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Smart LightingThe Right Light where and when you need it

Partha S. Dutta

Smart Lighting Engineering Research CenterElectrical, Computer and Systems Engineering

Rensselaer Polytechnic Institute, Troy, New York, USAe-mail: duttap@rpi.edu

July 7th, 2010

Light Sources

Efficiency of Light Sources

Category Lumen/wattIncandescent 10 to 35

Mercury Vapour (HID)) 20 to 60

Light Emitting Diode 100 (today) 200-300(Future)

Fluorescent 40 to 100Metal Halide (HID) 50 to 110High Pressure Sodium (HID) 50 to 140

Low Pressure Sodium 100 to 180

High EfficiencyNo controllability

Conventional Lighting: poor efficiency, no controllability

Efficiency & Controllability

Emergence of Digital Lighting TechnologiesSolid State Light sources: inherent spectral, polarization, spatial emission, temporal, color temperature controls, compact foot print, integration with microelectronics

High Optical FluxSmart Lighting

Solid State Lighting & Displays

Color

lPolarization

,//E⊥

Color temperature

Pattern

Health      Lighting Display

Digital Light Sources

Smart Systems

Smart Lighting Systems

Communications Imaging

emitter

photons

EfficiencySpeed

Need for Large Scale Artificial Lighting

Wavelength Controlled Plantation

Large Scale Deployment of Smart Light Sources

Smart Lighting Transformation

Light and Human Health

Light isn’t just for vision anymore!› Measurement› Theory› Application

Night shift workers

Jet lag

Adolescents’ sleep patterns

Sleep disorders

Neonatalintensive

care units

Sports performance

Seasonal affective

disorder

Spacetravel

Breastcancer

Older adults’sleep patterns

Mark Rea and Mariana Figueiro, Lighting Research Center, RPI

New paradigm for light

Intensity Spectrum DurationDistribution Timing

Appearance Visual System Visual Performance

Performance, Well-being, Satisfaction, and Comfort

Alerting Effects Circadian System Phase Shift

Intensity Spectrum DurationDistribution Timing

Culture, Experience, Expectations

IESNA

Light System for Personal Health

Direct effect of light on circadian rhythm through non‐visual receptorsDisruption of circadian linked to major health problemsPersonal Light System: ‐ Circadian rhythm estimator based on entrainment model and daysimeter data‐ Optimized lighting control with daysimeter feedback for entrainment

Mark Rea and Mariana Figueiro, Lighting Research Center, RPI

Light sensors

Activity monitor

Energy Efficient Displays

Polarized LEDs will provide huge energy savings!

Courtesy: E.F. Schubert

Distributed Adaptive Lighting and Display    

Filtering, Prediction, State 

Observer

Distributed Source 

Controller

Lighting Drivers

Sensing, Adaptive Sampling

Multiresolution interpolation and 

planning

Distributed Lighting and surface models

Multisource

Multisensor

Distributed  Illumination Field

Ad Hoc Network

Art Sanderson, John Wen, RPI

High Bandwidth Density Integrated Mobility

Visible Light Communications (Dual‐Use)

Critical Infrastructure Applications

Prototype Module

Tom Little, BU

Digital Light Sources: Vision

LEDs with Theoretical Performance LimitsFabrication & Processing Technologies for Nano‐scale and Large Area LEDs“Smart‐Adaptable LEDs”: Multi‐functional, Integrated Electronic‐Photonic Device & Circuit Architectures

+Dual-Functionality

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