LED-Based Luminaire Color Shift Acceleration and Prediction

Book Chapter (2018)
Author(s)

Guangjun Lu (Beijing Research Center, TU Delft - Electronic Components, Technology and Materials, State Key Laboratory of Solid State Lighting)

Xuejun Fan (Lamar University, State Key Laboratory of Solid State Lighting)

Jiajie Fan (Hohai University, State Key Laboratory of Solid State Lighting, Beijing Research Center)

Guo Qi Zhang (Chinese Academy of Sciences, TU Delft - Electronic Components, Technology and Materials)

Contributor(s)

Willem Dirk van Driel – Editor (Philips Lighting Research, TU Delft - Electronic Components, Technology and Materials)

DOI related publication
https://doi.org/10.1007/978-3-319-58175-0_9
More Info
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Publication Year
2018
Language
English
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Pages (from-to)
201-219
Publisher
Springer
ISBN (print)
978-3-319-58174-3
ISBN (electronic)
978-3-319-58175-0
Downloads counter
314
Collections
Institutional Repository
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Abstract

Color stability is of major concern for LED-based products. Currently, much effort is done on lumen maintenance, and for color shift, no agreed method currently exists, be it from testing or from prediction side. To investigate the physics of color shift, we present experiments of each individual part failure of each individual part that are present in LED-based products. In order to develop a color shift prediction method, it is imperative to investigate the color shift contribution by each individual part. We present a new method to predict color shift on a system level, which we named the view factor approach. We compare this prediction method with experiments on luminaire level to conclude that we have taken satisfactory first steps in the field of color shift predictions for LED-based systems.

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