Alternative operational strategies for wind turbines in cold climates
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DOI: 10.1016/j.renene.2019.08.023
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Cited by:
- Hacıefendioğlu, Kemal & Başağa, Hasan Basri & Yavuz, Zafer & Karimi, Mohammad Tordi, 2022. "Intelligent ice detection on wind turbine blades using semantic segmentation and class activation map approaches based on deep learning method," Renewable Energy, Elsevier, vol. 182(C), pages 1-16.
- Gao, Linyue & Tao, Tao & Liu, Yongqian & Hu, Hui, 2021. "A field study of ice accretion and its effects on the power production of utility-scale wind turbines," Renewable Energy, Elsevier, vol. 167(C), pages 917-928.
- Stoyanov, D.B. & Nixon, J.D. & Sarlak, H., 2021. "Analysis of derating and anti-icing strategies for wind turbines in cold climates," Applied Energy, Elsevier, vol. 288(C).
- Yong Ma & Shan Ai & Lele Yang & Aiming Zhang & Sen Liu & Binghao Zhou, 2020. "Hydrodynamic Performance of a Pitching Float Wave Energy Converter," Energies, MDPI, vol. 13(7), pages 1-27, April.
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Keywords
Ice accretion; Wind power; Wind energy; Tip-speed ratio (TSR); Aerodynamics; Icing events;All these keywords.
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