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Assessment of onshore wind energy potential under different geographical climate conditions in China

机译:中国不同地理气候条件下陆上风能潜力评估

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Wind resource in China is abundant due to its vast land mass and long coastline. Based on wind speed and direction records from wind measurement towers at six onshore sites with different geographical climate conditions in China, statistical assessment of wind characteristics and wind energy potential at height of 70 m corresponding to the hub heights of multi-megawatt wind turbines is presented and discussed in this paper. First of all, the Weibull distribution function is verified to be a reliable model for wind speed prediction and the moment method is proved to be an accurate approach for estimation of the Weibull parameters at all the sites. Moreover, the variations of mean wind speed, the Weibull parameters and wind power density at the six sites are investigated in terms of seasonal, monthly and diurnal time scales. Finally, annual energy outputs at the six sites are determined by taking a commercial wind turbine as an example to evaluate the economic feasibility of wind energy development. The results of this study indicate that the six sites in North China, Northeast China, Central China, coastal regions in East China and Southeast China are in rich wind energy areas which are suitable for wind energy utilization. In particular, among the six sites, Tongliao in North China is the most promising location for wind energy development with the maximum annual energy output of 10.33 GWh. The objective of this study is to provide useful information for wind energy development and an effective approach for wind energy potential assessment. (C) 2018 Elsevier Ltd. All rights reserved.
机译:中国的风能资源丰富,因为它地域辽阔,海岸线漫长。基于中国六个地理条件不同的陆上站点的测风塔的风速和风向记录,对与兆瓦级风轮机轮毂高度相对应的70 m高度的风能和风能潜力进行了统计评估并在本文中进行了讨论。首先,证明了威布尔分布函数是风速预测的可靠模型,并且矩量法被证明是估计所有地点威布尔参数的准确方法。此外,还根据季节,月度和昼夜时间尺度研究了六个地点的平均风速,威布尔参数和风能密度的变化。最后,以商用风力发电机为例,确定六个地点的年能源输出,以评估风能开发的经济可行性。研究结果表明,华北,东北,华中,华东和东南沿海六个地区位于风能丰富的地区,适合风能利用。特别是在这六个地点中,华北通辽是风能发展最有前途的地区,最大年发电量为10.33 GWh。这项研究的目的是为风能发展提供有用的信息,并为风能潜力评估提供有效的方法。 (C)2018 Elsevier Ltd.保留所有权利。

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