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Management Optimization of the Luminous Flux Regulation of a Lighting System in Road Tunnels. A First Approach to the Exertion of Predictive Control Systems

Author

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  • Ferdinando Salata

    (DIAEE—Area Fisica Tecnica, Università degli Studi di Roma “Sapienza”, Via Eudossiana, 18-00184 Rome, Italy)

  • Iacopo Golasi

    (DIAEE—Area Fisica Tecnica, Università degli Studi di Roma “Sapienza”, Via Eudossiana, 18-00184 Rome, Italy)

  • Alessandro Poliziani

    (DIAEE—Area Fisica Tecnica, Università degli Studi di Roma “Sapienza”, Via Eudossiana, 18-00184 Rome, Italy)

  • Antonio Futia

    (DIAEE—Area Fisica Tecnica, Università degli Studi di Roma “Sapienza”, Via Eudossiana, 18-00184 Rome, Italy)

  • Emanuele De Lieto Vollaro

    (DIMI—Università degli Studi “Roma TRE”, Via Vito Volterra, 62-00146 Rome, Italy)

  • Massimo Coppi

    (DIAEE—Area Fisica Tecnica, Università degli Studi di Roma “Sapienza”, Via Eudossiana, 18-00184 Rome, Italy)

  • Andrea De Lieto Vollaro

    (DIAEE—Area Fisica Tecnica, Università degli Studi di Roma “Sapienza”, Via Eudossiana, 18-00184 Rome, Italy)

Abstract

Lighting very long road tunnels implies a high consumption of electrical energy since it requires a proper illumination during the whole day. In particular, in the daytime, the illuminance levels right at the tunnel entrance threshold and exit zones must be higher than those characterizing the inside of the tunnel; in this way, the eye of the driver is able to adapt and be safe while passing from a high natural illumination of the outside to the lighting conditions characterizing the inside of the tunnel. However this causes a high energy demand. Therefore, this case study investigates whether it is possible to minimize the energy demand through the exertion of an automatic new control system regulating the luminous fluxes of artificial sources (guaranteeing the parameters set by the regulation) with respect to the variation of the natural light characterizing the outside. The innovative control systems must be characterized by high reliability levels in order to guarantee conditions which are not dangerous to the driver if an outage occurs and minimize their maintenance costs. To carry out this type of study, the software DIALux was used to simulate a tunnel with a dimming system (with lamps characterized by a high luminous efficiency) regulated by a pre-programmed logic control system (with high Mean Time Between Failure (MTBF) values). The savings obtained enabled the amortization of the solution here suggested in a time interval that makes it an advantageous choice economically speaking.

Suggested Citation

  • Ferdinando Salata & Iacopo Golasi & Alessandro Poliziani & Antonio Futia & Emanuele De Lieto Vollaro & Massimo Coppi & Andrea De Lieto Vollaro, 2016. "Management Optimization of the Luminous Flux Regulation of a Lighting System in Road Tunnels. A First Approach to the Exertion of Predictive Control Systems," Sustainability, MDPI, vol. 8(11), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:11:p:1092-:d:81325
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    References listed on IDEAS

    as
    1. Ferdinando Salata & Iacopo Golasi & Simone Bovenzi & Emanuele De Lieto Vollaro & Francesca Pagliaro & Lucia Cellucci & Massimo Coppi & Franco Gugliermetti & Andrea De Lieto Vollaro, 2015. "Energy Optimization of Road Tunnel Lighting Systems," Sustainability, MDPI, vol. 7(7), pages 1-17, July.
    2. Ferdinando Salata & Iacopo Golasi & Giacomo Falanga & Marco Allegri & Emanuele De Lieto Vollaro & Fabio Nardecchia & Francesca Pagliaro & Franco Gugliermetti & Andrea De Lieto Vollaro, 2015. "Maintenance and Energy Optimization of Lighting Systems for the Improvement of Historic Buildings: A Case Study," Sustainability, MDPI, vol. 7(8), pages 1-19, August.
    3. Ferdinando Salata & Iacopo Golasi & Emiliano Bombelli & Emanuele De Lieto Vollaro & Fabio Nardecchia & Francesca Pagliaro & Franco Gugliermetti & Andrea De Lieto Vollaro, 2015. "Case Study on Economic Return on Investments for Safety and Emergency Lighting in Road Tunnels," Sustainability, MDPI, vol. 7(8), pages 1-14, July.
    4. Salata, Ferdinando & Golasi, Iacopo & di Salvatore, Maicol & de Lieto Vollaro, Andrea, 2016. "Energy and reliability optimization of a system that combines daylighting and artificial sources. A case study carried out in academic buildings," Applied Energy, Elsevier, vol. 169(C), pages 250-266.
    5. Luca Evangelisti & Gabriele Battista & Claudia Guattari & Carmine Basilicata & Roberto De Lieto Vollaro, 2014. "Analysis of Two Models for Evaluating the Energy Performance of Different Buildings," Sustainability, MDPI, vol. 6(8), pages 1-11, August.
    6. Asdrubali, Francesco & Baldinelli, Giorgio & D’Alessandro, Francesco & Scrucca, Flavio, 2015. "Life cycle assessment of electricity production from renewable energies: Review and results harmonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1113-1122.
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    Cited by:

    1. Antonio Peña-García & Thi Phuoc Lai Nguyen, 2018. "A Global Perspective for Sustainable Highway Tunnel Lighting Regulations: Greater Road Safety with a Lower Environmental Impact," IJERPH, MDPI, vol. 15(12), pages 1-9, November.
    2. Valentín Molina-Moreno & Juan Carlos Leyva-Díaz & Jorge Sánchez-Molina & Antonio Peña-García, 2017. "Proposal to Foster Sustainability through Circular Economy-Based Engineering: A Profitable Chain from Waste Management to Tunnel Lighting," Sustainability, MDPI, vol. 9(12), pages 1-9, December.
    3. Antonio Peña-García & Ferdinando Salata & Iacopo Golasi, 2019. "Decrease of the Maximum Speed in Highway Tunnels as a Measure to Foster Energy Savings and Sustainability," Energies, MDPI, vol. 12(4), pages 1-11, February.
    4. Li Qin & Li-Li Dong & Wen-Hai Xu & Li-Dong Zhang & Arturo S. Leon, 2017. "An Intelligent Luminance Control Method for Tunnel Lighting Based on Traffic Volume," Sustainability, MDPI, vol. 9(12), pages 1-12, November.
    5. Yuwei Zhang & Peng Xue & Yifan Zhao & Zhikai Ni & Yani Quan & Jingchao Xie & Jiaping Liu, 2023. "A Novel Evaluation Method of Tunnel Access Zone Luminance Based on Measured Meteorological Data," Sustainability, MDPI, vol. 15(3), pages 1-20, February.

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