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Towards Highly Energy-Efficient Roadway Lighting

Author

Listed:
  • Adam Sȩdziwy

    (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

The reports presented by consulting firms show that annual energy costs generated by 340 million streetlights are expected to reach $23.9 to $42.5 billion by 2025. Those numbers reveal a motivation behind the research aiming at optimizing outdoor lighting energy efficiency. They show that even a small unit improvement can yield large benefits due to the effect of scale. The development of solid state lighting solutions enables highly effective modernization of street lighting installations. It allows obtaining power saving not only by replacing high pressure lamps with LEDs but also by improving a design quality and by introducing a dynamic street lighting control. Both methods, however, are not feasible for industry-standard software tools due to the significant complexity related to a configuration optimization, especially for large-scale projects. The goal of this article is presenting the workaround to the complexity issue, which is based on application of graph methods. They enable optimizing lighting installations in the scale of a city by providing a scalable computational environment. The presented case study shows that, thanks to applying the proposed method, one can design a lighting system which has the energy consumption reduced by up to 70%.

Suggested Citation

  • Adam Sȩdziwy & Leszek Kotulski, 2016. "Towards Highly Energy-Efficient Roadway Lighting," Energies, MDPI, vol. 9(4), pages 1-16, April.
  • Handle: RePEc:gam:jeners:v:9:y:2016:i:4:p:263-:d:67290
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    References listed on IDEAS

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    1. Ferdinando Salata & Iacopo Golasi & Simone Bovenzi & Emanuele De Lieto Vollaro & Francesca Pagliaro & Lucia Cellucci & Massimo Coppi & Franco Gugliermetti & Andrea De Lieto Vollaro, 2015. "Energy Optimization of Road Tunnel Lighting Systems," Sustainability, MDPI, vol. 7(7), pages 1-17, July.
    2. Kostic, Miomir & Djokic, Lidija, 2009. "Recommendations for energy efficient and visually acceptable street lighting," Energy, Elsevier, vol. 34(10), pages 1565-1572.
    3. Beccali, Marco & Bonomolo, Marina & Ciulla, Giuseppina & Galatioto, Alessandra & Lo Brano, Valerio, 2015. "Improvement of energy efficiency and quality of street lighting in South Italy as an action of Sustainable Energy Action Plans. The case study of Comiso (RG)," Energy, Elsevier, vol. 92(P3), pages 394-408.
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    Citations

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    Cited by:

    1. Annika K. Jägerbrand, 2020. "Synergies and Trade-Offs Between Sustainable Development and Energy Performance of Exterior Lighting," Energies, MDPI, vol. 13(9), pages 1-27, May.
    2. Piotr Tomczuk & Marcin Chrzanowicz & Piotr Jaskowski & Marcin Budzynski, 2021. "Evaluation of Street Lighting Efficiency Using a Mobile Measurement System," Energies, MDPI, vol. 14(13), pages 1-25, June.
    3. László Balázs & Ferenc Braun & József Lengyel, 2023. "Energy Saving Potential of Traffic-Regulated Street Lighting," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    4. Annika K. Jägerbrand, 2016. "LED (Light-Emitting Diode) Road Lighting in Practice: An Evaluation of Compliance with Regulations and Improvements for Further Energy Savings," Energies, MDPI, vol. 9(5), pages 1-15, May.
    5. Steffen Thielemans & Dario Di Zenobio & Abdellah Touhafi & Philippe Lataire & Kris Steenhaut, 2017. "DC Grids for Smart LED-Based Lighting: The EDISON Solution," Energies, MDPI, vol. 10(10), pages 1-26, September.
    6. Michelangelo Scorpio & Roberta Laffi & Massimiliano Masullo & Giovanni Ciampi & Antonio Rosato & Luigi Maffei & Sergio Sibilio, 2020. "Virtual Reality for Smart Urban Lighting Design: Review, Applications and Opportunities," Energies, MDPI, vol. 13(15), pages 1-26, July.
    7. Antonio Ocana-Miguel & Jose Ramon Andres-Diaz & Manuel Jesús Hermoso-Orzáez & Alfonso Gago-Calderón, 2018. "Analysis of the Viability of Street Light Programming Using Commutation Cycles in the Power Line," Sustainability, MDPI, vol. 10(11), pages 1-14, November.

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