Diffuse reflection-based lighting calculation model and particle swarm optimization algorithm for road tunnels. (June 2022)

• Record Type: Journal Article
• Authors: Shen, Yi; Ling, Jiaxin; Li, Tanci; Zhou, Long; Feng, Shouzhong; Zhu, Hehua
• Is Part Of: Tunnelling and underground space technology. Volume 124(2022)
• Publication Date: 2022-06
• Subjects: Road tunnel -- Diffuse reflection -- Lighting calculation model -- Particle swarm optimization; Tunneling -- Periodicals; Underground construction -- Periodicals; Tunnels -- Periodicals; Underground areas -- Periodicals; 624.193
• DOI: 10.1016/j.tust.2022.104457
• Languages: English
• ISSNs: 0886-7798

Abstract

Highlights: The influence of reflected light from sidewalls for tunnel lighting is analysed. The correctness of the model was verified by field test and lighting simulation. A mathematical optimization algorithm is established for tunnel lighting design. The optimization algorithm can effectively reduce lighting energy consumption. Abstract: Traditional tunnel lighting is calculated and designed based on the illuminance on the pavement. And the lighting design method is a trial-and-errors process, resulting in quite difficult to achieve the optimal design. Based on the sidewall unit discretization and the ideal diffuse reflection assumption, we took tunnel basic lighting as the main object in this paper. The mathematical optimization model of tunnel lighting took the single lamp power, lamp height, transverse spacing, longitudinal spacing and installation elevation angle as input. To achieve continuous optimization of the illuminance calculation, the PSO (Particle Swarm Optimization) algorithm was employed to determine the best luminance design scheme to realize total energy consumption of the mid-section lighting. The correctness and energy saving of the model were verified by field test and 1:1 ratio tunnel lighting three-dimensional simulation. Compared with the field test data, the spatial illuminance calculation relative error range was closer to the actual measured value of road illuminance than the current standard calculation method. Under the premise of the lighting method and the selection of lamps in the site tunnel, the lighting scheme optimized by the two-sided symmetric lighting parameter optimization algorithm proposed can reduce energy consumption by 28.63% compared with the original design scheme, which can effectively reduce the lighting energy consumption in the middle section of the tunnel.