Presentation Description: The cost of uncertainty is critical for an offshore project due to the scale of wind farms (up to several GW). Among the "uncertain" steps of the energy yield assessment is the wind resource assessment. The wind resource assessment is supported by mesoscale data and advanced CFD tools to model local wind flow. In order to calibrate these models to the site, onsite measurement campaigns are carried out using buoy Lidars, platform Lidars and scanning Lidars. The three technologies offer a unique opportunity to capture accurately the wind offshore. Scanning Lidars have also an extended capability to capture the variability of wind speed due to the coast and local obstacles (other wind farms, islands). Indeed, the laser beam scans an entire area, and the data measured can be converted into a horizontal wind speed and direction map. This spatial information can be compared to the model's output in order to calibrate the models. A typical effect that Lidar permits to calibrate is the wind speed decrease close to the coast.
In this presentation, we present several examples of measurement of these wind maps for offshore projects. We focus on how scanning Lidar measurements could support better wind resource assessment.
In order to provide an estimation of the uncertainty of measurement, we present validation studies of Windcube scanning Lidar. These studies show a comparison between a meteorological mast and Windcube scanning Lidar. The algorithm used to combine Lidar data into horizontal wind speeds is the Leosphere LaserCup algorithm. We also investigate new algorithm to provide additional wind information.
