Improve the accuracy of remote sensing data in complex terrain
Using a WindSim CFD model, this correction study quickly improves the accuracy of your remote sensing data in complex terrain.
Remote sensing devices use SoDAR or LiDAR to measure wind speed and direction at and above the hub height of today’s taller wind turbines. In areas of complex terrain that have convex flow curvature, a bias can be introduced to remote sensing system measurements. A Wind Flow Curvature Correction Study can be used to convert remote sensing data from your wind campaign into “corrected” winds, using a WindSim Computational Fluid Dynamic (CFD) model.
This service is currently available for Vaisala Triton Wind Profiler data.
The Wind Flow Curvature Correction Study primarily consists of a quantitative examination of the provided Triton Wind Profiler data. A CFD model is applied to the domain where the Triton Wind Profiler is installed and the output is a 3D wind vector grid with 5m horizontal resolution and 20m vertical resolution. Vaisala creates an adjustment factor to convert Triton Wind Profiler measured winds into “correct” winds using a two-dimensional look-up table by wind direction and height. The client is provided the corrected dataset, but the original data set remains unchanged for comparison purposes.
For an additional fee, CFD corrections can also be applied to the Triton Wind Profiler "correct" winds to adjust for the difference in wind behavior from the Triton Wind Profiler to the nearby met tower.
Features • A CSV file of the original remote sensing data set • A CSV file of the corrected remote sensing data set with wind speed adjustments at standard station heights • A CSV file of the raw WindSim CFD look-up tables for the remote sensing device’s location, by height and 16 directions • Quality controlled data files of the remote sensing data (upon request, where available)
• Reduced uncertainty • The Wind Flow Curvature Correction Study can be used to reduce the uncertainty of a pre-existing measurement campaign in complex terrain. Reducing the uncertainty generally improves the value of your wind resource assessment.
• Increased applications for your remote sensing system • Project developers who may have been reluctant to use remote sensing systems in complex terrain now have a reliable way of improving the accuracy of remote sensing data
• Transparency and flexibility • Receiving the CSV files of the original data set along with the corrected data set and the look-up tables provides a solid record for use in due diligence and project financing.