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首页> 外文期刊>Journal of Applied Meteorology and Climatology >Trends in Wind Speed at Wind Turbine Height of 80 m over the Contiguous United States Using the North American Regional Reanalysis (NARR)
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Trends in Wind Speed at Wind Turbine Height of 80 m over the Contiguous United States Using the North American Regional Reanalysis (NARR)

机译:使用北美区域再分析(NARR),美国各地风力涡轮机高度为80 m时的风速趋势

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摘要

The trends in wind speed at a typical wind turbine hub height (80 m) are analyzed using the North American Regional Reanalysis (NARR) dataset for 1979–2009. A method, assuming the wind profile in the lower boundary layer as power-law functions of altitude, is developed to invert the power exponent (in the power-law equation) from the NARR data and to compute the following variables at 80 m that are needed for the estimation and interpretation of the trend in wind speed: air density, zonal wind u, meridional wind υ, and wind speed. Statistically significant and positive annual trends are found to be predominant over the contiguous United States, with spring and winter being the two largest contributing seasons. Positive trends in surface wind speed are generally smaller than those at 80 m, with less spatial coverage, reflecting stronger increases in wind speed at altitudes above the 80-m level. Large and positive trends in winds over the southeastern region and high-mountain region are primarily due to the increasing trend in southerly wind, while the trends over the northern states (near the Canadian border) are primarily due to the increasing trend in westerly wind. Trends in the 90th percentile of the annual wind speed, a better indicator for the trend in wind power recourses, are 40%–50% larger than but geographically similar to the trends in the annual mean wind speed. The probable climatic drivers for change in wind speed and direction are discussed, and further studies are needed to evaluate the fidelity of wind speed and direction in the NARR.
机译:使用1979-2009年北美区域再分析(NARR)数据集分析了典型风力涡轮机轮毂高度(80 m)处的风速趋势。提出了一种方法,该方法假设下边界层中的风廓线是海拔的幂律函数,可以从NARR数据中求出幂指数(在幂律方程中),并计算以下80 m处的变量:估计和解释风速趋势所需要的:空气密度,纬向风u,子午风υ和风速。据统计,在连续的美国,统计学上显着且积极的年度趋势占主导地位,春季和冬季是两个最大的贡献季节。地表风速的正趋势通常小于80 m处的正趋势,空间覆盖范围较小,这反映了80 m以上高度处的风速增加幅度更大。东南地区和高山地区的大风和积极趋势主要归因于南风的增加趋势,而北部各州(靠近加拿大边境)的趋势主要归因于西风的增加趋势。年度风速的百分之九十的趋势是风力发电资源趋势的更好指标,比年度平均风速的趋势大40%至50%,但在地理上却相似。讨论了风速和风向变化的可能气候驱动因素,还需要进一步研究以评估NARR中风速和风向的逼真度。

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