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A Novel Evaluation Method of Tunnel Access Zone Luminance Based on Measured Meteorological Data

Author

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  • Yuwei Zhang

    (Beijing Key Laboratory of Green Building Environment and Energy Saving Technology, Beijing University of Technology, Beijing 100124, China
    Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

  • Peng Xue

    (Beijing Key Laboratory of Green Building Environment and Energy Saving Technology, Beijing University of Technology, Beijing 100124, China
    Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

  • Yifan Zhao

    (Beijing Key Laboratory of Green Building Environment and Energy Saving Technology, Beijing University of Technology, Beijing 100124, China
    Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

  • Zhikai Ni

    (Beijing Key Laboratory of Green Building Environment and Energy Saving Technology, Beijing University of Technology, Beijing 100124, China
    Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

  • Yani Quan

    (Beijing Key Laboratory of Green Building Environment and Energy Saving Technology, Beijing University of Technology, Beijing 100124, China
    Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

  • Jingchao Xie

    (Beijing Key Laboratory of Green Building Environment and Energy Saving Technology, Beijing University of Technology, Beijing 100124, China
    Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

  • Jiaping Liu

    (Beijing Key Laboratory of Green Building Environment and Energy Saving Technology, Beijing University of Technology, Beijing 100124, China
    Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

Abstract

As the design basis of the tunnel lighting system, tunnel access zone luminance (TAZL) directly affects the energy efficiency of the tunnel lighting system and the driving safety of drivers. Affected by the relative position of the sun, weather conditions and other factors, the TAZL dynamically changes over time, but the existing tunnel mostly uses a fixed luminance value for the design and operation of the tunnel lighting system, which lacks a simplified method to obtain the real-time luminance. In this study, the L 20 (S) (the average luminance observed by the driver at 20° field of view) at the tunnel stopping sight distance is split, and the sky luminance is calculated by using the sky luminance model. While a segmented prediction model of the ground scenery luminance is established with the maximum sun height angle as the inflection point, the solar irradiance outside the tunnel is adopted as the input parameter. This new proposed L 20 (S) evaluation model is verified within the error of 5.41%, which provides a convenient and accurate method for the real-time measurement of TAZL.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2602-:d:1053958
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    References listed on IDEAS

    as
    1. Zongyuan Sun & Shuo Liu & Jie Tang & Peng Wu & Boming Tang, 2021. "Exploring the Impacts of Driving Environment on Crashes in Tunnel–Bridge–Tunnel Groups: An Eight-Zone Analytic Approach," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    2. 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.
    3. 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.
    4. Li, Danny H.W. & Chau, Natalie T.C. & Wan, Kevin K.W., 2013. "Predicting daylight illuminance and solar irradiance on vertical surfaces based on classified standard skies," Energy, Elsevier, vol. 53(C), pages 252-258.
    5. Laura Moretti & Giuseppe Cantisani & Luigi Carrarini & Francesco Bezzi & Valentina Cherubini & Sebastiano Nicotra, 2019. "Italian Road Tunnels: Economic and Environmental Effects of an On-Going Project to Reduce Lighting Consumption," Sustainability, MDPI, vol. 11(17), pages 1-13, August.
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    Cited by:

    1. Yani Quan & Peng Xue & Junwei Chen & Shaofeng Wang & Yuwei Zhang & Zhikai Ni & Yanfeng Li & Junmei Li & Nan Zhang & Jingchao Xie, 2024. "Experimental Investigation of Pollutant—Luminous Environment Relation Under Tunnel Fire Condition Based on Spectral Analysis," Sustainability, MDPI, vol. 16(24), pages 1-19, December.

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