Volume 10, issue 4

Volume 10, issue 4

04 Apr 2025
Numerical investigation of regenerative wind farms featuring enhanced vertical energy entrainment
YuanTso Li, Wei Yu, Andrea Sciacchitano, and Carlos Ferreira
Wind Energ. Sci., 10, 631–659, https://doi.org/10.5194/wes-10-631-2025,https://doi.org/10.5194/wes-10-631-2025, 2025
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07 Apr 2025
Flight guidance concept for the launching and landing phase of a flying wing used in an airborne wind energy system
Dominik Felix Duda, Hendrik Fuest, Tobias Islam, and Dieter Moormann
Wind Energ. Sci., 10, 661–678, https://doi.org/10.5194/wes-10-661-2025,https://doi.org/10.5194/wes-10-661-2025, 2025
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11 Apr 2025
On the influence of cross-sectional deformations on the aerodynamic performance of wind turbine rotor blades
Julia Gebauer, Felix Prigge, Dominik Ahrens, Lars Wein, and Claudio Balzani
Wind Energ. Sci., 10, 679–694, https://doi.org/10.5194/wes-10-679-2025,https://doi.org/10.5194/wes-10-679-2025, 2025
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14 Apr 2025
System design and scaling trends in airborne wind energy demonstrated for a ground-generation concept
Rishikesh Joshi, Dominic von Terzi, and Roland Schmehl
Wind Energ. Sci., 10, 695–718, https://doi.org/10.5194/wes-10-695-2025,https://doi.org/10.5194/wes-10-695-2025, 2025
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15 Apr 2025
Spatial development of planar and axisymmetric wakes of porous objects under a pressure gradient: a wind tunnel study
Wessel van der Deijl, Martín Obligado, Stéphane Barre, and Christophe Sicot
Wind Energ. Sci., 10, 719–732, https://doi.org/10.5194/wes-10-719-2025,https://doi.org/10.5194/wes-10-719-2025, 2025
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22 Apr 2025
Tall wind profile validation of ERA5, NORA3, and NEWA datasets using lidar observations
Etienne Cheynet, Jan Markus Diezel, Hilde Haakenstad, Øyvind Breivik, Alfredo Peña, and Joachim Reuder
Wind Energ. Sci., 10, 733–754, https://doi.org/10.5194/wes-10-733-2025,https://doi.org/10.5194/wes-10-733-2025, 2025
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28 Apr 2025
Comparison of wind farm control strategies under realistic offshore wind conditions: turbine quantities of interest
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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28 Apr 2025
Modular deep learning approach for wind farm power forecasting and wake loss prediction
Stijn Ally, Timothy Verstraeten, Pieter-Jan Daems, Ann Nowé, and Jan Helsen
Wind Energ. Sci., 10, 779–812, https://doi.org/10.5194/wes-10-779-2025,https://doi.org/10.5194/wes-10-779-2025, 2025
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