Spectral Irradiance Estimation of Light Emitting Diode Solar Simulator Based on Genetic Algorithm

  • Atia D
  • El-Madany H
  • Eliwa A
  • et al.
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Abstract

This study aims to achieve a close spectral match to the AM1.5 solar spectrum from 400 nm to 1100 nm. LEDs are selected to achieve this target due to its wide utilization in markets; a vast range of LED wavelengths is available from UV through visible to IR. The spectral mismatch can increase the measurement uncertainty significantly. Solar simulator lighting subsystem design based on LED as a light source only is presented. Selecting the required LEDs combination to match the AM 1.5 using traditional methods is very difficult. This complex optimization problem has been solved by Genetic Algorithm (GA) to obtain the optimal combination of different LEDs in the range of 400 to 1100 nm. Moreover, spectral match and spectral ratio have been calculated. The results proved that, as the number of LED data entry varying, the solar simulator classification changes.

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APA

Atia, D. M., El-Madany, H. T., Eliwa, A., Samir, A., Zahran, M., El-Metwally, K., & Mahgoub, A. (2018). Spectral Irradiance Estimation of Light Emitting Diode Solar Simulator Based on Genetic Algorithm. Research Journal of Applied Sciences, Engineering and Technology, 15(6), 227–235. https://doi.org/10.19026/rjaset.15.5862

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