国内外风工程界采用的风力机体系风效应分析方法通常基于良态气候模式,而台风边界层风特性不同于良态气候模式,台风作用过程中会表现出明显的时空变异性和多尺度涡结构。针对现存土木工程台风模型理论体系过度简化的问题,引入考虑真实台风场强变异性和衰减效应的中尺度天气预报模式(WRF)对“鹦鹉”台风进行高时空分辨率模拟,重点对比台风登陆前、登陆时和登陆后台风风向和风强特征,并结合模拟台风中心路径与实测路径的对比结果验证了中尺度台风“鹦鹉”模拟的有效性。以中国东南沿海地区某风电厂5 MW水平轴风力机为对象,基于WRF模拟获得近地面三维风场数据,并结合小尺度CFD大涡模拟技术分别对叶片单个旋转周期不同停机位置工况进行三维非定常数值模拟。在此基础上,结合有限元完全瞬态法对不同停机工况进行了风振响应动力时程分析,提炼出停机位置对体系风振响应和风振系数的影响规律,最终归纳总结了台风作用下大型风力机体系最不利停机位置。结果表明:采用WRF模式可以有效模拟近地面台风风场,拟合的台风剖面指数为0.076;台风下塔架内力和风振系数显著增大,尤其是与塔架相对位置最近的叶片风振响应最为不利,内力最大增幅达35%。分析发现:当台风作用下大型风力机处于停机状态,下叶片与塔架完全重合(工况1)时为最不利,旋转至上叶片完全重合(工况5)时安全余度最大。
Abstract
Wind effect analysis methods for wind turbine systems used in wind engineering are usually based on a good state of climate models at home and abroad. Wind characteristics of typhoon boundary layer are different from those of good state of climate models, and typhoon can reveal obvious time-space variability and multi-scale vortex structure. Here, aiming at problems of theoretical system of civil engineering typhoon model being oversimplified, a meso-scale weather forecast (WRF) model was introduced to simulate the typhoon "Nuri" with high time-space resolution. Firstly, the central task is to compare typhoon’s wind direction and wind strength features before, during and after landing. Then, the typhoon center path simulation results were compared with the measured ones to verify the effectiveness of the meso-scale typhoon "Nuri" simulation. Taking a 5 MW horizontal axis wind turbine of a wind power plant in southeast coastal area of China as the object, the near ground 3-D wind field data were obtained based on the WRF simulation, and the small scale CFD large eddy simulation technology was used to do 3-D nonstationary numerical simulation for single rotating period of blades under conditions of different stop positions. Then, the finite element full transient method was used to do the dynamic time history analysis for the system’s wind vibration response under conditions of different stop positions, and extract influence law of stop positions on wind vibration response and wind vibration coefficient of the system. Finally, the most unfavorable stop positions of large wind turbine system under typhoon were summarized. The results showed that the WRF model can effectively be used to simulate typhoon’s near ground wind field, and the fitted typhoon profile index is 0.076; the tower frame internal force and wind vibration coefficient increase significantly under typhoon, especially, wind vibration response of the blade closest to the tower frame is the most unfavorable, the internal force amplitude increases up to 35%; when the large wind turbine system stops under action of typhoon, lower blade completely coinciding with tower frame is the most unfavorable (condition 1), while upper blade completely coinciding with tower frame has the maximum safety margin (condition 5).
关键词
风力机 /
中小尺度嵌套 /
大涡模拟 /
停机位置 /
风振响应 /
风振系数
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Key words
wind turbine /
meso-micro scale /
large eddy simulation /
stop positions /
wind vibration responses /
wind vibration coefficient
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参考文献
[1] 陈斌, 王凯, 刘健,等. 0608号台风“桑美”过境前后对长江口外海域环境的影响[J]. 地球科学-中国地质大学学报, 2016, 41(8):1402-1412.
Chen B, Wang K, Liu J, et al. The impact of super typhoon Saomai(0608) on the offshore environment near the Yangtze estuary[J]. Earth Science, 2016, 41(8): 1402-1412.
