Validation of the dynamic wake meander model for loads and power production in the Egmond aan Zee wind farm

被引:139
|
作者
Larsen, Torben J. [1 ]
Madsen, Helge Aa. [1 ]
Larsen, Gunner C. [1 ]
Hansen, Kurt S. [1 ]
机构
[1] Tech Univ Denmark, Wind Energy Div, DK-4000 Roskilde, Denmark
关键词
wake effects; wind turbine; loads; power; TURBINE WAKES; TURBULENCE INTENSITY;
D O I
10.1002/we.1563
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 investigates wake effects on load and power production by using the dynamic wake meander (DWM) model implemented in the aeroelastic code HAWC2. The instationary wind farm flow characteristics are modeled by treating the wind turbine wakes as passive tracers transported downstream using a meandering process driven by the low frequent cross-wind turbulence components. The model complex is validated by comparing simulated and measured loads for the Dutch Egmond aan Zee wind farm consisting of 36 Vestas V90 turbine located outside the coast of the Netherlands. Loads and production are compared for two distinct wind directionsa free wind situation from the dominating southwest and a full wake situation from northwest, where the observed turbine is operating in wake from five turbines in a row with 7D spacing. The measurements have a very high quality, allowing for detailed comparison of both fatigue and minmeanmax loads for blade root flap, tower yaw and tower bottom bending moments, respectively. Since the observed turbine is located deep inside a row of turbines, a new method on how to handle multiple wakes interaction is proposed. The agreement between measurements and simulations is excellent regarding power production in both free and wake sector, and a very good agreement is seen for the load comparisons too. This enables the conclusion that wake meandering, caused by large scale ambient turbulence, is indeed an important contribution to wake loading in wind farms. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:605 / 624
页数:20
相关论文
共 50 条
  • [1] The role of atmospheric stability/turbulence on wakes at the Egmond aan Zee offshore wind farm
    Barthelmie, R. J.
    Churchfield, M. J.
    Moriarty, P. J.
    Lundquist, J. K.
    Oxley, G. S.
    Hahn, S.
    Pryor, S. C.
    WAKE CONFERENCE 2015, 2015, 625
  • [2] Driving fatigue during installation of monopile foundations of the Egmond aan Zee offshore wind farm
    Kooistra, A.
    Oudhof, J.
    Kempers, M.
    APPLICATION OF STRESS-WAVE THEORY TO PILES: SCIENCE, TECHNOLOGY AND PRACTICE, 2008, : 145 - 151
  • [3] Validation of the Dynamic Wake Meander model with focus on tower loads
    Larsen, T. J.
    Larsen, G. C.
    Pedersen, M. M.
    Enevoldsen, K.
    Madsen, H. A.
    WAKE CONFERENCE 2017, 2017, 854
  • [4] Validation of the dynamic wake meandering model with respect to loads and power production
    Reinwardt, Inga
    Schilling, Levin
    Steudel, Dirk
    Dimitrov, Nikolay
    Dalhoff, Peter
    Breuer, Michael
    WIND ENERGY SCIENCE, 2021, 6 (02) : 441 - 460
  • [5] Wind farm multi-objective wake redirection for optimizing power production and loads
    van Dijk, Mike T.
    van Wingerden, Jan-Willem
    Ashuri, Turaj
    Li, Yaoyu
    ENERGY, 2017, 121 : 561 - 569
  • [6] Loads and fatigue characteristics assessment of wind farm based on dynamic wake meandering model
    Ye, Shitong
    Wang, Qiang
    Mu, Yanfei
    Luo, Kun
    Fan, Jianren
    RENEWABLE ENERGY, 2024, 236
  • [7] Yaw Optimisation for Wind Farm Production Maximisation Based on a Dynamic Wake Model
    Deng, Zhiwen
    Xu, Chang
    Huo, Zhihong
    Han, Xingxing
    Xue, Feifei
    ENERGIES, 2023, 16 (09)
  • [8] Validation of the standalone implementation of the dynamic wake meandering model for power production
    Keck, Rolf-Erik
    WIND ENERGY, 2015, 18 (09) : 1579 - 1591
  • [9] Dynamic wake steering and its impact on wind farm power production and yaw actuator duty
    Kanev, Stoyan
    RENEWABLE ENERGY, 2020, 146 : 9 - 15
  • [10] Wind farm power production and fatigue load optimization based on dynamic partitioning and wake redirection of wind turbines
    Cai, Wei
    Hu, Yang
    Fang, Fang
    Yao, Lujin
    Liu, Jizhen
    APPLIED ENERGY, 2023, 339