Selective catalytic reduction of NOx: a mathematical model for poison accumulation and conversion performance
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3916334
- author
- Khodayari, R and Odenbrand, Ingemar LU
- organization
- publishing date
- 1999
- 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
- 2016-04-01 17:13:02
- date last changed
- 2023-09-05 09:18:29
@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}}, keywords = {{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}}, doi = {{10.1016/S0009-2509(99)00017-2}}, volume = {{54}}, year = {{1999}}, }