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Erschienen in: Emission Control Science and Technology 2/2017

23.12.2016

Natural Gas Engine Emission Reduction by Catalysts

verfasst von: Kati Lehtoranta, Timo Murtonen, Hannu Vesala, Päivi Koponen, Jenni Alanen, Pauli Simonen, Topi Rönkkö, Hilkka Timonen, Sanna Saarikoski, Teuvo Maunula, Kauko Kallinen, Satu Korhonen

Erschienen in: Emission Control Science and Technology | Ausgabe 2/2017

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Abstract

In order to meet stringent emission limits, after-treatment systems are increasingly utilized in natural gas engine applications. In this work, two catalyst systems were studied in order to clarify how the catalysts affect, e.g. hydrocarbons, NO x and particles present in natural gas engine exhaust. A passenger car engine modified to run with natural gas was used in a research facility with possibilities to modify the exhaust gas properties. High NO x reductions were observed when using selective catalytic reduction, although a clear decrease in the NO x reduction was recorded at higher temperatures. The relatively fresh methane oxidation catalyst was found to reach reductions greater than 50% when the exhaust temperature and the catalyst size were sufficient. Both the studied catalyst systems were found to have a significant effect on particulate emissions. The observed particle mass reduction was found to be due to a decrease in the amount of organics passing over the catalyst. However, especially at high exhaust temperatures, high nanoparticle concentrations were observed downstream of the catalysts together with higher sulphate concentrations in particles. This study contributes to understanding emissions from future natural gas engine applications with catalysts in use.

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Metadaten
Titel
Natural Gas Engine Emission Reduction by Catalysts
verfasst von
Kati Lehtoranta
Timo Murtonen
Hannu Vesala
Päivi Koponen
Jenni Alanen
Pauli Simonen
Topi Rönkkö
Hilkka Timonen
Sanna Saarikoski
Teuvo Maunula
Kauko Kallinen
Satu Korhonen
Publikationsdatum
23.12.2016
Verlag
Springer International Publishing
Erschienen in
Emission Control Science and Technology / Ausgabe 2/2017
Print ISSN: 2199-3629
Elektronische ISSN: 2199-3637
DOI
https://doi.org/10.1007/s40825-016-0057-8

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