Realization of wind field reconstruction for real-time monitoring and LIDAR-assisted control
| Main Authors: | Schlipf, David, Lemmer, Frank, Thomas, Florian |
|---|---|
| Format: | info Proceeding Journal |
| Bahasa: | eng |
| Terbitan: |
, 2021
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/5608684 |
Daftar Isi:
- Presentation at the 5th International Conference on Offshore Renewable Energy Lidar-assisted control solutions have been successfully developed and applied to onshore and offshore wind turbines. Common controllers adjust the generator torque or blade pitch depending on the rotor speed measurement, only. This means they “react” to wind or wave disturbances. If a reconstructed wind field from Lidar data is available, the controller can act even before a disturbance has arrived at the turbine. This yields a more stable power output, reduced loads and increased availability. In the French-German research project VAMOS/FLOATEOLE, a nacelle-based Lidar will be installed on the FLOATGEN prototype together with the real-time Lidar data processing unit by sowento. In a first step, the uncertainty of the Lidar data will be assessed using full-system load and motion measurements, which will be compared against simulated data. Lidar-assisted control is a key concept for floating wind as it serves three objectives: It helps to reduce increased loads due to larger motion amplitudes of the platform, compared to onshore turbines. Second, it increases the knowledge about the environmental conditions like rotor-effective wind speed, wind direction and wind shear. This data is usually not available from standard sensors. If the Lidar data is available in real time, as in VAMOS/FLOATEOLE, monitoring and fault detection applications can access it to improve their reliability. Third, power performance and load levels can be continuously monitored, which is necessary for a dynamic assessment of the cumulated fatigue damage. We want to present our existing simulative results showing the benefit of Lidar-assisted wind field reconstruction. It will be shown that using that knowledge, the short-term rotor speed standard deviation above rated can be reduced by more than 60 percent. Our vision is to develop and test easily adaptable Lidar-assisted control solutions with a competitive cost to be installed on every unit of a floating wind farm.