Articles | Volume 7, issue 1
https://doi.org/10.5194/wes-7-367-2022
© Author(s) 2022. 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-7-367-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Feb 2022
Research article |
| 17 Feb 2022
| 17 Feb 2022
Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain
Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, California, USA
James M. T. Neher
Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, California, USA
Robert S. Arthur
Lawrence Livermore National Laboratory, Livermore, California, USA
Jeffrey D. Mirocha
Lawrence Livermore National Laboratory, Livermore, California, USA
Julie K. Lundquist
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado, USA
National Renewable Energy Laboratory, Golden, Colorado, USA
Fotini K. Chow
Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, California, USA
Viewed
Total article views: 4,085 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 May 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,693 | 1,313 | 79 | 4,085 | 67 | 74 |
- HTML: 2,693
- PDF: 1,313
- XML: 79
- Total: 4,085
- BibTeX: 67
- EndNote: 74
Total article views: 2,816 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Feb 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,100 | 664 | 52 | 2,816 | 52 | 58 |
- HTML: 2,100
- PDF: 664
- XML: 52
- Total: 2,816
- BibTeX: 52
- EndNote: 58
Total article views: 1,269 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 May 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 593 | 649 | 27 | 1,269 | 15 | 16 |
- HTML: 593
- PDF: 649
- XML: 27
- Total: 1,269
- BibTeX: 15
- EndNote: 16
Viewed (geographical distribution)
Total article views: 4,085 (including HTML, PDF, and XML)
Thereof 3,924 with geography defined
and 161 with unknown origin.
Total article views: 2,816 (including HTML, PDF, and XML)
Thereof 2,724 with geography defined
and 92 with unknown origin.
Total article views: 1,269 (including HTML, PDF, and XML)
Thereof 1,200 with geography defined
and 69 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
14 citations as recorded by crossref.
- Implications of complex terrain topography on the performance of a real wind farm F. Bernardoni et al. 10.1088/1742-6596/2505/1/012052
- Multi-scale modeling of a wind turbine wake in complex terrain B. Kale et al. 10.1088/1742-6596/2505/1/012012
- Impact of atmospheric turbulence on wind farms sited over complex terrain J. Singh & J. Alam 10.1063/5.0222245
- The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data R. Braunbehrens et al. 10.5194/wes-8-691-2023
- Influences of lidar scanning parameters on wind turbine wake retrievals in complex terrain R. Robey & J. Lundquist 10.5194/wes-9-1905-2024
- Impact of urban canopy characteristics on turbulence dynamics: Insights from large eddy simulation G. Tian et al. 10.1016/j.buildenv.2024.111183
- A meso- to micro-scale coupled model under typhoon conditions considering vortex structure and coriolis effect for wind farms T. Li et al. 10.1016/j.jweia.2024.105922
- Analysis of Vertical Wind Shear Effects on Offshore Wind Energy Prediction Accuracy Applying Rotor Equivalent Wind Speed and the Relationship with Atmospheric Stability G. Ryu et al. 10.3390/app12146949
- Behavior and mechanisms of Doppler wind lidar error in complex terrain: stable flow case study at Perdigão A. Black et al. 10.1088/1742-6596/2767/5/052062
- One-year-long turbulence measurements and modeling using large-eddy simulation domains in the Weather Research and Forecasting model A. Peña & J. Mirocha 10.1016/j.apenergy.2024.123069
- Sensitivity of multiscale large Eddy simulations for wind power calculations in complex terrain G. De Moliner et al. 10.1016/j.apenergy.2024.123195
- Evaluation of turbulence characteristics in WRF simulations at WiValdi wind park G. Kilroy et al. 10.1088/1742-6596/2767/5/052063
- Comparison of the wake characteristics and aerodynamic response of a wind turbine under varying atmospheric conditions using WRF-LES-GAD and WRF-LES-GAL wind turbine models B. Kale et al. 10.1016/j.renene.2023.119051
- 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
13 citations as recorded by crossref.
- Implications of complex terrain topography on the performance of a real wind farm F. Bernardoni et al. 10.1088/1742-6596/2505/1/012052
- Multi-scale modeling of a wind turbine wake in complex terrain B. Kale et al. 10.1088/1742-6596/2505/1/012012
- Impact of atmospheric turbulence on wind farms sited over complex terrain J. Singh & J. Alam 10.1063/5.0222245
- The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data R. Braunbehrens et al. 10.5194/wes-8-691-2023
- Influences of lidar scanning parameters on wind turbine wake retrievals in complex terrain R. Robey & J. Lundquist 10.5194/wes-9-1905-2024
- Impact of urban canopy characteristics on turbulence dynamics: Insights from large eddy simulation G. Tian et al. 10.1016/j.buildenv.2024.111183
- A meso- to micro-scale coupled model under typhoon conditions considering vortex structure and coriolis effect for wind farms T. Li et al. 10.1016/j.jweia.2024.105922
- Analysis of Vertical Wind Shear Effects on Offshore Wind Energy Prediction Accuracy Applying Rotor Equivalent Wind Speed and the Relationship with Atmospheric Stability G. Ryu et al. 10.3390/app12146949
- Behavior and mechanisms of Doppler wind lidar error in complex terrain: stable flow case study at Perdigão A. Black et al. 10.1088/1742-6596/2767/5/052062
- One-year-long turbulence measurements and modeling using large-eddy simulation domains in the Weather Research and Forecasting model A. Peña & J. Mirocha 10.1016/j.apenergy.2024.123069
- Sensitivity of multiscale large Eddy simulations for wind power calculations in complex terrain G. De Moliner et al. 10.1016/j.apenergy.2024.123195
- Evaluation of turbulence characteristics in WRF simulations at WiValdi wind park G. Kilroy et al. 10.1088/1742-6596/2767/5/052063
- Comparison of the wake characteristics and aerodynamic response of a wind turbine under varying atmospheric conditions using WRF-LES-GAD and WRF-LES-GAL wind turbine models B. Kale et al. 10.1016/j.renene.2023.119051
1 citations as recorded by crossref.
Latest update: 13 Dec 2024
Short summary
Wind turbine wake behavior in hilly terrain depends on various atmospheric conditions. We modeled a wind turbine located on top of a ridge in Portugal during typical nighttime and daytime atmospheric conditions and validated these model results with observational data. During nighttime conditions, the wake deflected downwards following the terrain. During daytime conditions, the wake deflected upwards. These results can provide insight into wind turbine siting and operation in hilly regions.
Wind turbine wake behavior in hilly terrain depends on various atmospheric conditions. We...
Altmetrics
Final-revised paper
Preprint