Characterization, Modeling, and Optimization of Light-Emitting Diode Systems

Publication: ResearchPh.D. thesis – Annual report year: 2012

Standard

Characterization, Modeling, and Optimization of Light-Emitting Diode Systems. / Thorseth, Anders; Thomsen, Jan W. (Supervisor); Dam-Hansen, Carsten (Supervisor).

Kgs. Lyngby : Technical University of Denmark, 2011. 121 p.

Publication: ResearchPh.D. thesis – Annual report year: 2012

Harvard

Thorseth, A, Thomsen, JW & Dam-Hansen, C 2011, Characterization, Modeling, and Optimization of Light-Emitting Diode Systems. Ph.D. thesis, Technical University of Denmark, Kgs. Lyngby.

APA

Thorseth, A., Thomsen, J. W., & Dam-Hansen, C. (2011). Characterization, Modeling, and Optimization of Light-Emitting Diode Systems. Kgs. Lyngby: Technical University of Denmark.

CBE

Thorseth A, Thomsen JW, Dam-Hansen C 2011. Characterization, Modeling, and Optimization of Light-Emitting Diode Systems. Kgs. Lyngby: Technical University of Denmark. 121 p.

MLA

Vancouver

Thorseth A, Thomsen JW, Dam-Hansen C. Characterization, Modeling, and Optimization of Light-Emitting Diode Systems. Kgs. Lyngby: Technical University of Denmark, 2011. 121 p.

Author

Thorseth, Anders; Thomsen, Jan W. (Supervisor); Dam-Hansen, Carsten (Supervisor) / Characterization, Modeling, and Optimization of Light-Emitting Diode Systems.

Kgs. Lyngby : Technical University of Denmark, 2011. 121 p.

Publication: ResearchPh.D. thesis – Annual report year: 2012

Bibtex

@book{48b4fec423614a65bea76efc19745c2b,
title = "Characterization, Modeling, and Optimization of Light-Emitting Diode Systems",
publisher = "Technical University of Denmark",
author = "Anders Thorseth and Thomsen, {Jan W.} and Carsten Dam-Hansen",
year = "2011",

}

RIS

TY - BOOK

T1 - Characterization, Modeling, and Optimization of Light-Emitting Diode Systems

A1 - Thorseth,Anders

AU - Thorseth,Anders

A2 - Thomsen,Jan W.

A2 - Dam-Hansen,Carsten

ED - Thomsen,Jan W.

ED - Dam-Hansen,Carsten

PB - Technical University of Denmark

PY - 2011

Y1 - 2011

N2 - This thesis explores, characterization, modeling, and optimization of light-emitting diodes (LED) for general illumination. An automated setup has been developed for spectral radiometric characterization of LED components with precise control of the settings of forward current and operating temperature. The automated setup has been used to characterize commercial LED components with respect to multiple settings. It is shown that the droop in quantum efficiency can be approximated by a simple parabolic function. The investigated models of the spectral power distributions (SPD) from LEDs are the strictly empirical single and double Gaussian functions, and a semi empirical model using quasi Fermi levels and other basic solid state principles. The models are fitted to measured SPDs, using the free parameters. The result show a high correlation between the measured LED SPD and the tted models. When comparing the chromaticity of the measured SPD with tted models, the deviation is found to be larger than the lower limit of human color perception. A method has been developed to optimize multicolored cluster LED systems with respect to light quality, using multi objective optimization. The results are simulated SPDs similar to traditional light sources, and with high light quality. As part of this work the techniques have been applied in practical illumination applications. The presented examples are historical artifacts and illumination of plants to increase photosynthesis.

AB - This thesis explores, characterization, modeling, and optimization of light-emitting diodes (LED) for general illumination. An automated setup has been developed for spectral radiometric characterization of LED components with precise control of the settings of forward current and operating temperature. The automated setup has been used to characterize commercial LED components with respect to multiple settings. It is shown that the droop in quantum efficiency can be approximated by a simple parabolic function. The investigated models of the spectral power distributions (SPD) from LEDs are the strictly empirical single and double Gaussian functions, and a semi empirical model using quasi Fermi levels and other basic solid state principles. The models are fitted to measured SPDs, using the free parameters. The result show a high correlation between the measured LED SPD and the tted models. When comparing the chromaticity of the measured SPD with tted models, the deviation is found to be larger than the lower limit of human color perception. A method has been developed to optimize multicolored cluster LED systems with respect to light quality, using multi objective optimization. The results are simulated SPDs similar to traditional light sources, and with high light quality. As part of this work the techniques have been applied in practical illumination applications. The presented examples are historical artifacts and illumination of plants to increase photosynthesis.

BT - Characterization, Modeling, and Optimization of Light-Emitting Diode Systems

ER -