期刊
ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 56, 期 11, 页码 6968-6977出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.est.1c05083
关键词
heavy-duty diesel vehicles; NOx emissions; catalytic reactions; redox reactions; environmental pollution; temperature dependence; sensors
资金
- Royal Thai Government
This study presents real-world NOx emissions from 97 diesel-hybrid buses in London, showing that selective catalytic reduction (SCR) retrofitting can significantly reduce emissions. The study also indicates the impact of ambient temperature on NOx emissions, and highlights the effects of reduced congestion during the COVID-19 pandemic on SCR performance.
Buses constitute a significant source of air pollutant emissions in cities. In this study, we present real-world NOx emissions from 97 diesel-hybrid buses measured using on-board diagnostic systems over 44 months and 6.35 million km in London. Each bus had previously been retrofitted with a selective catalytic reduction (SCR) aftertreatment system to reduce emissions of nitrogen oxides (NOx). On average, parallel hybrid (PH) and series hybrid (SH) buses emitted 3.80 g of NOx/km [standard deviation (SD) of 1.02] and 2.37 g of NOx/km (SD of 0.51), respectively. The SCR systems reduced engine-out emissions by 79.8% (SD of 5.0) and 87.2% (SD of 2.9) for the PHs and SHs, respectively. Lower ambient temperatures (0-10 degrees C) increased NOx emissions of the PHs by 24.2% but decreased NOx emissions of the SHs by 27.9% compared to values found at more moderate temperatures (10-20 degrees C). To improve emissions inventories, we provide new distance-based NOx emissions factors for different ranges of ambient temperature. During the COVID-19 pandemic, the emissions benefits of reduced congestion were largely offset by more frequent route layovers leading to lower SCR temperatures and effectiveness. This study shows that continuous in-service measurements enable quantification of real-world vehicle emissions over a wide range of operations that complements conventional testing approaches.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据