Budget: 5,752,248.50€
CARTIF Budget: 402,500€
CARTIF Funding: 402,500€
Duration: 01/01/2025 – 31/12/2027
Responsible
José L. Hernández
Energy Division
Networking
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