Genetic algorithms used for the optimization of light-emitting diodes and solar thermal collectors

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Résumé

We present a genetic algorithm (GA) we developed for the optimization of light-emitting diodes (LED) and solar thermal collectors. The surface of a LED can be covered by periodic structures whose geometrical and material parameters must be adjusted in order to maximize the extraction of light. The optimization of these parameters by the GA enabled us to get a light-extraction efficiency η of 11.0% from a GaN LED (for comparison, the flat material has a light-extraction efficiency η of only 3.7%). The solar thermal collector we considered consists of a waffle-shaped Al substrate with NiCrOx and SnO2 conformal coatings. We must in this case maximize the solar absorption α while minimizing the thermal emissivity ? in the infrared. A multi-objective genetic algorithm has to be implemented in this case in order to determine optimal geometrical parameters. The parameters we obtained using the multi-objective GA enable α~97.8% and ε~4.8%, which improves results achieved previously when considering a flat substrate. These two applications demonstrate the interest of genetic algorithms for addressing complex problems in physics.

langue originaleAnglais
titreProceedings of SPIE - The International Society for Optical Engineering
EditeurSPIE
Nombre de pages10
Volume9187
ISBN (imprimé)9781628412147
Les DOIs
étatPublié - 2014
EvénementThe Nature of Light: Light in Nature V - San Diego, États-Unis
Durée: 18 août 2014 → …

Une conférence

Une conférenceThe Nature of Light: Light in Nature V
PaysÉtats-Unis
La villeSan Diego
période18/08/14 → …

Empreinte digitale

Diode
genetic algorithms
accumulators
Light emitting diodes
light emitting diodes
Genetic algorithms
Genetic Algorithm
optimization
Multi-objective Genetic Algorithm
Optimization
Maximise
Substrate
Emissivity
Periodic Structures
Coating
Periodic structures
Substrates
Infrared
Absorption
emissivity

Citer ceci

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title = "Genetic algorithms used for the optimization of light-emitting diodes and solar thermal collectors",
abstract = "We present a genetic algorithm (GA) we developed for the optimization of light-emitting diodes (LED) and solar thermal collectors. The surface of a LED can be covered by periodic structures whose geometrical and material parameters must be adjusted in order to maximize the extraction of light. The optimization of these parameters by the GA enabled us to get a light-extraction efficiency η of 11.0{\%} from a GaN LED (for comparison, the flat material has a light-extraction efficiency η of only 3.7{\%}). The solar thermal collector we considered consists of a waffle-shaped Al substrate with NiCrOx and SnO2 conformal coatings. We must in this case maximize the solar absorption α while minimizing the thermal emissivity ? in the infrared. A multi-objective genetic algorithm has to be implemented in this case in order to determine optimal geometrical parameters. The parameters we obtained using the multi-objective GA enable α~97.8{\%} and ε~4.8{\%}, which improves results achieved previously when considering a flat substrate. These two applications demonstrate the interest of genetic algorithms for addressing complex problems in physics.",
keywords = "Al, Cermet, Gan, Genetic algorithm, Light-emitting diode, Optimization, Solar thermal collector",
author = "Alexandre Mayer and Annick Bay and Lucie Gaouyat and Delphine Nicolay and Timoteo Carletti and Olivier Deparis",
year = "2014",
doi = "10.1117/12.2060811",
language = "English",
isbn = "9781628412147",
volume = "9187",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",

}

Mayer, A, Bay, A, Gaouyat, L, Nicolay, D, Carletti, T & Deparis, O 2014, Genetic algorithms used for the optimization of light-emitting diodes and solar thermal collectors. Dans Proceedings of SPIE - The International Society for Optical Engineering. VOL. 9187, 918705, SPIE, The Nature of Light: Light in Nature V, San Diego, États-Unis, 18/08/14. https://doi.org/10.1117/12.2060811

Genetic algorithms used for the optimization of light-emitting diodes and solar thermal collectors. / Mayer, Alexandre; Bay, Annick; Gaouyat, Lucie; Nicolay, Delphine; Carletti, Timoteo; Deparis, Olivier.

Proceedings of SPIE - The International Society for Optical Engineering. Vol 9187 SPIE, 2014. 918705.

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférenceArticle dans les actes d'une conférence/un colloque

TY - GEN

T1 - Genetic algorithms used for the optimization of light-emitting diodes and solar thermal collectors

AU - Mayer, Alexandre

AU - Bay, Annick

AU - Gaouyat, Lucie

AU - Nicolay, Delphine

AU - Carletti, Timoteo

AU - Deparis, Olivier

PY - 2014

Y1 - 2014

N2 - We present a genetic algorithm (GA) we developed for the optimization of light-emitting diodes (LED) and solar thermal collectors. The surface of a LED can be covered by periodic structures whose geometrical and material parameters must be adjusted in order to maximize the extraction of light. The optimization of these parameters by the GA enabled us to get a light-extraction efficiency η of 11.0% from a GaN LED (for comparison, the flat material has a light-extraction efficiency η of only 3.7%). The solar thermal collector we considered consists of a waffle-shaped Al substrate with NiCrOx and SnO2 conformal coatings. We must in this case maximize the solar absorption α while minimizing the thermal emissivity ? in the infrared. A multi-objective genetic algorithm has to be implemented in this case in order to determine optimal geometrical parameters. The parameters we obtained using the multi-objective GA enable α~97.8% and ε~4.8%, which improves results achieved previously when considering a flat substrate. These two applications demonstrate the interest of genetic algorithms for addressing complex problems in physics.

AB - We present a genetic algorithm (GA) we developed for the optimization of light-emitting diodes (LED) and solar thermal collectors. The surface of a LED can be covered by periodic structures whose geometrical and material parameters must be adjusted in order to maximize the extraction of light. The optimization of these parameters by the GA enabled us to get a light-extraction efficiency η of 11.0% from a GaN LED (for comparison, the flat material has a light-extraction efficiency η of only 3.7%). The solar thermal collector we considered consists of a waffle-shaped Al substrate with NiCrOx and SnO2 conformal coatings. We must in this case maximize the solar absorption α while minimizing the thermal emissivity ? in the infrared. A multi-objective genetic algorithm has to be implemented in this case in order to determine optimal geometrical parameters. The parameters we obtained using the multi-objective GA enable α~97.8% and ε~4.8%, which improves results achieved previously when considering a flat substrate. These two applications demonstrate the interest of genetic algorithms for addressing complex problems in physics.

KW - Al

KW - Cermet

KW - Gan

KW - Genetic algorithm

KW - Light-emitting diode

KW - Optimization

KW - Solar thermal collector

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M3 - Conference contribution

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BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - SPIE

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