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Blade loading performance of a floating wind turbine in wave basin model tests

机译:浮式风力涡轮机在波盆模型测试中的叶片载荷性能

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摘要

In this paper, we propose a blade loading sensing system for model tests of floating wind turbines (FWTs) in the wave basin. The sensing system is based on Fiber Bragg Grating (FBG) sensors and a Fiber Optical Rotary Joint (FORJ). Systematical model tests are conducted for the novel SJTU-S4 FWT in the wave basin to reveal the characteristics of FWT blade loads under different environmental conditions. Results show that the developed FBG-FORJ system performs well to capture the FWT blade loads while not smearing other FWT dynamics. The FWT blade loading is determined by gravity, centrifugal force, aerodynamic loads, as well as wave and current excitations. The driving wind takes the lead in the FWT blade loads. An increased driving wind corresponds to increased blade loads in magnitude and fluctuation, as well as increased nP (n times per revolution) harmonics. The incident wave generates considerable responses at the wave frequency and introduces more loading fluctuations. The current tends to eliminate the floater inclination generated by the driving wind and subsequently mitigates the unsteady blade loading, despite the increased floater sway and roll fluctuations. This work extends the knowledge of FWT aerodynamics and helps to investigate advanced FWT control strategies.
机译:在本文中,我们提出了一种叶片载荷感测系统,用于波浪盆中的浮动风力涡轮机(FWT)的模型测试。传感系统基于光纤布拉格光栅(FBG)传感器和光纤旋转接头(FORJ)。在波盆地对新型SJTU-S4 FWT进行了系统模型测试,以揭示不同环境条件下FWT叶片载荷的特性。结果表明,开发的FBG-FORJ系统在捕获FWT叶片载荷方面表现良好,而不会拖累其他FWT动态。 FWT叶片的载荷由重力,离心力,空气动力学载荷以及波浪和电流激励确定。驱动风在FWT叶片负载中起主导作用。驱动风的增加对应于叶片负载的大小和波动增加,以及nP(每转n次)谐波增加。入射波在波频率处产生相当大的响应,并引入更多的负载波动。尽管漂浮物摆动和侧倾波动增加,但电流趋向于消除由驱动风产生的漂浮物倾斜,并随后减轻了叶片的不稳定载荷。这项工作扩展了FWT空气动力学的知识,并有助于研究先进的FWT控制策略。

著录项

  • 来源
    《Ocean Engineering》 |2020年第1期|107061.1-107061.12|共12页
  • 作者

  • 作者单位

    Shanghai Jiao Tong Univ State Key Lab Mech Syst & Vibrat Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ State Key Lab Ocean Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ State Key Lab Ocean Engn Shanghai 200240 Peoples R China|SJTU Yazhou Bay Inst Deepsea Technol Sanya 572000 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Floating wind turbine; Blade loads; Model test; Fiber bragg grating; Individual blade pitch;

    机译:浮动式风力发电机;叶片载荷;模型测试;光纤布拉格光栅单个桨距;

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