Study of cold start air–fuel mixture parameters for spark ignition engines fueled with gasoline–isobutanol blends

Author(s):  
Adrian Irimescu
2021 ◽  
Author(s):  
Joseph Woodburn

This paper reviews the emissions of reactive nitrogen compounds (RNCs) from modern vehicles fitted with spark ignition en-gines and three-way catalysts. Specific aspects of the pollutants involved – and their formation – are discussed. Cold start driving cycles are scenarios under which emissions of all four RNCs can be significant; the mechanisms behind emissions trends are ex-plored. Experimental data obtained from two vehicles tested over two different cold start driving cycles are presented and analysed. The use of gravimetric and molar metrics are explored. Ammonia, a species which is currently not regulated for passenger cars in any automotive market, is identified as forming the majority of the RNC emissions over the entire driving cycle. While ammonia emissions are strongly linked to aftertreatment system warmup and periods of high load, significant ammonia emissions were also measured under certain hot-running, low load conditions, and even at idle. For the majority of the duration of the test procedures employed, the RNC profile was dominated by ammonia, which accounted for between 69% and 86% of measured RNCs in the ex-haust gas. Emissions are compared to the available legislative precedents (i.e. emissions limits currently in force in various jurisdic-tions). Finally, possibilities for control of exhaust emissions of currently unregulated RNCs are briefly discussed.


2014 ◽  
Vol 977 ◽  
pp. 47-50
Author(s):  
Mei Yu Shi ◽  
Rong Fu Zhu ◽  
Jiang Li ◽  
Yuan Tao Sun

The influence of butanol/gasoline blends at low temperature for-7°C, on cold-start emissions of a spark-ignition engine was tested. In cold-start period of the engine, the efficiency of the engine was expected to be poor, and the air/fuel mixture would be leaner for the more butanol added. The experimental results showed that the engine could be stable with B10 and B30 in cold-start, and HC and CO emissions reduced more significantly with more butanol added.


2005 ◽  
Vol 11 (3) ◽  
pp. 371-379 ◽  
Author(s):  
G. Litak ◽  
M. Wendeker ◽  
M. Krupa ◽  
J. Czarnigowski

We examine a simple, fuel-air model of combustion in a spark ignition (SI) engine with indirect injection. In our two-fluid model, variations of fuel mass burned in cycle sequences appear due to stochastic fluctuations of a fuel feed amount. We have shown that a small amplitude of these fluctuations affects considerably the stability of a combustion process strongly depending on the quality of the air-fuel mixture. The largest influence was found in the limit of a lean combustion. The possible effect of nonlinearities in the combustion process has been also discussed.


2016 ◽  
Vol 823 ◽  
pp. 291-296 ◽  
Author(s):  
Ion Lespezeanu ◽  
Florin Marius Militaru ◽  
Octavian Alexa ◽  
Constantin Ovidiu Ilie ◽  
Marin Marinescu

Flow corrections established based on Lambda control system of spark ignition engines, determines in a decisively way the quality of air-fuel mixture. Faults in the operation of the control system generates deviations of the mixture composition from stoichiometric report, in this way affecting the entire combustion process in engine cylinders. This phenomenon leads, among others, to changes regarding the density of pollutant emissions from exhaust gases. In this context, this paper presents experimental researches made using the simulation of faults that may occur in the control system to highlight their influence on the concentration of engine emissions.


2014 ◽  
Vol 18 (1) ◽  
pp. 179-191 ◽  
Author(s):  
Raja Samuel ◽  
Arasu Valan

The cold start hydrocarbon emission from the increasing population of two wheelers in countries like India is one of the research issues to be addressed. This work describes the prediction of cold start hydrocarbon emissions from air cooled spark ignition engines through fuzzy logic technique. Hydrocarbon emissions were experimentally measured from test engines of different cubic capacity, at different lubricating oil temperature and at different idling speeds with and without secondary air supply in exhaust. The experimental data were used as input for modeling average hydrocarbon emissions for 180 seconds counted from cold start and warm start of gasoline bike engines. In fuzzy logic simulation, member functions were assigned for input variables (cubic capacity and idling rpm) and output variables (average hydrocarbon emission for first 180 seconds at cold start and warm start). The knowledge based rules were adopted from the analyzed experimental data and separate simulations were carried out for predicting hydrocarbon emissions from engines equipped with and without secondary air supply. The simulation yielded the average hydrocarbon emissions of air cooled gasoline engine for a set of given input data with accuracy over 90%.


2011 ◽  
Vol 44 (1) ◽  
pp. 13022-13027 ◽  
Author(s):  
Farzad Keynejad ◽  
Chris Manzie

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