Intelligent digital twins for renewable energy technologies

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)