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Global Validation of REST2 Incorporated Into an Operational DNI and GHI Irradiance Model

机译:全球验证剩下的依次纳入操作DNI和GHI辐照模型

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Two categories of models can be used to predict direct normal irradiance (DNI) for solar concentration or tracking photovoltaic applications. The first type are broadband radiative models that predict DNI under clear skies from atmospheric data. The second are methods used to extract DNI from global horizontal irradiance (GHI). While many validation studies have been done on the latter the former have only been evaluated in localized studies of a dozen or fewer sites and those mostly in the USA [1,2]. We propose to do a global validation of the REST2 direct irradiance model at 100+ locations world wide against both GHI and DNI.
机译:两类模型可用于预测太阳能浓度或跟踪光伏应用的直接正常辐照度(DNI)。第一种类型是宽带辐射模型,可在晴间数据的透明天空下预测DNI。第二种是用于从全局水平辐照度(GHI)中提取DNI的方法。虽然后者已经在后者上完成了许多验证研究,但前者只会在十几个或更少地点的局部研究中进行评估,而且主要在美国[1,2]。我们建议在全球范围内全球验证ARY2直接辐照模型,以抵御GHI和DNI。

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