exhaust purification
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2021 ◽  
Vol 516 ◽  
pp. 111991
Author(s):  
Zhengxu Chen ◽  
Dezhou Luo ◽  
Huangwei Zhang ◽  
Na Zhang ◽  
Junqi Li ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yaozong Ma ◽  
Lilin Li ◽  
Hua Wang ◽  
Wensheng Wang ◽  
Kunkun Zheng

Automobile exhaust pollution is a serious problem that restricts urban development, and it poses a serious threat to people’s lives and health and even the climate. At present, the treatment of automobile exhaust has attracted people’s attention, and numerous works have been focused on it thereafter. The purpose of the present study is to drive TiO2 nanoparticles application into pavement, and the study present an experimental investigation of performances and automobile exhaust purification of asphalt and its mixture modified by nano-TiO2. In this work, a series of rheometer properties and pavement performances were studied, including penetration, softening point, ductility, DSR and BBR for asphalt binder, conventional pavement performances, and creep test for asphalt mixture. Moreover, the photocatalytic degradation test of automobile exhaust was conducted to assess degradation of TiO2 nanoparticles in the asphalt mixture on automobile exhaust. Results indicate that the TiO2 nanoparticle was beneficial to increase the viscosity and reduce the temperature sensitivity, which would enhance its high-temperature stabilization capability of asphalt. Meanwhile, nano-TiO2 can significantly enhance the rheometer properties of asphalt and its capacity of high-temperature antirutting, and its low-temperature performance could also comply with the specification. Besides, the incorporation of nano-TiO2 in mixtures could effectively enhance the antirutting and anticracking as well as water stabilization. Moreover, the nano-TiO2-modified asphalt mixture possesses a positive impact on photocatalytic degradation of CH and NOx, which could provide a reference for the treatment of automobile exhaust. The photocatalytic degradation effect of asphalt mixtures modified by nano-TiO2 on NOx is significantly better than that of CH.


2020 ◽  
Author(s):  
Rongzhi Tang ◽  
Quanyang Lu ◽  
Song Guo ◽  
Hui Wang ◽  
Kai Song ◽  
...  

Abstract. In the present work, we performed chassis dynamometer experiments to investigate the emissions and secondary organic aerosol (SOA) formation potential of intermediate volatility organic compounds (IVOCs) from an on-road Chinese gasoline vehicle. High IVOCs emission factors (EFs) and distinct volatility distribution were recognized. The IVOCs EFs for the China V vehicle ranged from 12.1 to 226.3 mg · kg-fuel−1, with a median value of 83.7 mg · kg-fuel−1, which is higher than that from US vehicles. Besides, large discrepancy in volatility distribution and chemical composition of IVOCs from Chinese gasoline vehicle exhaust is discovered, with larger contributions of B14-B16 compounds and higher percentage of n-alkanes. Further we investigated the possible reasons that influence the IVOCs EFs and volatility distribution and found that fuel type, starting mode, operating cycles and acceleration rates could have an impact on the IVOCs EF. When using E10 (ethanol volume ratio of 10 %, v / v) as fuel, the IVOCs EF of the tested vehicle was lower than that using commercial China standard V fuel. Cold-start operation has higher IVOCs EF than hot-start operation. Chinese Light vehicles Test Cycle (CLTC) produced 70 % higher IVOCs than those from the World-wide harmonized Light-duty Test Cycle (WLTC). We found that vehicle emitted more IVOCs at lower acceleration rates, which leads to high EFs under CLTC. The only factor that may influence the volatility distribution and compound composition is the engine-aftertreatment system, which has compound and volatility selectivity in exhaust purification. These distinct characteristics in EFs and volatility may result in higher SOA formation potential in China. Using published yield data and surrogate equivalent method, we estimated SOA formation under different OA loading and NOx conditions. Results showed that under low and high NOx conditions at different OA loadings, IVOCs contributes more than 80% of the predicted SOA. Furthermore, we built up a parameterization method to simply estimate the vehicular SOA based on our bottom-up measurement of VOCs and IVOCs, which would provide another dimension of information when considering the vehicular contribution to the ambient OA. Our results indicate that vehicular IVOCs contribute significantly to SOA, implying that the importance of reducing IVOCs when making air pollution controlling policies in urban area of China.


2020 ◽  
Vol 247 ◽  
pp. 122867
Author(s):  
Shengchao Cui ◽  
Rui Li ◽  
Jianzhong Pei ◽  
Yong Wen ◽  
Yang Li ◽  
...  

2020 ◽  
Vol 488 ◽  
pp. 110913
Author(s):  
Jon A. Onrubia-Calvo ◽  
Beñat Pereda-Ayo ◽  
Iñigo Cabrejas ◽  
Unai De-La-Torre ◽  
Juan R. González-Velasco

Catalysts ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 577 ◽  
Author(s):  
Xiurong Guo ◽  
Khanh Hop Ha ◽  
Danfeng Du

Herein, a novel process of diesel exhaust purification by non-thermal plasma combined with wood fiber has been investigated to understand the effect of purification efficiency on the emission. The dielectric barrier discharge (DBD) and wood fiber (WF) improved removal efficiency of nitrogen oxide (NOx) owing to the positive activity of oxygen-containing functional groups (such as O–H groups or C–O groups) on the wood surface, which promoted the removal of NOx by 10%–13%. The mechanism to remove NOx in the presence of wood fibers was also deduced through FTIR spectra. When carbon black was loaded on the wood fiber, there was simultaneous removal of carbon soot and NOX. Although complete purification was not achieved, a high purification efficiency was obtained under the conditions of room temperature and no catalysts. These advantages highlight the importance of use of wood and non-thermal plasma (NTP), and this research work opens new avenues in the field of emissions treatment.


2020 ◽  
Vol 239 ◽  
pp. 116520 ◽  
Author(s):  
Shengchao Cui ◽  
Rui Li ◽  
Chundong Zhu ◽  
Jianzhong Pei ◽  
Yong Wen

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