Performance evaluation of silicon-based irradiance sensors versus thermopile pyranometer

S Karki, H Ziar, M Korevaar, T Bergmans… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
S Karki, H Ziar, M Korevaar, T Bergmans, J Mes, O Isabella
IEEE Journal of Photovoltaics, 2020ieeexplore.ieee.org
There are several sensors available in the market to measure the plane-of-array irradiance
for photovoltaic applications. The prices of these sensors vary according to the design,
calibration procedure, and conducted characterization. In this article, two types of silicon-
based sensors with and without temperature correction capabilities are compared with a
high-accuracy thermopile pyranometer to check their performance. The obtained results
showed that silicon-based sensors deviate from the output of the pyranometers. The tested …
There are several sensors available in the market to measure the plane-of-array irradiance for photovoltaic applications. The prices of these sensors vary according to the design, calibration procedure, and conducted characterization. In this article, two types of silicon-based sensors with and without temperature correction capabilities are compared with a high-accuracy thermopile pyranometer to check their performance. The obtained results showed that silicon-based sensors deviate from the output of the pyranometers. The tested silicon-based pyranometers overestimate the irradiance with the median bias deviations of around 1.43% (with the average measured irradiance of 256 W/m 2 ). For temperature-corrected silicon pyranometer, the bias deviation is 0.07% with the deviation range of -6.5%-10% (with the average measured irradiance of 257 W/m 2 ). A working-class reference cell was also tested, resulting in a bias deviation of -1.74% and the deviation range of -13%-7% (with the average measured irradiance of 304 W/m 2 ). The effect of air mass on the performance of cost-effective sensors was additionally analyzed. Within the measurement time window, the result also showed that for the silicon-based sensors under tests, the effects of the environmental conditions have the following qualitative order of influence: angle of incidence > red-shift > temperature. The performance of silicon-based sensors also showed seasonal dependence, being more accurate during summertime and wintertime, respectively, for the silicon pyranometer and the working-class reference cell. Finally, using the statistical evaluation, simple linear correction functions are introduced for silicon-based sensors.
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