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Enhancing Energy Efficiency of Adaptive Lighting Control

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Intelligent Information and Database Systems (ACIIDS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10192))

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Abstract

Lighting standards (generally based on the CEN/TR 13201 standard) allow assigning different lighting classes to a single roadway dependently on an actual traffic flow. Applying a less restrictive lighting class decreases energy consumption. Thanks to this setting lighting classes accordingly to actual road conditions yields up to 34% reduction of the power usage. This result may be further improved if one performs control on a well design installation. The optimization of a lighting design for one lighting class is the subject to the intensive research. In this article we show in turn that the optimization within one class is not sufficient for preparing an optimal solution. The metrics allowing the comparison of two solutions has been also introduced. The energy consumption in the presented case is reduced by 2.73% only but in the context of the global energy consumption of lighting systems (estimated for 3 GWh in the EU) it seems to be interesting.

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Notes

  1. 1.

    The Smart Power Grids project, financed by the Polish National Fund for Environmental Protection and Water Management [12].

  2. 2.

    We selected fixtures manufactured by Philips, Schreder and GE Lighting.

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Correspondence to Adam Sędziwy .

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Sędziwy, A., Kotulski, L., Basiura, A. (2017). Enhancing Energy Efficiency of Adaptive Lighting Control. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10192. Springer, Cham. https://doi.org/10.1007/978-3-319-54430-4_47

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  • DOI: https://doi.org/10.1007/978-3-319-54430-4_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54429-8

  • Online ISBN: 978-3-319-54430-4

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