Sauli Halonen, Satu Pitkäaho, Tiina M. Pääkkönen, Esa Väisänen, Mauri Haataja, A novel method for automated SCR catalyst uniformity measurement, Chemical Engineering Journal, Volume 425, 2021, 130257, ISSN 1385-8947, https://doi.org/10.1016/j.cej.2021.130257
A novel method for automated SCR catalyst uniformity measurement
|Author:||Halonen, Sauli1,2; Pitkäaho, Satu3; Pääkkönen, Tiina M.3;|
1Proventia Oyj, Tietotie 1, FI-90460 Oulunsalo, Finland
2Materials and Mechanical Engineering, University of Oulu, P.O. Box 3000, FI-90014 Oulu, Finland
3Environmental and Chemical Engineering, University of Oulu, P.O. Box 4300, FI-90014 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 22.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022012510240
|Publish Date:|| 2022-01-25
Exhaust after treatment systems are becoming more complicated with the ever-stricter emission regulations. To meet the regulation limits, a tightly packed high-performance system is required. In selective catalytic reduction (SCR) systems, ammonia (NH³) uniformity is a key performance indicator. In this work, a low flow intrusion automated device was designed to measure NOₜ reduction from the SCR catalyst outlet. A topological surface was reconstructed from the measurement data to obtain the shape of the distribution. Before the actual measurements, the method was theoretically tested with distribution extracted from computational fluid dynamics (CFD) simulations. The results show that in stable engine load conditions, uncertainty of the measurement was low, approximately 1.1% from the measured value. In the case of high uniformity, a satisfactory result can be obtained with 10 to 20 measurement positions, whereas in the case of low uniformity, the number of positions should be increased. The distribution shape between the measurements was consistent throughout the measurements.
Chemical engineering journal
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
216 Materials engineering
This study was supported by Proventia Oyj.
© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).