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The Drive towards Optimization of Road Lighting Energy Consumption Based on Mesopic Vision—A Suburban Street Case Study

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  • Irena Fryc

    (Faculty of Electrical Engineering, Bialystok University of Technology, Wiejska 45d, 15-351 Bialystok, Poland)

  • Dariusz Czyżewski

    (Electrical Engineering Faculty, Electrical Power Engineering Institute, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland)

  • Jiajie Fan

    (Institute of Future Lighting, Academy for Engineering & Technology, Fudan University, Shanghai 200433, China)

  • Catalin D. Gălăţanu

    (Faculty of Civil Engineering and Building Services, Technical University Gheorghe Asachi, Bd. Dimitrie Mangeron 1, 700050 Iasi, Romania)

Abstract

This paper presents the research of optimization of road lighting energy consumption by utilizing the fact of human twilight and night vision (mesopic vision) dependency on luminance level and lamp’s light spectral composition. The research was conducted for a suburban street illuminated by smart LED road luminaires with a luminous flux control system with which different luminance levels can be achieved on the road. This road is an access road leading to a town located on the outskirts of Warsaw which is the capital of Poland and a large metropolitan area. Therefore, the traffic here is quite heavy on this road in the morning and in the evening and it is very light at other times of the day. In accordance with EN 13201 standard, lighting control can be applied to illuminate this road. This paper compares energy consumption for different lighting scenarios of the road in question. In the first scenario, the road luminance is compliant with M4, M5, and M6 lighting class requirements depending on the time of the day. In the second scenario, for each M lighting class, the values of luminance levels provided by EN 13201 standard have been reduced to the values resulting from their conversion to the corresponding mesopic luminance values. The conducted research has shown that a 15% saving per year in electricity consumption on the road is possible with such a conversion. Therefore, energy efficiency of a lighting installation can be improved by matching the lighting levels provided by the standard to the mesopic vision.

Suggested Citation

  • Irena Fryc & Dariusz Czyżewski & Jiajie Fan & Catalin D. Gălăţanu, 2021. "The Drive towards Optimization of Road Lighting Energy Consumption Based on Mesopic Vision—A Suburban Street Case Study," Energies, MDPI, vol. 14(4), pages 1-23, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1175-:d:503869
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    References listed on IDEAS

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    1. Djuretic, Andrej & Kostic, Miomir, 2018. "Actual energy savings when replacing high-pressure sodium with LED luminaires in street lighting," Energy, Elsevier, vol. 157(C), pages 367-378.
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    Cited by:

    1. László Balázs & Ferenc Braun & József Lengyel, 2023. "Energy Saving Potential of Traffic-Regulated Street Lighting," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    2. Rafael Esteban & Zaida Troya & Enrique Herrera-Viedma & Antonio Peña-García, 2021. "IFMIF-DONES as Paradigm of Institutional Funding in the Way towards Sustainable Energy," Sustainability, MDPI, vol. 13(23), pages 1-13, November.
    3. Dusan Gordic & Vladimir Vukasinovic & Zoran Kovacevic & Mladen Josijevic & Dubravka Zivkovic, 2021. "Assessing the Techno-Economic Effects of Replacing Energy-Inefficient Street Lighting with LED Corn Bulbs," Energies, MDPI, vol. 14(13), pages 1-16, June.
    4. Horaţiu Albu & Dorin Beu & Calin Ciugudeanu, 2022. "Study on the Power Quality of LED Street Luminaires," Sustainability, MDPI, vol. 14(15), pages 1-14, August.
    5. Konrad Henryk Bachanek & Blanka Tundys & Tomasz Wiśniewski & Ewa Puzio & Anna Maroušková, 2021. "Intelligent Street Lighting in a Smart City Concepts—A Direction to Energy Saving in Cities: An Overview and Case Study," Energies, MDPI, vol. 14(11), pages 1-19, May.
    6. Davidovic, M. & Kostic, M., 2022. "Comparison of energy efficiency and costs related to conventional and LED road lighting installations," Energy, Elsevier, vol. 254(PB).
    7. Dariusz Czyżewski, 2023. "The Photometric Test Distance in Luminance Measurement of Light-Emitting Diodes in Road Lighting," Energies, MDPI, vol. 16(3), pages 1-20, January.
    8. Sławomir Zalewski, 2021. "Advanced Controlled Road Lighting System Concurrent with Users," Energies, MDPI, vol. 14(22), pages 1-9, November.

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