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.
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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Cited
24 citations as recorded by crossref.
- Wind turbine wake dynamics subjected to atmospheric gravity waves: a measurement-driven large-eddy simulation study D. Feng et al.
- A perspective on lessons learned and future needs for wind energy field campaigns N. Bodini et al.
- 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.
- Evaluation of a cloudy cold-air pool in the Columbia River basin in different versions of the High-Resolution Rapid Refresh (HRRR) model B. Adler et al.
- 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.
- Evaluating wind speed and power forecasts for wind energy applications using an open-source and systematic validation framework J. Lee et al.
- Flexible operation of solar-assisted carbon capture power plants considering interval-enhanced CVaR S. Liang et al.
- Evaluation of surface wind using WRF in complex terrain: Atmospheric input data and grid spacing K. Solbakken et al.
- Observations of wind farm wake recovery at an operating wind farm R. Krishnamurthy et al.
- Case study of a bore wind-ramp event from lidar measurements and HRRR simulations over ARM Southern Great Plains Y. Pichugina et al.
- Model Evaluation by Measurements from Collocated Remote Sensors in Complex Terrain Y. Pichugina et al.
- The impact of wind direction on wind farm power output calculation considering the wake effects of wind turbines A. Narain et al.
- Influence of air flow features on alpine wind energy potential F. Kristianti et al.
- The Impact of New Technologies in the Environment N. Tsoromokos et al.
- Deploying Taller Turbines in Complex Terrain: A Hill Flow Study (HilFlowS) Perspective S. Wharton & K. Foster
- Evaluating Wind Speed and Power Forecasts for Wind Energy Applications Using an Open-Source and Systematic Validation Framework J. Lee et al.
- Long-term trend of dust event duration over Northwest China Y. Wang et al.
- Evaluation of the Sensitivity of PBL and SGS Treatments in Different Flow Fields Using the WRF-LES at Perdigão E. Yılmaz et al.
- Improvement of near-surface wind speed modeling through refined aerodynamic roughness length in high-roughness surface regions: implementation and validation in the Weather Research and Forecasting (WRF) model version 4.0 J. Wang et al.
- Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain A. Wise et al.
- Life-Cycle Techno-Economic Optimization of Complex-Terrain Wind Farms X. Wang & F. Li
- Mountain wave and downslope winds impact on wind power production K. Solbakken et al.
- Impact of atmospheric turbulence on performance and loads of wind turbines: knowledge gaps and research challenges B. Kosović et al.
- Modelling the impact of trapped lee waves on offshore wind farm power output S. Ollier & S. Watson
24 citations as recorded by crossref.
- Wind turbine wake dynamics subjected to atmospheric gravity waves: a measurement-driven large-eddy simulation study D. Feng et al.
- A perspective on lessons learned and future needs for wind energy field campaigns N. Bodini et al.
- 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.
- Evaluation of a cloudy cold-air pool in the Columbia River basin in different versions of the High-Resolution Rapid Refresh (HRRR) model B. Adler et al.
- 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.
- Evaluating wind speed and power forecasts for wind energy applications using an open-source and systematic validation framework J. Lee et al.
- Flexible operation of solar-assisted carbon capture power plants considering interval-enhanced CVaR S. Liang et al.
- Evaluation of surface wind using WRF in complex terrain: Atmospheric input data and grid spacing K. Solbakken et al.
- Observations of wind farm wake recovery at an operating wind farm R. Krishnamurthy et al.
- Case study of a bore wind-ramp event from lidar measurements and HRRR simulations over ARM Southern Great Plains Y. Pichugina et al.
- Model Evaluation by Measurements from Collocated Remote Sensors in Complex Terrain Y. Pichugina et al.
- The impact of wind direction on wind farm power output calculation considering the wake effects of wind turbines A. Narain et al.
- Influence of air flow features on alpine wind energy potential F. Kristianti et al.
- The Impact of New Technologies in the Environment N. Tsoromokos et al.
- Deploying Taller Turbines in Complex Terrain: A Hill Flow Study (HilFlowS) Perspective S. Wharton & K. Foster
- Evaluating Wind Speed and Power Forecasts for Wind Energy Applications Using an Open-Source and Systematic Validation Framework J. Lee et al.
- Long-term trend of dust event duration over Northwest China Y. Wang et al.
- Evaluation of the Sensitivity of PBL and SGS Treatments in Different Flow Fields Using the WRF-LES at Perdigão E. Yılmaz et al.
- Improvement of near-surface wind speed modeling through refined aerodynamic roughness length in high-roughness surface regions: implementation and validation in the Weather Research and Forecasting (WRF) model version 4.0 J. Wang et al.
- Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain A. Wise et al.
- Life-Cycle Techno-Economic Optimization of Complex-Terrain Wind Farms X. Wang & F. Li
- Mountain wave and downslope winds impact on wind power production K. Solbakken et al.
- Impact of atmospheric turbulence on performance and loads of wind turbines: knowledge gaps and research challenges B. Kosović et al.
- Modelling the impact of trapped lee waves on offshore wind farm power output S. Ollier & S. Watson
Saved (final revised paper)
Latest update: 26 May 2026
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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