ANALYSIS OF CARBON EMISSION CHARACTERISTICS AND REDUCTION POTENTIAL ON TUNNEL LIGHTING

The problem of global warming caused by excess carbon emission has aroused great concern of all countries in the world. As an important part of underground space, road tunnels produce a large amount of carbon emissions in the operation process. In this study, the carbon emission of the tunnel life cycle was calculated and evaluated, and the role of lighting was analyzed. The eye movement characteristics and carbon emissions ratio of each lighting section were studied for the tunnel graded lighting. The carbon emission uncertainty analysis of tunnel lighting was carried out considering the influence of multiple factors such as traffic volume and design speed, and the carbon reduction potential was studied based on particle swarm optimization algorithm. The results show that the carbon emission of tunnel lighting is closely related to the length of tunnel, and the sum of carbon emission of the entrance section and the middle section exceeded 80%. With the increase of tunnel length, the proportion of lighting carbon emission in the middle section of the tunnel continues to increase. In addition, the carbon reduction potential of tunnel lighting was analyzed.