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Lighting System Modernization as a Source of Green Energy

Author

Listed:
  • Leszek Kotulski

    (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)

  • Igor Wojnicki

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

  • Sebastian Siuchta

    (GRADIS Ltd., ul. Jasnogórska 9B, 31-358 Kraków, Poland)

Abstract

The use of formal methods and artificial intelligence has made it possible to automatically design outdoor lighting. Quick design for large cities, in a matter of hours instead of weeks, and analysis of various optimization criteria enables to save energy and tune profit stream from lighting retrofit. Since outdoor lighting is of a large scale, having luminaires on every street in urban areas, and since it needs to be retrofitted every 10 to 15 years, choosing proper parameters and light sources leads to significant energy savings. This paper presents the concept and calculations of Levelized Cost of Electricity for outdoor lighting retrofit. It is understood as cost of energy savings, it is in the range from 23.06 to 54.64 EUR/MWh, based on real-world cases. This makes street and road lighting modernization process the best green “energy source” if compared with the 2018 Fraunhofer Institute cost of electricity renewable energy technologies ranking. This indicates that investment in lighting retrofit is more economically and ecologically viable than investment in new renewable energy sources.

Suggested Citation

  • Leszek Kotulski & Artur Basiura & Igor Wojnicki & Sebastian Siuchta, 2021. "Lighting System Modernization as a Source of Green Energy," Energies, MDPI, vol. 14(10), pages 1-14, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2771-:d:552909
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    References listed on IDEAS

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    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.
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    Cited by:

    1. Sławomir Zalewski, 2021. "Advanced Controlled Road Lighting System Concurrent with Users," Energies, MDPI, vol. 14(22), pages 1-9, November.
    2. Sebastian Ernst & Leszek Kotulski & Adam Sędziwy & Igor Wojnicki, 2023. "Graph-Based Computational Methods for Efficient Management and Energy Conservation in Smart Cities," Energies, MDPI, vol. 16(7), pages 1-21, April.

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