Please wait a minute...
Journal of ZheJiang University (Engineering Science)  2026, Vol. 60 Issue (6): 1350-1360    DOI: 10.3785/j.issn.1008-973X.2026.06.022
    
Effect of atmospheric stability on turbulence and wind turbine power in the Loess Plateau
Yulong MA1(),Shoutu LI1,*(),Ye LI1,2,Deshun LI1,Zhiteng GAO3,Liang GE4,Guowei WANG5,Qingdong MA1
1. College of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
2. Depart of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
3. Institute of Energy Science, Shantou University, Shantou 515063, China
4. China Three Gorges Internation Corporation, Beijing 101111, China
5. Gansu Chongtong Chengfei New Materials Limited Company, Wuwei 733000, China
Download: HTML     PDF(2645KB) HTML
Export: BibTeX | EndNote (RIS)      

Abstract  

The influence of atmospheric stability on turbulence characteristic and wind turbine power generation in a complex-terrain wind farm on the Loess Plateau was analyzed based on data from a field experiment observation station. Results showed that stable and neutral conditions dominated atmospheric conditions during spring, with high turbulence intensity (TI) under different atmospheric stability condition and little difference between them, while local characteristic had a dramatic impact on turbulent energy. The power performance was optimal under neutral condition. The flow field under stable condition was more sensitive to the induction effect of terrain in the wind speed range greater than 7 m/s, resulting in a more dispersed distribution of turbulence intensity and more obvious nonlinear characteristic of the wind profile. The power output under stable condition is inferior to that under unstable condition. Results indicate that the impact of atmospheric stability has significant local difference.



Key wordswind energy      the Loess Plateau      field experiment      atmospheric stability      Monin–Obukhov similarity theory      turbulence characteristic      power output     
Received: 11 September 2025      Published: 06 May 2026
CLC:  TK 81  
Fund:  国家自然科学基金资助项目(12162022,52166014);中央引导地方科技发展资金资助项目(25ZYJH001);中国博士后科学基金资助项目(2024M750568);甘肃省教育厅青年博士支持项目(2024QB-034);甘肃省重点研发计划基金资助项目(25YFGA034,25YFGA035);甘肃省教育厅产业支撑计划资助项目(2025CYZC-026).
Corresponding Authors: Shoutu LI     E-mail: ylma231206@163.com;lishoutu@lut.edu.cn
Cite this article:

Yulong MA,Shoutu LI,Ye LI,Deshun LI,Zhiteng GAO,Liang GE,Guowei WANG,Qingdong MA. Effect of atmospheric stability on turbulence and wind turbine power in the Loess Plateau. Journal of ZheJiang University (Engineering Science), 2026, 60(6): 1350-1360.

URL:

https://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2026.06.022     OR     https://www.zjujournals.com/eng/Y2026/V60/I6/1350


黄土高原大气稳定性对湍流及风力机功率的影响

基于该区域风电场建立的外场实验观察站的测量数据,研究黄土高原山地风电场中大气稳定度对湍流特性及风力机输出功率的影响. 结果表明,该风电场区域春季大气稳定性以稳定和中性层结为主,平均湍流度(TI)在不同的大气稳定性下均较高且差异不大,局地特征对湍流能量的影响剧烈. 中性层结的风力机输出功率性能最佳,而当风速大于7 m/s时,稳定层结下流场对地形的诱导作用更加敏感,使得湍流度分布更分散,风廓线非线性特征更明显,稳定层结的风力机功率输出低于非稳定层结,说明大气稳定度的影响具有显著的局地差异性特征.


