Emerging mobile lidar technology to study boundary layer winds influenced by operating turbines

Abstract. The development of a microjoule-class pulsed Doppler lidar and deployment of this compact system on mobile platforms such as aircraft, ships, or trucks have opened a new opportunity to characterize the dynamics of complex mesoscale wind flows. The PickUp-based Mobile Atmospheric Sounder (PUMAS) truck-based lidar system was recently used during the American Wake Experiment (AWAKEN) to assess the general structure of boundary layer (BL) wind and turbulence around wind turbines in central Oklahoma. Wind speed profiles averaged over PUMAS transects influenced by the operating turbines (waked flow) show a 1–2 m s−1 reduction compared to mean undisturbed (free flow) wind speed profiles. Spatial variability in wind speed was observed in time–height cross-sections at different distances from turbines. The wind speeds were about 9–12 m s−1 at 6 km distance compared to 5–7 m s−1 at the transects near the turbines. The PUMAS dataset from AWAKEN demonstrated the capability of the mobile Doppler lidar system to document spatial variability in wind flows at different distances from wind turbines and obtain quantitative estimates of wind speed reduction in the waked flow. The high-frequency, simultaneous measurements of the horizontal and vertical winds provide a new approach for characterizing dynamic processes critical for wind farm wake analyses.

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Publication Details

Journal
Wind energy science
Published
2026-02-10
DOI
https://doi.org/10.5194/wes-11-417-2026
Primary Topic
Wind Energy Research and Development
Type
article
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article

Emerging mobile lidar technology to study boundary layer winds influenced by operating turbines

Edward Strobach, Yelena L. Pichugina, Michael Zucker, Robert M. Banta et al.
Wind energy science
Wind Energy Research and Development
article

Emerging mobile lidar technology to study boundary layer winds influenced by operating turbines

Edward Strobach, Yelena L. Pichugina, Michael Zucker, Robert M. Banta, Brandi McCarty, Richard D. Marchbanks, Nicola Bodini, Patrick Moriarty, Alan W. Brewer, Brian Carroll, Stefano Letizia, Sunil Baidar, Maxwell Holloway
article en

Abstract

Abstract. The development of a microjoule-class pulsed Doppler lidar and deployment of this compact system on mobile platforms such as aircraft, ships, or trucks have opened a new opportunity to characterize the dynamics of complex mesoscale wind flows. The PickUp-based Mobile Atmospheric Sounder (PUMAS) truck-based lidar system was recently used during the American Wake Experiment (AWAKEN) to assess the general structure of boundary layer (BL) wind and turbulence around wind turbines in central Oklahoma. Wind speed profiles averaged over PUMAS transects influenced by the operating turbines (waked flow) show a 1–2 m s−1 reduction compared to mean undisturbed (free flow) wind speed profiles. Spatial variability in wind speed was observed in time–height cross-sections at different distances from turbines. The wind speeds were about 9–12 m s−1 at 6 km distance compared to 5–7 m s−1 at the transects near the turbines. The PUMAS dataset from AWAKEN demonstrated the capability of the mobile Doppler lidar system to document spatial variability in wind flows at different distances from wind turbines and obtain quantitative estimates of wind speed reduction in the waked flow. The high-frequency, simultaneous measurements of the horizontal and vertical winds provide a new approach for characterizing dynamic processes critical for wind farm wake analyses.

Wind energy scienceVol. 11(2)
National Laboratory of the Rockies (US), Cooperative Institute for Research in Environmental Sciences (US), University of Colorado Boulder (US), NOAA Chemical Sciences Laboratory (US), University of Maryland, College Park (US)
Affordable and clean energy
Openalex Percentile: Top 62%
Wind Energy Research and Development
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