The modification of wind turbine performance by statistically distinct atmospheric regimes

被引:56
|
作者
Vanderwende, B. J. [1 ]
Lundquist, J. K. [1 ,2 ]
机构
[1] Univ Colorado, Boulder, CO 80309 USA
[2] Natl Renewable Energy Lab, Golden, CO 80401 USA
来源
ENVIRONMENTAL RESEARCH LETTERS | 2012年 / 7卷 / 03期
关键词
wind energy; power curve; atmospheric stability; statistical significance; Monte Carlo; electricity; POWER; STABILITY;
D O I
10.1088/1748-9326/7/3/034035
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Power production from wind turbines can deviate from the manufacturer's specifications due to variability in atmospheric inflow characteristics, including stability, wind shear and turbulence. The practice of insufficient data at many operational wind farms has made it difficult to characterize this meteorological forcing. In this study, nacelle wind measurements from a wind farm in the high plains of central North America were examined along with meteorological tower data to quantify the effects of atmospheric stability regimes in the boundary layer on turbine power generation. The wind power law coefficient and the bulk Richardson number were used to segregate time periods by stability to generate regime-dependent power curves. Results indicated underperformance during stable regimes and overperformance during convective regimes at moderate wind speeds (8-12 m s(-1)). Statistical testing using the Monte Carlo approach demonstrated that these results were robust, despite potential deviations of the nacelle wind speeds from free-stream inflow values due to momentum loss from the turbine structure and spinning rotor. A hypothetical stability dependence between free-stream and nacelle wind speeds was generated that can be evaluated in future analyses. The low instrumentation requirement of our power analysis technique should enable similar studies at many wind sites formerly considered inappropriate.
引用
收藏
页数:7
相关论文
共 50 条
  • [11] Effects of atmospheric stability on the performance of a wind turbine located behind a three-dimensional hill
    Liu, Luoqin
    Stevens, Richard J. A. M.
    RENEWABLE ENERGY, 2021, 175 : 926 - 935
  • [12] Atmospheric stability affects wind turbine power collection
    Wharton, Sonia
    Lundquist, Julie K.
    ENVIRONMENTAL RESEARCH LETTERS, 2012, 7 (01):
  • [13] Wind turbine power and sound in relation to atmospheric stability
    van den Berg, G. P.
    WIND ENERGY, 2008, 11 (02) : 151 - 169
  • [14] Probabilistic Models for Wind Turbine and Wind Farm Performance
    Arwade, Sanjay R.
    Lackner, Matthew A.
    Grigoriu, Mircea D.
    JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME, 2011, 133 (04):
  • [15] The impact of humidity on performance of wind turbine
    Danook, Suad Hassan
    Jassim, Khamis Joir
    Hussein, Adnan Mohammed
    CASE STUDIES IN THERMAL ENGINEERING, 2019, 14
  • [16] Atmospheric stability affects wind turbine power in large offshore wind farms
    Peng Xiufang
    Hu Yu
    Xiang Wen
    Xu Cang
    Xue Feifei
    PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2016), 2016, 98 : 408 - 415
  • [17] Performance analysis of the deflector integrated cross axis wind turbine
    Chong, Wen-Tong
    Muzammil, Wan Khairul
    Ong, Hwai-Chyuan
    Sopian, Kamaruzzaman
    Gwani, Mohammed
    Fazlizan, Ahmad
    Poh, Sin-Chew
    RENEWABLE ENERGY, 2019, 138 : 675 - 690
  • [18] Using atmospheric inputs for Artificial Neural Networks to improve wind turbine power prediction
    Nielson, Jordan
    Bhaganagar, Kiran
    Meka, Rajitha
    Alaeddini, Adel
    ENERGY, 2020, 190
  • [19] Wind turbine aerodynamic response under atmospheric icing conditions
    Etemaddar, M.
    Hansen, M. O. L.
    Moan, T.
    WIND ENERGY, 2014, 17 (02) : 241 - 265
  • [20] Wind turbine fatigue loads as a function of atmospheric conditions offshore
    Holtslag, M. C.
    Bierbooms, W. A. A. M.
    van Bussel, G. J. W.
    WIND ENERGY, 2016, 19 (10) : 1917 - 1932