scholarly journals Evaluating the Real-World NOx Emission from a China VI Heavy-Duty Diesel Vehicle

2021 ◽  
Vol 11 (3) ◽  
pp. 1335 ◽  
Author(s):  
Peng Li ◽  
Lin Lü

The manufacturers of China VI heavy-duty vehicles were required to conduct in-service conformity (ISC) tests by using a portable emissions measurement system (PEMS). The moving averaging window (MAW) method was used to evaluate the NOx emission required by the China VI emission standard. This paper presented the results of four PEMS tests of a China VI (step B) N3 category vehicle. Our analyses revealed that the real NOx emission of the test route was much higher than the result evaluated by the MAW method. We also found the data produced during the urban section of a PEMS test was completely excluded from the evaluation based on the current required boundary conditions. Therefore, in order to ensure the objectivity of the evaluation, this paper proposed three different evaluation methods. Method 1 merely set the power threshold as 10% for valid MAWs; Method 2 reclassified the MAWs into “Urban MAWs”, “Rural MAWs” and “Motorway MAWs” according to the vehicle speed. Method 3 reclassified the MAWs into “Hot MAWs” and “Cold MAWs” according to engine coolant temperature. The NOx emission evaluation results for Method 1 were not satisfactory, but those for Method 2 and Method 3 were close to the real NOx emission, the errors were all within ±10%.

2014 ◽  
Vol 14 (4) ◽  
pp. 4905-4956 ◽  
Author(s):  
N. Chao ◽  
G. Tang ◽  
Y. Wang ◽  
H. Wang ◽  
J. Huang ◽  
...  

Abstract. Vehicular emissions are one of the most important sources of pollution in China, and they can increase the ambient concentrations of air pollutants and degrade the air quality. Using data released by the National Bureau of Statistics, vehicular emissions in China in 2006 and 2010 were calculated at a high spatial resolution, by taking the emission standards into consideration. The results show that China's vehicular emissions of CO, NOx, VOCs, NH3, PM2.5, PM10, black carbon (BC), and organic carbon (OC) were 30113.9, 4593.7, 6838.0, 20.9, 400.2, 430.5, 285.6, and 105.1 Gg, respectively, in 2006 and 34175.2, 5167.5, 7029.4, 74.0, 386.4, 417.1, 270.9, and 106.2 Gg, respectively, in 2010. CO, VOCs, and NH3 emissions were mainly from motorcycles and light-duty gasoline vehicles, whereas NOx, PM2.5, PM10, and BC emissions were mainly from rural vehicles and heavy-duty diesel trucks. OC emissions were mainly from motorcycles and heavy-duty diesel trucks. Euro 0 and Euro I vehicles were the primary contributors to all of the pollutant emissions except NH3, which was mainly from Euro III and Euro IV vehicles. The spatial distribution of vehicular emissions in China in 2006 and 2010 were developed at a high resolution of 0.25° × 0.25°, by using the road traffic density to characterize the busyness of a road. This method could overcome the problem of getting traffic flow information and make the spatial allocation more closed to the actual road emissions. The results showed that vehicular emissions presented significant regional spatial distribution, and emissions in the eastern and southern parts of China were much higher than those in western and northern China in both years. The North China Plain, Yangtze River Delta, and Pearl River Delta regions jointly accounted for nearly half of the emissions. NH3 emissions increased greatly in big cities from 2006 to 2010. Emissions of CO, NOx, and VOCs could increase 52%, 9%, and 68%, if the emission standard and oil quality remained in the Euro I stage, so the policies on vehicular emissions implemented in China were demonstrated to be effective. Nevertheless, greater efforts are needed to improve the oil quality so that the new emission standard can implement timely and catch the international level quickly, especially the sulfur level because NOx emission is very sensitive to it. By comparing with coal consumption and NO2 column density observed by SCIA satellite, the increase of NOx emission in China from 2006 to 2010 was mainly caused by coal consumption.


2004 ◽  
Author(s):  
John Schwoerer ◽  
Sotir Dodi ◽  
Marty Fox ◽  
Shengqiang Huang ◽  
Zhou Yang

2018 ◽  
Vol 11 (6) ◽  
pp. 1109-1122 ◽  
Author(s):  
Mufaddel Dahodwala ◽  
Satyum Joshi ◽  
Erik W. Koehler ◽  
Michael Franke ◽  
Dean Tomazic

2008 ◽  
Vol 1 (1) ◽  
pp. 185-199 ◽  
Author(s):  
Thomas L. Darlington ◽  
Dennis Kahlbaum ◽  
Gregory Thompson

2009 ◽  
Vol 43 (18) ◽  
pp. 2950-2959 ◽  
Author(s):  
Shaohua Hu ◽  
Jorn D. Herner ◽  
Martin Shafer ◽  
William Robertson ◽  
James J. Schauer ◽  
...  

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