Influence of Aromatic Type on Diesel Emissions Investigated by Blending Narrow-Cut Components and Pure Hydrocarbons Into a Base Fuel

2001 ◽  
Author(s):  
W. S. Neill ◽  
W. L. Chippior ◽  
Ö. L. Gülder
Keyword(s):  
Aromatic Compounds ◽  
Chemical Structure ◽  
Test Procedure ◽  
Diesel Emissions ◽  
Nox Emissions ◽  
Heavy Duty ◽  
Aromatic Content ◽  
Heavy Duty Diesel Engine ◽  
Heavy Duty Diesel ◽  
Steady State Simulation

Abstract The influence of fuel aromatic content and type on the exhaust emissions from a heavy-duty diesel engine were investigated by blending predetermined amounts of aromatic compounds with a known chemical structure into a low-aromatic base fuel. Seven test fuels were blended with constant cetane numbers and densities, but with mono-, di-, and tri-aromatic contents ranging from 10 to 30%, 0 to 10%, and 0 to 8%, respectively. The engine experiments were run using the AVL eight-mode steady-state simulation of the EPA transient test procedure. The results show that fuel total aromatic content or type did not significantly affect the engine’s PM emissions. NOx emissions, however, increased by 4.3% as the fuel mono-aromatic content increased from 10 to 30%.

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

2004 ◽  
Author(s):  
W. Stuart Neill ◽  
Wallace L. Chippior ◽  
Ken Mitchell ◽  
Craig Faibridge ◽  
Rene´ Pigeon ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Methyl Ester ◽  
Test Procedure ◽  
Cetane Number ◽  
Exhaust Emissions ◽  
Nox Emissions ◽  
Heavy Duty ◽  
Heavy Duty Diesel Engine ◽  
Heavy Duty Diesel ◽  
Soy Methyl Ester

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.

scholarly journals Understanding elevated real-world NOx emissions: Heavy-duty diesel engine certification testing versus in-use vehicle testing

Fuel ◽  
2022 ◽  
Vol 307 ◽  
pp. 121771
Author(s):  
Yu Jiang ◽  
Yi Tan ◽  
Jiacheng Yang ◽  
Georgios Karavalakis ◽  
Kent C. Johnson ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Real World ◽  
Nox Emissions ◽  
Heavy Duty ◽  
Certification Testing ◽  
Heavy Duty Diesel Engine ◽  
Heavy Duty Diesel ◽  
Vehicle Testing

Technical Note: Neural network modelling of the emissions and performance of a heavy-duty diesel engine

2000 ◽  
Vol 214 (2) ◽  
pp. 111-126 ◽  
Author(s):  
G. J. Thompson ◽  
C. M. Atkinson ◽  
N. N. Clark ◽  
T. W. Long ◽  
E Hanzevack
Keyword(s):  
Neural Network ◽  
Diesel Engine ◽  
Adaptive Learning ◽  
Internal Combustion Engines ◽  
Test Procedure ◽  
Exhaust Emissions ◽  
Neural Net ◽  
Heavy Duty ◽  
Heavy Duty Diesel Engine ◽  
Heavy Duty Diesel

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.

Influence of Fuel Aromatics Type on the Particulate Matter and NOx Emissions of a Heavy-Duty Diesel Engine

2000 ◽  
Author(s):  
W. Stuart Neill ◽  
Wallace L. Chippior ◽  
Ömer L. Gülder ◽  
Jean Cooley ◽  
E. Keith Richardson ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Diesel Engine ◽  
Nox Emissions ◽  
Heavy Duty ◽  
Heavy Duty Diesel Engine ◽  
Heavy Duty Diesel
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