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HIPERWIND

HIghly advanced Probabilistic design and Enhanced Reliability methods for high-value, cost-efficient offshore wind.

The project has achieved up to a 9% reduction in the cost of energy from offshore wind by developing innovative design simulation models that allow a better understanding of the complex physics influencing large offshore wind farms. Offshore wind turbines face higher wind speeds than onshore turbines and face strong ocean currents, requiring more robust designs and significantly higher capital costs. While they generate more energy due to stronger winds, these increased costs result in a higher levelized cost of energy (LCOE). While research and innovation in wind energy tend to be incremental, achieving an LCOE reduction of 9% is a big leap forward. It paves the way for investments in offshore wind farms and can help speed up the green transition. 

Read more in the HIPERWIND press release

Work Packages

HIPERWIND uses advanced mathematical methods, high-quality data, and high-fidelity computational tools
to push the state of the art in the wind energy design and reliability prediction. Follow the link below to read more about the seven Work Packages (WPs).

Work Packages

Partners





HIPERWIND brought together a strong consortium combining universities and research organisations with industrial end-users. The partners are DTU (DK), ETH Zürich (CH), EDF (FR), IFP Energies nouvelles (FR), Electric Power Research Institute, Europe (IE), University of Bergen (NO) and DNV (NO).

Partners

Funding

This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 101006689.
The project was active for three and a half years, between 2020 and 2024.

Further information