Articles | Volume 11, issue 8
https://doi.org/10.5194/wes-11-2915-2026
© Author(s) 2026. 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-11-2915-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Power output of turbines mounted on tension-leg platforms subjected to fully developed ocean gravity waves
Oak Ridge National Laboratory, Oak Ridge TN 37831, USA
Department of Mathematics, University of Tennessee Knoxville, Knoxville TN 37920, USA
Matthew Norman
Oak Ridge National Laboratory, Oak Ridge TN 37831, USA
Stuart Slattery
Oak Ridge National Laboratory, Oak Ridge TN 37831, USA
Lawrence Cheung
Sandia National Laboratory, Livermore, CA 94550, USA
Yihan Liu
Virginia Tech, Blacksburg, VA 24061, USA
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Juan M. Restrepo, Matthew Norman, Stuart Slattery, Lawrence Cheung, and Yihan Liu
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We examine the average power output of a single and a collection of 5 MW wind turbines, mounted on a Tension-Leg Platform (TLP) under the action of fully developed ocean waves. We find that wave motions have a negligible effect on power output.
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Modeling turbine wakes is critical to maximizing wind farm energy production, but also challenging to model due to the complicated phenomena that must be accounted for, including wind shear, veer, atmospheric stratification, and overlapping wakes. Our work introduces a new, efficient method of modeling wakes which naturally captures these complex wake behaviors. We show that our wake modeling approach is as accurate as higher fidelity methods, but with much less computational cost.
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When wind reaches the first set of turbines in a wind farm, energy is extracted, reducing the energy available for downstream turbines. This study examines emerging technologies aimed at re-energizing the wind between turbines in a wind farm to improve overall power production. Optimizing these technologies depends on understanding the complex flow features of the atmosphere and the wakes behind turbines, which is accomplished using high-fidelity computer simulations and data analysis techniques.
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Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2025-208, https://doi.org/10.5194/wes-2025-208, 2025
Manuscript not accepted for further review
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We examine the average power output of a single and a collection of 5 MW wind turbines, mounted on a Tension-Leg Platform (TLP) under the action of fully developed ocean waves. We find that wave motions have a negligible effect on power output.
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This paper presents one half of a companion paper series that studies strategies to reduce negative aerodynamic interference (i.e., wake effects) between nearby wind turbines in a wind farm. The approach leverages high-fidelity flow simulations of an open-source design for a wind turbine. Complimenting the companion paper’s analysis of the power and loading effects of the wake-control strategies, this article uncovers the underlying fluid-dynamic causes for these effects.
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Mitigating turbine wakes is an important aspect to maximizing wind farm energy production but is a challenge to model. We demonstrate a new approach to modeling active wake mixing, which re-energizes turbine wake through periodic blade pitching. The new model divides the wake into separate steady, unsteady, and turbulent components and solves for each in a computationally efficient manner. Our results show that the model can reasonably predict the faster wake recovery due to mixing.
Joeri A. Frederik, Eric Simley, Kenneth A. Brown, Gopal R. Yalla, Lawrence C. Cheung, and Paul A. Fleming
Wind Energ. Sci., 10, 755–777, https://doi.org/10.5194/wes-10-755-2025, https://doi.org/10.5194/wes-10-755-2025, 2025
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In this paper, we present results from advanced computer simulations to determine the effects of applying different control strategies to a small wind farm. We show that when there is variability in wind direction over height, steering the wake of a turbine away from other turbines is the most effective strategy. When this variability is not present, actively changing the pitch angle of the blades to increase turbulence in the wake could be more effective.
Yihan Liu and Michael Chertkov
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-14, https://doi.org/10.5194/wes-2024-14, 2024
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Marco A. Giorgetta, William Sawyer, Xavier Lapillonne, Panagiotis Adamidis, Dmitry Alexeev, Valentin Clément, Remo Dietlicher, Jan Frederik Engels, Monika Esch, Henning Franke, Claudia Frauen, Walter M. Hannah, Benjamin R. Hillman, Luis Kornblueh, Philippe Marti, Matthew R. Norman, Robert Pincus, Sebastian Rast, Daniel Reinert, Reiner Schnur, Uwe Schulzweida, and Bjorn Stevens
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This work presents a first version of the ICON atmosphere model that works not only on CPUs, but also on GPUs. This GPU-enabled ICON version is benchmarked on two GPU machines and a CPU machine. While the weak scaling is very good on CPUs and GPUs, the strong scaling is poor on GPUs. But the high performance of GPU machines allowed for first simulations of a short period of the quasi-biennial oscillation at very high resolution with explicit convection and gravity wave forcing.
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Short summary
A comparison between the power generated by a 5 MW turbine mounted on a tension-leg platform and subjected to fully developed ocean wave movements, and the same platform/turbine not subjected to ocean motions shows that these wave motions have little effect on time-average power output over a large wind speed range.
A comparison between the power generated by a 5 MW turbine mounted on a tension-leg platform and...
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