Articles | Volume 11, issue 3
https://doi.org/10.5194/wes-11-795-2026
© 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-11-795-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Mar 2026
Research article |
| 10 Mar 2026
| 10 Mar 2026
How accurately do engineering methods capture floating wind turbine performance and wake? A critical perspective using multi-fidelity simulations
Stefano Cioni
Department of Industrial Engineering, Università degli Studi di Firenze, Firenze, Italy
Francesco Papi
Department of Industrial Engineering, Università degli Studi di Firenze, Firenze, Italy
Pier Francesco Melani
Department of Industrial Engineering, Università degli Studi di Firenze, Firenze, Italy
Alessandro Fontanella
Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy
Agnese Firpo
Department of Energy, Politecnico di Milano, Milano, Italy
Andrea Giuseppe Sanvito
Department of Energy, Politecnico di Milano, Milano, Italy
Giacomo Persico
Department of Energy, Politecnico di Milano, Milano, Italy
Vincenzo Dossena
Department of Energy, Politecnico di Milano, Milano, Italy
Sara Muggiasca
Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy
Marco Belloli
Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy
Alessandro Bianchini
CORRESPONDING AUTHOR
Department of Industrial Engineering, Università degli Studi di Firenze, Firenze, Italy
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Paul Veers, Katherine Dykes, Sukanta Basu, Alessandro Bianchini, Andrew Clifton, Peter Green, Hannele Holttinen, Lena Kitzing, Branko Kosovic, Julie K. Lundquist, Johan Meyers, Mark O'Malley, William J. Shaw, and Bethany Straw
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Alessandro Bianchini, Galih Bangga, Ian Baring-Gould, Alessandro Croce, José Ignacio Cruz, Rick Damiani, Gareth Erfort, Carlos Simao Ferreira, David Infield, Christian Navid Nayeri, George Pechlivanoglou, Mark Runacres, Gerard Schepers, Brent Summerville, David Wood, and Alice Orrell
Wind Energ. Sci., 7, 2003–2037, https://doi.org/10.5194/wes-7-2003-2022, https://doi.org/10.5194/wes-7-2003-2022, 2022
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Alessandro Fontanella, Alan Facchinetti, Simone Di Carlo, and Marco Belloli
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Jörg Alber, Marinos Manolesos, Guido Weinzierl-Dlugosch, Johannes Fischer, Alexander Schönmeier, Christian Navid Nayeri, Christian Oliver Paschereit, Joachim Twele, Jens Fortmann, Pier Francesco Melani, and Alessandro Bianchini
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Alessandro Fontanella, Ilmas Bayati, Robert Mikkelsen, Marco Belloli, and Alberto Zasso
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Alessandro Fontanella, Mees Al, Jan-Willem van Wingerden, and Marco Belloli
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Floating wind is a key technology to harvest the abundant wind energy resource of deep waters. This research introduces a new way of controlling the wind turbine to better deal with the action of waves. The turbine is made aware of the incoming waves, and the information is exploited to enhance power production.
Cited articles
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Cabezon, D., Migoya, E., and Crespo, A.: Comparison of turbulence models for the computational fluid dynamics simulation of wind turbine wakes in the atmospheric boundary layer, Wind Energy, 14, 909–921, 2011.
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Short summary
A multi-fidelity approach is leveraged to investigate the capabilities of engineering models to capture the wake dynamics of a wind turbine model under imposed motion. In contrast to previous studies, many more different operating conditions have been investigated, including surge, pitch, yaw, and wind–wave misalignment cases; moreover, numerical methods are here consistently applied to the same test cases, which are part of the first experimental round of the NETTUNO project.
A multi-fidelity approach is leveraged to investigate the capabilities of engineering models to...
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