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Improving the Irradiance Data Measured by Silicon-Based Sensors

Author

Listed:
  • Riyad Mubarak

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

  • Holger Schilke

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

  • Gunther Seckmeyer

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

Abstract

Silicon-based sensors are widely used for monitoring solar irradiance, in particular, in the field of Photovoltaic (PV) applications. We present a method to correct the global horizontal irradiance measured by silicon-based sensors that reduces the difference to the standard thermopile sensor measurements. A major motivation to use silicon-based sensors for the measurements of irradiance is their lower cost. In addition, their response time is much lower, and their spectral response is much closer to that of the PV systems. The analysis of the differences is based on evaluating four parameters that influence the sensor measurements, namely the temperature, cosine error, spectral mismatch, and calibration factor. Based on the analysis, a correction model is applied to the silicon sensors measurements. The model separates measurements under a clear sky and cloudy sky by combining the clearness index and the solar zenith angle. By applying the correction model on the measurements of the silicon-based sensor, the differences between sensor readings have been reduced significantly. The relative root mean squared difference (rRMSD) between the daily solar irradiation measured by both sensors decreased from 10.6% to 5.4% after applying the correction model, while relative mean absolute difference (rMAD) decreased from 7.4% to 2.5%. The difference in total annual irradiation decreased from 70 KWh/m 2 (6.5%) to 15 kWh/m 2 (1.5%) by the correction. The presented correction method shows promising results for a further improvement in the accuracy of silicon-based sensors.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2766-:d:552768
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    References listed on IDEAS

    as
    1. 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.
    2. Ana Maria Gracia Amillo & Thomas Huld & Paraskevi Vourlioti & Richard Müller & Matthew Norton, 2015. "Application of Satellite-Based Spectrally-Resolved Solar Radiation Data to PV Performance Studies," Energies, MDPI, vol. 8(5), pages 1-34, April.
    3. 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.
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