Document Type
Article
Publication Date
5-2017
Publication Title
Energies
Abstract
This work presents a methodology for optimizing the layout and geometry of an m x n high power (HP) light emitting diode (LED) luminaire. Two simulators are used to analyze an LED luminaire model. The first simulator uses the finite element method (FEM) to analyze the thermal dissipation, and the second simulator uses the ray tracing method for lighting analysis. The thermal and lighting analysis of the luminaire model is validated with an error of less than 10%. The goal of the optimization process is to find a solution that satisfies both thermal dissipation and light efficiency. The optimization goal is to keep the LED temperature at an acceptable level while still obtaining uniform illumination on a target plane. Even though no optical accessories or active cooling systems are used in the model, the results demonstrate that it is possible to obtain satisfactory results even with a limited number of parameters. The optimization results show that it is possible to design luminaires with 4, 6 and up to 8 HP-LEDs, keeping the LED temperature at about 100 degrees C. However, the best uniformity on a target plane was found by the heuristic algorithm.
Repository Citation
Barbosa, Jose Luiz F.; Simon, Daniel J.; and Calixto, Wesley P., "Design Optimization of a High Power LED Matrix Luminaire" (2017). Electrical and Computer Engineering Faculty Publications. 424.
https://engagedscholarship.csuohio.edu/enece_facpub/424
Original Citation
Barbosa, J.L.F., Simon, D., and Calixto, W.P. (2017). Design Optimization of a High Power LED Matrix Luminaire. Energies 10, 639.
DOI
10.3390/en10050639
Version
Publisher's PDF
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume
10
Issue
5
Comments
The authors acknowledge the CAPES (Coordination for the Improvement of Higher Education Personnel) Foundation, Ministry of Education of Brazil, for financial support through scholarship Proc. No BEX 2256/14-2 and Federal Institute of Goias for financial support of the research developed.