Research Article | OPEN ACCESS
Spectral Irradiance Estimation of Light Emitting Diode Solar Simulator Based on Genetic Algorithm
1Doaa M. Atia, 1Hanaa T. El- Madany, 1Aref Eliwa, 1Ahmed Samir, 1Mohamed Zahran, 2Khaled El-Metwally and 2Abdelmomen Mahgoub
1Electronics Research Institute, Cairo, 12622
2Faculty of Engineering, Cairo University, Cairo, Egypt
Research Journal of Applied Sciences, Engineering and Technology 2018 6:227-235
Received: January 18, 2018 | Accepted: February 21, 2018 | Published: June 15, 2018
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.
Keywords:
Genetic algorithm, LED, solar simulator, spectral match, spectral ratio,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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