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Radio Frequency-Based Determination of the Oxygen and the NOₓ Storage Level of NOₓ Storage Catalysts

Title data

Walter, Stefanie ; Ruwisch, Lutz ; Göbel, Ulrich ; Hagen, Gunter ; Moos, Ralf:
Radio Frequency-Based Determination of the Oxygen and the NOₓ Storage Level of NOₓ Storage Catalysts.
In: Topics in Catalysis. Vol. 62 (2019) Issue 1-4 . - pp. 157-163.
ISSN 1572-9028
DOI: https://doi.org/10.1007/s11244-018-1079-y

Abstract in another language

In recent years, research on radio frequency-based (also known as “microwave-based”) catalyst state diagnosis for diesel engines has focused mainly on SCR systems. To increase the efficiency of exhaust aftertreatment systems, SCR catalysts can be combined with NOx storage catalysts (NSC). For optimum performance, the degree of loading of the storage components has to be monitored. Up to now, in commercial application this has been done indirectly by using mathematical models. In this paper, the opportunities of a simple radio frequency (RF) based method for a direct determination are highlighted. Therefore, a commercial NSC was investigated between 210 and 390 °C. A linear dependence between the RF signals and the stored amount of NOx was found. Furthermore, the NOx and oxygen gas concentrations do not directly affect the RF parameters, but they have an indirect influence, since the stored NOx amount is NOx concentration dependent. By evaluating multiple RF signals, which are based on different material effects, a separate determination of the oxygen and NOx storage level could be realized.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Functional Materials > Chair Functional Materials - Univ.-Prof. Dr.-Ing. Ralf Moos
Profile Fields > Advanced Fields > Advanced Materials
Research Institutions > Research Centres > Bayreuth Center for Material Science and Engineering - BayMAT
Research Institutions > Research Units > BERC - Bayreuth Engine Research Center
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 25 Mar 2019 09:47
Last Modified: 25 Mar 2019 09:47
URI: https://eref.uni-bayreuth.de/id/eprint/48422