Evaluation of the PV Resource Dataset in Central and North America: Preprint

Xie, Yu; Sengupta, Manajit

Title: Evaluation of the PV Resource Dataset in Central and North America: Preprint

Full Record
Other Related Research

Abstract

A recent effort from the National Renewable Energy Laboratory (NREL) has led to a new radiative transfer model, Fast All-sky Radiation Model for Solar applications with Narrowband Irradiances on Tilted surfaces (FARMS-NIT), to efficiently compute plane-of-array (POA) irradiance. This model has been implemented by the National Solar Radiation Data Base (NSRDB) to provide photovoltaic (PV) resource over Central and North America in both narrow- and broad wavelength bands. This study conducts a comprehensive evaluation of the PV resource dataset using surface-based observations in various climate zones. The results demonstrate the PV resource has an excellent agreement with the cloudy-sky observations from thermopiles and reference cells.

Authors:

Xie, Yu;

Publication Date:: 2020-09-29

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

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

OSTI Identifier:: 1677436

Report Number(s):: NREL/CP-5D00-77790
MainId:30705;UUID:2d172d59-a94e-4cf5-8349-ca63557c84d0;MainAdminID:18621

DOE Contract Number:: DE-AC36-08GO28308

Resource Type:: Conference

Resource Relation:: Conference: Presented at the 37th European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC 2020), 7-11 September 2020

Country of Publication:: United States

Language:: English

Subject:: 41 EE - Solar Energy Technologies Office (EE-4S); solar radiation; POA irradiance; NSRDB

Citation Formats


                    Xie, Yu, and Sengupta, Manajit. Evaluation of the PV Resource Dataset in Central and North America: Preprint.  United States: N. p., 2020. 
        Web.

Copy to clipboard


                    Xie, Yu, & Sengupta, Manajit. Evaluation of the PV Resource Dataset in Central and North America: Preprint.  United States.

Copy to clipboard


                    Xie, Yu, and Sengupta, Manajit. 2020.  
        "Evaluation of the PV Resource Dataset in Central and North America: Preprint".  United States.  https://www.osti.gov/servlets/purl/1677436.

Copy to clipboard


                    
@article{osti_1677436,

  title        = {Evaluation of the PV Resource Dataset in Central and North America: Preprint},

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

  abstractNote = {A recent effort from the National Renewable Energy Laboratory (NREL) has led to a new radiative transfer model, Fast All-sky Radiation Model for Solar applications with Narrowband Irradiances on Tilted surfaces (FARMS-NIT), to efficiently compute plane-of-array (POA) irradiance. This model has been implemented by the National Solar Radiation Data Base (NSRDB) to provide photovoltaic (PV) resource over Central and North America in both narrow- and broad wavelength bands. This study conducts a comprehensive evaluation of the PV resource dataset using surface-based observations in various climate zones. The results demonstrate the PV resource has an excellent agreement with the cloudy-sky observations from thermopiles and reference cells.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1677436},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2020},

  month        = {9}

}

Copy to clipboard

Conference:

View Conference

Other availability

Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:

Export Metadata

Save to My Library

Similar records in OSTI.GOV collections:

An Evaluation of the Spectral Irradiance Data from the NSRDB

Technical Report Xie, Yu; Habte, Aron; Sengupta, Manajit; ...

A recent effort by the National Renewable Energy Laboratory (NREL) has led to a new radiative transfer model, the Fast All-sky Radiation Model for Solar applications with Narrowband Irradiances on Tilted surfaces (FARMS-NIT), to efficiently compute spectral irradiances in the plane-of-array (POA). This model has been implemented in the National Solar Radiation Data Base (NSRDB) to provide photovoltaic (PV) resource in both narrowband and broadband wavelengths. This study conducts an evaluation of the spectral irradiances from the PV Resource dataset using surface-based observations at NREL’s Solar Radiation Research Laboratory (SRRL) and University of Oregon (UO). The results demonstrate that themore »« less
https://doi.org/10.2172/1820103

Full Text Available
Assessing the Performance of the Fast All-sky Radiation Model for Solar Applications with Narrowband Irradiances on Tilted Surfaces (FARMS-NIT): Preprint

Conference Xie, Yu; Sengupta, Manajit

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 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 Typical Meteorological Year 3 sites and compared with the simulation by TMYSPEC. Our results indicate that FARMS-NIT leads to approximately 5% greater spectral irradiances compared tomore »« less
Full Text Available
Assessing the Performance of the Fast All-Sky Radiation Model for Solar Applications with Narrowband Irradiances on Tilted Surfaces (FARMS-NIT)

Conference Xie, Yu; Sengupta, Manajit

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 differencemore »« less
https://doi.org/10.1109/PVSC.2018.8547495
A Fast All-sky Radiation Model for Solar applications with Narrowband Irradiances on Tilted surfaces (FARMS-NIT): Part II. The cloudy-sky model

Journal Article Xie, Yu; Sengupta, Manajit; Wang, Chenxi - Solar Energy

The Fast All-sky Radiation Model for Solar applications with Narrowband Irradiances on Tilted surfaces (FARMS-NIT) reported in Part I of this report is enhanced to include the requirements for cloudy-sky conditions. Surface radiances in 2002 narrow-wavelength bands from 0.28 to 4.0 um 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 show the optical thickness of the clear-sky atmosphere. Unlike Part I, which approximates the computation of aerosol scattering usingmore »« less
Cited by 1
https://doi.org/10.1016/j.solener.2019.06.058

Full Text Available
Surface albedo and reflectance: Review of definitions, angular and spectral effects, and intercomparison of major data sources in support of advanced solar irradiance modeling over the Americas

Journal Article Gueymard, Christian; Lara-Fanego, Vicente; Sengupta, Manajit; ... - Solar Energy

This study defines albedo and reflectance in the context of solar applications. It examines the main sources of surface albedo data that can be used to help solar irradiance modeling efforts, such as undertaken by the National Renewable Energy Laboratory (NREL) over the Americas, for instance, per the National Solar Radiation Database (NSRDB). The MODIS-based albedo database, as used as input to derive historical time series of solar irradiance in the current version of the NSRDB, is compared to other sources of global gridded data over the Americas in general and some specific areas in particular. The particular role ofmore »« less
https://doi.org/10.1016/j.solener.2019.02.040

Similar Records