Assessing the Performance of the Fast All-Sky Radiation Model for Solar Applications with Narrowband Irradiances on Tilted Surfaces (FARMS-NIT)

doi:https://doi.org/10.1109/PVSC.2018.8547495

Title: Assessing the Performance of the Fast All-Sky Radiation Model for Solar Applications with Narrowband Irradiances on Tilted Surfaces (FARMS-NIT)

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Abstract

This study evaluates the performance of a new radiative transfer model, Fast All-sky Radiation Model for Solar Applications with Narrowband Irradiances on Tilted surfaces (FARMS-NIT), that efficiently computes spectral irradiances on inclined photovoltaic (PV) panels. FARMS-NIT numerically solves the spatial distribution of solar radiation in 2,002 wavelength bands, and thereby accurately provides plane-of-array (POA) irradiances by integrating radiances over inclined surfaces. The FARMS-NIT for clear-and cloudy-sky conditions are used to compute POA irradiances for TMY3 sites and compared with the simulation by TMYSPEC. Our results indicate that FARMS-NIT leads to ~ 5% greater spectral irradiances compared to TMYSPEC. The difference in POA irradiance with a latitude tilt angle is slightly larger than global horizonal irradiance (GHI).

Authors:

Xie, Yu ^[1];

^[1]

National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Publication Date:: 2018-11-29

Research Org.:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)

OSTI Identifier:: 1508490

Report Number(s):: NREL/CP-5D00-73756

DOE Contract Number:: AC36-08GO28308

Resource Type:: Conference

Resource Relation:: Conference: Presented at the 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC), 10-15 June 2018, Waikoloa Village, Hawaii

Country of Publication:: United States

Language:: English

Subject:: 14 SOLAR ENERGY; 47 OTHER INSTRUMENTATION; computational modeling; clouds; atmospheric modeling; land surface; surface waves; numerical models; solar radiation

Citation Formats


                    Xie, Yu, and Sengupta, Manajit. Assessing the Performance of the Fast All-Sky Radiation Model for Solar Applications with Narrowband Irradiances on Tilted Surfaces (FARMS-NIT).  United States: N. p., 2018. 
        Web.  doi:10.1109/PVSC.2018.8547495.

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                    Xie, Yu, & Sengupta, Manajit. Assessing the Performance of the Fast All-Sky Radiation Model for Solar Applications with Narrowband Irradiances on Tilted Surfaces (FARMS-NIT).  United States.  https://doi.org/10.1109/PVSC.2018.8547495

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                    Xie, Yu, and Sengupta, Manajit. Thu .  
        "Assessing the Performance of the Fast All-Sky Radiation Model for Solar Applications with Narrowband Irradiances on Tilted Surfaces (FARMS-NIT)".  United States.  https://doi.org/10.1109/PVSC.2018.8547495.

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@article{osti_1508490,

  title        = {Assessing the Performance of the Fast All-Sky Radiation Model for Solar Applications with Narrowband Irradiances on Tilted Surfaces (FARMS-NIT)},

  author       = {Xie, Yu and Sengupta, Manajit},

  abstractNote = {This study evaluates the performance of a new radiative transfer model, Fast All-sky Radiation Model for Solar Applications with Narrowband Irradiances on Tilted surfaces (FARMS-NIT), that efficiently computes spectral irradiances on inclined photovoltaic (PV) panels. FARMS-NIT numerically solves the spatial distribution of solar radiation in 2,002 wavelength bands, and thereby accurately provides plane-of-array (POA) irradiances by integrating radiances over inclined surfaces. The FARMS-NIT for clear-and cloudy-sky conditions are used to compute POA irradiances for TMY3 sites and compared with the simulation by TMYSPEC. Our results indicate that FARMS-NIT leads to ~ 5% greater spectral irradiances compared to TMYSPEC. The difference in POA irradiance with a latitude tilt angle is slightly larger than global horizonal irradiance (GHI).},

  doi          = {10.1109/PVSC.2018.8547495},

  url          = {https://www.osti.gov/biblio/1508490},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2018},

  month        = {11}

}

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Conference:

https://doi.org/10.1109/PVSC.2018.8547495

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