Articles | Volume 7, issue 5
https://doi.org/10.5194/wes-7-2085-2022
© 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-7-2085-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Oct 2022
Research article |
| 21 Oct 2022
| 21 Oct 2022
The sensitivity of the Fitch wind farm parameterization to a three-dimensional planetary boundary layer scheme
National Renewable Energy Laboratory, Golden, Colorado, USA
Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA
Timothy W. Juliano
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA
Julie K. Lundquist
National Renewable Energy Laboratory, Golden, Colorado, USA
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado, USA
David Rosencrans
National Renewable Energy Laboratory, Golden, Colorado, USA
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado, USA
Nicola Bodini
National Renewable Energy Laboratory, Golden, Colorado, USA
Mike Optis
National Renewable Energy Laboratory, Golden, Colorado, USA
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Cited
14 citations as recorded by crossref.
- Simulations suggest offshore wind farms modify low-level jets D. Quint et al. 10.5194/wes-10-117-2025
- Seasonal variability of wake impacts on US mid-Atlantic offshore wind plant power production D. Rosencrans et al. 10.5194/wes-9-555-2024
- Lessons learned in coupling atmospheric models across scales for onshore and offshore wind energy S. Haupt et al. 10.5194/wes-8-1251-2023
- Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P. Moriarty et al. 10.1063/5.0141683
- The 2023 National Offshore Wind data set (NOW-23) N. Bodini et al. 10.5194/essd-16-1965-2024
- Evaluation of wind farm parameterizations in the WRF model under different atmospheric stability conditions with high-resolution wake simulations O. García-Santiago et al. 10.5194/wes-9-963-2024
- Evaluating mesoscale model predictions of diurnal speedup events in the Altamont Pass Wind Resource Area of California R. Arthur et al. 10.5194/wes-10-1187-2025
- Power Production, Inter- and Intra-Array Wake Losses from the U.S. East Coast Offshore Wind Energy Lease Areas S. Pryor & R. Barthelmie 10.3390/en17051063
- Wake Effects in Lower Carbon Future Scenarios J. Lundquist et al. 10.1088/1742-6596/2767/9/092044
- A new RANS-based wind farm parameterization and inflow model for wind farm cluster modeling M. van der Laan et al. 10.5194/wes-8-819-2023
- Can we yet do a fairer and more complete validation of wind farm parametrizations in the WRF model? A. Peña et al. 10.1088/1742-6596/2505/1/012024
- Can mesoscale models capture the effect from cluster wakes offshore? M. Gomez et al. 10.1088/1742-6596/2767/6/062013
- Simulated meteorological impacts of offshore wind turbines and sensitivity to the amount of added turbulence kinetic energy D. Quint et al. 10.5194/wes-10-1269-2025
- The sensitivity of the Fitch wind farm parameterization to a three-dimensional planetary boundary layer scheme A. Rybchuk et al. 10.5194/wes-7-2085-2022
13 citations as recorded by crossref.
- Simulations suggest offshore wind farms modify low-level jets D. Quint et al. 10.5194/wes-10-117-2025
- Seasonal variability of wake impacts on US mid-Atlantic offshore wind plant power production D. Rosencrans et al. 10.5194/wes-9-555-2024
- Lessons learned in coupling atmospheric models across scales for onshore and offshore wind energy S. Haupt et al. 10.5194/wes-8-1251-2023
- Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P. Moriarty et al. 10.1063/5.0141683
- The 2023 National Offshore Wind data set (NOW-23) N. Bodini et al. 10.5194/essd-16-1965-2024
- Evaluation of wind farm parameterizations in the WRF model under different atmospheric stability conditions with high-resolution wake simulations O. García-Santiago et al. 10.5194/wes-9-963-2024
- Evaluating mesoscale model predictions of diurnal speedup events in the Altamont Pass Wind Resource Area of California R. Arthur et al. 10.5194/wes-10-1187-2025
- Power Production, Inter- and Intra-Array Wake Losses from the U.S. East Coast Offshore Wind Energy Lease Areas S. Pryor & R. Barthelmie 10.3390/en17051063
- Wake Effects in Lower Carbon Future Scenarios J. Lundquist et al. 10.1088/1742-6596/2767/9/092044
- A new RANS-based wind farm parameterization and inflow model for wind farm cluster modeling M. van der Laan et al. 10.5194/wes-8-819-2023
- Can we yet do a fairer and more complete validation of wind farm parametrizations in the WRF model? A. Peña et al. 10.1088/1742-6596/2505/1/012024
- Can mesoscale models capture the effect from cluster wakes offshore? M. Gomez et al. 10.1088/1742-6596/2767/6/062013
- Simulated meteorological impacts of offshore wind turbines and sensitivity to the amount of added turbulence kinetic energy D. Quint et al. 10.5194/wes-10-1269-2025
Latest update: 10 Aug 2025
Short summary
Numerical weather prediction models are used to predict how wind turbines will interact with the atmosphere. Here, we characterize the uncertainty associated with the choice of turbulence parameterization on modeled wakes. We find that simulated wind speed deficits in turbine wakes can be significantly sensitive to the choice of turbulence parameterization. As such, predictions of future generated power are also sensitive to turbulence parameterization choice.
Numerical weather prediction models are used to predict how wind turbines will interact with the...
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