This paper analyzed time-series variation and spatial distribution characteristics of wind resources at the eastern edge of Qaidam Basin based on the wind resources gradient automatic observation system. Wind resources are relatively abundant in the study area, the cumulative number of hours of wind speed between 3–25 m s-1 are more than 6600, equal to 275 days, exceeding 75% of total annual hours. Advantage wind velocity spectrum was in the scope of 3–9 m s-1 at all gradients and the peak value of wind speed was 4–6 m s-1. Differences in the wind speed frequency distribution at other gradients were not apparent except for the 10 m gradient. Compared with other layers, the occurrence frequency of small wind at the level of 10 m was higher, while the occurrence frequency of wind speed between 6 and 12 m s-1 was higher at other layers. The advantage wind direction in this area was northwest and the wind speed difference was not obvious. Wind speed and wind power density gradually increased with the increasing height, and differences among sites were apparent. The average wind turbulence intensity was 0.199 at each layer and the average shear index was 0.075; turbulence intensity and shear index gradually reduced from over a 10–70 m gradient. Turbulence intensity had the same variation tendency as local temperature, whereby a high temperature corresponded to high turbulence and low temperature to low turbulence. The variation tendency of shear index was opposite to that for turbulence intensity; turbulence intensity gradually decreased from lower layers to top layers and shear index was most obvious between 10–30 m. Turbulence intensity at each site at each level was between 0.10–0.25, and of medium intensity. These data will provide a technical gist for the layout of wind farms and the utilization of wind power resource at ground level throughout the study region.
LI Yan, SHAO Xuemei, LIANG Haihe, GUO Yatian
. Spatial-temporal Variation in Wind Resources at the Eastern Edge of Qaidem Basin, China[J]. Journal of Resources and Ecology, 2012
, 3(4)
: 340
-348
.
DOI: 10.5814/j.issn.1674-764x.2012.04.007
Bureau of Statistics of Qinghai Province, NBS Survey Office in Qinghai Province. 2007. Qinghai statistical yearbook 2007. Beijing: China Statistical Press. (in Chinese)
Du Y J, Ma C C. 2010. Application of wind shear index in the assessment of wind resources of wind farm. Power System and Clean Energy, 26(5):62-66. (in Chinese)
Gong J Y. 2004. Wind farm engineering manual. Beijing: Mechanical Industry Press, 13-27. (in Chinese)
IEC. 2005. International standard IEC61400, part 1: design requirements (3rd edition). IEC.
Li D Y, Ye Z Q, Chen Y, et al. 2004. Load spectrum and fatigue life analysis of the blade of horizontal axis wind turbine. Engineering Mechanics, 21(6): 118-123. (in Chinese)
Li J F. 2011. China’s wind power development report 2011. Beijing: China’s Environmental Science Press, 1-10. (in Chinese)
Li Y, Liang H H, Wang S D, et al. 2012. Study of the near surface wind shear daily variation characteristics based on China’s wind power resources professional observation network. Journal of Natural Resources, 6(27): 1-11. (in Chinese)
Li Y, Pei C, Guo Y T, et al. 2010. Construction and application of the operation monitoring system of the wind energy resources professional observation network in China. Resources Science, 32(9):1679-1684. (in Chinese)
Peng H W, Feng C Q, Bai Z G. 2010. The study of wind shear index study during wind resource evaluation. Renewable Energy Resource, 28(1): 21-28. (in Chinese)
Smith K, G Randall, D Malcolm et al. 2002. Evaluation of wind shear patterns at midwest wind energy facilities. NREL/CP-500-32492.
The national standard of the People’s Republic of China. 2002. The national standard of the People’s Republic of China - wind farm wind energy resources evaluation method. GB/T 18710—2002. (in Chinese)
Wang J S, Li X F. 2004. Weather and climate of Qinghai Province. Beijing: Meteorological Press. (in Chinese)
Xu G Z. 2008. Optimize the industrial structure of the Qinghai energy path analysis. Journal of Qinghai Normal University (Philosophy and Social Sciences Edition), 5(130): 10-13. (in Chinese)
Xue H, Zhu R Z, Yang Z B, et al. 2001. China’s wind power resource reserves estimation. Acta Energiae Solaris Sinica, 22(2): 167-170. (in Chinese)
Yang Z B, Xue H, Yuan C H, et al. 2001. Wind power resources evaluation software used in site selection in wind farm. Meteorological Science and Technology, 29(3): 54-57. (in Chinese)
Zhu R Z, Xu H H, Yuan C H, et al. 2007. China’s energy sustainable development certain major issue research. Beijing: Science Press. (in Chinese)
Zhu R Z, Xue H. 1981. China’s wind power calculations and its distributions. Meteorological Monthly, 7(8): 26-28. (in Chinese)
Zhu R Z, Xue H. 1983. China’s wind power division. Acta Energiae Solaris Sinica, 4(2): 123-132. (in Chinese)
