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Selective catalytic reduction of NOx: a mathematical model for poison accumulation and conversion performance

Khodayari, R and Odenbrand, Ingemar LU (1999) In Chemical Engineering Science 54(12). p.1775-1785
Abstract
A common control technique for limiting nitrogen oxide emissions is selective catalytic reduction (SCR) of NO, with NH,. The lifetime of the catalyst, which has a critical role in overall SCR system economics, is, however, limited due to deactivation by poisoning. A two-dimensional model was developed to describe poison accumulation and activity of an SCR catalyst. The model that has no adjustable parameters accounts for simultaneous effects of internal and external diffusion and chemical kinetics in the SCR process. A validation of the model is accomplished by comparison with data from two different SCR plants. A comparison of different catalyst design variables is also made in terms of conversion after 2000 h operation in the presence of... (More)
A common control technique for limiting nitrogen oxide emissions is selective catalytic reduction (SCR) of NO, with NH,. The lifetime of the catalyst, which has a critical role in overall SCR system economics, is, however, limited due to deactivation by poisoning. A two-dimensional model was developed to describe poison accumulation and activity of an SCR catalyst. The model that has no adjustable parameters accounts for simultaneous effects of internal and external diffusion and chemical kinetics in the SCR process. A validation of the model is accomplished by comparison with data from two different SCR plants. A comparison of different catalyst design variables is also made in terms of conversion after 2000 h operation in the presence of poisons. Simulations showed that it is possible to improve poison resistance of SCR catalyst monoliths by reconfiguration of their pore structure and channel diameter. (C) 1999 Elsevier Science Ltd. All rights reserved. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
NOx reduction, modeling, poison accumulation, activity performance
in
Chemical Engineering Science
volume
54
issue
12
pages
1775 - 1785
publisher
Elsevier
external identifiers
  • wos:000080007600003
  • scopus:0033150210
ISSN
0009-2509
DOI
10.1016/S0009-2509(99)00017-2
language
English
LU publication?
yes
id
ec88b8e5-b0ad-4f12-9b62-94c23dfbfa0a (old id 3916334)
date added to LUP
2013-07-02 14:22:47
date last changed
2017-01-01 07:27:32
@article{ec88b8e5-b0ad-4f12-9b62-94c23dfbfa0a,
  abstract     = {A common control technique for limiting nitrogen oxide emissions is selective catalytic reduction (SCR) of NO, with NH,. The lifetime of the catalyst, which has a critical role in overall SCR system economics, is, however, limited due to deactivation by poisoning. A two-dimensional model was developed to describe poison accumulation and activity of an SCR catalyst. The model that has no adjustable parameters accounts for simultaneous effects of internal and external diffusion and chemical kinetics in the SCR process. A validation of the model is accomplished by comparison with data from two different SCR plants. A comparison of different catalyst design variables is also made in terms of conversion after 2000 h operation in the presence of poisons. Simulations showed that it is possible to improve poison resistance of SCR catalyst monoliths by reconfiguration of their pore structure and channel diameter. (C) 1999 Elsevier Science Ltd. All rights reserved.},
  author       = {Khodayari, R and Odenbrand, Ingemar},
  issn         = {0009-2509},
  keyword      = {NOx reduction,modeling,poison accumulation,activity performance},
  language     = {eng},
  number       = {12},
  pages        = {1775--1785},
  publisher    = {Elsevier},
  series       = {Chemical Engineering Science},
  title        = {Selective catalytic reduction of NOx: a mathematical model for poison accumulation and conversion performance},
  url          = {http://dx.doi.org/10.1016/S0009-2509(99)00017-2},
  volume       = {54},
  year         = {1999},
}