Assessment of the National Solar Radiation Database (NSRDB 1998-2016)

A. Habte, M. Sengupta, A. Lopez, Yu Xie, Galen Maclaurin
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引用次数: 6

Abstract

Applying traceable and standardized uncertainty characterization for solar resource data provides confidence in the dataset for use by financiers, developers and site operators of solar energy conversion systems, and ultimately reduces deployment cost. Performance guarantees of solar energy conversion systems are based on the available solar resource from measurement stations or modeled dataset such as the National Solar Radiation Database (NSRDB). In this study we implemented a comprehensive uncertainty determination approach [1]. The study also analyzed how the NSRDB (19982016) – Version 3 compares with the previous NSRDB (19982015) – Version 2. The study also attempted to estimate the uncertainty differences derived by comparing theNSRDB data to the seven measurement stations from the National Oceanic and Atmospheric Administration’s Surface Radiation Budget Network (SURFRAD) and University of Oregon Solar Radiation Monitoring Laboratory (SRML). The evaluation was conducted for hourly values, daily totals, monthly mean daily totals, and annual mean monthly mean daily totals and demonstrate the qualityof the new datasets currently available from the NSRDB.
国家太阳辐射数据库(NSRDB 1998-2016)评估
对太阳能资源数据进行可追溯和标准化的不确定性表征,为太阳能转换系统的金融家、开发商和现场运营商提供了数据集的可信度,并最终降低了部署成本。太阳能转换系统的性能保证是基于来自测量站的可用太阳能资源或模拟数据集,如国家太阳辐射数据库(NSRDB)。在本研究中,我们实施了一种综合不确定度确定方法[1]。该研究还分析了NSRDB(1998 - 2016) -版本3与之前的NSRDB(1998 - 2015) -版本2的比较。该研究还试图通过将ensrdb数据与美国国家海洋和大气管理局的地表辐射预算网络(SURFRAD)和俄勒冈大学太阳辐射监测实验室(SRML)的七个测量站的数据进行比较,来估计不确定性差异。对小时值、日总量、月平均日总量和年平均月平均日总量进行了评估,并证明了目前从NSRDB获得的新数据集的质量。
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