Following the recently started CETPartnership project FLEXI and the newly funded CETPartnership project twinRE, TwinD is the third active 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 the clean energy transition.
Over the next 42 months, the international consortium will develop digital twin technologies to improve the reliability, availability, and maintainability of wind energy systems. TwinD will combine low-code digital twin engineering, multimodal reliability prediction, real-time condition and health monitoring, technician-oriented 3D/XR support, risk-aware maintenance scheduling, and cloud-native deployment automation.
A key strength of TwinD is its strong industrial validation across the wind energy value chain. The developed technologies will be validated in real and relevant wind-operation contexts, including wind-fleet operation, aggregator-based system constraints, transmission-system operation, and wind operation and maintenance services. This enables TwinD to address not only technical prediction and monitoring, but also the practical scheduling, grid, market, and maintenance constraints that determine how wind farms are operated in practice.
The project brings together nine partners from six countries, combining expertise from universities, SMEs, technology providers, wind operators, aggregators, and transmission-system actors. The consortium includes the University of Innsbruck as coordinator, Aalborg University (Denmark), CheckWatt (Sweden), Styr och Mätteknik Sverige AB (Sweden), Zorlu Enerji (Türkiye), MEPSO (North Macedonia), ThingLink (Finland), ModelarData (Denmark), and LieberLieber (Austria). The project is additionally supported by industrial and system-level expertise from advisory partners including Bachmann electronic (Austria) and MEMO (North Macedonia).
TwinD builds on previous and ongoing projects such as MATISSE and FLEXI, and further establishes the University of Innsbruck as an important European research centre for digital twins, artificial intelligence, and cloud technologies supporting reliable, sustainable, and competitive renewable energy systems.