Improving the Irradiance Data Measured by Silicon-Based Sensors

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Mubarak, R.; Schilke, H.; Seckmeyer, G.: Improving the Irradiance Data Measured by Silicon-Based Sensors. In: Energies : open-access journal of related scientific research, technology development and studies in policy and management 14 (2021), Nr. 10, 2766. DOI: https://doi.org/10.3390/en14102766

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/11216

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Sum total of downloads: 62




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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/m2 (6.5%) to 15 kWh/m2 (1.5%) by the correction. The presented correction method shows promising results for a further improvement in the accuracy of silicon-based sensors.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2021
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 31 50.00%
2 image of flag of United States United States 9 14.52%
3 image of flag of China China 7 11.29%
4 image of flag of Vietnam Vietnam 2 3.23%
5 image of flag of Netherlands Netherlands 2 3.23%
6 image of flag of India India 2 3.23%
7 image of flag of Singapore Singapore 1 1.61%
8 image of flag of Romania Romania 1 1.61%
9 image of flag of Norway Norway 1 1.61%
10 image of flag of Algeria Algeria 1 1.61%
    other countries 5 8.06%

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