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Modeling of the desulfation process in NO x storage and reduction catalysts
Author(s) -
Lafossas FrancoisAlexandre,
Manetas Christos,
Mohammadi Ali,
Koltsakis Grigorios,
Iida Masahide,
Yoshida Kohei
Publication year - 2017
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.15600
Subject(s) - sulfur , oxygen storage , chemistry , catalysis , process (computing) , flue gas desulfurization , oxygen , process engineering , chemical engineering , computer science , organic chemistry , engineering , operating system
One of the major challenges for the NO x Storage and Reduction Catalysts technology used in automotive exhaust remains the sulfur susceptibility, which calls for efficient desulfation strategies. The sulfation and desulfation processes are systematically studied via measurements and mathematical modeling of the physicochemical processes. The role of oxygen storage which influences the reducing agents availability for desulfation is explained and a respective reaction model is presented. The bulk oxygen storage component appears to be involved in sulfur storage, which further emphasizes the importance of oxygen–sulfur storage interactions. Next, the observed release of sulfur species under lean mode is discussed along with a proposed reaction mechanism which involves SO 2 formation via O 2 reaction with elemental sulfur on the surface. The parameters of the complex reaction model are calibrated in order to reproduce the observed trends at least in a qualitative manner. © 2016 American Institute of Chemical Engineers AIChE J , 63: 2117–2127, 2017