Investigations of NO2 in Legal Test Procedure for Diesel Passenger Cars

Czerwinski, Jan (2015). Investigations of NO2 in Legal Test Procedure for Diesel Passenger Cars In: ICE2015 - 12th International Conference on Engines & Vehicles. Capri, Napoli. 13.09.2015 - 17.09.2015.

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As a result of increased use of catalytic exhaust aftertreatment systems of vehicles and the low-sulfur Diesel fuels there is an increasing share of nitrogen dioxide NO2 in the ambient air of several cities. This is in spite of lowering the summary nitric oxides NOx emissions from vehicles. NO2 is much more toxic than nitrogen monoxide NO and it will be specially considered in the next legal testing procedures. There are doubts about the accuracy of analyzing the reactive substances from diluted gas and this project has the objective to show how NO2 is changing as it travels down through the exhaust- and the CVS systems. For legal measurements of NO2 a WLTP-DTP subgroup (Worldwide Light Duty Test Procedures - Diesel Test Procedures) proposed different combinations of NOx-analyzers and analysis of NO and NOx. Some of these set-ups were tested in this work. The investigated WLTP - NO2-measuring methods have been found in the present work as useful tools to estimate the NO2-levels and there were no indications of reactivity at these low concentration levels. Generally there are no clear tendencies of increasing, or decreasing concentrations of the investigated NO2 along the gas way. This is the result of different factors, like: reactivity (theoretically influenced by the conditions of flow, temperature and concentrations of reactants), estimate of dilution factor and also emission fluctuations of the vehicle during the test time. The paper also shows some difficulties which arise by estimate of low emission concentrations influenced by several systems and conditions.

Item Type:	Conference or Workshop Item (Paper)
Division/Institute:	School of Engineering and Computer Science > Institute for Energy and Mobility Research IEM School of Engineering and Computer Science
Name:	Czerwinski, Jan
Language:	English
Submitter:	Service Account
Date Deposited:	20 Nov 2019 09:34
Last Modified:	20 Nov 2019 09:34
URI:	https://arbor.bfh.ch/id/eprint/7613