Study on Vertical Extrapolation Model of Wind Speed in Inland Complex Wind Farms

doi:10.11930/j.issn.1004-9649.202305049

Abstract

Abstract:

According to the evaluation of onshore wind energy resources, the hub height of the wind turbine is greater than the height of the wind tower. The influences of atmospheric stability and surface roughness changes are ignored, and the wind shear index is affected by ground topography and geomorphic factors. Moreover, the wind speed is difficult to predict accurately when increased to the hub height. Therefore, based on Monin Obukhov's similarity theory and the least squares calculation model of dynamic roughness, a fitting method based on atmospheric thermal stability under neutral conditions was established. Firstly the spatial distribution of wind shear index at different locations and its correlation with changes in atmospheric stability were evaluated. Secondly, based on the measured data of onshore wind farms with two different landforms, the proposed method was compared with the commonly used calculation scheme of wind speed at hub height using comprehensive shear extrapolation. The results show that the daily variation of wind shear index is correlated with that of atmospheric stability. The new calculation method of the extrapolated wind speed model can evaluate the vertical distribution of wind speed at target height more accurately.

Key words: wind energy, atmospheric stability, wind shear index, power law formula

Rui HU, Shuzhou WU, Yonghua LI, Jiafei QIAO. Study on Vertical Extrapolation Model of Wind Speed in Inland Complex Wind Farms[J]. Electric Power, 2024, 57(5): 232-239.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202305049

https://www.electricpower.com.cn/EN/Y2024/V57/I5/232

Figures/Tables 11

Table 1 Basic information of wind tower

测风塔	经纬度	地形地貌	海拔/m	风速观测高度/m	风向观测高度/m	气温气压观测高度/m
1号	40º03′N, 107º50′E	草地和林地	1150.8	10, 30, 50, 70, 100, 130, 150	10, 70, 150	10
2号	39°51′N, 111°13′E	平坦沙漠	1223.8	30, 50, 70, 100, 130, 150	30, 100, 150	10

Fig.1 Model flow

Fig.2 Wind speed rose diagram and wind energy rose diagram of two wind towers

Fig.3 Daily variation relationship between wind shear index and temperature

Fig.4 All-day variation of atmospheric stability classification of wind tower

Fig.5 Wind shear index with different height differences

Fig.6 Daily variation curve of wind shear index under different stability levels

Fig.7 Scatter diagram of correlation between measured wind speeds at heights of 130 m and 150 m

Fig.8 Scatter diagram of correlation between measured wind speeds at heights of 110 m and 150 m

Fig.9 Annual wind speed error of wind farm 1

Fig.10 Annual wind speed error of wind farm 2

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