Wind turbine wakes over hills

被引:39
|
作者
ShaMsoddin, Sina [1 ]
Porte-Agel, Fernando [1 ]
机构
[1] Ecole Polytech Fed Lausanne, Wind Engn & Renewable Energy Lab WIRE, EPFL ENAC IIE WIRE, CH-1015 Lausanne, Switzerland
基金
瑞士国家科学基金会;
关键词
turbulent boundary layers; turbulent flows; wakes; LARGE-EDDY SIMULATION; BOUNDARY-LAYER FLOW; FINITE-DIFFERENCE MODEL; SUBGRID-SCALE MODELS; TURBULENT-FLOW; COMPLEX TERRAIN; CURVED HILL; AIR-FLOW; PERFORMANCE; CURVATURE;
D O I
10.1017/jfm.2018.653
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Understanding and predicting the behaviour of wind turbine wake flows over hills is important for optimal design of wind-farm configurations on topography. In this study, we present an analytical modelling framework together with large-eddy simulation (LES) results to investigate turbine wakes over two-dimensional hills. The analytical model consists of two steps. In the first step, we deal with the effect of the pressure gradient on the wake evolution; and in the second step, we consider the effect of the hill-induced streamline distortion on the wake. This model enables us to obtain the wake recovery rate, the mean velocity and velocity deficit profiles and the wake trajectory in the presence of the hill. Moreover, we perform LES to test our model and also to obtain new complementary insight about such flows. Especially, we take advantage of the LES data to perform a special analysis of the behaviour of the wake on the leeward side of the hill. It is found that the mainly favourable pressure gradient on the windward side of the hill accelerates the wake recovery and the adverse pressure gradient on the leeward side decelerates it. The wake trajectory for a hill of the same height as the turbine's hub height is found to closely follow the hill profile on the windward side, but it maintains an almost constant elevation (a horizontal line) downstream of the hilltop. The trajectory of the wake on the leeward side is also studied for a limiting case of an escarpment, and it is shown that an internal boundary layer forms on the plateau which leads to an upward displacement of the wake centre. Finally, a parametric study of the position of the turbine with respect to the hill is performed to further elucidate the effect of the hill-induced pressure gradient on the wind turbine wake recovery.
引用
收藏
页码:671 / 702
页数:32
相关论文
共 50 条
  • [21] Offshore wind turbine wakes measured by sodar
    Barthelmie, RJ
    Folkerts, L
    Ormel, FT
    Sanderhoff, P
    Eecen, PJ
    Stobbe, O
    Nielsen, NM
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2003, 20 (04) : 466 - 477
  • [22] Turbulence characteristics in wind-turbine wakes
    Crespo, A
    Hernandez, J
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 1996, 61 (01) : 71 - 85
  • [23] Large Eddy Simulation of Wind Turbine Wakes
    Chatelain, Philippe
    Backaert, Stephane
    Winckelmans, Gregoire
    Kern, Stefan
    FLOW TURBULENCE AND COMBUSTION, 2013, 91 (03) : 587 - 605
  • [24] Detecting wind turbine wakes with nacelle lidars
    Held, D. P.
    Larvol, A.
    Mann, J.
    WAKE CONFERENCE 2017, 2017, 854
  • [25] Influence of atmospheric stability on wind turbine wakes
    Magnusson, Mikael
    Smedman, Ann-Sofi
    Wind Engineering, 1994, 18 (03): : 139 - 152
  • [26] Large Eddy Simulation of Wind Turbine Wakes
    Philippe Chatelain
    Stéphane Backaert
    Grégoire Winckelmans
    Stefan Kern
    Flow, Turbulence and Combustion, 2013, 91 : 587 - 605
  • [27] Modelling wind turbine wakes with a porosity concept
    Aubrun, Sandrine
    Wind Energy, 2007, : 265 - 269
  • [28] A CFD code comparison of wind turbine wakes
    van der Laan, M. P.
    Storey, R. C.
    Sorensen, N. N.
    Norris, S. E.
    Cater, J. E.
    SCIENCE OF MAKING TORQUE FROM WIND 2014 (TORQUE 2014), 2014, 524
  • [29] Field Measurements of Wind Turbine Wakes with Lidars
    Iungo, Giacomo Valerio
    Wu, Yu-Ting
    Porte-Agel, Fernando
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2013, 30 (02) : 274 - 287
  • [30] Replacing wakes with streaks in wind turbine arrays
    Cossu, Carlo
    WIND ENERGY, 2021, 24 (04) : 345 - 356