A New Model for Estimating the Diffuse Fraction of Solar Irradiance for Photovoltaic System Simulations

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Hofmann, Martin; Seckmeyer, Gunther: A New Model for Estimating the Diffuse Fraction of Solar Irradiance for Photovoltaic System Simulations. In: Energies 10 (2017), Nr. 2, 248. DOI: https://doi.org/10.3390/en10020248

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Sum total of downloads: 328

We present a new model for the calculation of the diffuse fraction of the global solar irradiance for solar system simulations. The importance of an accurate estimation of the horizontal diffuse irradiance is highlighted by findings that an inaccurately calculated diffuse irradiance can lead to significant over- or underestimations in the annual energy yield of a photovoltaic (PV) system by as much as 8%. Our model utilizes a time series of global irradiance in one-minute resolution and geographical information as input. The model is validated by measurement data of 28 geographically and climatologically diverse locations worldwide with one year of one-minute data each, taken from the Baseline Surface Radiation Network (BSRN). We show that on average the mean absolute deviation of the modelled and the measured diffuse irradiance is reduced from about 12% to about 6% compared to three reference models. The maximum deviation is less than 20%. In more than 80% of the test cases, the deviation is smaller 10%. The root mean squared error (RMSE) of the calculated diffuse fractions is reduced by about 18%.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 169 51.52%
2 image of flag of United States United States 34 10.37%
3 image of flag of Russian Federation Russian Federation 28 8.54%
4 image of flag of No geo information available No geo information available 12 3.66%
5 image of flag of France France 11 3.35%
6 image of flag of Ukraine Ukraine 10 3.05%
7 image of flag of China China 8 2.44%
8 image of flag of Netherlands Netherlands 6 1.83%
9 image of flag of Seychelles Seychelles 5 1.52%
10 image of flag of Canada Canada 4 1.22%
    other countries 41 12.50%

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