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Selective Catalytic Reduction Catalyst Modeling for Control Purposes

Author

Listed:
  • 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)

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.

Suggested Citation

  • Olov Holmer & Lars Eriksson, 2022. "Selective Catalytic Reduction Catalyst Modeling for Control Purposes," Energies, MDPI, vol. 15(21), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8182-:d:961511
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    References listed on IDEAS

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    1. Wei, Li & Yan, Fuwu & Hu, Jie & Xi, Guangwei & Liu, Bo & Zeng, Jiawei, 2017. "Nox conversion efficiency optimization based on NSGA-II and state-feedback nonlinear model predictive control of selective catalytic reduction system in diesel engine," Applied Energy, Elsevier, vol. 206(C), pages 959-971.
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    Cited by:

    1. Olov Holmer & Lars Eriksson, 2022. "Predictive Emission Management Based on Pre-Heating for Heavy-Duty Powertrains," Energies, MDPI, vol. 15(21), pages 1-17, November.

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