scholarly journals The Influence of High Cetane Blending Components on Emissions From a Heavy-Duty Diesel Engine With EGR

Author(s):  
W. Stuart Neill ◽  
Wallace L. Chippior ◽  
Ken Mitchell ◽  
Craig Faibridge ◽  
Rene´ Pigeon ◽  
...  

The exhaust emissions form a single-cylinder version of a heavy-duty diesel engine with exhaust gas recirculation (EGR) were measured with eight high-cetane components blended into an ultra-low sulphur diesel base fuel. the blending components evaluated were conventional nitrate and peroxide cetane improver additives, paraffins from two sources, three ethers, and soy methyl ester. The blending components were used to increase the cetane number of a base fuel by ten numbers, from 44 to 54. Exhaust emissions were measured using the AVL eight-mode steady-state test procedure. PM and NOx emissions from the engine were fairly insensitive to ignition quality improvement by nitrate and peroxide cetane improvers. Soy methyl ester and two of the ethers, 1,4 diethoxybutane and 2-ethoxyethyl ether, significantly reduced PM emissions, but increased ONx emissions. The two paraffinic blending components reduced both PM and NOx emissions.

Author(s):  
G. J. Thompson ◽  
C. M. Atkinson ◽  
N. N. Clark ◽  
T. W. Long ◽  
E Hanzevack

Internal combustion engines are being required to comply with increasingly stringent government exhaust emissions regulations. Compression ignition (CI) piston engines will continue to be used in cost-sensitive fuel applications such as in heavy-duty buses and trucks, power generation, locomotives and off-highway applications, and will find application in hybrid electric vehicles. Close control of combustion in these engines will be essential to achieve ever-increasing efficiency improvements while meeting increasingly stringent emissions standards. The engines of the future will require significantly more complex control than existing map-based control strategies, having many more degrees of freedom than those of today. Neural network (NN)-based engine modelling offers the potential for a multidimensional, adaptive, learning control system that does not require knowledge of the governing equations for engine performance or the combustion kinetics of emissions formation that a conventional map-based engine model requires. The application of a neural network to model the output torque and exhaust emissions from a modern heavy-duty diesel engine (Navistar T444E) is shown to be able to predict the continuous torque and exhaust emissions from a heavy-duty diesel engine for the Federal heavy-duty engine transient test procedure (FTP) cycle and two random cycles to within 5 per cent of their measured values after only 100 min of transient dynamometer training. Applications of such a neural net model include emissions virtual sensing, on-board diagnostics (OBD) and engine control strategy optimization.


Fuel ◽  
2022 ◽  
Vol 307 ◽  
pp. 121771
Author(s):  
Yu Jiang ◽  
Yi Tan ◽  
Jiacheng Yang ◽  
Georgios Karavalakis ◽  
Kent C. Johnson ◽  
...  

2013 ◽  
Author(s):  
Alessandro Cozzolini ◽  
Daniele Littera ◽  
Ross Ryskamp ◽  
John Smallwood ◽  
Marc Besch ◽  
...  

Fuel ◽  
2017 ◽  
Vol 203 ◽  
pp. 57-67 ◽  
Author(s):  
Stefano Emanuele Iannuzzi ◽  
Christophe Barro ◽  
Konstantinos Boulouchos ◽  
Jakob Burger

Author(s):  
C. Liew ◽  
H. Li ◽  
S. Liu ◽  
M. C. Besch ◽  
B. Ralston ◽  
...  

This paper investigated the effect of hydrogen (H2) addition on the exhaust emissions of a 2004 Mack MP7 355E diesel engine. As expected, the addition of H2 substantially reduced the emissions of particulate matter (PM), unburned hydrocarbon (HC), and carbon dioxide (CO2). However, the effect of H2 addition on the emissions of carbon monoxide (CO) and nitrogen oxide (NOx) depended on the amount of H2 added and the engine load. When preliminarily measured using the 13-mode European Stationary Cycle (ESC), the addition of 2% and 4% (vol. % in intake mixture) H2 significantly increased nitrogen dioxide (NO2) emissions and slightly reduced nitric oxide (NO) emissions. In comparison, the H2 addition only minimally affected NOx emissions. The detailed effects of H2 addition on the exhaust emissions were investigated for various loads at 1200 rpm. The addition of H2 at low load mildly influenced NOx emissions, with the exception of 10% load operation. Adding over 4% H2 at 10% load began to reduce NOx emissions. When operated at medium to high load, the addition of a relatively small amount of H2 slightly reduced NOx emissions. The expected increase in NOx emissions was observed only with the addition of a large amount of H2. When operated at full load, the addition of H2 had negligible effect on NOx emissions. In a few cases, a minor change in H2 flow rate suddenly increased the emissions of NOx. By further increasing or reducing the amount of H2 added, NOx emissions resumed to their expected values. This discrepancy was attributed to the unexpected change in EGR flow rate. Based on the data obtained, it seems infeasible to substantially reduce the exhaust emissions of diesel engine through the addition of a small amount of H2 such as that produced on-board using a small H2O electrolyzer.


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