Research Project DODONA

DODONA - Dual-doppler Offshore Lidar for Optimisation of Offshore Wind Farm O&M

The increasing demand for cost-effective renewable energy requires project developers and operators of offshore wind farms to minimize risks in planning, optimize operational management and generally reduce costs.

In the German-British cooperation project DODONA, we are pursuing the overarching goal of significantly reducing the costs and risks of offshore wind energy utilization. To achieve this goal, the high-precision wind and turbulence measurements of the Dual-Doppler Scanning Lidar (DDL technology) will be used. This enables AI-supported optimization of operation and maintenance, improved site and resource assessment as well as more precise estimation of turbine loads and improved component design.

As part of the project, the influence of wind turbulence will be illustrated for the first time on the German side using DDL measurements for risk-based maintenance and performance monitoring and mapped in prediction models. This will provide wind farm operators with important information for the operation of their wind turbines. The combination of WSO's AI-based PRE-DIXXION software with the precise and flexible DDL technology, which is being further developed by the German project partners, enables improved consideration of inflow conditions in the operational management of wind turbines. In particular, the precise turbulence measurements of the DDL technology and its ability to measure on several wind turbines simultaneously offer great potential for improvement. On the UK side, the project partners are looking to use DDL turbulence measurements to optimize site and resource assessment and enable more accurate calculation of thrust, fatigue and turbine loading. The technical developments in the DODONA project are based on an offshore measurement campaign lasting several months and the modeling of corrections for turbulence determination with DDL.

Funding: Federal Ministry for Economic Affairs and Climate Action

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