Following the recently started CETPartnership project FLEXI, twinRE is the second European collaborative project coordinated by Ass.-Prof. Sashko Ristov, further strengthening his research activities in model-driven, AI-assisted, and cloud-native digital twins for renewable energy systems.
Over the next 36 months, the international consortium will develop a new generation of AI-orchestrated digital twins for hybrid renewable energy systems combining photovoltaic, wind, and battery storage technologies. The project will integrate low-code digital twin engineering, federated digital twin models, multimodal forecasting, and AI-assisted operational optimisation to improve the efficiency, flexibility, and reliability of renewable energy systems.
A key strength of twinRE is its strong industrial validation. The developed technologies will be validated across five industrial and laboratory use cases in Austria, Sweden, France, Denmark, and North Macedonia, covering renewable energy producers, aggregators, technology providers, and research laboratories. In particular, the project includes operational validation in real power-system environments through the Macedonian partners MEPSO, MEMO, and EVN Macedonia, bringing transmission-system, electricity-market, and renewable-energy operation perspectives into the project.
The project brings together 11 partners from five countries, combining expertise from universities, research organisations, SMEs, renewable energy companies, and electricity system operators. The consortium includes the University of Innsbruck (Austria) as coordinator, Aalborg University (Denmark), Grenoble INP (France), CheckWatt (Sweden), ModelarData (Denmark), LieberLieber, FEN Research, Energie Ingenieure Consulting (Austria), together with the Macedonian energy-sector partners MEPSO, MEMO, and EVN Macedonia. The project is additionally supported by Bachmann electronic as a member of the Advisory Board, contributing industrial expertise and technologies for validation.
The proposal received the highest evaluation scores for Excellence and for Quality and Efficiency of the Implementation, recognising both its scientific quality and the strength of the international consortium.
Building on previous projects such as MATISSE and the recently started FLEXI, twinRE further establishes the University of Innsbruck as an important European research centre for digital twins, artificial intelligence, and cloud technologies supporting the clean energy transition.