Validation of kinematic wind turbine wake models in complex terrain using actual windfarm production data

被引:20
作者
Seim, Fredrik [1 ]
Gravdahl, Arne R. [1 ,2 ]
Adaramola, Muyiwa S. [1 ]
机构
[1] Norwegian Univ Life Sci, Fac Environm Sci & Nat Resource Management, Hogskoleveien 12, N-1433 As, Norway
[2] WindSim AS, Fjordgaten 15, N-3125 Tonsberg, Norway
关键词
Kinematic wake models; Complex terrain; Annual energy production; WindSim software; FARMS;
D O I
10.1016/j.energy.2017.01.140
中图分类号
O414.1 [热力学];
学科分类号
摘要
Measurements from a wind farm in northern Norway have been used in an attempt to validate three kinematic wake models, which are often preferred due to their efficiency in terms of calculation time. Assisted by the commercial CFD-based WindSim software, the accuracy of the Jensen-, Larsen- and Ishihara model are tested in eight single-wake cases with regard to several key aspects. Due to the complex terrain at the site, a range of issues complicated the validation procedure. The Larsen model correlated well with the measured data regarding the normalized power deficit, while both the Jensen and Ishihara model clearly overestimated the power deficit. At the wake centerline, the Larsen model was by far the most accurate, with a mean absolute error of 7%. The Jensen- and Ishihara model had a mean absolute error of 21% and 34% respectively. Both the Jensen- and Ishihara model agreed well with the observed wake width. The Larsen model widely overestimated the wake width in all cases, but with an almost constant offset. For the energy loss in the wake, the Larsen model performed best for the three investigated wake cases with a mean absolute error of 29%, although all the three wake models showed a varying performance with a tendency to underestimate the energy loss. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:742 / 753
页数:12
相关论文
共 25 条
  • [1] Experimental investigation of wake effects on wind turbine performance
    Adaramola, M. S.
    Krogstad, P. -A.
    [J]. RENEWABLE ENERGY, 2011, 36 (08) : 2078 - 2086
  • [2] Estimating global solar radiation using common meteorological data in Akure, Nigeria
    Adaramola, Muyiwa S.
    [J]. RENEWABLE ENERGY, 2012, 47 : 38 - 44
  • [3] [Anonymous], 2007, THESIS
  • [4] [Anonymous], AIAA ISSMO 2012 MULT
  • [5] Quantifying the Impact of Wind Turbine Wakes on Power Output at Offshore Wind Farms
    Barthelmie, R. J.
    Pryor, S. C.
    Frandsen, S. T.
    Hansen, K. S.
    Schepers, J. G.
    Rados, K.
    Schlez, W.
    Neubert, A.
    Jensen, L. E.
    Neckelmann, S.
    [J]. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2010, 27 (08) : 1302 - 1317
  • [6] Berge E., 2006, P EUR WIND EN C ATH
  • [7] Wake modeling with the Actuator Disc concept
    Crasto, G.
    Gravdahl, A. R.
    Castellani, F.
    Piccioni, E.
    [J]. SELECTED PAPERS FROM DEEP SEA OFFSHORE WIND R&D CONFERENCE, 2012, 24 : 385 - 392
  • [8] Crasto G., 2011, P EUR WIND EN ASS C
  • [9] De Souza A, 2005, TO UNDERSTAND COMPUT
  • [10] Investigation and Validation of Wind Turbine Wake Models
    Duckworth, A.
    Barthelmie, R.
    [J]. WIND ENGINEERING, 2008, 32 (05) : 459 - 475