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Improving Control Efficiency of Dynamic Street Lighting by Utilizing the Dual Graph Grammar Concept

Author

Listed:
  • Igor Wojnicki

    (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 paper introduces a definition of dual graph grammar . It enables two graphs to share information in a synchronized way. A smart city example application, which is an outdoor lighting control system utilizing the dual graph grammar , is also demonstrated. The system controls dimming of street lights which is based on traffic intensity. Each luminaire’s light level is adjusted individually to comply with the lighting norms to ensure safety. Benefits of applying the dual graph grammar are twofold. First, it increases expressive power of the mathematical model that the system uses. It becomes possible to take into account complex geographical distribution of sensors and logical dependencies among them. Second, it increases the system’s efficiency by reducing the problem size during run-time. Experimental results show a reduction of the computation time by a factor of 2.8. The approach has been verified in practice.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:402-:d:131023
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    References listed on IDEAS

    as
    1. 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.
    2. Kovács, András & Bátai, Roland & Csáji, Balázs Csanád & Dudás, Péter & Háy, Borbála & Pedone, Gianfranco & Révész, Tibor & Váncza, József, 2016. "Intelligent control for energy-positive street lighting," Energy, Elsevier, vol. 114(C), pages 40-51.
    3. repec:ipt:iptwpa:jrc47967 is not listed on IDEAS
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    Cited by:

    1. Ahmed WA Hammad & Ali Akbarnezhad & Assed Haddad & Elaine Garrido Vazquez, 2019. "Sustainable Zoning, Land-Use Allocation and Facility Location Optimisation in Smart Cities," Energies, MDPI, vol. 12(7), pages 1-23, April.
    2. Sebastian Ernst & Marek Łabuz & Kamila Środa & Leszek Kotulski, 2018. "Graph-Based Spatial Data Processing and Analysis for More Efficient Road Lighting Design," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    3. 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.
    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. 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.
    6. 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.
    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. Igor Wojnicki & Konrad Komnata & Leszek Kotulski, 2019. "Comparative Study of Road Lighting Efficiency in the Context of CEN/TR 13201 2004 and 2014 Lighting Standards and Dynamic Control," Energies, MDPI, vol. 12(8), pages 1-14, April.
    10. 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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