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Comparative Study of Road Lighting Efficiency in the Context of CEN/TR 13201 2004 and 2014 Lighting Standards and Dynamic Control

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Listed:
  • Igor Wojnicki

    () (Department of Applied Computer Science, AGH University of Science and Technology, Al.Mickiewicza 30, 30-059 Kraków, Poland)

  • Konrad Komnata

    () (Department of Applied Computer Science, AGH University of Science and Technology, Al.Mickiewicza 30, 30-059 Kraków, Poland)

  • Leszek Kotulski

    () (Department of Applied Computer Science, AGH University of Science and Technology, Al.Mickiewicza 30, 30-059 Kraków, Poland)

Abstract

This paper presents a comparative study of differences in energy consumption while applying 2004 and 2014 releases of the CEN/TR 13201 standard for lighting designs. Street lighting optimal design and its optimization is discussed. To provide a reliable comparison, optimal designs for a given representative set of streets were calculated. The optimization was performed by newly developed software. As a test bed, a set of streets was selected with varying physical and traffic characteristics. The energy consumption was measured on the same set of streets both statically, which assumed the same lighting levels throughout night, and with a dynamic control, which adjusted lighting based on traffic intensity. For experiments with the dynamic control, one year of traffic intensity data were used. The findings confirm increased economical impact of dynamic control for the 2014 standard, which results in significant energy saving.

Suggested Citation

  • Igor Wojnicki & Konrad Komnata & Leszek Kotulski, 2019. "Comparative Study of Road Lighting Efficiency in the Context of CEN/TR 13201 2004 and 2014 Lighting Standards and Dynamic Control," Energies, MDPI, Open Access Journal, vol. 12(8), pages 1-14, April.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1524-:d:225075
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    References listed on IDEAS

    as
    1. Igor Wojnicki & Leszek Kotulski, 2018. "Empirical Study of How Traffic Intensity Detector Parameters Influence Dynamic Street Lighting Energy Consumption: A Case Study in Krakow, Poland," Sustainability, MDPI, Open Access Journal, vol. 10(4), pages 1-16, April.
    2. Sebastian Ernst & Marek Łabuz & Kamila Środa & Leszek Kotulski, 2018. "Graph-Based Spatial Data Processing and Analysis for More Efficient Road Lighting Design," Sustainability, MDPI, Open Access Journal, vol. 10(11), pages 1-18, October.
    3. Igor Wojnicki & Leszek Kotulski, 2018. "Improving Control Efficiency of Dynamic Street Lighting by Utilizing the Dual Graph Grammar Concept," Energies, MDPI, Open Access Journal, vol. 11(2), pages 1-15, February.
    4. Leccese, Francesco & Salvadori, Giacomo & Rocca, Michele, 2017. "Critical analysis of the energy performance indicators for road lighting systems in historical towns of central Italy," Energy, Elsevier, vol. 138(C), pages 616-628.
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    More about this item

    Keywords

    energy efficiency; dynamic lighting; lighting standards; street lighting; adaptive control;
    All these keywords.

    JEL classification:

    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other

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