Optimal radiant flux selection for multi-channel light-emitting diodes for spectrum-tunable lighting

Hu, N-C; Feng, Y-C; Wu, Chun‐Chieh; Hsiao, S-L

doi:10.1177/1477153513491129

Cited by 14 publications

(7 citation statements)

References 15 publications

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“…As multi-primary systems became more common, researchers addressed solutions such as matching standard illuminants. A general solution applied to a 12-LED multi-primary system was used to compute max-flux solutions with colorimetric values matching several standard illuminants [13]. Bringing together many aspects of these research approaches, a computational toolbox was described that allows multi-primary optimizations with different constraints [14].…”

Section: Introductionmentioning

confidence: 99%

Characterization and control of a multi-primary LED light lab

Murdoch

2017

Opt. Express

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A new light lab facility has been commissioned at Rochester Institute of Technology with the research goal of studying human visual adaptation under temporally dynamic lighting. The lab uses five-channel LED luminaires with 16 bits of addressable depth per channel, addressed via DMX. Based on spectral measurements, a very accurate multi-primary additive color model has been built that can be used to provide "colorimetric plus" multi-primary channel intensity solutions optimized for spectral accuracy, color fidelity, color gamut, or other attributes. Several spectral tuning and multi-primary solutions are compared, for which accuracy results and IES TM-30-15 color rendition measures are shown.

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Section: Introductionmentioning

confidence: 99%

Characterization and control of a multi-primary LED light lab

Murdoch

2017

Opt. Express

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“…, 6 Ohno 7 and Hu et al. 8 used simulation programs based on spectral data and various search methods to achieve an optimal solution or satisfy the constraints. Zukauskas et al.…”

Section: Introductionmentioning

confidence: 99%

An optimisation toolbox for multi-colour LED lighting

Afshari

Moynihan

Mishra

2016

Lighting Research & Technology

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This paper introduces a software toolbox designed for the optimisation of white light generation using multiple light-emitting diode (LED) channels. The toolbox solves two separate types of multi-colour optimisation problems. These are the multi-channel mixing and the channel choice problems. In the multi-channel mixing problem, it is assumed that the available LEDs are pre-determined and fixed. The toolbox obtains the individual channel intensities that solve a constrained optimisation problem based on the mixed output light. It provides the user with the flexibility to choose an arbitrary formulation for the optimisation problem as well as various mathematical metrics to represent the different properties of the output light including colour rendering, power efficiency and colour accuracy. For the channel choice problem, the toolbox solves for the number and type of used LED channels as well as the intensity of individual channels to assist in optimal choice of deployed channels for luminaire manufacturing applications. This paper describes the graphical user interface and the back-end formulation of the optimisation problem and presents experimental results obtained by utilising the toolbox in a full-size conference room with 5-channel LED luminaires.

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“…This research has attracted more attention recently. [1][2][3][4] Several kinds of lamps have been used as light sources to simulate sunlight, such as halogen lamps and gas discharge lamps.…”

Section: Introductionmentioning

confidence: 99%

Solar spectrum matching using monochromatic LEDs

Jing-hui

Cao

et al. 2016

Lighting Research & Technology

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The possibility of a spectrally tunable solar-like light source is drawing attention with the development of LEDs. We researched the market of high-power, monochromatic LEDs and established a database with 103 kinds of LED by a new model. We used the database to match the solar spectrum in the wavelength range 380-780 nm. The optimal combination maximising the fit to the solar spectral curve was obtained. The trade-off relationship between the selection of LEDs and the fit was investigated in detail. The results show that the optimal combination contains 34 types of LED with a maximum correlation index R 2 of 88.67%. The value of R 2 reduces to 85.06% when the number of LED types is reduced to 20, but the R 2 value decreases sharply if the number of LED types is decreased to 16, with a R 2 of 79.97%.

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Optimal radiant flux selection for multi-channel light-emitting diodes for spectrum-tunable lighting

Cited by 14 publications

References 15 publications

Characterization and control of a multi-primary LED light lab

Characterization and control of a multi-primary LED light lab

An optimisation toolbox for multi-colour LED lighting

Solar spectrum matching using monochromatic LEDs

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