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基于Weibull分布的风能资源分析与评价——以郑州市为例

Analysis and Evaluation of Wind Energy Resources Based on Weibull Distribution——Taking Zhengzhou City as an Example
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摘要 基于郑州市8个国家气象观测站2003-2017年所记录的平均风速和风向数据,通过Weibull分布函数计算年均风速、年有效风力小时数、年均风功率密度和风向频率等关键风力技术参数,对郑州市的风能资源状况和风力发电前景进行全面评估。结果表明:郑州地区距地10 m高度的年均风速均呈现逐年减小变化趋势,而历年平均风速从郑州市西部到东部呈现递减的空间分布规律。郑州地区风能资源整体贫乏,但是嵩山地区的风能资源具有显著优势,嵩山地区属于风能丰富区,其平均风速为4.6 m/s、有效风力小时数超过6000 h,平均风功率密度也在200 W/m^(2)以上,且风向频率分布良好,风能分布较为集中,具备很好的经济效益和投资价值。 Based on the average wind speed and wind direction data recorded from 2003 to 2017 at eight national meteorological observation stations in Zhengzhou City,this study calculates the key wind technical parameters such as annual average wind speed,annual effective wind power hours,annual average wind power density and wind direction frequency through the Weibull distribution function,and comprehensively evaluates the status of the wind resources and the prospect of wind power generation in Zhengzhou City.The results show that the annual average wind speed at a height of 10 m above the ground in Zhengzhou City shows a decreasing trend year by year,and the annual average wind speed shows a decreasing spatial distribution pattern from the west to the east of Zhengzhou City.Zhengzhou area wind energy resources are poor on the whole but the wind energy resources in Songshan area has a significant advantage.Songshan region is a wind energy rich area,with an average wind speed of 4.6m/s.Effective wind hours are more than 6000 h,and an average wind power density is more than 200 W/m~2.The wind direction and frequency distribution is good and the wind distribution is more centralized,with good economic benefits and investment value.
作者 刘博伟 田林钢 刘佳昕 孙嘉辰 何好飞 罗飞 Liu Bowei;Tian Lingang;Liu Jiaxin;Sun Jiachen;He Haofei;Luo Fei(School of Water Conservancy,North China University of Water Resources and Electric Power,Zhengzhou 450046,Henan,China)
出处 《绿色科技》 2024年第16期236-240,共5页 Journal of Green Science and Technology
关键词 风能资源 风力发电 年有效风力小时数 年平均风功率密度 wind energy resources wind power generation annual effective wind hours annual average wind power density
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