Articles | Volume 7, issue 6
https://doi.org/10.5194/wes-7-2407-2022
© 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-7-2407-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Dec 2022
Research article |
| 09 Dec 2022
| 09 Dec 2022
The Jensen wind farm parameterization
Yulong Ma
Center for Research in Wind (CReW), University of Delaware, Newark, DE 19716, USA
Center for Research in Wind (CReW), University of Delaware, Newark, DE 19716, USA
Ahmadreza Vasel-Be-Hagh
Department of Mechanical Engineering, Tennessee Technological University, Cookeville, TN 38505, USA
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Cited
21 citations as recorded by crossref.
- Simplified modeling of floating offshore wind farms with shared mooring line configurations Q. Pan et al. https://doi.org/10.1016/j.oceaneng.2025.121018
- Numerical Modeling and Application of Horizontal-Axis Wind Turbine Arrays in Large Wind Farms L. Young et al. https://doi.org/10.3390/wind3040026
- Gradient Descent Algorithm with Greedy Repositioning Using Power Deficit Aggregation of Wakes to Accelerate the Offshore Wind Farm Layout Optimization Problem in Irregular Concession Areas A. Gonzalez-Rodriguez et al. https://doi.org/10.3390/app142311331
- Comparison of Atmospheric Stability at Wind Observation Tower Height and Hub/Rotor Height Using 200 m Meteorological Observation Tower Data R. Shizui et al. https://doi.org/10.1002/we.70076
- An extensive framework for preparing dual-Doppler radar measurements for wake model validation: Application to the AWAKEN large-scale field experiment Q. Zheng et al. https://doi.org/10.1063/5.0331761
- A numerical case study of the impact of wind farm wakes on ocean surface waves in the Baltic Sea G. Mastrogiorgos et al. https://doi.org/10.1088/1742-6596/3016/1/012041
- Multi-model approach for wind resource assessment B. Sengers et al. https://doi.org/10.1088/1742-6596/2767/9/092024
- Evaluation of wake superposition methods for wind-farm flow and power prediction B. Du et al. https://doi.org/10.1088/1742-6596/3016/1/012036
- Advances and Challenges in Analytical Wake Modelling for Offshore Wind Farm Layout Optimization H. Liu et al. https://doi.org/10.3390/en19040982
- Research progress on the impact of wind farms on climate and ecology P. Zhang et al. https://doi.org/10.1016/j.rcar.2026.06.002
- Numerical Simulation Study of Wind Field in Central and Western Hainan Province Based on Different Parametric Schemes Y. Zhang et al. https://doi.org/10.1088/1742-6596/2679/1/012057
- Slow wake recovery and low turbulence behind wind farms parameterized in mesoscale simulations W. Radünz et al. https://doi.org/10.5194/wes-11-2723-2026
- A parameterization scheme for the floating wind farm in a coupled atmosphere–wave model (COAWST v3.7) S. Deng et al. https://doi.org/10.5194/gmd-17-4891-2024
- A Meso-Microscale Coupled Wind Farm Parameterization B. Du et al. https://doi.org/10.1007/s10546-025-00928-7
- An analytical formulation for turbulence kinetic energy added by wind turbines based on large-eddy simulation A. Khanjari et al. https://doi.org/10.5194/wes-10-887-2025
- Impact of grid resolution in subgrid-scale wind farm parametrizations of mesoscale models and the need for thrust-coefficient calibration O. García-Santiago et al. https://doi.org/10.1088/1742-6596/3224/3/032137
- Study on the influence of static terrain refinement correction on flow field simulation of Ulanqab wind power bases F. Xue et al. https://doi.org/10.1016/j.renene.2026.125990
- Gaussian-based multicolumn spatial distribution method for wind farm parameterizations B. Du et al. https://doi.org/10.1103/5lsj-m746
- Impact of offshore wind farms on a tropical depression through the amplification effect by the downstream mountainous terrain S. Deng et al. https://doi.org/10.1016/j.atmosres.2023.107047
- A North Sea in situ evaluation of the Fitch wind farm parameterization within the Mellor–Yamada–Nakanishi–Niino and 3D planetary boundary layer schemes N. Agarwal et al. https://doi.org/10.5194/wes-11-2369-2026
- Construction of a comprehensive evaluation framework and topology optimization for far-offshore wind-to-hydrogen/ammonia systems M. Yang et al. https://doi.org/10.1016/j.ijhydene.2026.156635
21 citations as recorded by crossref.
