Updated on 8 August 2025
Intelligent digital twins for renewable energy technologies
Head of Wind Energy Innovation Division at Eastern Switzerland University of Applied Sciences
Switzerland
About
For the CET Partnership Joint Call 2025, we would like to offer a work package on “Intelligent digital twins for renewable energy technologies”.
We will develop an open-source intelligent digital twin framework that can be used for different renewable energy technologies for control and performance optimisation tasks. It ingests and organises diverse data sets in a knowledge graph structure, based on underlying ontologies and semantic models, which will be developed within the project and based on existing data standards, frameworks and FAIR principles. It orchestrates the running of a range of different analytics tools and AI models, depending on the needs of the user and the data available. It uses LLMs to allow users to query structured domain knowledge and make informed decisions. It can be applied to several use cases provided by other consortium members, and will be aligned with our existing SNSF-funded project “Formal workflows for intelligent digital twins in wind energy” (see attached figure)
Type
- R&D Partner
- Demonstrator
Organisation
Similar opportunities
Project cooperation
Digital Twin, Advanced Analytics and Model‑Based Optimisation Partner
- Other
- R&D Partner
- Technology Partner
Irem Simsek
R&D Senior Researcher - Project and Technology Management at TUPRAS - Turkish Petroleum Refineries Corporation Inc.
Istanbul, Türkiye
Project cooperation
- R&D Partner
- Call Module 2026-07: Heating and cooling technologies
- Call Module 2026-10: Clean energy integration in the built environment
- Call Module 2026-01: Integrated energy system resilience in a changing environment
- Call Module 2026-03A/03B: Advanced renewable energy (RE) technologies for power production
- Call Module 2026-02 Energy system flexibility in a high renewable energy sources (RES) scenario: energy generation, storage and system integration
Pilar Herrera Plaza
Artificial Intelligence Researcher at Asociación de la Industria Navarra (AIN)
Cordovilla-Pamplona, Spain
Project cooperation
Hydrogen drone for logistics scenarios and application
- Other
- R&D Partner
- Demonstrator
- Technology Partner
- Validator/Living lab
- Call Module 2026-05: Hydrogen and renewable fuel
- Call Module 2026-04: Industrial carbon management
- Call Module 2026-07: Heating and cooling technologies
- Call Module 2026-08: Integrated regional energy systems
- Call Module 2026-09: Integrated industrial energy systems
- Call Module 2026-10: Clean energy integration in the built environment
- Call Module 2026-01: Integrated energy system resilience in a changing environment
- Call Module 2026-03A/03B: Advanced renewable energy (RE) technologies for power production
- Call Module 2026-06: Stationary battery technologies and systems for climate-neutral industry and built environment
Christoph Wenge
research at Fraunhofer Institute for Factory Operation and Automation IFF
Magdeburg, Germany