LED Solar Spectrum Computer Simulation Based on Non-dominated Sorting Genetic Algorithm

Abstract

The solar computer simulation technology has been extensively applied in the fields of polymer curing test, solar cell detection and calibration, and satellite heat balance test, etc. The non-negative least-squares solution of the overdetermined equations based on the non-dominated sorting genetic algorithm (NSGA) to optimize the monochromatic light-emitting diode (LED) matching light source combination, replace some monochromatic LED with white LED to simulate the solar spectrum, and discuss several LED lights with different peak wavelengths that can be replaced by white LED. The simulation results suggest that in the range of 300 ∼ 1100 nm, as the monochromatic LED types replaced by white LED increase, the total number of LEDs used is reduced, and the spectral match decreases. When LEDs with three different peak wavelengths are replaced, the correlation index in the fitting based on the algorithm is 0.9035, where the number of LEDs can be reduced by 15.6%, and the simulation spectrum is basically consistent with the target one. The proposed method has a small spectral mismatch and can be used to distinguish two absorption valleys of the standard solar spectrum AM1.5 accurately.

Evaluation of Steady-State and Time-Resolved Fluorescence Spectroscopy as a Method for Assessing the Impact of Photo-Oxidation on Refined Soybean Oils

“…The authors' report is consistent with what was observed in the present study, considering that commercial LED lamps, such as those used in this experiment, emit throughout the visible region with a maximum emission at ~450 nm [13]. Thus, this pigment was degraded in samples T and R stored in bottles that offer less protection from light in this region (~450 nm).…”

“…However, Light-Emitting Diode (LED) is currently the predominant technology due to its lower energy consumption [12]. White LED lamps emit throughout the visible spectrum with maximum emissions at ~450 nm and between 500 and 650 nm [13]. Chlorophyll, the primary photosensitizing substance in vegetable oils, absorbs light in these regions [14].…”

Emission spectrum modeling of white LEDs light source with using Gaussian function

“…Liu has reported a Gaussian distribution model for LED Solar Spectrum Computer Simulation. This non-negative least-squares solution of the overdetermined equations based on the non-dominated sorting genetic algorithm (NSGA) to optimize the monochromatic light-emitting diode (LED) matching light source combination, replace some monochromatic LED with white LED to simulate the solar spectrum [10]. Bachouch et al reported a methodological approach for simulating luminary output radiation, which is achieved by mixing light-emitting diodes (LEDs) to match any plant absorption spectrum.…”