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Smart indoor lighting control: power, illuminance, and colour quality
Department of Electrical Engineering, School of Electrical Engineering, Aalto University.
Department of Electrical Engineering, School of Electrical Engineering, Aalto University.
Department of Automation and Systems Technology, School of Electrical Engineering, Aalto University.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
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2014 (English)In: Proceedings: 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE) : Grand Cevahir Hotel and Convention Center Istambul, Turkey : 01 - 04 June, 2014, Piscataway, NJ: IEEE Communications Society, 2014, p. 1745-1750, article id 6864878Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates the correlation between color quality and energy efficiency of indoor lighting control. The color quality, in terms of visual performance and comfort, is quantified using three measurements: illuminance, Color Rendering Index, and Correlated Color Temperature. Several experiments have been conducted to evaluate the potential energy savings of using different portions of light spectrum to obtain the optimal color quality. In particular, Light-Emitting Diodes are used as the lighting sources of the experimental luminaire. Moreover, the above quantification method and experimental results have been incorporated into a previously developed simulation framework for Building Automation and Control Systems, and smart lighting is used to adjust the tradeoff between comfort and energy consumption based on the presence of occupants. The results can be used to evaluate the viability of advanced lighting automation.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2014. p. 1745-1750, article id 6864878
Series
Proceedings of the IEEE International Symposium on Industrial Electronics, ISSN 2163-5137
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-27533DOI: 10.1109/ISIE.2014.6864878Scopus ID: 2-s2.0-84907379865Local ID: 105cae4e-c842-4490-b4e7-162604bf595eISBN: 9781479923991 (print)OAI: oai:DiVA.org:ltu-27533DiVA, id: diva2:1000717
Conference
IEEE International Symposium on Industrial Electronics : 01/06/2014 - 04/06/2014
Note
Validerad; 2015; Nivå 1; 20140615 (chepan)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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