Articles | Volume 8, issue 2
https://doi.org/10.5194/wes-8-247-2023
© Author(s) 2023. 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-8-247-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication
| 
24 Feb 2023
Brief communication |
| 24 Feb 2023
| 24 Feb 2023
Brief communication: A clarification of wake recovery mechanisms
DTU Wind Energy, Technical University of Denmark, Risø Campus, Frederiksborgvej 399, 4000 Roskilde, Denmark
Mads Baungaard
DTU Wind Energy, Technical University of Denmark, Risø Campus, Frederiksborgvej 399, 4000 Roskilde, Denmark
Mark Kelly
DTU Wind Energy, Technical University of Denmark, Risø Campus, Frederiksborgvej 399, 4000 Roskilde, Denmark
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Cited
16 citations as recorded by crossref.
- An advanced three-dimensional analytical model for wind turbine near and far wake predictions L. Tian et al. 10.1016/j.renene.2024.120035
- Evaluation of Wake Structure Induced by Helical Hydrokinetic Turbine E. Alkan et al. 10.3390/w17152203
- Revealing inflow and wake conditions of a 6 MW floating turbine N. Angelou et al. 10.5194/wes-8-1511-2023
- Wind farm wake recovery: LES and engineering models compared to wind tunnel data G. Centurelli et al. 10.1088/1742-6596/3016/1/012055
- The role of motion-excited coherent structures in improved wake recovery of a floating wind turbine T. Messmer et al. 10.1017/jfm.2025.10509
- An analytical formulation for turbulence kinetic energy added by wind turbines based on large-eddy simulation A. Khanjari et al. 10.5194/wes-10-887-2025
- Investigating Turbulent Dynamics in the Nocturnal Boundary Layer: A Large Eddy Simulation Study of the South Fork Wind Farm A. Ayouche et al. 10.1088/1742-6596/3016/1/012048
- Analytical modeling of wind-turbine wakes behind an abrupt rough-to-smooth surface roughness transition J. Zhu et al. 10.1063/5.0246699
- Discovery of a Physically Interpretable Data-Driven Wind-Turbine Wake Model K. Jigjid et al. 10.1007/s10494-025-00679-y
- Momentum deficit and wake-added turbulence kinetic energy budgets in the stratified atmospheric boundary layer K. Klemmer & M. Howland 10.1103/PhysRevFluids.9.114607
- A simple steady-state inflow model of the neutral and stable atmospheric boundary layer applied to wind turbine wake simulations M. van der Laan et al. 10.5194/wes-9-1985-2024
- Evolution of eddy viscosity in the wake of a wind turbine R. Scott et al. 10.5194/wes-8-449-2023
- Wake characteristics and scalar transport equation for energy recovery analysis under different tip speed ratio conditions Q. Tang et al. 10.1016/j.renene.2025.124409
- RANS wake surrogate: Impact of Physics Information in Neural Networks J. Schøler et al. 10.1088/1742-6596/2767/9/092033
- Leading effect for wind turbine wake models I. Neunaber et al. 10.1016/j.renene.2023.119935
- Impact of Wind Turbine Rotor Blade Bound Circulation Distribution on Wake Diffusion F. Gerhardy et al. 10.1088/1742-6596/3016/1/012040
16 citations as recorded by crossref.
- An advanced three-dimensional analytical model for wind turbine near and far wake predictions L. Tian et al. 10.1016/j.renene.2024.120035
- Evaluation of Wake Structure Induced by Helical Hydrokinetic Turbine E. Alkan et al. 10.3390/w17152203
- Revealing inflow and wake conditions of a 6 MW floating turbine N. Angelou et al. 10.5194/wes-8-1511-2023
- Wind farm wake recovery: LES and engineering models compared to wind tunnel data G. Centurelli et al. 10.1088/1742-6596/3016/1/012055
- The role of motion-excited coherent structures in improved wake recovery of a floating wind turbine T. Messmer et al. 10.1017/jfm.2025.10509
- An analytical formulation for turbulence kinetic energy added by wind turbines based on large-eddy simulation A. Khanjari et al. 10.5194/wes-10-887-2025
- Investigating Turbulent Dynamics in the Nocturnal Boundary Layer: A Large Eddy Simulation Study of the South Fork Wind Farm A. Ayouche et al. 10.1088/1742-6596/3016/1/012048
- Analytical modeling of wind-turbine wakes behind an abrupt rough-to-smooth surface roughness transition J. Zhu et al. 10.1063/5.0246699
- Discovery of a Physically Interpretable Data-Driven Wind-Turbine Wake Model K. Jigjid et al. 10.1007/s10494-025-00679-y
- Momentum deficit and wake-added turbulence kinetic energy budgets in the stratified atmospheric boundary layer K. Klemmer & M. Howland 10.1103/PhysRevFluids.9.114607
- A simple steady-state inflow model of the neutral and stable atmospheric boundary layer applied to wind turbine wake simulations M. van der Laan et al. 10.5194/wes-9-1985-2024
- Evolution of eddy viscosity in the wake of a wind turbine R. Scott et al. 10.5194/wes-8-449-2023
- Wake characteristics and scalar transport equation for energy recovery analysis under different tip speed ratio conditions Q. Tang et al. 10.1016/j.renene.2025.124409
- RANS wake surrogate: Impact of Physics Information in Neural Networks J. Schøler et al. 10.1088/1742-6596/2767/9/092033
- Leading effect for wind turbine wake models I. Neunaber et al. 10.1016/j.renene.2023.119935
- Impact of Wind Turbine Rotor Blade Bound Circulation Distribution on Wake Diffusion F. Gerhardy et al. 10.1088/1742-6596/3016/1/012040
Latest update: 08 Oct 2025
Short summary
Understanding wind turbine wake recovery is important to mitigate energy losses in wind farms. Wake recovery is often assumed or explained to be dependent on the first-order derivative of velocity. In this work we show that wind turbine wakes recover mainly due to the second-order derivative of the velocity, which transport momentum from the freestream towards the wake center. The wake recovery mechanisms and results of a high-fidelity numerical simulation are illustrated using a simple model.
Understanding wind turbine wake recovery is important to mitigate energy losses in wind farms....
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