The modification of wind turbine performance by statistically distinct atmospheric regimes

被引:58
作者
Vanderwende, B. J. [1 ]
Lundquist, J. K. [1 ,2 ]
机构
[1] Univ Colorado, Boulder, CO 80309 USA
[2] Natl Renewable Energy Lab, Golden, CO 80401 USA
关键词
wind energy; power curve; atmospheric stability; statistical significance; Monte Carlo; electricity; POWER; STABILITY;
D O I
10.1088/1748-9326/7/3/034035
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Power production from wind turbines can deviate from the manufacturer's specifications due to variability in atmospheric inflow characteristics, including stability, wind shear and turbulence. The practice of insufficient data at many operational wind farms has made it difficult to characterize this meteorological forcing. In this study, nacelle wind measurements from a wind farm in the high plains of central North America were examined along with meteorological tower data to quantify the effects of atmospheric stability regimes in the boundary layer on turbine power generation. The wind power law coefficient and the bulk Richardson number were used to segregate time periods by stability to generate regime-dependent power curves. Results indicated underperformance during stable regimes and overperformance during convective regimes at moderate wind speeds (8-12 m s(-1)). Statistical testing using the Monte Carlo approach demonstrated that these results were robust, despite potential deviations of the nacelle wind speeds from free-stream inflow values due to momentum loss from the turbine structure and spinning rotor. A hypothetical stability dependence between free-stream and nacelle wind speeds was generated that can be evaluated in future analyses. The low instrumentation requirement of our power analysis technique should enable similar studies at many wind sites formerly considered inappropriate.
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页数:7
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