Identification of equivalent wind and wave loads for monopile-supported offshore wind turbines in operating condition
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DOI: 10.1016/j.renene.2024.121525
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- Rezaei, Mohammad M. & Behzad, Mehdi & Haddadpour, Hassan & Moradi, Hamed, 2015. "Development of a reduced order model for nonlinear analysis of the wind turbine blade dynamics," Renewable Energy, Elsevier, vol. 76(C), pages 264-282.
- Chen, Lingte & Yang, Jin & Lou, Chengwei, 2024. "Characterizing ramp events in floating offshore wind power through a fully coupled electrical-mechanical mathematical model," Renewable Energy, Elsevier, vol. 221(C).
- Ko, Yung-Yen, 2020. "A simplified structural model for monopile-supported offshore wind turbines with tapered towers," Renewable Energy, Elsevier, vol. 156(C), pages 777-790.
- Zhao, Xiang & Dao, My Ha & Le, Quang Tuyen, 2023. "Digital twining of an offshore wind turbine on a monopile using reduced-order modelling approach," Renewable Energy, Elsevier, vol. 206(C), pages 531-551.
- Xiao, Shaohui & Lin, Kun & Liu, Hongjun & Zhou, Annan, 2021. "Performance analysis of monopile-supported wind turbines subjected to wind and operation loads," Renewable Energy, Elsevier, vol. 179(C), pages 842-858.
- Han, Qinkai & Hao, Zhuolin & Hu, Tao & Chu, Fulei, 2018. "Non-parametric models for joint probabilistic distributions of wind speed and direction data," Renewable Energy, Elsevier, vol. 126(C), pages 1032-1042.
- Qin, Mengfei & Shi, Wei & Chai, Wei & Fu, Xing & Li, Lin & Li, Xin, 2023. "Extreme structural response prediction and fatigue damage evaluation for large-scale monopile offshore wind turbines subject to typhoon conditions," Renewable Energy, Elsevier, vol. 208(C), pages 450-464.
- Moynihan, Bridget & Mehrjoo, Azin & Moaveni, Babak & McAdam, Ross & Rüdinger, Finn & Hines, Eric, 2023. "System identification and finite element model updating of a 6 MW offshore wind turbine using vibrational response measurements," Renewable Energy, Elsevier, vol. 219(P1).
- Haselsteiner, Andreas F. & Thoben, Klaus-Dieter, 2020. "Predicting wave heights for marine design by prioritizing extreme events in a global model," Renewable Energy, Elsevier, vol. 156(C), pages 1146-1157.
- Zuo, Haoran & Bi, Kaiming & Hao, Hong & Xin, Yu & Li, Jun & Li, Chao, 2020. "Fragility analyses of offshore wind turbines subjected to aerodynamic and sea wave loadings," Renewable Energy, Elsevier, vol. 160(C), pages 1269-1282.
- Lin, Zi & Liu, Xiaolei, 2020. "Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network," Energy, Elsevier, vol. 201(C).
- Moynihan, Bridget & Moaveni, Babak & Liberatore, Sauro & Hines, Eric, 2022. "Estimation of blade forces in wind turbines using blade root strain measurements with OpenFAST verification," Renewable Energy, Elsevier, vol. 184(C), pages 662-676.
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Keywords
Offshore wind turbine; Equivalent load identification; Augmented state-space model; Kalman filter; Harmonic interference;All these keywords.
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