Monte carlo analysis of multicolour LED light engine

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

Monte carlo analysis of multicolour LED light engine

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

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	Proceedings of 28th CIE Session 2015
Number of pages	10
Publication date	2015
Article number	OP60 526
ISBN (Print)	978-3-902842-55-8
Publication status	Published - 2015
Event	28th Session of the International Commission on Illumination - Manchester, United Kingdom Duration: 29 Jun 2015 → 4 Jul 2015 Conference number: 28

Conference

Conference	28th Session of the International Commission on Illumination
Number	28
Country	United Kingdom
City	Manchester
Period	29/06/2015 → 04/07/2015

Keywords

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

Fingerprint Dive into the research topics of 'Monte carlo analysis of multicolour LED light engine'. Together they form a unique fingerprint.

1 Finished

Light engine V8 - a green revolution for colored light
Dam-Hansen, C., Ramanujam, P. S., Hanson, S. G., Pedersen, H. C., Jensen, O. B., Plesner, P., Brockmann, T., Poulsen, C., Flensburg, H., Thorseth, A. & Chakrabarti, M.
Innovationsfonden
01/09/2011 → 30/06/2014
Project: Research

2 Conference presentations

Monte Carlo Analysis of multicolor LED light engine: Proceedings of 28th CIE Session, Manchester, UK
Maumita Chakrabarti (Speaker)
3 Jul 2015
Activity: Talks and presentations › Conference presentations
Goniometric Characterization of LED Based Greenhouse Lighting
Anders Thorseth (Speaker)
29 Jun 2015
Activity: Talks and presentations › Conference presentations

Cite this

@inproceedings{aaee6a42bb684ab5aca8af8e8f3683b6,

title = "Monte carlo analysis of multicolour LED light engine",

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.",

keywords = "Solid state lighting, Multi-colour LEDs, Light quality, Light stability, Uncertainty budget, Monte Carlo simulation, Colour sensor, Product testing",

author = "Maumita Chakrabarti and Anders Thorseth and J{\o}rgen Jepsen and Carsten Dam-Hansen",

year = "2015",

language = "English",

isbn = "978-3-902842-55-8",

booktitle = "Proceedings of 28th CIE Session 2015",

note = "28th Session of the International Commission on Illumination, CIE 2015 ; Conference date: 29-06-2015 Through 04-07-2015",

}

TY - GEN

T1 - Monte carlo analysis of multicolour LED light engine

AU - Chakrabarti, Maumita

AU - Thorseth, Anders

AU - Jepsen, Jørgen

AU - Dam-Hansen, Carsten

N1 - Conference code: 28

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Solid state lighting

KW - Multi-colour LEDs

KW - Light quality

KW - Light stability

KW - Uncertainty budget

KW - Monte Carlo simulation

KW - Colour sensor

KW - Product testing

M3 - Article in proceedings

SN - 978-3-902842-55-8

BT - Proceedings of 28th CIE Session 2015

T2 - 28th Session of the International Commission on Illumination

Y2 - 29 June 2015 through 4 July 2015

ER -

Monte carlo analysis of multicolour LED light engine

Abstract

Conference

Keywords

Light engine V8 - a green revolution for colored light

Monte Carlo Analysis of multicolor LED light engine: Proceedings of 28th CIE Session, Manchester, UK

Goniometric Characterization of LED Based Greenhouse Lighting

Cite this