Selective Catalytic Reduction Catalyst Modeling for Control Purposes

Olov Holmer and Lars Eriksson ()
Additional contact information
Olov Holmer: Division of Vehicular Systems, Department of Electrical Engineering, Linköping University, 581 83 Linköping, Sweden
Lars Eriksson: Division of Vehicular Systems, Department of Electrical Engineering, Linköping University, 581 83 Linköping, Sweden

Energies, 2022, vol. 15, issue 21, 1-21

Abstract: In markets with strict emission legislations Selective Catalytic Reduction (SCR) has become the industry standard for NO x abatement in heavy-duty vehicles, and therefore modeling and control of these systems are vital. Many SCR catalyst models are available in the literature and in this paper different models are discussed and classified into groups. Two models, based on the two most popular classes for control-oriented models, are implemented and compared with each other, one based on the continuously stirred-tank reactor approximation, and the other on a quasi-static behavior of the gas phase. The results show that assuming a quasi-static behavior of the gas phase in the catalyst gives better results in terms of accuracy and simulation time, especially when it comes to predictions of ammonia slip.

Keywords: engine aftertreatment; fuel-efficient vehicles; emission reduction; SCR catalyst; engine modelling and control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/21/8182/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/21/8182/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:21:p:8182-:d:961511

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().