Poster: Validating CFD-based flow curvature bias correction for remotely sensed winds in complex terrain
27 Sep 17
4:45 PM
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5:45 PM
Tracks:
Poster Presentation
Flow curvature bias remains the leading impediment to widespread adoption of remote sensing for wind resource assessment in complex terrain. Previous studies have shown that the flow pattern can be predicted with CFD modeling, yielding a correction to compensate for the flow-induced bias. This paper presents results from correcting remote sensor measurements based on flow predictions from a commercially available CFD model, configured in a relatively simple and repeatable way. Twenty-three remote sensor / tower pairs were tested in locations with a range of terrain complexity, in which the CFD model provided both flow curvature and sensor-to-tower site calibration factors, as a function of height and direction sector. The distribution of mean wind speed bias across all sites is shown, before and after correction, and the merit of CFD based complex flow correction is evaluated based on the consistency of bias improvement seen at the different sites.