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About HYBRID WIND
Wind energy has helped achieve the 20% target set out in the EU's renewable energy directive, and is expected to reach 300 GW by 2050 in recent EU scenarios in line with the EU Green Deal and the RePower EU Plan.
The robustness and sensitivity to weather effects3 of damage detection and prediction systems is critical to wind energy cost-effectiveness and subsequent rollout, use, and adoption. Achieving higher production availability of high-MW wind turbines requires advanced asset management tools.
These are the challenges we will address in HYBRID WIND.
Workpackages
Project objectives will be realised through the development of a high-accuracy, real-time DT approach that combines design and simulation tools, testing methods, and data analysis technologies developed within the project and validated in the lab and on an in-operation 2.2 MW WT.
The project’s ambition is to leverage innovations in ICT and ML to allow radical improvements in damage detection and predictive maintenance for WTs, resulting in more available, inexpensive, and long-lasting WT installations.
