Local wind speed estimation, with application to wake impingement detection
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DOI: 10.1016/j.renene.2017.09.044
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- Fleming, Paul A. & Gebraad, Pieter M.O. & Lee, Sang & van Wingerden, Jan-Willem & Johnson, Kathryn & Churchfield, Matt & Michalakes, John & Spalart, Philippe & Moriarty, Patrick, 2014. "Evaluating techniques for redirecting turbine wakes using SOWFA," Renewable Energy, Elsevier, vol. 70(C), pages 211-218.
- Bottasso, C.L. & Riboldi, C.E.D., 2015. "Validation of a wind misalignment observer using field test data," Renewable Energy, Elsevier, vol. 74(C), pages 298-306.
- Bottasso, C.L. & Riboldi, C.E.D., 2014. "Estimation of wind misalignment and vertical shear from blade loads," Renewable Energy, Elsevier, vol. 62(C), pages 293-302.
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- Lio, Wai Hou & Larsen, Gunner Chr. & Thorsen, Gunhild R., 2021. "Dynamic wake tracking using a cost-effective LiDAR and Kalman filtering: Design, simulation and full-scale validation," Renewable Energy, Elsevier, vol. 172(C), pages 1073-1086.
- Kim, Kwang-Ho & Bertelè, Marta & Bottasso, Carlo L., 2023. "Wind inflow observation from load harmonics via neural networks: A simulation and field study," Renewable Energy, Elsevier, vol. 204(C), pages 300-312.
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Keywords
Rotor-effective wind speed; Wind speed estimation; Wakes; Wake detection; Wind farm control;All these keywords.
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