Indirect load measurement method and experimental verification of floating offshore wind turbine

被引:2
|
作者
Feng, Xiangheng [1 ,3 ]
Lin, Yonggang [1 ]
Gu, Yajing [2 ]
Zhao, Xingchen [1 ]
Liu, Hongwei [1 ]
Sun, Yong [3 ,4 ]
机构
[1] Zhejiang Univ, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China
[2] Zhejiang Univ, Ocean Acad, Zhoushan 316021, Peoples R China
[3] Windey Energy Technol Grp Co Ltd, Hangzhou 310012, Peoples R China
[4] Zhejiang Key Lab Wind Power Generat Technol, Hangzhou 310012, Peoples R China
基金
中国国家自然科学基金;
关键词
Floating offshore wind turbine; Load measurement; Load identification technique; Hybrid scaled model test; MODEL TEST DATA; NUMERICAL-MODEL; THRUST; MOTION; SURGE; PERFORMANCE; VALIDATION;
D O I
10.1016/j.oceaneng.2024.117734
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Accurate load data of wind turbines operating in real sea conditions is crucial for real -time control and offline structural optimization. However, the sheer size of these structures and the complexities of their working environments challenge the direct load measurement through strain gauges and fiber Bragg grating sensors. To address these problems, this paper introduces an indirect measurement method to acquire the thrust and pitch moment loads of the turbine. First, load identification techniques based on the frequency domain separation and aerodynamic damping were applied to decouple the wind and wave loads and establish the inverse load calculation model. Then, numerical simulations were carried out to calibrate and verify this model under a range of steady and unsteady conditions. Preliminary conclusions indicated the strong viability of this method, revealing a mean relative error of 2.32% for thrust and a corresponding equivalent high-frequency error of 24.66% for pitch moment under the designed operating conditions. Finally, a hybrid scaled model was constructed, combining a virtual wind turbine with a physical platform. Experimental results in the wave basin demonstrated the effectiveness of this indirect method in measuring thrust loads of wind turbines, achieving a mean relative error of less than 10%.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Experimental Modelling of a Floating Offshore Wind Turbine
    Lindquist, Christian
    Nielsen, Patrick
    Pedersen, Rikke
    Soltani, Mohsen
    2018 23RD INTERNATIONAL CONFERENCE ON METHODS & MODELS IN AUTOMATION & ROBOTICS (MMAR), 2018, : 327 - 332
  • [2] Experimental Verification of the Hydro-elastic Model of A Scaled Floating Offshore Wind Turbine
    Mortensen, Signe M.
    Laugesen, Kasper
    Jensen, Jesper K.
    Jessen, Kasper
    Soltani, Mohsen
    2018 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA), 2018, : 1623 - 1630
  • [3] Wake effect on floating offshore wind turbine fatigue load
    Kang, Yujoo
    Lee, Sang
    PHYSICS OF FLUIDS, 2024, 36 (12)
  • [4] Experimental and numerical analysis of a TLP floating offshore wind turbine
    Oguz, Elif
    Clelland, David
    Day, Alexander H.
    Incecik, Atilla
    Amate Lopez, Juan
    Sanchez, Gustavo
    Gonzalez Almeria, Gonzalo
    OCEAN ENGINEERING, 2018, 147 : 591 - 605
  • [5] SNAP LOAD CRITERIA FOR MOORING LINES OF A FLOATING OFFSHORE WIND TURBINE
    Hsu, Wei-Ting
    Thiagarajan, Krish P.
    Manuel, Lance
    PROCEEDINGS OF THE ASME 1ST INTERNATIONAL OFFSHORE WIND TECHNICAL CONFERENCE, 2018, 2018,
  • [6] STUDY ON OPTIMIZATION METHOD OF OFFSHORE FLOATING WIND TURBINE TOWERS
    Zhang C.
    Zhang B.
    Zhang K.
    Wang Q.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2024, 45 (06): : 652 - 660
  • [7] On the modelling of a floating offshore wind turbine
    Henderson, AR
    Patel, MH
    WIND ENERGY, 2003, 6 (01) : 53 - 86
  • [8] On the Controllability of a Floating Offshore Wind Turbine
    Abbas, Nikhar J.
    Pao, Lucy
    NAWEA WINDTECH 2019, 2020, 1452
  • [9] Study Method of Pitch-Angle Control on Load and the Performance of a Floating Offshore Wind Turbine by Experiments
    Sang, Le Quang
    Li, Qing'an
    Maeda, Takao
    Kamada, Yasunari
    Huu, Duc Nguyen
    Tran, Quynh T.
    Sanseverino, Eleonora Riva
    ENERGIES, 2023, 16 (06)
  • [10] Fatigue Load Minimization for a Position-Controlled Floating Offshore Wind Turbine
    Saunders, Brendan
    Nagamune, Ryozo
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 11 (12)