Articles | Volume 5, issue 3
https://doi.org/10.5194/wes-5-1059-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-5-1059-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Aug 2020
Research article |
| 24 Aug 2020
| 24 Aug 2020
Multi-lidar wind resource mapping in complex terrain
Technical University of Denmark – DTU Wind Energy, Frederiksborgvej 399, 4000 Roskilde, Denmark
Nikola Vasiljević
Technical University of Denmark – DTU Wind Energy, Frederiksborgvej 399, 4000 Roskilde, Denmark
Johannes Wagner
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, 82234 Oberpfaffenhofen, Germany
Steven P. Oncley
National Center for Atmospheric Research, Earth Observing Laboratory, Boulder, CO, USA
Technical University of Denmark – DTU Wind Energy, Frederiksborgvej 399, 4000 Roskilde, Denmark
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Cited
18 citations as recorded by crossref.
- LES study of turbulent flow fields over a three-dimensional steep hill considering the effects of thermal stratification T. Zhou & T. Ishihara 10.1016/j.compfluid.2024.106521
- Improved wind speed estimation and rain quantification with continuous-wave wind lidar L. Jin et al. 10.1088/1742-6596/2265/2/022093
- Behavior and mechanisms of Doppler wind lidar error in varying stability regimes R. Robey & J. Lundquist 10.5194/amt-15-4585-2022
- Impact of the wind field at the complex-terrain site Perdigão on the surface pressure fluctuations of a wind turbine F. Wenz et al. 10.5194/wes-7-1321-2022
- Triple-lidar measurements of wind across a virtual rotor plane over a sea surface M. Nafisifard et al. 10.1088/1742-6596/2626/1/012022
- Fast Dual-LiDAR Reconstruction for Dynamic Wind Field Retrieval Y. Bao et al. 10.3390/atmos13060905
- Inter-comparison study of wind measurement between the three-lidar-based virtual tower and four lidars using VAD techniques X. Liu et al. 10.1080/10095020.2024.2307930
- Evaluation of a forest parameterization to improve boundary layer flow simulations over complex terrain. A case study using WRF-LES V4.0.1 J. Quimbayo-Duarte et al. 10.5194/gmd-15-5195-2022
- Filtering of pulsed lidar data using spatial information and a clustering algorithm L. Alcayaga 10.5194/amt-13-6237-2020
- Wind-Tunnel Experiments of Turbulent Wind Fields over a Two-dimensional (2D) Steep Hill: Effects of the Stable Boundary Layer W. Zhang et al. 10.1007/s10546-023-00820-2
- WindsPT e-Science platform for wind measurement campaigns D. Gomes et al. 10.1088/1742-6596/2265/2/022081
- Research challenges and needs for the deployment of wind energy in hilly and mountainous regions A. Clifton et al. 10.5194/wes-7-2231-2022
- Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain A. Wise et al. 10.5194/wes-7-367-2022
- Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars L. Jin et al. 10.5194/amt-16-6007-2023
- A comprehensive procedure to process scanning lidar data for engineering wake model validation L. Hung et al. 10.1088/1742-6596/2265/2/022091
- Offshore wind farm global blockage measured with scanning lidar J. Schneemann et al. 10.5194/wes-6-521-2021
- Evaluation of the Sensitivity of PBL and SGS Treatments in Different Flow Fields Using the WRF-LES at Perdigão E. Yılmaz et al. 10.3390/en18061372
- Revealing inflow and wake conditions of a 6 MW floating turbine N. Angelou et al. 10.5194/wes-8-1511-2023
18 citations as recorded by crossref.
- LES study of turbulent flow fields over a three-dimensional steep hill considering the effects of thermal stratification T. Zhou & T. Ishihara 10.1016/j.compfluid.2024.106521
- Improved wind speed estimation and rain quantification with continuous-wave wind lidar L. Jin et al. 10.1088/1742-6596/2265/2/022093
- Behavior and mechanisms of Doppler wind lidar error in varying stability regimes R. Robey & J. Lundquist 10.5194/amt-15-4585-2022
- Impact of the wind field at the complex-terrain site Perdigão on the surface pressure fluctuations of a wind turbine F. Wenz et al. 10.5194/wes-7-1321-2022
- Triple-lidar measurements of wind across a virtual rotor plane over a sea surface M. Nafisifard et al. 10.1088/1742-6596/2626/1/012022
- Fast Dual-LiDAR Reconstruction for Dynamic Wind Field Retrieval Y. Bao et al. 10.3390/atmos13060905
- Inter-comparison study of wind measurement between the three-lidar-based virtual tower and four lidars using VAD techniques X. Liu et al. 10.1080/10095020.2024.2307930
- Evaluation of a forest parameterization to improve boundary layer flow simulations over complex terrain. A case study using WRF-LES V4.0.1 J. Quimbayo-Duarte et al. 10.5194/gmd-15-5195-2022
- Filtering of pulsed lidar data using spatial information and a clustering algorithm L. Alcayaga 10.5194/amt-13-6237-2020
- Wind-Tunnel Experiments of Turbulent Wind Fields over a Two-dimensional (2D) Steep Hill: Effects of the Stable Boundary Layer W. Zhang et al. 10.1007/s10546-023-00820-2
- WindsPT e-Science platform for wind measurement campaigns D. Gomes et al. 10.1088/1742-6596/2265/2/022081
- Research challenges and needs for the deployment of wind energy in hilly and mountainous regions A. Clifton et al. 10.5194/wes-7-2231-2022
- Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain A. Wise et al. 10.5194/wes-7-367-2022
- Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars L. Jin et al. 10.5194/amt-16-6007-2023
- A comprehensive procedure to process scanning lidar data for engineering wake model validation L. Hung et al. 10.1088/1742-6596/2265/2/022091
- Offshore wind farm global blockage measured with scanning lidar J. Schneemann et al. 10.5194/wes-6-521-2021
- Evaluation of the Sensitivity of PBL and SGS Treatments in Different Flow Fields Using the WRF-LES at Perdigão E. Yılmaz et al. 10.3390/en18061372
- Revealing inflow and wake conditions of a 6 MW floating turbine N. Angelou et al. 10.5194/wes-8-1511-2023
Latest update: 30 Jun 2025
Short summary
The estimation of wind resources in complex terrain is challenging as the wind conditions change significantly over short distances, different to flat terrain, where spatial changes are small. We demonstrate in this work that wind lidars can remotely map wind resources over large areas. This will have implications for the planning of wind energy projects and ultimately reduce uncertainties in wind resource estimations in complex terrain, making such areas more interesting for future development.
The estimation of wind resources in complex terrain is challenging as the wind conditions change...
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