Turbine-scale wind field measurements using dual-Doppler lidar
Article first published online: 17 DEC 2013
Copyright © 2013 John Wiley & Sons, Ltd.
How to Cite
Newsom, R. K., Berg, L. K., Shaw, W. J. and Fischer, M. L. (2013), Turbine-scale wind field measurements using dual-Doppler lidar. Wind Energ.. doi: 10.1002/we.1691
- Article first published online: 17 DEC 2013
- Manuscript Accepted: 17 OCT 2013
- Manuscript Revised: 11 OCT 2013
- Manuscript Received: 27 SEP 2012
- Doppler lidar;
- wind measurement
Spatially resolved measurements of microscale winds are retrieved using scanning dual-Doppler lidar and then compared with independent in situ wind measurements. Data for this study were obtained during a month-long field campaign conducted at a site in north-central Oklahoma in November of 2010. Observational platforms include one instrumented 60 m meteorological tower and two scanning coherent Doppler lidars. The lidars were configured to perform coordinated dual-Doppler scans surrounding the 60 m tower, and the resulting radial velocity observations were processed to retrieve the three-component velocity vector field on surfaces defined by the intersecting scan planes. The dual-Doppler analysis method is described, and three-dimensional visualizations of the retrieved fields are presented.
The retrieved winds are compared with sonic anemometer (SA) measurements at the 60 m level on the tower. The Pearson correlation coefficient between the retrievals and the SA wind speeds was greater than 0.97, and the wind direction difference was very small (<0.1o), suggesting that the dual-Doppler technique can be used to examine fine-scale variations in the flow. However, the mean percent difference between the SA and dual-Doppler wind speed was approximately 15%, with the SA consistently measuring larger wind speeds. To identify the source of the discrepancy, a multi-instrument intercomparison study was performed involving lidar wind speeds derived from standard velocity-azimuth display (VAD) analysis of plan position indicator scan data, a nearby 915 MHz radar wind profiler (RWP) and radiosondes. The lidar VAD, RWP and radiosondes wind speeds were found to agree to within 3%. By contrast, SA wind speeds were found to be approximately 14% larger than the lidar VAD wind speeds. These results suggest that the SA produced wind speeds that were too large. Copyright © 2013 John Wiley & Sons, Ltd.