Human Centric Lighting

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Human Centric Lighting Daylight Related Metrics as prerequisite for assessment of light quality and for lighting design Dieter Lang OSRAM GmbH

Light Affects Humans Light is Vision Brightness Information Shape, Color Images Constrast Perception Light is Biology Beyond Vision Attention Hormones Inner Clock Alertness Fatigue Circadian Rhythm

Human Centric Lighting Pathways of the Light in the Brain visual non visual Rhythm Brain Functions Rhythm of Sleeping Hormone Melatonin immediate 30 sec 15 min Vandewalle & Dijk 2009

Breakthrough Publication in 2014 Definition of photoreceptor sensitivity functions for five receptors Trends in Neuroscience Jan. 2014, Vol. 37. No. 1

Trends in Neuroscience Jan. 2014, Vol. 37. No. 1 New approach by a scientific agreement on action spectra for non visual effects of light on humans

Biological Effects are Mediated by Five Photoreceptors Melanopsin: new Cones: known Rods: known Trends in Neuroscience Jan. 2014, Vol. 37. No. 1

Action Spectra of Retinal Photoreceptors BS mel V GM RL Action spectra normalized to maximum of 1 ( as usual in photometry)

Action Spectra of Retinal Photoreceptors BS mel V GM RL Non visual effects are focused on melanopsin photoreceptor

Action Spectrumfor Melanopsin Sensitivity (2014)

Spectral Weighting Functions Melanopic and photopic weighted spectral power distribution s mel ( ) V( ) melanopic weighting photopic weighting

Spectral Weighting Functions Melanopic and photopic weighted spectral power distribution s mel ( ) V( ) 100 rhodopic 80 60 40 20 0 melanopic weighting photopic weighting 10 cyanopic 100 chloropic 100 erythropic 5 50 50 Human Centric Lighting Daylight Related 0Metrics Dieter Lang 0 0

Melanopic Irradiance melanopic irradiance integral of the melanopic weighted spectral irradiance Melanopic Illuminant irradiance X e,mel [W/m 2 ] at 1000 lx Std. illuminant A (CCT= 2856 K) 0,657 Fluorescent type CIE F10 (FL, CCT= 5000 K) 0,906 Fluorescent type CIE F12 (FL, CCT= 3000 K) 0,536 Std. illuminant D65 (daylight CCT= 6500 K) 1,327 illuminant P (candle light) 0,354 LED, white (CCT= 3075 K) 0,567 LED, white (CCT= 5400 K) 1,044 LED, white (CCT= 6535 K) 1,061 High CCT Fluorescent (CCT= 8000 K) 1,269 Melanopic efficacy of luminous radiation [mw/lm] 0,657 0,906 0,536 1,327 0,354 0,567 1,044 1,061 1,269

Melanopic DaylightEquivalent Illuminance Illuminance [lx] E V,S (e.g. 500 lx) S Melanopic Irradiance [W/m 2 ] E e,mel,s (e.g. 0,31 W/m 2 ) = Melanopic Irradiance [W/m 2 ] E e,mel,d65 (e.g. 0,31 W/m2 ) D65 Illuminance [lx] E V,D65 (e.g. 239 lx) Melanopic Daylight Equivalent Illuminance [lx] E V,mel,D65,S (e.g. 239 lx)

Melanopic photometric data Examples for melanopic daylight equivalent illuminance E v,mel,d65 Based on a (photopic) illuminance E V of 1000 lx Illuminant Photopic illuminance E V Melanopic daylightequivalent illuminance E v,mel,d65 Conversion factor m v,mel,d65 = E v,mel,d65 / E V Melanopic irradiance Std. illuminant A (CCT= 2856 K) 1000 lx 496 lx 0,496 0,658 W/m 2 Fluorescent type CIE F10 (FL, CCT= 5000 K) 1000 lx 683 lx 0,683 0,906 W/m 2 Fluorescent type CIE F12 (FL, CCT= 3000 K) 1000 lx 404 lx 0,404 0,535 W/m 2 Std. illuminant D65 (daylight CCT= 6500 K) 1000 lx 1000 lx 1,000 1,326 W/m 2 illuminant P (candle light) 1000 lx 267 lx 0,267 0,355 W/m 2 LED, white (CCT= 3075 K) 1000 lx 427 lx 0,427 0,553 W/m 2 LED, white (CCT= 5400 K) 1000 lx 787 lx 0,787 1,044 W/m 2 LED, white (CCT= 6535 K) 1000 lx 800 lx 0,800 1,062 W/m 2 High CCT Fluorescent (CCT= 8000 K) 1000 lx 957 lx 0,957 1,269 W/m 2 E e,mel melanopic lux (Lucas Irradiance Toolbox) 547 754 445 1104 295 472 869 883 1056 *1,104 *0,906

Melanopic photometric data Conversion factor from photopic illuminance (in lx) to daylight equivalent illuminance E v,mel,d65 (in lx) 1 0,9 0,8 0,7 0,6 0,5 0,4 0,3 0,2 0,1 0 std. ill. A FL 827 FL 830 FL 840 FL 880 LED 3075 LED 6500 D65 Characteristical property of light sources Potential to elicit melanopic effects in comparison to daylight

How to Make Studies Comparable? Influence of Light on Sleepiness (KSS, see Metrics Report p. 33)

How to Make Studies Comparable? Influence of Light on Melatonin Suppression (see Metrics Report p. 33) 27 studies >> 100 different lighting conditions No direct comparability of photometric data

HCL Toolkit Assessment of different lighting conditions by rescaling to melanopic and other opic illuminance 1. Assessment of Studies Select light source Select parameters (CCT, ) Enter intensity Start calculation Read results ( opic data) 2. Lighting Design Select light source Select parameters (CCT, ) Enter target data ( opic data) Start calculation Read required light intensity

Example 1 / Melatonin Suppression 5 h exposure to computer screen Blue light: ~ 464 nm +/ 10 nm 2.1 x 10 13 photons/(cm 2 x s) Significant influence on melatonin and subjective alertness

Example 1 / LED Computer Screen Blue light ~ 464 +/ 10 nm 2.1 x 10 13 photons/cm 2 MDEI = 51,7 lx

Correlations become visible after rescaling

Example 2 / Nursing Home for Elderly Positive effects shown for lighting conditions 1000 lx, 8000 K, fluorescent lamp MDEI = 956,79lx

Example 2 / Nursing Home for Elderly Now change to LED lighting, white light, 6500 K MDEI = 956,79lx Start backward calculation 1196,15 lx Use this as target value for lighting design with 6500 K LED lighting.

Summary Metrics to assess light with respect to its non visual effects has been developed Large number of studies has been made comparable by re scaling their light settings to opic irradiance Concept of Melanopic daylight equivalent illuminance (MDEI) has been applied to compare light settings to natural daylight For most studies MDEI gives the best correlation coefficients to the expected effects. Scientist need to be challenged for a better and more complete description of light settings in studies in order to guarantee comparability and reproducibility. A tool has been developed to allow retrospective comparability and lighting design in advance of studies

Thanks for your attention! dieter.lang@osram.com Register for the newsletter and look for updates on www.lightingforpeople.eu The research leading to these results has received funding from the European Community s 7th Framework Programme (FP7 ICT 2013 11) under the grant agreement nº 619249 acronym SSL erate