DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998–2017)

Abstract

The study assesses the long-term spatial and temporal solar resource variability in America using the 20-year National Renewable Energy Laboratory's (NREL's) National Solar Radiation Database (NSRDB). Specifically, the coefficient of variation (COV) is used to analyze the spatial and temporal (interannual and seasonal) variability. Further, both spatial and temporal long-term variability are analyzed using the Köppen-Geiger climate classification. The temporal variability is found that, on average, the continental United States (CONUS) COV reaches up to 5% for global horizontal irradiance (GHI) and 10% for direct normal irradiance (DNI), and that the NSRDB domain's COV is roughly twice that of CONUS. For the seasonal variability analysis, the winter months are found to exhibit higher COV than the other seasons. In particular, December exhibits the highest variability, reaching on average 30% for DNI and 20% for GHI over various areas. On the other hand, the summer months demonstrate significantly lower variability, reaching only less than 20% for DNI and 10% for GHI, on average. Similarly, the spatial variability is analyzed by comparing each pixel to its neighbors. The long-term spatial variability is found to increase with the number of neighboring pixels being considered, which is equivalent to an increase in distance (withinmore » a 100-km x 100-km square grid). As expected, the DNI spatial variability is higher than that of GHI. Moreover, the annual solar irradiance anomalies are found to reach ±25% for both GHI and DNI (and even exceed those value in some instances) during each year of the 20-year period.« less

Authors:
 [1]; ORCiD logo [1];  [2];  [3];  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. Solar Consulting Services, Colebrook, NH (United States)
  3. US Department of Energy (USDOE), Washington DC (United States). Solar Energy Technologies Office
Publication Date:
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:
1665826
Alternate Identifier(s):
OSTI ID: 1809915
Report Number(s):
NREL/JA-5D00-76353
Journal ID: ISSN 1364-0321; MainId:6575;UUID:9025dd5f-be63-ea11-9c31-ac162d87dfe5;MainAdminID:17420
Grant/Contract Number:  
AC36-08GO28308; EE0007673
Resource Type:
Accepted Manuscript
Journal Name:
Renewable and Sustainable Energy Reviews
Additional Journal Information:
Journal Volume: 134; Journal ID: ISSN 1364-0321
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; long-term spatial; National Solar Radiation Database; NSRDB; solar resource; temporal

Citation Formats

Habte, Aron, Sengupta, Manajit, Gueymard, Christian, Golnas, Anastasios, and Xie, Yu. Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998–2017). United States: N. p., 2020. Web. doi:10.1016/j.rser.2020.110285.
Habte, Aron, Sengupta, Manajit, Gueymard, Christian, Golnas, Anastasios, & Xie, Yu. Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998–2017). United States. https://doi.org/10.1016/j.rser.2020.110285
Habte, Aron, Sengupta, Manajit, Gueymard, Christian, Golnas, Anastasios, and Xie, Yu. Tue . "Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998–2017)". United States. https://doi.org/10.1016/j.rser.2020.110285. https://www.osti.gov/servlets/purl/1665826.
@article{osti_1665826,
title = {Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998–2017)},
author = {Habte, Aron and Sengupta, Manajit and Gueymard, Christian and Golnas, Anastasios and Xie, Yu},
abstractNote = {The study assesses the long-term spatial and temporal solar resource variability in America using the 20-year National Renewable Energy Laboratory's (NREL's) National Solar Radiation Database (NSRDB). Specifically, the coefficient of variation (COV) is used to analyze the spatial and temporal (interannual and seasonal) variability. Further, both spatial and temporal long-term variability are analyzed using the Köppen-Geiger climate classification. The temporal variability is found that, on average, the continental United States (CONUS) COV reaches up to 5% for global horizontal irradiance (GHI) and 10% for direct normal irradiance (DNI), and that the NSRDB domain's COV is roughly twice that of CONUS. For the seasonal variability analysis, the winter months are found to exhibit higher COV than the other seasons. In particular, December exhibits the highest variability, reaching on average 30% for DNI and 20% for GHI over various areas. On the other hand, the summer months demonstrate significantly lower variability, reaching only less than 20% for DNI and 10% for GHI, on average. Similarly, the spatial variability is analyzed by comparing each pixel to its neighbors. The long-term spatial variability is found to increase with the number of neighboring pixels being considered, which is equivalent to an increase in distance (within a 100-km x 100-km square grid). As expected, the DNI spatial variability is higher than that of GHI. Moreover, the annual solar irradiance anomalies are found to reach ±25% for both GHI and DNI (and even exceed those value in some instances) during each year of the 20-year period.},
doi = {10.1016/j.rser.2020.110285},
journal = {Renewable and Sustainable Energy Reviews},
number = ,
volume = 134,
place = {United States},
year = {Tue Sep 08 00:00:00 EDT 2020},
month = {Tue Sep 08 00:00:00 EDT 2020}
}

Works referenced in this record:

The National Solar Radiation Data Base (NSRDB)
journal, June 2018


Relating solar resource and its variability to weather and climate across the northwestern United States
journal, November 2017


