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Wind Resource Assessment in the Southern Plains of the US: Characterizing Large-Scale Atmospheric Circulation with Cluster Analysis

机译:美国南部平原的风资源评估:通过聚类分析表征大规模大气环流

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摘要

A new approach for wind resource assessment in the Southern Plains of the US is proposed here. This new approach establishes the baseline frequency of occurrence of large-scale atmospheric circulations (weather regimes) by cluster analysis, using 38-yr NCEP-NCAR reanalysis daily data from 1979–2016. These baseline frequency values can help quantify the departure of wind resource from the long-term mean for a given month. In specific, two scenarios featuring favorable and unfavorable wind energy productions in the Callahan Divide Energy Center of Texas, US, are evaluated by the new approach of wind resource assessment in details. For the favorable scenario, it is found that the jet stream is configured to enhance the southwesterly flow over the Southern Plains, with a frequency of occurrence being nearly three times of the baseline frequency, whereas for the unfavorable scenario, the jet stream is found to suppress the low-level jet over the Southern Plains, with a frequency of occurrence being more than twice the baseline frequency. Hence, the new approach is proven to provide an objective and more efficient way in conducting wind resource assessment.
机译:本文提出了一种在美国南部平原进行风能资源评估的新方法。通过使用1979-2016年的38年NCEP-NCAR再分析每日数据,这种新方法通过聚类分析确定了发生大规模大气环流(天气状况)的基准频率。这些基准频率值可以帮助量化给定月份的风能与长期平均值的偏离。具体而言,通过新的风资源评估方法,对美国得克萨斯州卡拉汉分水岭能源中心风能生产有利和不利的两种情况进行了详细评估。对于有利的情况,发现射流配置为增强南部平原上的西南风,其发生频率几乎是基线频率的三倍,而对于不利的情况,发现射流具有以下作用:抑制南部平原上的低空急流,其发生频率是基线频率的两倍以上。因此,新方法被证明可以为进行风资源评估提供一种客观,更有效的方法。

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