Improving the Irradiance Data Measured by Silicon-Based Sensors
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 measur...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/10/2766 |
| _version_ | 1797534474160832512 |
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| author | Riyad Mubarak Holger Schilke Gunther Seckmeyer |
| author_facet | Riyad Mubarak Holger Schilke Gunther Seckmeyer |
| author_sort | Riyad Mubarak |
| collection | DOAJ |
| description | 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<sup>2</sup> (6.5%) to 15 kWh/m<sup>2</sup> (1.5%) by the correction. The presented correction method shows promising results for a further improvement in the accuracy of silicon-based sensors. |
| first_indexed | 2024-03-10T11:31:02Z |
| format | Article |
| id | doaj.art-c966d4e8a911442b89841e2fa2205447 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T11:31:02Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-c966d4e8a911442b89841e2fa22054472023-11-21T19:18:05ZengMDPI AGEnergies1996-10732021-05-011410276610.3390/en14102766Improving the Irradiance Data Measured by Silicon-Based SensorsRiyad Mubarak0Holger Schilke1Gunther Seckmeyer2Institute for Meteorology and Climatology, Leibniz Universität Hannover, Herrenhäuser Straße 2, 30419 Hannover, GermanyInstitute for Meteorology and Climatology, Leibniz Universität Hannover, Herrenhäuser Straße 2, 30419 Hannover, GermanyInstitute for Meteorology and Climatology, Leibniz Universität Hannover, Herrenhäuser Straße 2, 30419 Hannover, GermanySilicon-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<sup>2</sup> (6.5%) to 15 kWh/m<sup>2</sup> (1.5%) by the correction. The presented correction method shows promising results for a further improvement in the accuracy of silicon-based sensors.https://www.mdpi.com/1996-1073/14/10/2766incident solar radiationpyranometersilicon sensorssolar reference cell |
| spellingShingle | Riyad Mubarak Holger Schilke Gunther Seckmeyer Improving the Irradiance Data Measured by Silicon-Based Sensors Energies incident solar radiation pyranometer silicon sensors solar reference cell |
| title | Improving the Irradiance Data Measured by Silicon-Based Sensors |
| title_full | Improving the Irradiance Data Measured by Silicon-Based Sensors |
| title_fullStr | Improving the Irradiance Data Measured by Silicon-Based Sensors |
| title_full_unstemmed | Improving the Irradiance Data Measured by Silicon-Based Sensors |
| title_short | Improving the Irradiance Data Measured by Silicon-Based Sensors |
| title_sort | improving the irradiance data measured by silicon based sensors |
| topic | incident solar radiation pyranometer silicon sensors solar reference cell |
| url | https://www.mdpi.com/1996-1073/14/10/2766 |
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