PERFORMANCE SPECIFICATIONS FOR REAL-TIME HYBRID TESTING OF 1:50-SCALE FLOATING WIND TURBINE MODELS

被引:0
|
作者
Hall, Matthew [1 ]
Moreno, Javier [1 ]
Thiagarajan, Krish [1 ]
机构
[1] Univ Maine, Dept Mech Engn, Orono, ME 04469 USA
关键词
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents performance requirements for a real-time hybrid testing system to be suitable for scale-model floating wind turbine experiments. In the wave basin, real-time hybrid testing could be used to replace the model wind turbine with an actuation mechanism, driven by a wind turbine simulation running in parallel with, and reacting to, the experiment. The actuation mechanism, attached to the floating platform, would provide the full range of forces normally provided by the model wind turbine. This arrangement could resolve scaling incompatibilities that currently challenge scale-model floating wind turbine experiments. In this paper, published experimental results and a collection of full-scale simulations are used to determine what performance specifications such a system would need to meet. First, an analysis of full-scale numerical simulations and published 1:50-scale experimental results is presented. This analysis indicates the required operating envelope of the actuation system in terms of displacements, velocities, accelerations, and forces. Next, a sensitivity study using a customization of the floating wind turbine simulator FAST is described. Errors in the coupling between the wind turbine and the floating platform are used to represent the various inaccuracies and delays that could be introduced by a real-time hybrid testing system. Results of this sensitivity study indicate the requirements in terms of motion-tracking accuracy, force actuation accuracy, and system latency for maintaining an acceptable level of accuracy in 1:50-scale floating wind turbine experiments using real-time hybrid testing.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Performance verification of GPU-based framework for real-time hybrid testing
    Dong X.-H.
    Tang Z.-Y.
    Li Z.-B.
    Du X.-L.
    Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2022, 35 (01): : 64 - 71
  • [42] Performance degradation model and prediction method of real-time remaining life for wind turbine bearings
    Hu Y.
    Li H.
    Liao X.
    Song E.
    Ouyang H.
    Liu Z.
    1643, Chinese Society for Electrical Engineering (36): : 1643 - 1649
  • [43] At Sea Experiment of a Hybrid Spar for Floating Offshore Wind Turbine Using 1/10-Scale Model
    Utsunomiya, Tomoaki
    Matsukuma, Hidekazu
    Minoura, Shintaro
    Ko, Kiyohiko
    Hamamura, Hideki
    Kobayashi, Osamu
    Sato, Iku
    Nomoto, Yoshihisa
    Yasui, Kentaro
    JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME, 2013, 135 (03): : 34503-1 - 34503-8
  • [44] Simulation of large-scale numerical substructure in real-time dynamic hybrid testing
    Zhu Fei
    Wang Jinting
    Jin Feng
    Zhou Mengxia
    Gui Yao
    EarthquakeEngineeringandEngineeringVibration, 2014, 13 (04) : 599 - 609
  • [45] Simulation of large-scale numerical substructure in real-time dynamic hybrid testing
    Zhu Fei
    Wang Jinting
    Jin Feng
    Zhou Mengxia
    Gui Yao
    EARTHQUAKE ENGINEERING AND ENGINEERING VIBRATION, 2014, 13 (04) : 599 - 609
  • [46] Real-Time Hybrid Model Testing of Moored Floating Structures Using Nonlinear Finite Element Simulations
    Vilsen, Stefan A.
    Sauder, Thomas
    Sorensen, Asgeir J.
    DYNAMICS OF COUPLED STRUCTURES, VOL 4, 2017, : 79 - 92
  • [47] Simulation of large-scale numerical substructure in real-time dynamic hybrid testing
    Fei Zhu
    Jinting Wang
    Feng Jin
    Mengxia Zhou
    Yao Gui
    Earthquake Engineering and Engineering Vibration, 2014, 13 : 599 - 609
  • [48] Sensitivity Analysis of Limited Actuation for Real-time Hybrid Model Testing of 5MW Bottom-fixed Offshore Wind Turbine
    Karimirad, Madjid
    Bachynski, Erin E.
    14TH DEEP SEA OFFSHORE WIND R&D CONFERENCE, EERA DEEPWIND'2017, 2017, 137 : 14 - 25
  • [49] Real-time relocation of floating offshore wind turbine platforms for wind farm efficiency maximization: An assessment of feasibility and steady-state potential
    Kheirabadi, Ali C.
    Nagamune, Ryozo
    OCEAN ENGINEERING, 2020, 208 (208)
  • [50] Real-Time testing of novel robust digital pitch controller for digital hydraulic pitch system in wind turbine
    Narayanan, Valayapathy Lakshmi
    Ramakrishnan, Ramachandran
    Rengaswamy, Raghunathan
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2022, 44 (02) : 3477 - 3496