A Physics-Based DNI Model Assessing All-Sky Circumsolar Radiation

By investigating the long-term observations at Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP), we find that the routinely used Beer-Bouguer-Lambert law and the models that empirically separate direct normal irradiance (DNI) from measurements of global horizontal irradiance (GHI)...

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Vydáno v:iScience Ročník 23; číslo 3; s. 100893
Hlavní autoři: Xie, Yu, Sengupta, Manajit, Liu, Yangang, Long, Hai, Min, Qilong, Liu, Weijia, Habte, Aron
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Inc 27.03.2020
Elsevier
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ISSN:2589-0042, 2589-0042
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Shrnutí:By investigating the long-term observations at Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP), we find that the routinely used Beer-Bouguer-Lambert law and the models that empirically separate direct normal irradiance (DNI) from measurements of global horizontal irradiance (GHI) have dramatic and unexpected bias in computing cloudy-sky DNI. This bias has led to tremendous uncertainty in estimating the electricity generation by solar energy conversion systems. To effectively reduce the bias, this study proposes a physical solution of all-sky DNI that computes solar radiation in the infinite-narrow beam along the sun direction and the scattered radiation falls within the circumsolar region. In sharp contrast with the other DNI models, this method uses a finite-surface integration algorithm that computes solar radiation in differential solid angles and efficiently infers its contribution to a surface perpendicular to the sun direction. The new model substantially reduces the uncertainty in DNI by a factor of 2–7. [Display omitted] •A dramatic and unexpected bias is found in the routine computation of DNI•A physics-based model is developed to integrate circumsolar radiances•DNI computation comprises scattered radiation in circumsolar region•This new model leads to a remarkable improvement in assessing DNI Environmental Science; Energy Resources; Radiation Measurement
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ISSN:2589-0042
2589-0042
DOI:10.1016/j.isci.2020.100893