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A Fast All-Sky Radiation Model for Solar Applications with Narrowband Irradiances on Tilted Surfaces (FARMS-NIT): Part II. The Cloudy-Sky ModelThe Fast All-sky Radiation Model for Solar applications with Narrowband Irradiances on Tilted surfaces (FARMSNIT) reported in Part I of this study is enhanced to include the requirements for cloudy-sky conditions. Surface radiances in 2002 narrow-wavelength bands from 0.28 to 4.0 μm are analytically computed by solving the radiative transfer equation for five independent photon paths accounting for clear-sky absorption, Rayleigh scattering, and cloud absorption and scattering. The Simple Model of the Atmospheric Radiative Transfer of Sunshine (SMARTS) is used to provide the optical thickness of the clear-sky atmosphere. Unlike Part I, which approximates the computation of aerosol scattering using the single-scattering phase function, the cloud transmittance and reflectance are efficiently retrieved from a comprehensive look-up table pre-computed by a 32-stream DIScrete Ordinates Radiative Transfer (DISORT) model for possible cloud conditions as well as solar and viewing geometries. A resolution analysis is performed to assess the optimal balance between the computational efficiency and accuracy in the development of the look-up table. Model simulations by DISORT and TMYSPEC are used to evaluate the performance of FARMS-NIT under cloudy-sky conditions. Compared to DISORT, FARMS-NIT yields 2–3% uncertainties on average, but it substantially reduces the computational time because of the independent computation of cloud properties and the implementation of the look-up table. In contrast to TMYSPEC, which uses successive steps to empirically compute plane-of-array (POA) irradiances and spectral irradiances, FARMS-NIT directly solves spectral radiances from the radiative transfer equation, which profoundly increases the accuracy in surface irradiances, especially over inclined photovoltaics (PV) panels.





Document ID
20190032182
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Xie, Yu
(National Renewable Energy Lab. (NREL) Golden, CO, United States)
Sengupta, Manajit
(National Renewable Energy Lab. (NREL) Golden, CO, United States)
Wang, Chenxi
(Maryland Univ. Baltimore County (UMBC) Baltimore, MD, United States)
Date Acquired
October 21, 2019
Publication Date
July 1, 2019
Publication Information
Publication: Solar Energy
Publisher: Elsevier
Volume: 188
ISSN: 0038-092X
e-ISSN: 1471-1257
Subject Category
Geosciences (General)
Report/Patent Number
GSFC-E-DAA-TN74046
Report Number: GSFC-E-DAA-TN74046
ISSN: 0038-092X
E-ISSN: 1471-1257
Funding Number(s)
CONTRACT_GRANT: NNX15AT34A
Distribution Limits
Public
Copyright
Other

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