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Rapid Estimation of NO Oxidation Kinetic Data from Experiments
Author(s) -
Dubbe Hendrik,
Bühner Florian,
Nieken Ulrich
Publication year - 2018
Publication title -
chemie ingenieur technik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 36
eISSN - 1522-2640
pISSN - 0009-286X
DOI - 10.1002/cite.201700171
Subject(s) - kinetic energy , automotive industry , monolith , exhaust gas , test bench , set (abstract data type) , kinetics , variety (cybernetics) , estimation theory , chemistry , field (mathematics) , catalysis , computer science , process engineering , thermodynamics , mathematics , algorithm , engineering , statistics , organic chemistry , physics , quantum mechanics , programming language , embedded system , pure mathematics
Parameter estimation for Langmuir‐Hinshelwood/Hougen‐Watson type of kinetics in the field of automotive exhaust gas aftertreatment can be challenging as a great variety of parameter sets can result in a similar model quality as rate and inhibition parameters can interact during numerical optimization although they can be regarded independent from theory. This contribution introduces a method that enables the model‐based rapid estimation of NO oxidation kinetic information on a Pt‐only monolith catalyst from a straightforward set of synthesis gas test‐bench experiments.