Articles | Volume 6, issue 1
https://doi.org/10.5194/wes-6-45-2021
© Author(s) 2021. 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-6-45-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Jan 2021
Research article |
| 07 Jan 2021
| 07 Jan 2021
Mountain waves can impact wind power generation
National Renewable Energy Laboratory, Golden, CO 80401, USA
Rochelle P. Worsnop
Cooperative Institute for Research in the Environmental Sciences,
University of Colorado Boulder, Boulder, CO 80309, USA
Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
National Renewable Energy Laboratory, Golden, CO 80401, USA
Yelena Pichugina
Cooperative Institute for Research in the Environmental Sciences,
University of Colorado Boulder, Boulder, CO 80309, USA
Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Duli Chand
Pacific Northwest National Laboratory, Richland, WA 99352, USA
Julie K. Lundquist
National Renewable Energy Laboratory, Golden, CO 80401, USA
Department of Atmospheric and Oceanic Sciences, University of Colorado
Boulder, Boulder, CO 80302, USA
Justin Sharp
Sharply Focused, LLC, Portland, OR 97232, USA
Garrett Wedam
Avangrid Renewables, Portland, OR 97209, USA
Natural Power, Seattle, WA 98121, USA
James M. Wilczak
Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Larry K. Berg
Pacific Northwest National Laboratory, Richland, WA 99352, USA
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- Comparison of Observations and Predictions of Daytime Planetary-Boundary-Layer Heights and Surface Meteorological Variables in the Columbia River Gorge and Basin During the Second Wind Forecast Improvement Project L. Bianco et al. 10.1007/s10546-021-00645-x
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- Characterizing model uncertainties in simulated coast-to-offshore wind over the northeast U.S. using multi-platform measurements from the TCAP field campaign S. Tai et al. 10.1016/j.renene.2024.122022
- Evaluating wind speed and power forecasts for wind energy applications using an open-source and systematic validation framework J. Lee et al. 10.1016/j.renene.2022.09.111
- 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
- Flexible operation of solar-assisted carbon capture power plants considering interval-enhanced CVaR S. Liang et al. 10.1016/j.apenergy.2024.124850
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- Case study of a bore wind-ramp event from lidar measurements and HRRR simulations over ARM Southern Great Plains Y. Pichugina et al. 10.1063/5.0161905
- Model Evaluation by Measurements from Collocated Remote Sensors in Complex Terrain Y. Pichugina et al. 10.1175/WAF-D-21-0214.1
- The impact of wind direction on wind farm power output calculation considering the wake effects of wind turbines A. Narain et al. 10.1177/0309524X221122501
- Influence of air flow features on alpine wind energy potential F. Kristianti et al. 10.3389/fenrg.2024.1379863
- Modelling the impact of trapped lee waves on offshore wind farm power output S. Ollier & S. Watson 10.5194/wes-8-1179-2023
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Latest update: 20 Feb 2025
Short summary
Mountain waves can create oscillations in low-level wind speeds and subsequently in the power output of wind plants. We document such oscillations by analyzing sodar and lidar observations, nacelle wind speeds, power observations, and Weather Research and Forecasting model simulations. This research describes how mountain waves form in the Columbia River basin and affect wind energy production and their impact on operational forecasting, wind plant layout, and integration of power into the grid.
Mountain waves can create oscillations in low-level wind speeds and subsequently in the power...
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