首页> 外文期刊>Research journal of applied science, engineering and technology >Spectral Irradiance Estimation of Light Emitting Diode Solar Simulator Based on Genetic Algorithm
【24h】

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

机译:基于遗传算法的发光二极管太阳模拟器光谱辐照度估计

获取原文
           

摘要

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.
机译:这项研究旨在实现与AM1.5太阳光谱(从400 nm至1100 nm)的光谱匹配。由于LED在市场上的广泛应用,因此选择LED来实现这一目标。从紫外线到可见光再到红外线,LED的波长范围很广。光谱不匹配会显着增加测量不确定度。提出了仅基于LED作为光源的太阳能模拟器照明子系统设计。使用传统方法很难选择所需的LED组合以匹配AM 1.5。遗传算法(GA)解决了这个复杂的优化问题,以获得400至1100 nm范围内不同LED的最佳组合。此外,已经计算出光谱匹配和光谱比。结果证明,随着LED数据输入数量的变化,太阳能模拟器的分类也会发生变化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号