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

Author

Listed:
  • Babak Zandi

    (Laboratory of Lighting Technology, Department of Electrical Engineering and Information Technology, Technical University of Darmstadt, D-64289 Darmstadt, Germany)

  • Adrian Eissfeldt

    (Laboratory of Lighting Technology, Department of Electrical Engineering and Information Technology, Technical University of Darmstadt, D-64289 Darmstadt, Germany)

  • Alexander Herzog

    (Laboratory of Lighting Technology, Department of Electrical Engineering and Information Technology, Technical University of Darmstadt, D-64289 Darmstadt, Germany)

  • Tran Quoc Khanh

    (Laboratory of Lighting Technology, Department of Electrical Engineering and Information Technology, Technical University of Darmstadt, D-64289 Darmstadt, Germany)

Abstract

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 ( Δ u ′ 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.

Suggested Citation

  • Babak Zandi & Adrian Eissfeldt & Alexander Herzog & Tran Quoc Khanh, 2021. "Melanopic Limits of Metamer Spectral Optimisation in Multi-Channel Smart Lighting Systems," Energies, MDPI, vol. 14(3), pages 1-16, January.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:527-:d:483886
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    References listed on IDEAS

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    1. Dennis M. Dacey & Hsi-Wen Liao & Beth B. Peterson & Farrel R. Robinson & Vivianne C. Smith & Joel Pokorny & King-Wai Yau & Paul D. Gamlin, 2005. "Melanopsin-expressing ganglion cells in primate retina signal colour and irradiance and project to the LGN," Nature, Nature, vol. 433(7027), pages 749-754, February.
    2. Michael Tri H. Do & Shin H. Kang & Tian Xue & Haining Zhong & Hsi-Wen Liao & Dwight E. Bergles & King-Wai Yau, 2009. "Photon capture and signalling by melanopsin retinal ganglion cells," Nature, Nature, vol. 457(7227), pages 281-287, January.
    3. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    4. Beccali, M. & Bonomolo, M. & Ciulla, G. & Lo Brano, V., 2018. "Assessment of indoor illuminance and study on best photosensors' position for design and commissioning of Daylight Linked Control systems. A new method based on artificial neural networks," Energy, Elsevier, vol. 154(C), pages 466-476.
    5. Tara A. LeGates & Cara M. Altimus & Hui Wang & Hey-Kyoung Lee & Sunggu Yang & Haiqing Zhao & Alfredo Kirkwood & E. Todd Weber & Samer Hattar, 2012. "Aberrant light directly impairs mood and learning through melanopsin-expressing neurons," Nature, Nature, vol. 491(7425), pages 594-598, November.
    6. Atanu Sengupta & Sanjoy De, 2020. "Review of Literature," India Studies in Business and Economics, in: Assessing Performance of Banks in India Fifty Years After Nationalization, chapter 0, pages 15-30, Springer.
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