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Modelling both the NH3 Storage on Automotive SCR Catalysts and the Radio-Frequency-Based Response

Title data

Dietrich, Markus ; Hagen, Gunter ; Moos, Ralf:
Modelling both the NH3 Storage on Automotive SCR Catalysts and the Radio-Frequency-Based Response.
2018
Event: CAPOC11 - 11th International Congress on Catalysis and Automotive Pollution Control , Oct. 29 - 31, 2018 , Brussels, Belgium.
(Conference item: Conference , Speech )

Abstract in another language

Since the ammonia (NH3) based selective catalytic reduction is today’s main DeNOx strategy to meet the emission limits for Diesel cars, research focuses on sensor and control approaches for higher conversion efficiencies and system robustness. One novel approach is the catalyst state monitoring based on radio frequencies (RF). It has proven its functionality to monitor the NH3 loading on SCR catalysts directly in previous studies. This study shows the first attempt to fully describe the whole RF SCR system by simulation. A divided model into the chemical reactions and the RF response is presented and parameterized on experimental test runs. The application of the adjusted model on a test run that was not included in parameter fitting correlates well with the simulated signals and the measured catalyst behavior as well as with the RF response.

Further data

Item Type: Conference item (Speech)
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
Faculties
Faculties > Faculty of Engineering Science > Chair Functional Materials
Profile Fields
Profile Fields > Advanced Fields
Research Institutions
Research Institutions > Research Centres
Research Institutions > Research Units
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 07 Nov 2018 12:43
Last Modified: 07 Nov 2018 12:43
URI: https://eref.uni-bayreuth.de/id/eprint/46239