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Numerical Simulation of Photocatalytic NO Removal and Sustainable Coating Strategy Optimization for Tunnel Pavement and Wall Surfaces

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  • Ruibin Li

    (College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Mingjian Yin

    (College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Xiaofeng Chen

    (Hangzhou International Innovation Institute, Beihang University, Hangzhou 311115, China)

  • Sitian Wu

    (College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Dong Ye

    (College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

  • Ke Wu

    (Zhejiang Key Laboratory of Offshore Civil Engineering and Materials, Zhejiang University, Hangzhou 310058, China)

  • Kai Zhu

    (College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China)

Abstract

Motor vehicle exhaust in urban tunnels can cause nitric oxide (NO) to accumulate, severely degrading air quality both inside the tunnel and in the surrounding environment. Photocatalytic technology is an efficient, secondary-pollution-free approach with clear potential for treating tunnel exhaust; however, parametric analyses for practical tunnel engineering applications remain limited. Using computational fluid dynamics (CFD), this study developed a numerical model to simulate photocatalytic NO degradation in a congested tunnel and examined how the surface reaction rate, coating extent, and longitudinal coated section affect NO reduction performance. The results show that NO reduction efficiency increased with the surface reaction rate; however, once the surface reaction rate constant exceeded 2.11 × 10 −4 m/s, further gains diminished and the efficiency approached a plateau due to mass-transfer limitations. With respect to the coating extent, full four-wall coating (sidewalls, ceiling, and road surface) provided the best performance, followed by three-wall coating (excluding the ceiling). Moreover, because the road surface lies in a region of high pollutant concentration and low air velocity, coating on the road surface achieved a markedly stronger reduction effect than coating on the sidewalls or the ceiling. In the simulated 500 m tunnel, the downstream coated section achieved a markedly higher NO reduction efficiency in the ambient environment outside the tunnel (5.9%) than the upstream coated section (1.0%), approaching that of the full-length (500 m) coated section (6.6%). Therefore, in practical engineering applications, priority should be given to coating strategies targeting the downstream section and the road surface in order to balance NO reduction performance and economic cost. Such a strategy is beneficial not only for improving tunnel air quality, but also for promoting sustainable pavement and tunnel-surface engineering by reducing unnecessary coating area and enabling a more resource-efficient and cost-effective use of photocatalytic materials. These findings provide theoretical and methodological support for the sustainable design and application of photocatalytic coating systems in urban tunnels.

Suggested Citation

  • Ruibin Li & Mingjian Yin & Xiaofeng Chen & Sitian Wu & Dong Ye & Ke Wu & Kai Zhu, 2026. "Numerical Simulation of Photocatalytic NO Removal and Sustainable Coating Strategy Optimization for Tunnel Pavement and Wall Surfaces," Sustainability, MDPI, vol. 18(8), pages 1-19, April.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:8:p:4058-:d:1923626
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