Design Optimization of a High Power LED Matrix Luminaire
Jose Luiz F. Barbosa,
Dan Simon and
Wesley P. Calixto
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Jose Luiz F. Barbosa: Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias, Goiania, GO 74055-110, Brazil
Dan Simon: Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44115, USA
Wesley P. Calixto: Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias, Goiania, GO 74055-110, Brazil
Energies, 2017, vol. 10, issue 5, 1-18
Abstract:
This work presents a methodology for optimizing the layout and geometry of an m × 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 ? C. However, the best uniformity on a target plane was found by the heuristic algorithm.
Keywords: high power (HP) light emitting diode (LED); LED luminaire; optimization; illuminance distribution; thermal heat dissipation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:5:p:639-:d:97656
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