- Simplified modeling of floating offshore wind farms with shared mooring line configurations Q. Pan et al. https://doi.org/10.1016/j.oceaneng.2025.121018
- Numerical Modeling and Application of Horizontal-Axis Wind Turbine Arrays in Large Wind Farms L. Young et al. https://doi.org/10.3390/wind3040026
- Gradient Descent Algorithm with Greedy Repositioning Using Power Deficit Aggregation of Wakes to Accelerate the Offshore Wind Farm Layout Optimization Problem in Irregular Concession Areas A. Gonzalez-Rodriguez et al. https://doi.org/10.3390/app142311331
- Comparison of Atmospheric Stability at Wind Observation Tower Height and Hub/Rotor Height Using 200 m Meteorological Observation Tower Data R. Shizui et al. https://doi.org/10.1002/we.70076
- An extensive framework for preparing dual-Doppler radar measurements for wake model validation: Application to the AWAKEN large-scale field experiment Q. Zheng et al. https://doi.org/10.1063/5.0331761
- A numerical case study of the impact of wind farm wakes on ocean surface waves in the Baltic Sea G. Mastrogiorgos et al. https://doi.org/10.1088/1742-6596/3016/1/012041
- Multi-model approach for wind resource assessment B. Sengers et al. https://doi.org/10.1088/1742-6596/2767/9/092024
- Evaluation of wake superposition methods for wind-farm flow and power prediction B. Du et al. https://doi.org/10.1088/1742-6596/3016/1/012036
- Advances and Challenges in Analytical Wake Modelling for Offshore Wind Farm Layout Optimization H. Liu et al. https://doi.org/10.3390/en19040982
- Research progress on the impact of wind farms on climate and ecology P. Zhang et al. https://doi.org/10.1016/j.rcar.2026.06.002
- Numerical Simulation Study of Wind Field in Central and Western Hainan Province Based on Different Parametric Schemes Y. Zhang et al. https://doi.org/10.1088/1742-6596/2679/1/012057
- Slow wake recovery and low turbulence behind wind farms parameterized in mesoscale simulations W. Radünz et al. https://doi.org/10.5194/wes-11-2723-2026
- A parameterization scheme for the floating wind farm in a coupled atmosphere–wave model (COAWST v3.7) S. Deng et al. https://doi.org/10.5194/gmd-17-4891-2024
- A Meso-Microscale Coupled Wind Farm Parameterization B. Du et al. https://doi.org/10.1007/s10546-025-00928-7
- An analytical formulation for turbulence kinetic energy added by wind turbines based on large-eddy simulation A. Khanjari et al. https://doi.org/10.5194/wes-10-887-2025
- Impact of grid resolution in subgrid-scale wind farm parametrizations of mesoscale models and the need for thrust-coefficient calibration O. García-Santiago et al. https://doi.org/10.1088/1742-6596/3224/3/032137
- Study on the influence of static terrain refinement correction on flow field simulation of Ulanqab wind power bases F. Xue et al. https://doi.org/10.1016/j.renene.2026.125990
- Gaussian-based multicolumn spatial distribution method for wind farm parameterizations B. Du et al. https://doi.org/10.1103/5lsj-m746
- Impact of offshore wind farms on a tropical depression through the amplification effect by the downstream mountainous terrain S. Deng et al. https://doi.org/10.1016/j.atmosres.2023.107047
- A North Sea in situ evaluation of the Fitch wind farm parameterization within the Mellor–Yamada–Nakanishi–Niino and 3D planetary boundary layer schemes N. Agarwal et al. https://doi.org/10.5194/wes-11-2369-2026
- Construction of a comprehensive evaluation framework and topology optimization for far-offshore wind-to-hydrogen/ammonia systems M. Yang et al. https://doi.org/10.1016/j.ijhydene.2026.156635
Saved (final revised paper)
Latest update: 03 Aug 2026
Short summary
Wind turbine wakes are important because they reduce the power production of wind farms and may cause unintended impacts on the weather around wind farms. Weather prediction models, like WRF and MPAS, are often used to predict both power and impacts of wind farms, but they lack an accurate treatment of wind farm wakes. We developed the Jensen wind farm parameterization, based on the existing Jensen model of an idealized wake. The Jensen parameterization is accurate and computationally efficient.
Wind turbine wakes are important because they reduce the power production of wind farms and may...
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