The impact of solar radiation variability and data discrepancies on the design of PV systems
journal, June 2004


Cloud-reflected radiation
journal, June 1990

  • Mccormick, P. G.; Suehrcke, H.
  • Nature, Vol. 345, Issue 6278
  • DOI: 10.1038/345773a0

On the spatial decorrelation of stochastic solar resource variability at long timescales
journal, July 2015


Comparative analysis of long-term solar resource and CSP production for bankability
journal, May 2016


A statistical characterization of the long-term solar resource: Towards risk assessment for solar power projects
journal, January 2016


Building a bankable solar radiation dataset
journal, August 2012


A bankable method of assessing the performance of a CPV plant
journal, April 2014


The influence of persistence and variability on the required solar radiation record length
journal, January 1982


Intermittency study of high frequency global solar radiation sequences under a tropical climate
journal, December 2013


Characterizing local high-frequency solar variability and its impact to distribution studies
journal, August 2015


A Wavelet-Based Variability Model (WVM) for Solar PV Power Plants
journal, April 2013

  • Lave, Matthew; Kleissl, Jan; Stein, Joshua S.
  • IEEE Transactions on Sustainable Energy, Vol. 4, Issue 2
  • DOI: 10.1109/TSTE.2012.2205716

Local short-term variability in solar irradiance
journal, January 2016

  • Lohmann, Gerald M.; Monahan, Adam H.; Heinemann, Detlev
  • Atmospheric Chemistry and Physics, Vol. 16, Issue 10
  • DOI: 10.5194/acp-16-6365-2016

Cloud enhancement of global horizontal irradiance in California and Hawaii
journal, June 2016


Performance assessment issues in utility-scale photovoltaics in warm and sunny climates
journal, January 2017

  • Ruther, Ricardo; Nascimento, Lucas Rafael do; Campos, Rafael Antunes
  • Renewable Energy and Environmental Sustainability, Vol. 2
  • DOI: 10.1051/rees/2017035

Rethinking solar resource assessments in the context of global dimming and brightening
journal, January 2014


Contrasting distributed and centralized photovoltaic system performance using regionally distributed pyranometers
journal, January 2018


On the Space–Time Scales of the Surface Solar Radiation Field
journal, January 1998


High resolution characterisation of solar variability for two sites in Eastern Canada
journal, November 2016


Spatiotemporal interpolation and forecast of irradiance data using Kriging
journal, December 2017


High-frequency irradiance fluctuations and geographic smoothing
journal, August 2012


Multiresolution analysis of the spatiotemporal variability in global radiation observed by a dense network of 99 pyranometers
journal, January 2017

  • Madhavan, Bomidi Lakshmi; Deneke, Hartwig; Witthuhn, Jonas
  • Atmospheric Chemistry and Physics, Vol. 17, Issue 5
  • DOI: 10.5194/acp-17-3317-2017

Applying the kriging method to predicting irradiance variability at a potential PV power plant
journal, February 2016


Implementation of a Semiphysical Model for Examining Solar Radiation in the Midwest
journal, September 1995


Estimating climatological variability of solar energy production
journal, December 2013


Interannual and spatial variability of solar radiation energy potential in Kenya using Meteosat satellite
journal, February 2018


Interannual Variability and Seasonal Predictability of Wind and Solar Resources
journal, July 2017


Long-term variability of solar direct and global radiation derived from ISCCP data and comparison with reanalysis data
journal, November 2006


Potential of solar electricity generation in the European Union member states and candidate countries
journal, October 2007


Quantifiers for the solar irradiance variability: A new perspective
journal, November 2018


The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)
journal, July 2017


Atypical variability in TMY-based power systems
journal, February 2020

  • Potter van Loon, A.; Chattopadhyay, D.; Bazilian, M.
  • Energy for Sustainable Development, Vol. 54
  • DOI: 10.1016/j.esd.2019.09.004

Local-Scale Variability of Daily Solar Radiation—San Diego County, California
journal, May 1986


World Map of the Köppen-Geiger climate classification updated [World Map of the Köppen-Geiger climate classification updated]
journal, July 2006


Methodology of Köppen-Geiger-Photovoltaic climate classification and implications to worldwide mapping of PV system performance
journal, October 2019


Parametric modeling: A simple and versatile route to solar irradiance
journal, May 2018


Energy Yield Limits for Single-Junction Solar Cells
journal, June 2018


Worldwide performance assessment of 75 global clear-sky irradiance models using Principal Component Analysis
journal, September 2019

  • Sun, Xixi; Bright, Jamie M.; Gueymard, Christian A.
  • Renewable and Sustainable Energy Reviews, Vol. 111
  • DOI: 10.1016/j.rser.2019.04.006

Vegetation-Radiation Relationships in Mountainous Terrain: Eucalypt-Dominated Vegetation in the Risdon Hills, Tasmania
journal, June 1980

  • Kirkpatrick, J. B.; Nunez, M.
  • Journal of Biogeography, Vol. 7, Issue 2
  • DOI: 10.2307/2844711