基于 TiO2 的光催化涂层路面通过 CFD 模拟对城市街道峡谷中交通相关 NO 污染物的影响。
Influence of TiO-based photocatalytic coating road on traffic-related NO pollutants in urban street canyon by CFD modeling.
机构信息
Key Laboratory for Power machinery and Engineering of M. O. E., Shanghai Jiao Tong University, No. 800, Dongchuan Road, 200240 Shanghai, PR China.
Key Laboratory for Power machinery and Engineering of M. O. E., Shanghai Jiao Tong University, No. 800, Dongchuan Road, 200240 Shanghai, PR China.
出版信息
Sci Total Environ. 2020 Jul 1;724:138059. doi: 10.1016/j.scitotenv.2020.138059. Epub 2020 Mar 19.
The use of titanium dioxide (TiO) photocatalytic nanoparticles as road coating to trap and decompose air pollutants provides a promising technology to mitigate the harmful effects of vehicle emissions. However, there are few studies on computational fluid dynamics (CFD) simulations of the effect of NOx photocatalytic oxidation in street canyon with TiO nanoparticles as pavement coating. This study develop a CFD model with photocatalytic oxidation (PCO) reaction implemented for numerical simulation of NO abatement in an urban street canyon with TiO coating, considering the effects of relative humidity (RH) (10-90%), and irradiance (10-40W ⋅ m). Results show that TiO coating road can effectively reduce nitrogen oxide (NO) concentration in the street canyon. The average nitric oxide (NO) and nitrogen dioxide (NO) concentrations in street canyon with TiO coating road were reduced by 3.70% and 4.31%, respectively, comparing with street canyon without TiO coating. The irradiance and relative humidity had great effect on PCO reaction in street canyon with TiO coating road. When the irradiance increased from 10W ⋅ m to 40W ⋅ m average NO conversion rose from 1.35% to 3.70%, and average NO conversion rose from 2.43% to 4.31%. The average conversion of NO and NO decreased from 5.11% to 2.54% and from 5.60% to 3.25%, respectively, when the relative humidity is varied from 10% to 90%. Results are useful to transport planners and road engineers who need to reduce NOx concentrations in urban streets travelled by fossil fuel-powered vehicles. Method of the study can be considered by future research faced with different pavement construction and traffic environment.
使用二氧化钛（TiO）光催化纳米粒子作为道路涂层来捕获和分解空气污染物，为减轻车辆排放的有害影响提供了一种有前途的技术。然而，关于 TiO 纳米粒子作为路面涂层的街谷中 NOx 光催化氧化效果的计算流体动力学（CFD）模拟研究很少。本研究开发了一个带有光催化氧化（PCO）反应的 CFD 模型，用于数值模拟 TiO 涂层的城市街谷中 NO 的消除，同时考虑了相对湿度（RH）（10-90%）和辐照度（10-40W ⋅ m）的影响。结果表明，TiO 涂层道路可以有效地降低街谷中的氮氧化物（NO）浓度。与没有 TiO 涂层的街谷相比，TiO 涂层道路的街谷中平均一氧化氮（NO）和二氧化氮（NO2）浓度分别降低了 3.70%和 4.31%。辐照度和相对湿度对 TiO 涂层道路街谷中的 PCO 反应有很大影响。当辐照度从 10W ⋅ m 增加到 40W ⋅ m 时，平均 NO 转化率从 1.35%增加到 3.70%，平均 NO 转化率从 2.43%增加到 4.31%。当相对湿度从 10%变化到 90%时，NO 和 NO 的平均转化率从 5.11%分别降低到 2.54%和从 5.60%降低到 3.25%。结果对需要降低化石燃料车辆在城市街道上行驶的 NOx 浓度的交通规划者和道路工程师有用。未来的研究可以考虑本研究的方法，以面对不同的路面施工和交通环境。
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