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Economic Impact of Intelligent Dynamic Control in Urban Outdoor Lighting

Author

Listed:
  • Igor Wojnicki

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

  • Sebastian Ernst

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

  • Leszek Kotulski

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

Abstract

This paper presents and compares the possible energy savings in various approaches to outdoor lighting modernization. Several solutions implementable using currently-available systems are presented and discussed. An innovative approach using real-time sensor data is also presented in detail, along with its formal background, based on Artificial Intelligence methods (rule-based systems) and graph transformations. The efficiency of all approaches has been estimated and compared using real-life data recorded at an urban setting. The article also presents other aspects which influence the efficiency and feasibility of intelligent lighting projects, including design quality, design workload and conformance to standards.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:5:p:314-:d:68854
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    Citations

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    Cited by:

    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. 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. Fouad Agramelal & Mohamed Sadik & Youssef Moubarak & Saad Abouzahir, 2023. "Smart Street Light Control: A Review on Methods, Innovations, and Extended Applications," Energies, MDPI, vol. 16(21), pages 1-42, November.
    4. Lambros T. Doulos & Ioannis Sioutis & Aris Tsangrassoulis & Laurent Canale & Kostantinos Faidas, 2020. "Revision of Threshold Luminance Levels in Tunnels Aiming to Minimize Energy Consumption at No Cost: Methodology and Case Studies," Energies, MDPI, vol. 13(7), pages 1-23, April.
    5. Marek Kurkowski & Tomasz Popławski & Maciej Zajkowski & Bartosz Kurkowski & Michał Szota, 2022. "Effective Control of Road Luminaires—A Case Study on an Example of a Selected City in Poland," Energies, MDPI, vol. 15(15), pages 1-14, July.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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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