Abstract High-accuracy solar radiation data are needed in almost every solar energy project for bankability. Time series of solar irradiance components that spans decades can be supplied by satellite-derived irradiance or by reanalysis models, with very various types of uncertainty associated to the specific approaches taken and quality of boundary conditions information. In order to improve the reliability of these modeled datasets, comparison with ground measurements over a short period of time can be used for correcting some aspects, bias mainly, of the modeled data by using different methodologies; this procedure is known as site adaptation. Therefore, a benchmarking exercise that uses different site adaptation techniques was proposed within the Task 16 IEA-PVPS activities. In this work, over ten different site-adaptation techniques have been used for assessing the accuracy improvement, using ten different datasets covering both satellite-derived and reanalysis solar radiation data. The effectiveness of these methods is found not universal or spatially homogeneous, but in general, it can be stated that significant improvements can be achieved eventually in most sites and datasets.

中文翻译：

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模拟太阳辐射数据集的改进和场地适应技术的基准测试

摘要 几乎每个太阳能项目都需要高精度的太阳辐射数据以实现可融资性。可以通过卫星衍生的辐照度或再分析模型提供跨越数十年的太阳辐照度分量的时间序列，其具有与所采用的特定方法和边界条件信息的质量相关的各种类型的不确定性。为了提高这些建模数据集的可靠性，可以通过使用不同的方法，在短时间内与地面测量进行比较，以纠正建模数据的某些方面，主要是偏差；此过程称为站点适应。因此，在任务 16 IEA-PVPS 活动中提出了使用不同场地适应技术的基准测试练习。在这项工作中，使用十多种不同的数据集，涵盖卫星衍生和再分析太阳辐射数据，已使用十多种不同的场地适应技术来评估精度改进。发现这些方法的有效性不是普遍的或空间均匀的，但总的来说，可以说最终可以在大多数站点和数据集中实现显着改进。