1.4b_Wuerth: Experiences, Challenges and Opportunities of Lidar-Based Minute-Scale Forecasting in Complex Terrain

Ines Wuerth, Svenja Ellinghaus, Wigger Maayen, Malte-Justus Niemeier, Andrew Clifton, Po-Wen Cheng
2019 Zenodo  
The national funded WindforS project VORKAST investigated the use of a long-range lidar for very short-term power forecasting of a wind turbine in complex terrain. This ability is essential for the grid integration of large amounts of wind energy. This paper describes the process of setting up the lidar, data handling, and wind eld reconstruction. A process based on Taylor's frozen turbulence hypothesis is used to propagate wind speeds to the turbine and to forecast wind ramps. The lidar-based
more » ... s. The lidar-based forecast is currently less accurate than persistence in these conditions. It is expected that the use of a more realistic propagation model will improve the forecasts in such complex terrain.
doi:10.5281/zenodo.3405263 fatcat:ckp2lrcqxbgmnlobhmhdoyqwbm