Mesoscale simulations of a real onshore wind power base in complex terrain: Wind farm wake behavior and power production

被引:39
作者
Wang, Qiang [1 ]
Luo, Kun [1 ,2 ]
Wu, Chunlei [1 ]
Zhu, Zhaofan [1 ]
Fan, Jianren [1 ]
机构
[1] Zhejiang Univ, Dept Energy Engn, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R China
[2] Zhejiang Univ, Shanghai Inst Adv Study, Shanghai 200120, Peoples R China
基金
中国博士后科学基金;
关键词
Mesoscale simulation; Wind power base; Wind and topography; Wind farm wake behavior; Power production; FORECASTING-MODEL; WEATHER RESEARCH; TURBINE WAKES; WRF MODEL; SENSITIVITY; PARAMETERIZATION; IMPACTS; TUNNEL; CHINA; SCALE;
D O I
10.1016/j.energy.2021.122873
中图分类号
O414.1 [热力学];
学科分类号
摘要
Sustainable development of wind power is challenging due to the difficulty in detecting farm-to-farm wake. In this work, the wind farm wake and power production of Zhangbei wind power base under various wind and topography are studied using the mesoscale weather research and forecasting model coupled with a wind farm parameterization. The results show that the farm wake is closely related to wind and topography. The maximum wind deficit that occurs in the medium prevailing wind at isolated and mountainous regions are 2.5 m/s and 0.5 m/s, respectively. The farm wake recovers downstream 20 e35 km or more in isolated wind farms and about 6 km or less in mountainous wind farms, which can be neglected vertically higher than twice and fourfold diameters above the hub height. Moreover, the wind farms fully utilize the terrain acceleration outperform those located in the lower areas at the windward of the hill. The uncoordinated wind farm region with the minimum average normalized power of 0.47 is detected, which is attributed to the dense layout and no reasonable buffer zone along with the prevailing wind. It is imperative to perceive these and provide potential solutions to promote the sustainable development of wind power. (c) 2021 Elsevier Ltd. All rights reserved.
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页数:14
相关论文
共 56 条
  • [21] Experimental investigations of airfoil surface flow of a horizontal axis wind turbine with LDV measurements
    Li, Qing'an
    Xu, Jianzhong
    Kamada, Yasunari
    Takao, Maeda
    Nishimura, Shogo
    Wu, Guangxing
    Cai, Chang
    [J]. ENERGY, 2020, 191
  • [22] Wind resource potential assessment using a long term tower measurement approach: A case study of Beijing in China
    Liu, Junkai
    Gao, Chloe Y.
    Ren, Jingzhen
    Gao, Zhiqiu
    Liang, Hanwei
    Wang, Linlin
    [J]. JOURNAL OF CLEANER PRODUCTION, 2018, 174 : 917 - 926
  • [23] Costs and consequences of wind turbine wake effects arising from uncoordinated wind energy development
    Lundquist, J. K.
    DuVivier, K. K.
    Kaffine, D.
    Tomaszewski, J. M.
    [J]. NATURE ENERGY, 2019, 4 (01) : 26 - 34
  • [24] Performance of the Wind Farm Parameterization Scheme Coupled with the Weather Research and Forecasting Model under Multiple Resolution Regimes for Simulating an Onshore Wind Farm
    Mangara, Rajabu J.
    Guo, Zhenhai
    Li, Shuanglin
    [J]. ADVANCES IN ATMOSPHERIC SCIENCES, 2019, 36 (02) : 119 - 132
  • [25] Manwell J.F., 2010, Wind energy explained: Theory, design and application, DOI DOI 10.1002/9781119994367
  • [26] Large Eddy Simulation of wind farm aerodynamics: A review
    Mehta, D.
    van Zuijlen, A. H.
    Koren, B.
    Holierhoek, J. G.
    Bijl, H.
    [J]. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2014, 133 : 1 - 17
  • [27] Study on the wind-farm wake under neutral atmospheric condition
    Meng, Hang
    Han, Shuang
    Yu, Xin
    Gu, Bo
    Li, Li
    [J]. INTERNATIONAL JOURNAL OF GREEN ENERGY, 2021, 18 (10) : 998 - 1006
  • [28] Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave
    Mlawer, EJ
    Taubman, SJ
    Brown, PD
    Iacono, MJ
    Clough, SA
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1997, 102 (D14) : 16663 - 16682
  • [29] Wind modelling, validation and sensitivity study using Weather Research and Forecasting model in complex terrain
    Mughal, Muhammad Omer
    Lynch, Mervyn
    Yu, Frank
    McGann, Brendan
    Jeanneret, Francois
    Sutton, John
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2017, 90 : 107 - 125
  • [30] Turbulent kinetics of a large wind farm and their impact in the neutral boundary layer
    Na, Ji Sung
    Koo, Eunmo
    Munoz-Esparza, Domingo
    Jin, Emilia Kyung
    Linn, Rodman
    Lee, Joon Sang
    [J]. ENERGY, 2016, 95 : 79 - 90