Offwind Project

Prediction tools for offshore wind energy generation.

Key Challenge

The flow of wind between windmills is influenced by other windmills – both on a small and large scale wind farm. So predicting the interaction between wind farms and turbines becomes important for optimized wind energy production or large installations offshore.

Objective

The primary objective is to develop tools for advanced operation assessment and forecasting for offshore wind farms. This will lead to optimal localization of a wind farm and how to allocate future farms with respect to each other within the same wind energy cluster. Assess existing tools with respect to wind flow, meteorology and grid interconnection (MetOcean-CFD codes, meso-/microscale codes, CFD/LES, WRF and PALM) Improve offshore meso-/microscale prediction methodologies Improve mesoscale CFD numerical models for offshore wind predictions using MetOcean Models/ data Configuration wind- Wave interactions, wake evolutions Improve existing optimization tool for offshore wind turbine specification versus wind farm Develop methods for online nowcasting of available farm power (1-60 min)

Expected Results

To gain insight of resolution in simulation, which will help improve the characterization of wind farms. Better understanding and new methods for wind-wave interaction. Improve short term prediction tool for wind velocity and phase fluctuations.

Nordic Added Value

All Nordic countries have large coastlines that lend themselves to offshore wind energy farms. In addition the sites have some of the most favorable wind conditions available. There are significant plans for installation of wind energy farms in the North Sea region.

Plan (work packages)

WP 1: Numerical modeling for wind turbine and wind farm performance predictions
WP 2: Experiments and model validation and calibration
WP 3: Fully coupled wind-wave interaction model
WP 4: Nowcasting of available farm power based on data driven modelling
WP 5: Database