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Comparison of Modelled and Measured Tilted Solar Irradiance for Photovoltaic Applications

Author

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  • Riyad Mubarak

    (Institute for Meteorology and Climatology, Leibniz Universität Hannover, Herrenhäuser Straße 2, 30419 Hannover, Germany)

  • Martin Hofmann

    (Institute for Meteorology and Climatology, Leibniz Universität Hannover, Herrenhäuser Straße 2, 30419 Hannover, Germany
    Valentin Software GmbH, Stralauer Platz 34, 10243 Berlin, Germany)

  • Stefan Riechelmann

    (Physikalisch-Technische Bundesanstalt (PTB), Bundesallee 100, 38116 Braunschweig, Germany)

  • Gunther Seckmeyer

    (Institute for Meteorology and Climatology, Leibniz Universität Hannover, Herrenhäuser Straße 2, 30419 Hannover, Germany)

Abstract

This work assesses the performance of five transposition models that estimate the global and diffuse solar irradiance on tilted planes based on the global horizontal irradiance. The modelled tilted irradiance values are compared to measured one-minute values from pyranometers and silicon sensors tilted at different angles at Hannover (Germany) and NREL (Golden, CO, USA). It can be recognized that the deviations of the model of Liu and Jordan, Klucher and Perez from the measurements increases as the tilt angle increases and as the sensors are oriented away from the south direction, where they receive lower direct radiation than south-oriented surfaces. Accordingly, the vertical E, W and N planes show the highest deviation. Best results are found by the models from Hay and Davies and Reindl, when horizontal pyranometer measurements and a constant albedo value of 0.2 are used. The relative root mean squared difference (rRMSD) of the anisotropic models does not exceed 11% for south orientation and low inclination angles ( β = 10–60°), but reaches up to 28.9% at vertical planes. For sunny locations such as Golden, the Perez model provides the best estimates of global tilted irradiance for south-facing surfaces. The relative mean absolute difference (rMAD) of the Perez model at NREL ranges from 4.2% for 40° tilt to 8.7% for 90° tilt angle, when horizontal pyranometer measurements and a measured albedo value are used; the use of measured albedo values instead of a constant value of 0.2 leads to a reduction of the deviation to 3.9% and 6.0%, respectively. The use of higher albedo values leads to a significant increase of rMAD. We also investigated the uncertainty resulting from using horizontal pyranometer measurements, in combination with constant albedo values, to estimate the incident irradiance on tilted photovoltaic (PV) modules. We found that these uncertainties are small or negligible.

Suggested Citation

  • Riyad Mubarak & Martin Hofmann & Stefan Riechelmann & Gunther Seckmeyer, 2017. "Comparison of Modelled and Measured Tilted Solar Irradiance for Photovoltaic Applications," Energies, MDPI, vol. 10(11), pages 1-18, October.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1688-:d:116385
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    References listed on IDEAS

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    1. Badescu, V., 2002. "3D isotropic approximation for solar diffuse irradiance on tilted surfaces," Renewable Energy, Elsevier, vol. 26(2), pages 221-233.
    2. Martin Hofmann & Gunther Seckmeyer, 2017. "A New Model for Estimating the Diffuse Fraction of Solar Irradiance for Photovoltaic System Simulations," Energies, MDPI, vol. 10(2), pages 1-21, February.
    3. Mehleri, E.D. & Zervas, P.L. & Sarimveis, H. & Palyvos, J.A. & Markatos, N.C., 2010. "A new neural network model for evaluating the performance of various hourly slope irradiation models: Implementation for the region of Athens," Renewable Energy, Elsevier, vol. 35(7), pages 1357-1362.
    4. Pandey, Chanchal Kumar & Katiyar, A.K., 2011. "A comparative study of solar irradiation models on various inclined surfaces for India," Applied Energy, Elsevier, vol. 88(4), pages 1455-1459, April.
    5. Li, Danny H.W. & Lam, Joseph C. & Lau, Chris C.S., 2002. "A new approach for predicting vertical global solar irradiance," Renewable Energy, Elsevier, vol. 25(4), pages 591-606.
    6. Wattan, Rungrat & Janjai, Serm, 2016. "An investigation of the performance of 14 models for estimating hourly diffuse irradiation on inclined surfaces at tropical sites," Renewable Energy, Elsevier, vol. 93(C), pages 667-674.
    7. Demain, Colienne & Journée, Michel & Bertrand, Cédric, 2013. "Evaluation of different models to estimate the global solar radiation on inclined surfaces," Renewable Energy, Elsevier, vol. 50(C), pages 710-721.
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    3. Riyad Mubarak & Eduardo Weide Luiz & Gunther Seckmeyer, 2019. "Why PV Modules Should Preferably No Longer Be Oriented to the South in the Near Future," Energies, MDPI, vol. 12(23), pages 1-16, November.
    4. Riyad Mubarak & Holger Schilke & Gunther Seckmeyer, 2021. "Improving the Irradiance Data Measured by Silicon-Based Sensors," Energies, MDPI, vol. 14(10), pages 1-19, May.
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    8. Zhiyong Tian & Bengt Perers & Simon Furbo & Jianhua Fan & Jie Deng & Janne Dragsted, 2018. "A Comprehensive Approach for Modelling Horizontal Diffuse Radiation, Direct Normal Irradiance and Total Tilted Solar Radiation Based on Global Radiation under Danish Climate Conditions," Energies, MDPI, vol. 11(5), pages 1-19, May.
    9. Smith, Duncan E. & Hughes, Michael D. & Borca-Tasciuc, Diana-Andra, 2022. "Towards a standard approach for annual energy production of concentrator-based building-integrated photovoltaics," Renewable Energy, Elsevier, vol. 186(C), pages 469-485.
    10. Chen, X.M. & Li, Y. & Zhao, B.Y. & Wang, R.Z., 2020. "Are the optimum angles of photovoltaic systems so important?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).

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