A framework for the selection of tunable LED luminaire for human centric lighting design

Veena Mathew, Ciji Pearl Kurian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this era, the world needs solutions to improve the health and hence the immunity of working people. Over the past few years, several kinds of research occurred that deals with human-centric lighting (HCL) design which can entrain the circadian rhythm of people. This paper investigates various circadian light metrics and hence to perform a choice making for a user to select a tunable LED for HCL design. Here the capability of a selected tunable LED lamp source to complement an interior space is quantified to provide the best visual comfort and to entrain occupant circadian rhythm. Along with the Spectral Power Distribution(SPD) of the luminaire, evaluated the Correlated Color Temperature(CCT), the Color Rendering Index(CRI), the Fidelity index(Rf) and the Gamut Area Index(Rg) to establish the colour quality of the source. Here considered Melanopic-Photopic (M/P) ratio, Circadian Stimulus, and Equivalent Melanopic Lux (EML) for relating the circadian entrainment. Finally, this study aims to propose a methodology for analyzing and customizing the individual spaces for HCL design with tunable LED fixtures.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020
EditorsS K Niranjan, B. P. Divakar, Sunilkumar S. Manvi, Vishwanath R. Hulipalled, Mallikarjun M. Kodabagi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages95-100
Number of pages6
ISBN (Electronic)9781728172132
DOIs
Publication statusPublished - 09-10-2020
Event2020 International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020 - Virtual, Bengaluru, India
Duration: 09-10-202010-10-2020

Publication series

NameProceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020

Conference

Conference2020 International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020
Country/TerritoryIndia
CityVirtual, Bengaluru
Period09-10-2010-10-20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Electrical and Electronic Engineering

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