关键词: 风能,  黄土高原,  外场实验,  大气稳定性,  MOST相似理论,  湍流特征,  功率输出 
参数数值参数数值
风轮直径/m105切出风速/(m·s?1)20
轮毂高度/m80额定风速/(m·s?1)10
切出风速/(m·s?1)3额定功率/MW2
Tab.1 Basic parameter of wind turbine
Fig.1 Geographical location of field observation station and experimental plan
Fig.2 Schematic diagram of wind direction frequency distribution and relative position of lidar
Fig.3 Schematic diagram of wind direction frequency distribution and relative position of lidar
Fig.4 Statistical histogram of atmospheric stability at different height
Fig.5 Relationship between normalized wind speed standard deviation and atmospheric stability parameter at different height
观测站工况$ {\sigma }_{u}/ {u}_{*} $$ {\sigma }_{v}/ {u}_{*} $$ {\sigma }_{w}/ {u}_{*} $
本文(157°~180°)LE2.392.990.42
本文(157°~180°)HH2.872.890.34
本文(157°~180°)UE3.122.660.26
CMAEMS (30 m)东南方向120°~150°3.703.301.30
CMAEMS (30 m)西北偏北方向300°~330°2.903.201.40
SACOL (2 m)四季3.352.981.26
Tab.2 Normalized standard deviation of wind speed component under neutral atmospheric stratification condition at different field observation stations
Fig.6 Probability distribution characteristic of turbulence intensity at different height
Fig.7 Intensity of turbulence variation with wind speed at different height
Fig.8 Scatter plot of turbulence intensity at different atmospheric stability
Fig.9 Relationship between atmospheric stability and dimensionless turbulent kinetic energy at different altitude
Fig.10 Power output characteristic under different atmospheric stability
Fig.11 Power distribution and wind shear characteristic under different atmospheric stability
[1]   ALFREDSSON P H, SEGALINI A Introduction wind farms in complex terrains: an introduction[J]. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2017, 375 (2091): 20160096
doi: 10.1098/rsta.2016.0096
[2]   BARSKOV K V, GLAZUNOV A V, REPINA I A, et al On the applicability of similarity theory for the stable atmospheric boundary layer over complex terrain[J]. Izvestiya, Atmospheric and Oceanic Physics, 2018, 54 (5): 462- 471
doi: 10.1134/S0001433818050031
[3]   RADÜNZ W C, SAKAGAMI Y, HAAS R, et al Influence of atmospheric stability on wind farm performance in complex terrain[J]. Applied Energy, 2021, 282: 116149
doi: 10.1016/j.apenergy.2020.116149
[4]   HAN X, LIU D, XU C, et al Atmospheric stability and topography effects on wind turbine performance and wake properties in complex terrain[J]. Renewable Energy, 2018, 126: 640- 651
doi: 10.1016/j.renene.2018.03.048
[5]   PÉREZ C, RIVERO M, ESCALANTE M, et al Influence of atmospheric stability on wind turbine energy production: a case study of the coastal region of yucatan[J]. Energies, 2023, 16 (10): 4134
doi: 10.3390/en16104134
[6]   KIM D Y, KIM B S Differences in wind farm energy production based on the atmospheric stability dissipation rate: case study of a 30 MW onshore wind farm[J]. Energy, 2022, 239: 122380
doi: 10.1016/j.energy.2021.122380
[7]   DO M T, LI R, JIANG Z The influence of atmospheric stability on wind turbine performance: a quantitative study using measurement from SCADA system and mast[J]. Journal of Physics: Conference Series, 2022, 2151 (1): 012004
doi: 10.1088/1742-6596/2151/1/012004
[8]   WHARTON S, LUNDQUIST J K Atmospheric stability affects wind turbine power collection[J]. Environmental Research Letters, 2012, 7 (1): 014005
doi: 10.1088/1748-9326/7/1/014005
[9]   汤青, 徐勇, 刘毅 黄土高原地区土地利用动态变化的空间差异分析[J]. 干旱区资源与环境, 2010, 24 (8): 15- 21
TANG Qing, XU Yong, LIU Yi Spatial difference of land use change in Loess Plateau region[J]. Journal of Arid Land Resources and Environment, 2010, 24 (8): 15- 21
[10]   ZHANG Z, LIANG J, ZHANG M, et al Surface layer turbulent characteristics over the complex terrain of the Loess Plateau semiarid region[J]. Advances in Meteorology, 2021, 2021: 6618544
doi: 10.1155/2021/6618544
[11]   李耀辉 中国气象局定西干旱气象与生态环境野外科学试验基地[J]. 干旱气象, 2020, 38 (3): 526
LI Yaohui Dingxi arid meteorology and ecological environment field scientific experiment base of the China Meteorological Administration[J]. Journal of Arid Meteorology, 2020, 38 (3): 526
