首页> 外文期刊>Applied Energy >Wind Power Analysis And Site Matching Of Wind Turbine Generators In Kingdom Of Bahrain
【24h】

Wind Power Analysis And Site Matching Of Wind Turbine Generators In Kingdom Of Bahrain

机译:巴林王国风力发电机的风力发电分析和选址

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, the hourly measured wind speed data for years 2003-2005 at 10 m, 30 m and 60 m height for Kingdom of Bahrain have been statically analyzed to determine the potential of wind power generation. Extrapolation of the 10 m data, using the Power Law, has been used to determine the wind data at heights of 30 m and 60 m. Weibull distribution parameters have been estimated and compared annually and on monthly bases using two methods; the graphical method and the another method, designated in this paper as approximated method, which depends on the standard deviation and average wind speed. The maximum power density for 10 m, 30 m and 60 m heights were found to be 164.33 W/m~2, 624.17 W/m~2 and 1171.18 W/m~2 in February, respectively while the minimum power density were 65.33 W/m~2, 244.33 W/m~2 and 454.53 W/m~2 in October, respectively. The average annual wind power density was found to be 114.54 W/m~2 for 10 m height, 433.29 W/m~2 for 30 m height and 816.70 W/m~2 for 60 m height. Weibull probability function, using Weibull parameters estimated from the approximated method, has shown to provide more accurate prediction of average wind speed and average power density than the graphical method. In addition, the site matching of wind turbine generators at 30 m and 60 m heights has been investigated by estimating the capacity factors of various commercially available wind turbines generators. The monthly and annual variation of capacity factors have been studied to ensure optimum selection of wind turbine generators.
机译:本文静态分析了巴林王国2003-2005年每小时测量的风速数据,分别为10 m,30 m和60 m,以确定风力发电的潜力。使用幂定律对10 m数据进行外推,以确定30 m和60 m高度的风数据。威布尔分布参数已通过两种方法每年和每月估算和比较。图形方法和本文中称为近似方法的另一种方法,取决于标准偏差和平均风速。在2月,10 m,30 m和60 m高度的最大功率密度分别为164.33 W / m〜2、624.17 W / m〜2和1171.18 W / m〜2,而最小功率密度为65.33 W / m〜2,十月分别为244.33 W / m〜2和454.53 W / m〜2。 10 m高度的年平均风能密度为114.54 W / m〜2,30 m高度的年平均风能密度为433.29 W / m〜2,60 m高度的年平均风能密度为816.70 W / m〜2。威布尔概率函数使用从近似方法估算的威布尔参数,已显示出比图形方法更准确地预测平均风速和平均功率密度。另外,已经通过估计各种商业上可获得的风力涡轮发电机的容量因子来研究30m和60m高度的风力涡轮发电机的位置匹配。已经研究了容量因子的每月和每年变化,以确保最佳选择风力涡轮发电机。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号