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Technical and economic assessment of wind power potential of Nooriabad, Pakistan

机译:巴基斯坦诺里亚巴德风力发电潜力的技术和经济评估

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Background Pakistan is a developing nation and heavily spends on the development of conventional power plants to meet the national energy demand. The objective of this paper is to investigate wind power potential of site using wind speed, wind direction, and other meteorological data collected over a period of 1?year. This type of detailed investigation provides information of wind characteristics of potential sites and helps in selecting suitable wind turbine. Methods The site-specific air density, wind shear, wind power density, annual energy yield, and capacity factors have been calculated at 30 and 50?m above the ground level (AGL). The Weibull parameters have been calculated using empirical (EM), maximum likelihood (MLM), modified maximum likelihood (MMLM), energy pattern (EPFM), and graphical (GM) methods to determine the other dependent parameters. The accuracies of these methods are determined using correlation coefficient ( R _(2)) and root mean square error ( RMSE ) values. At last, the wind energy economic analysis has been carried out at 30- and 50-m heights. Results The annual mean wind speeds were found to be 5.233and 6.55?m/s at 30- and 50-m heights, respectively, with corresponding standard deviations of 2.295 and 2.176. All methods fitted very well with the measured wind speed data except GM model. The frequency of wind speed observed that Weibull distribution gave better fitting results than Rayleigh distribution at wind site. The mean wind power densities were found to be 169.4 and 416.7?W/m_(2)at 30- and 50-m heights. The economic analysis showed that at Nooriabad site in Pakistan, the wind energy can be produced at US$0.02189/kWh at a hub height of 50?m. Conclusions The results showed that the site has potential to install utility wind turbines to generate energy at the lowest cost per kilowatt-hour at height of 50?m.
机译:背景技术巴基斯坦是一个发展中国家,为了满足国家的能源需求,大量投资于常规电厂的开发。本文的目的是使用风速,风向和其他在1年内收集的气象数据来调查站点的风能潜力。这种类型的详细调查可提供有关潜在地点的风力特征的信息,并有助于选择合适的风力涡轮机。方法在地面(AGL)上方30和50?m处计算了特定地点的空气密度,风切变,风能密度,年发电量和容量因子。威布尔参数已使用经验(EM),最大似然(MLM),修正最大似然(MMLM),能量模式(EPFM)和图形(GM)方法进行计算,以确定其他相关参数。这些方法的精度是使用相关系数(R _(2))和均方根误差(RMSE)值确定的。最后,在30和50 m的高度进行了风能经济分析。结果在30和50 m的高度处,年平均风速分别为5.233和6.55?m / s,相应的标准差为2.295和2.176。除GM模型外,所有方法都非常适合测得的风速数据。风速频率表明,威布尔分布比风场处的瑞利分布具有更好的拟合结果。在30和50 m的高度处发现平均风能密度为169.4和416.7?W / m_(2)。经济分析表明,在巴基斯坦Nooriabad站点,轮毂高度为50?m时,风能的发电成本为0.02189美元/千瓦时。结论结果表明,该站点有可能安装公用风力涡轮机,以在50?m的高度以每千瓦时最低的成本发电。

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