About the project
The AIDT4WIND project aims to improve the efficiency, reliability, and sustainability of wind energy systems through an integrated AI-driven digital twin platform. It enhances wind turbine operation and maintenance by enabling real-time monitoring, predictive maintenance, and self-diagnostic capabilities to detect faults early, reduce unplanned downtime, and extend turbine lifespan. To ensure secure and resilient energy infrastructure, the project also develops advanced cybersecurity mechanisms for monitoring digital systems, detecting vulnerabilities, and preventing unauthorized access. In addition, AIDT4WIND improves wind energy forecasting by combining AI models with meteorological data to increase prediction accuracy, optimize energy production, and reduce financial uncertainty. It also promotes stakeholder engagement and community participation to strengthen public acceptance and support transparent, collaborative decision-making in renewable energy deployment.
Wind energy systems face major challenges including high operation and maintenance costs, limited turbine-level intelligence in current optimisation platforms, forecasting uncertainties, and increasing cybersecurity risks in digitalised infrastructures. Existing solutions often focus on system-level optimisation and lack real-time adaptability to turbine-specific conditions and operational risks. AIDT4WIND addresses these limitations by introducing an AI-driven digital twin platform capable of adaptive monitoring, predictive maintenance, and intelligent operational optimisation. The approach combines digital twin technology with smart component blocks for twinning, simulation-supported predictive maintenance, collaborative AI agents for fleet-level analysis, high-resolution weather and energy forecasting models, and a data-driven cybersecurity monitoring framework, enabling more efficient, resilient, and secure wind farm operations beyond current state-of-the-art solutions.
AIDT4WIND will deliver an integrated AI-driven digital twin platform that enhances wind farm operation, maintenance, forecasting, and cybersecurity and will be validated at Entek’s Süloglu Wind Farm. It will generate advanced solutions including predictive maintenance tools, high-resolution meteorological and energy forecasting models, and cybersecurity monitoring capabilities for digital wind energy infrastructures. These results will improve turbine performance, operational reliability, and overall system efficiency while reducing maintenance costs and risks. By enabling early fault detection and intelligent optimisation, the platform is expected to significantly reduce unplanned downtime and extend turbine lifespan. Improved forecasting accuracy and decision support will increase energy output and reduce production uncertainties. Overall, AIDT4WIND will contribute to lower operational costs through Levelized Cost of Energy (LCOE) optimisation, improved grid integration, and reduced environmental impact, supporting Europe’s transition to a more efficient and sustainable energy system.