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Melanopic Limits of Metamer Spectral Optimisation in Multi-Channel Smart Lighting Systems

Zandi, Babak ; Eissfeldt, Adrian ; Herzog, Alexander ; Khanh, Tran Quoc (2021):
Melanopic Limits of Metamer Spectral Optimisation in Multi-Channel Smart Lighting Systems. (Publisher's Version)
In: Energies, 14 (3), MDPI, e-ISSN 1996-1073,
DOI: 10.26083/tuprints-00019310,

Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

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Item Type: Article
Origin: Secondary publication via sponsored Golden Open Access
Status: Publisher's Version
Title: Melanopic Limits of Metamer Spectral Optimisation in Multi-Channel Smart Lighting Systems
Language: English

Modern indoor lighting faces the challenge of finding an appropriate balance between energy consumption, legal requirements, visual performance, and the circadian effectiveness of a spectrum. Multi-channel LED luminaires have the option of keeping image-forming metrics steady while varying the melanopic radiance through metamer spectra for non-visual purposes. Here, we propose the theoretical concept of an automated smart lighting system that is designed to satisfy the user’s visual preference through neural networks while triggering the non-visual pathway via metamers. To quantify the melanopic limits of metamers at a steady chromaticity point, we have used 561 chromaticity coordinates along the Planckian locus (2700 K to 7443 K, ±Duv 0 to 0.048) as optimisation targets and generated the spectra by using a 6-channel, 8-channel, and 11-channel LED combination at three different luminance levels. We have found that in a best-case scenario, the melanopic radiance can be varied up to 65% while keeping the chromaticity coordinates constant (Δu′v′≤7.05×10⁻⁵) by using metamer spectra. The highest melanopic metamer contrast can be reached near the Planckian locus between 3292 and 4717 K within a Duv range of −0.009 to 0.006. Additionally, we publish over 1.2 million optimised spectra generated by multichannel LED luminaires as an open-source dataset along with this work.

Journal or Publication Title: Energies
Volume of the journal: 14
Issue Number: 3
Publisher: MDPI
Collation: 16 Seiten
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
Divisions: 18 Department of Electrical Engineering and Information Technology > Light Technology (from Oct. 2021 renamed "Adaptive Lighting Systems and Visual Processing")
Date Deposited: 19 Aug 2021 13:34
Last Modified: 19 Aug 2021 13:34
DOI: 10.26083/tuprints-00019310
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-193104
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/19310
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