Monte carlo analysis of multicolour LED light engine

Maumita Chakrabarti, Anders Thorseth, Jørgen Jepsen, Carsten Dam-Hansen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    A new Monte Carlo simulation as a tool for analysing colour feedback systems is presented here to analyse the colour uncertainties and achievable stability in a multicolour dynamic LED system. The Monte Carlo analysis presented here is based on an experimental investigation of a multicolour LED light engine designed for white tuneable studio lighting. The measured sensitivities to the various factors influencing the colour uncertainty for similar system are incorporated. The method aims to provide uncertainties in the achievable chromaticity coordinates as output over the tuneable range, e.g. expressed in correlated colour temperature (CCT) and chromaticity distance from Planckian locus (Duv), and colour rendering indices (CRIs) for that dynamic system. Data for the uncertainty in chromaticity is analysed in the u', v' (Uniform Chromaticity Scale Diagram) for light output by comparing the variations in chromaticity differences with the “n – step u′ v′ circles” as defined in CIE TN001:2014.
    Original languageEnglish
    Title of host publicationProceedings of 28th CIE Session 2015
    Number of pages10
    Publication date2015
    Article numberOP60 526
    ISBN (Print)978-3-902842-55-8
    Publication statusPublished - 2015
    Event28th Session of the International Commission on Illumination - Manchester, United Kingdom
    Duration: 29 Jun 20154 Jul 2015
    Conference number: 28

    Conference

    Conference28th Session of the International Commission on Illumination
    Number28
    Country/TerritoryUnited Kingdom
    CityManchester
    Period29/06/201504/07/2015

    Keywords

    • Solid state lighting
    • Multi-colour LEDs
    • Light quality
    • Light stability
    • Uncertainty budget
    • Monte Carlo simulation
    • Colour sensor
    • Product testing

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