[12]   HUANG J, ZHANG W, ZUO J, et al An overview of the semi-arid climate and environment research observatory over the Loess Plateau[J]. Advances in Atmospheric Sciences, 2008, 25 (6): 906- 921
doi: 10.1007/s00376-008-0906-7
[13]   LU Y, LI X, XIN L, et al Mapping the terraces on the Loess Plateau based on a deep learning-based model at 1.89 m resolution[J]. Scientific Data, 2023, 10: 115
doi: 10.1038/s41597-023-02005-5
[14]   FU T, WANG C A novel ensemble wind speed forecasting model in the Longdong Area of Loess Plateau in China[J]. Mathematical Problems in Engineering, 2018, 2018: 2506157
doi: 10.1155/2018/2506157
[15]   CAO J, QIN Z, GAO X, et al Study of aerodynamic performance and wake effects for offshore wind farm cluster[J]. Ocean Engineering, 2023, 280: 114639
doi: 10.1016/j.oceaneng.2023.114639
[16]   HOLTON J R, HAKIM G J. An introduction to dynamic meteorology [M]. Amsterdam: Academic Press, 2013.
[17]   GEORGANTOPOULOU C G, GEORGANTOPOULOS G A. International standard atmosphere, in BS [M]. Hoboken: Wiley, 2018.
[18]   HUTSCHEMAEKERS J J W. Comparison of classification systems to define atmospheric stability: and their impact on wind turbine design [D]. Delft: Delft University of Technology, 2014.
[19]   MORAES O L L Turbulence characteristics in the surface boundary layer over the south American pampa[J]. Boundary-Layer Meteorology, 2000, 96 (3): 317- 335
doi: 10.1023/A:1002604624749
[20]   MASON P Atmospheric boundary layer flows: their structure and measurement[J]. Boundary-Layer Meteorology, 1995, 72 (1): 213- 214
[21]   SFYRI E, ROTACH M W, STIPERSKI I, et al Scalar-flux similarity in the layer near the surface over mountainous terrain[J]. Boundary-Layer Meteorology, 2018, 169 (1): 11- 46
doi: 10.1007/s10546-018-0365-3
[22]   REN Y, ZHANG H, WEI W, et al Comparison of the turbulence structure during light and heavy haze pollution episodes[J]. Atmospheric Research, 2019, 230: 104645
doi: 10.1016/j.atmosres.2019.104645
[23]   STULL R B. An introduction to boundary layer meteorology [M]. Berlin: Springer, 1988.
[24]   IEC. Wind energy generation systems — Part 1: design requirements: IEC 61400–1–2019 [S]. Geneva: IEC, 2019.
[25]   刘辉志, 洪钟祥, 张宏升, 等 内蒙古奈曼流动沙丘下垫面湍流输送特征初步研究[J]. 大气科学, 2003, 27 (3): 389- 398
LIU Huizhi, HONG Zhongxiang, ZHANG Hongsheng, et al The turbulent characteristics in the surface layer over dune at Naiman in Inner Mongolia[J]. Chinese Journal of Atmospheric Sciences, 2003, 27 (3): 389- 398
[26]   YUE P, ZHANG Q, WANG R, et al Turbulence intensity and turbulent kinetic energy parameters over a heterogeneous terrain of Loess Plateau[J]. Advances in Atmospheric Sciences, 2015, 32 (9): 1291- 1302
doi: 10.1007/s00376-015-4258-9
[27]   中华人民共和国住房和城乡建设部. 建筑结构荷载规范: GB 50009—2012 [S]. 北京: 中国建筑工业出版社, 2012.
[28]   ZHAO J, GUO Z, GUO Y, et al Wind resource assessment based on numerical simulations and an optimized ensemble system[J]. Energy Conversion and Management, 2019, 201: 112164
doi: 10.1016/j.enconman.2019.112164
[29]   KIM D Y, KIM Y H, KIM B S Changes in wind turbine power characteristics and annual energy production due to atmospheric stability, turbulence intensity, and wind shear[J]. Energy, 2021, 214: 119051
doi: 10.1016/j.energy.2020.119051
[30]   NIU S, ZHAO L, LU C, et al Observational evidence for the Monin-Obukhov similarity under all stability conditions[J]. Advances in Atmospheric Sciences, 2012, 29 (2): 285- 294
doi: 10.1007/s00376-011-1112-6
[1] Shulin YANG,Qiang WANG,Kun LUO,Jianren FAN. Relationship between atmospheric stability and wind parameters in onshore wind farm clusters[J]. Journal of ZheJiang University (Engineering Science), 2026, 60(2): 231-239.
[2] Yanbin DONG,Deshun LI,Rennian LI. Wake and power characteristics of wind farms in typhoon-affected southeastern coastal mountains[J]. Journal of ZheJiang University (Engineering Science), 2026, 60(2): 240-247.
[3] Xinyang LI,Weifeng LIU,Xuning GUO,Yunling LI,Feilin ZHU,Ping’an ZHONG. Complementary characteristics of wind-photovoltaic-hydropower output in basin[J]. Journal of ZheJiang University (Engineering Science), 2024, 58(7): 1505-1515.