[2] GB/T 25383-2010. 风力发电机组-风轮叶片[S]. 北京: 中国标准出版社, 2010.
GB/T 25383-2010. Wind Turbine Generator System-Rotor Blades[S]. Beijing: China Standards Press, 2010.
[3] CCS-2008. 中国船级社规范-风力发电机组规范[S]. 北京: 人民交通出版社, 2008.
CCS-2008. China Classification Siciety-Specification for wind turbines[S]. Beijing: China communication press, 2008.
[4] Carvalho D, Rocha A, Gómez-Gesteira M, et al. WRF wind simulation and wind energy production estimates forced by different reanalyses: Comparison with observed data for Portugal[J]. Applied Energy, 2014, 117(3): 116-126.
[5] Maruyama T, Tomokiyo E, Maeda J. Simulation of strong wind field by non-hydrostatic mesoscale modeland its applicability for wind hazard assessment of buildings and houses[J]. Hydrological Research Letters, 2010, 4: 40-44.
[6] Basso J L M, Macedo L R, Yamasaki Y. Evaluation of time range forecasting of surface wind of WRF[J]. Ciência E Natura, 2014, 36(2): 491-496.
[7] Miglietta M M, Zecchetto S, Biasio F D. A comparison of WRF model simulations with SAR wind data in two case studies of orographic lee waves over the Eastern Mediterranean Sea[J]. Atmospheric Research, 2013, 120(2): 127-146.
[8] 沈炼, 韩艳, 董国朝,等. 基于WRF的山区峡谷桥址风场数值模拟[J]. 中国公路学报, 2017, 30(5): 104-113.
Shen L, Han Y, Dong G C, et al. Numerical simulation of wind field on bridge site located in mountainous area and gorge based on WRF[J]. China J. Highw. Transp., 2017, 30(5): 104-113.
[9] Takeyama Y, Ohsawa T, Kozai K, et al. Effectiveness of WRF wind direction for retrieving coastal sea surface wind from synthetic aperture radar[J]. Wind Energy, 2013, 16(6): 865–878.
[10] GB50009-2012 建筑结构荷载规范[S]. 北京: 中国建筑工业出版社, 2012.
GB50009-2012 Load code for the design of building structures[S]. Beijing: China building industry press, 2012.
[11] Vreman B, Geurts B, Kuerten H. Large-eddy simulation of the turbulent mixing layer[J]. Journal of Fluid Mechanics, 2017, 339(339): 357-390.
[12] Shamsoddin S, Porté-Agel F. Large-Eddy Simulation of Atmospheric Boundary-Layer Flow Through a Wind Farm Sited on Topography[J]. Boundary-Layer Meteorology, 2016, 163(1): 1-17.
[13] 卢春玲, 李秋胜, 黄生洪,等. 大跨度复杂屋盖结构风荷载的大涡模拟[J]. 土木工程学报, 2011, 44(1): 1-9.
Lu C L, LI Q S, Huang S H, et al. Simulation of large eddy of wind load on a long-span complex roof structure[J]. China Civil Engineering Journal, 2011, 44(1): 1-9.
[14] 柯世堂, 余玮, 王同光. 基于大涡模拟考虑叶片停机位置大型风力机风振响应分析[J]. 振动与冲击, 2017, 36(7): 92-98.
Ke S T, Yu W, Wang T G. Wind-included vibration response analysis for a large wind turbine blade-tower system based on large eddy simulation[J]. Journal of vibration and shock, 2017, 36(7): 92-98.
[15] 余玮, 柯世堂, 王同光. 叶片停机位置对风力机塔架绕流及尾流特性影响[J]. 振动与冲击, 2017, 36(18): 207-213.
Yu W, Ke S T, Wang T G. Impact of blade stopped positions on the flow around wind turbine tower and its wake performance[J]. Journal of vibration and shock, 2017, 36(18): 207-213.
[16] Ke S T, Xu L, Ge Y J. The aerostatic response and stability performance of a wind turbine tower-blade coupled system considering blade shutdown position[J]. Wind and Structures, An International Journal, 2017, 25(6), 507-535.
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