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Utilizing Reanalysis and Synthesis Datasets in Wind Resource Characterization for Large-Scale Wind Integration

机译:利用重新分析和综合数据集进行风能资源表征进行大规模风能集成

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As wind plants become a more substantial portion of the generation resource, the ability of and manner in which this new fleet of generation supports meeting the power system load in a given area must be quantified in order to ensure security of supply. This paper describes the manner in which a reanalysis dataset-the National Aeronautics and Space Administration (NASA) Modern Era Retrospective-Analysis for Research and Applications (MERRA) dataset-was utilized in conjunction with the National Renewable Energy Laboratory (NREL) Eastern Wind Integration Dataset in order to perform an estimation of the interannual variability in wind power production as related to the capacity value of the investigated potential wind plants. Also described in the paper is a comparison of the MERRA data with publicly available wind data collected by the University of Massachusetts Wind Energy Center (UMass WEC).
机译:随着风力发电厂成为发电资源中更重要的一部分,必须量化这种新型发电机队在给定区域内满足电力系统负荷的能力和方式,以确保供电安全。本文介绍了与国家可再生能源实验室(NREL)东部风电结合使用再分析数据集的方式-美国国家航空航天局(NASA)现代时代回顾性研究和应用分析(MERRA)数据集。为了对与所研究的潜在风力发电厂的容量值相关的风力发电量的年际变化进行估算,需要使用数据集。本文还描述了MERRA数据与马萨诸塞州大学风能中心(UMass WEC)收集的公共风能数据的比较。

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