EGU24-17552, updated on 11 Mar 2024
https://doi.org/10.5194/egusphere-egu24-17552
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Long range lidar for short term wind predictions for offshore wind parks

Janina Bade1, Hans-Jürgen Kirtzel1, Leon Heinze1, Piet Markmann1, Gerhard Peters1, Christoph Bollig2, Sebastian Ulonska2, Florian Jordan2, and Guntram Huschenbeth2
Janina Bade et al.
  • 1Metek GmbH, Elmshorn, Germany (info@metek.de)
  • 2Abacus Laser GmbH, Göttingen , Germany (info@abacus-laser.com)

A novel lidar prototype for horizontal Doppler wind measurements with more than 30 km maximum range is presented. The request for such long-range measurements arose from the development of methods for improved prediction of potential and actual feed-in of wind power from offshore wind farms in the project WindRamp. The target is a short-term prediction horizon of up to 30 minutes.

The coherent lidar module is based on a robust fiber amplifier architecture developed within the project. This enables deployment in harsh environments in the future, e.g. at offshore wind farms. The emitted laser beam is eye save (class 1M).

In order to emulate operating conditions of an offshore platform, the system was deployed at the mouth of the Elbe river at 10 m above sea level with unobstructed view in a broad SW-sector. Scans between 204° and 304° azimuth at 0.35° Elevation were performed. The averaging time was 1 s and the angular speed 0.6° s-1.

The lidar performance is demonstrated by observations of wind fronts propagating through the observed area. The weather in North Germany during winter 2023/24 was characterized by unusual persistent precipitation, low hanging clouds and fog, which are unfavourable conditions for lidar operation. Therefore, the observed availability of valid data versus range represents a conservative estimate of the system’s potential.

How to cite: Bade, J., Kirtzel, H.-J., Heinze, L., Markmann, P., Peters, G., Bollig, C., Ulonska, S., Jordan, F., and Huschenbeth, G.: Long range lidar for short term wind predictions for offshore wind parks, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-17552, https://doi.org/10.5194/egusphere-egu24-17552, 2024.