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Roadway Lighting Retrofit: Environmental and Economic Impact of Greenhouse Gases Footprint Reduction

Author

Listed:
  • Adam Sȩdziwy

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

  • Artur Basiura

    (Department of Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland
    GRADIS Sp. z o.o., ul.Jasnogórska 9 kl. B, 31-358 Kraków, Poland)

  • Igor Wojnicki

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

Abstract

Roadway lighting retrofit is a process continuously developed in urban environments due to both installation aging and technical upgrades. The spectacular example is replacing the high intensity discharge (HID) lamps, usually high pressure sodium (HPS) ones, with the sources based on light-emitting diodes (LED). The main focus in the related research was put on energy efficiency of installations and corresponding financial benefits. In this work, we extend those considerations analyzing how lighting optimization impacts greenhouse gas (GHG) emission reduction and what are the resultant financial benefits expressed in terms of emission allowances prices. Our goal is twofold: (i) obtaining a quantitative assessment of how a GHG footprint depends on a technological scope of modernization of a city HPS-based lighting system; and (ii) showing that the costs of such a modernization can be decreased by up to 10% thanks to a lowered CO 2 emission volume. Moreover, we identify retrofit patterns yielding the most substantial environmental impact.

Suggested Citation

  • Adam Sȩdziwy & Artur Basiura & Igor Wojnicki, 2018. "Roadway Lighting Retrofit: Environmental and Economic Impact of Greenhouse Gases Footprint Reduction," Sustainability, MDPI, vol. 10(11), pages 1-11, October.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:3925-:d:178916
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    References listed on IDEAS

    as
    1. Igor Wojnicki & Leszek Kotulski, 2018. "Improving Control Efficiency of Dynamic Street Lighting by Utilizing the Dual Graph Grammar Concept," Energies, MDPI, vol. 11(2), pages 1-15, February.
    2. 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, vol. 10(4), pages 1-16, April.
    3. Igor Wojnicki & Sebastian Ernst & Leszek Kotulski, 2016. "Economic Impact of Intelligent Dynamic Control in Urban Outdoor Lighting," Energies, MDPI, vol. 9(5), pages 1-14, April.
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    Cited by:

    1. Sadeghian, Omid & Mohammadi-Ivatloo, Behnam & Oshnoei, Arman & Aghaei, Jamshid, 2024. "Unveiling the potential of renewable energy and battery utilization in real-world public lighting systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    2. 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.
    3. 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.

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