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Intelligent control for energy-positive street lighting

Author

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  • Kovács, András
  • Bátai, Roland
  • Csáji, Balázs Csanád
  • Dudás, Péter
  • Háy, Borbála
  • Pedone, Gianfranco
  • Révész, Tibor
  • Váncza, József

Abstract

The paper investigates the application of solar energy in public lighting for realizing a street lighting sub-grid with positive yearly energy balance. The focus is given to the central controller, which ensures the adaptive behavior of the overall system and provides smart city services to the end users via its web-based user interface. A functionality of the controller of special interest is the optimization of the energy management of the system, i.e., determining when to sell and buy electricity to/from the grid, in order to minimize the cost of electricity (or to maximize the profit) subject to a given, time-of-use variable energy tariff. This requires precise forecasts of the energy produced and consumed, as well as appropriate robust optimization techniques that guarantee that the system bridges potential power outages of moderate duration in island mode. The algorithms implemented in the controller are presented in detail, together with the evaluation of the operation of a deployed physical prototype with 191 luminaries over a horizon of six months, based on the monitoring data collected by the proposed controller.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:114:y:2016:i:c:p:40-51
    DOI: 10.1016/j.energy.2016.07.156
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    1. Niknam, Taher & Azizipanah-Abarghooee, Rasoul & Narimani, Mohammad Rasoul, 2012. "An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation," Applied Energy, Elsevier, vol. 99(C), pages 455-470.
    2. Nurisyal Muhamad & Sofiah Md Auzair & Amizawati Mohd Amir & Md Daud Ismail, 2016. "Measuring Sustainability Performance Measurement System," EuroEconomica, Danubius University of Galati, issue 3(12), pages 182-199, JUNE.
    3. Elsied, Moataz & Oukaour, Amrane & Gualous, Hamid & Hassan, Radwan, 2015. "Energy management and optimization in microgrid system based on green energy," Energy, Elsevier, vol. 84(C), pages 139-151.
    4. Provata, Elena & Kolokotsa, Dionysia & Papantoniou, Sotiris & Pietrini, Maila & Giovannelli, Antonio & Romiti, Gino, 2015. "Development of optimization algorithms for the Leaf Community microgrid," Renewable Energy, Elsevier, vol. 74(C), pages 782-795.
    5. De Almeida, Aníbal & Santos, Bruno & Paolo, Bertoldi & Quicheron, Michel, 2014. "Solid state lighting review – Potential and challenges in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 30-48.
    6. Ahmed, Jubaer & Salam, Zainal, 2015. "An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency," Applied Energy, Elsevier, vol. 150(C), pages 97-108.
    7. Macedo, M.N.Q. & Galo, J.J.M. & de Almeida, L.A.L. & de C. Lima, A.C., 2015. "Demand side management using artificial neural networks in a smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 128-133.
    8. Boland, John, 2015. "Spatial-temporal forecasting of solar radiation," Renewable Energy, Elsevier, vol. 75(C), pages 607-616.
    9. Clastres, C. & Ha Pham, T.T. & Wurtz, F. & Bacha, S., 2010. "Ancillary services and optimal household energy management with photovoltaic production," Energy, Elsevier, vol. 35(1), pages 55-64.
    10. Radulovic, Dusko & Skok, Srdjan & Kirincic, Vedran, 2011. "Energy efficiency public lighting management in the cities," Energy, Elsevier, vol. 36(4), pages 1908-1915.
    11. Rachel J. C. Chen, 2016. "What Can Rural Communities Do to Be Sustained?," Sustainability, MDPI, vol. 8(9), pages 1-11, September.
    12. Ishaque, Kashif & Salam, Zainal & Lauss, George, 2014. "The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions," Applied Energy, Elsevier, vol. 119(C), pages 228-236.
    13. Nurisyal Muhamad & Sofiah Md Auzair & Amizawati Mohd Amir & Md Daud Ismail, 2016. "Measuring Sustainability Performance Measurement System," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 12(3), pages 182-199, JUNE.
    14. Trapero, Juan R. & Kourentzes, Nikolaos & Martin, A., 2015. "Short-term solar irradiation forecasting based on Dynamic Harmonic Regression," Energy, Elsevier, vol. 84(C), pages 289-295.
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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. Mohammad K. Najjar & Eduardo Linhares Qualharini & Ahmed W. A. Hammad & Dieter Boer & Assed Haddad, 2019. "Framework for a Systematic Parametric Analysis to Maximize Energy Output of PV Modules Using an Experimental Design," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    3. Enrique Navarrete-de Galvez & Alfonso Gago-Calderon & Luz Garcia-Ceballos & Miguel Angel Contreras-Lopez & Jose Ramon Andres-Diaz, 2021. "Adjustment of Lighting Parameters from Photopic to Mesopic Values in Outdoor Lighting Installations Strategy and Associated Evaluation of Variation in Energy Needs," Sustainability, MDPI, vol. 13(8), pages 1-14, April.
    4. László Balázs & Ferenc Braun & József Lengyel, 2023. "Energy Saving Potential of Traffic-Regulated Street Lighting," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    5. Tukymbekov, Didar & Saymbetov, Ahmet & Nurgaliyev, Madiyar & Kuttybay, Nurzhigit & Dosymbetova, Gulbakhar & Svanbayev, Yeldos, 2021. "Intelligent autonomous street lighting system based on weather forecast using LSTM," Energy, Elsevier, vol. 231(C).
    6. Benedek, József & Sebestyén, Tihamér-Tibor & Bartók, Blanka, 2018. "Evaluation of renewable energy sources in peripheral areas and renewable energy-based rural development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 516-535.
    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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