Articles | Volume 10, issue 3
https://doi.org/10.5194/wes-10-597-2025
https://doi.org/10.5194/wes-10-597-2025
Research article
 | 
21 Mar 2025
Research article |  | 21 Mar 2025

Convergence and efficiency of global bases using proper orthogonal decomposition for capturing wind turbine wake aerodynamics

Juan Felipe Céspedes Moreno, Juan Pablo Murcia León, and Søren Juhl Andersen

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Cited articles

Aagaard Madsen, H., Bak, C., Schmidt Paulsen, U., Gaunaa, M., Fuglsang, P., Romblad, J., Olesen, N., Enevoldsen, P., Laursen, J., and Jensen, L.: The DAN-AERO MW Experiments: Final report, Danmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi, Forskningscenter Risø, Risoe-R No 1726(EN) in Denmark, 2010. 
Andersen, S. J. and Murcia Leon, J. P.: Predictive and stochastic reduced-order modeling of wind turbine wake dynamics, Wind Energ. Sci., 7, 2117–2133, https://doi.org/10.5194/wes-7-2117-2022, 2022.  
Andersen, S. J. and Murcia Leon, J. P.: Stochastic wind farm flow generation using a reduced order model of LES, J. Phys. Conf. Ser. 2505, 012050, https://doi.org/10.1088/1742-6596/2505/1/012050, 2023. 
Andersen, S., Sørensen, J., and Mikkelsen, R.: Reduced order model of the inherent turbulence of wind turbine wakes inside an infinitely long row of turbines, J. Phys. Conf. Ser., 555, 012005, https://doi.org/10.1088/1742-6596/555/1/012005, 2014. 
Andersen, S., Witha, B., Breton, S. P., Sørensen, J., Mikkelsen, R., and Ivanell, S.: Quantifying variability of large eddy simulations of very large wind farms, J. Phys. Conf. Ser., 625, 012027, https://doi.org/10.1088/1742-6596/625/1/012027, 2015. 
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Short summary
Using a global base in a proper orthogonal decomposition provides a common base for analyzing flows, such as wind turbine wakes, across an entire parameter space. This can be used to compare flows with different conditions using the same physical interpretation. This work shows the convergence of the global base, its small error compared to the truncation error in the flow reconstruction, and the insensitivity to which datasets are included for generating the global base.
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