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Internal pore diffusion and adsorption impact on the soot oxidation in wall-flow particulate filters

Author

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  • Macián, V.
  • Serrano, J.R.
  • Piqueras, P.
  • Sanchis, E.J.

Abstract

The automotive industry is driven its efforts to cleaner internal combustion engines. As a result, the engine has become conditioned by the exhaust aftertreatment systems. The regeneration of wall-flow particulate filters (PFs) evidences such an interaction. The PFs prevent the soot emission whereas, as a counterpart, the fuel consumption increases. Consequently, passive and active regeneration strategies are needed to clean the filter back and limit the penalty in CO2. In this context, modelling tools play a key role to achieve a comprehensive understanding and control of the regeneration. In this work, a regeneration model coupled to a one-dimensional compressible unsteady flow solver for PFs is presented. The importance of the main physical and chemical steps related to the soot oxidation is discussed. The influence of the diffusion of gaseous reactants inside the primary soot particles is firstly addressed. The inclusion of this step into the definition of the reaction rate provides temperature dependence to the soot specific surface. Next, the reactants adsorption is analysed. This step leads to define a surface coverage, which behave as an equivalent reaction order. It allows figuring out the influence of the gaseous reactants concentration on the reaction rate and its dependence with the temperature.

Suggested Citation

  • Macián, V. & Serrano, J.R. & Piqueras, P. & Sanchis, E.J., 2019. "Internal pore diffusion and adsorption impact on the soot oxidation in wall-flow particulate filters," Energy, Elsevier, vol. 179(C), pages 407-421.
    • Handle: RePEc:eee:energy:v:179:y:2019:i:c:p:407-421
    DOI: 10.1016/j.energy.2019.04.200
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    References listed on IDEAS

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    3. Luján, José Manuel & Serrano, José Ramón & Piqueras, Pedro & García-Afonso, Óscar, 2015. "Experimental assessment of a pre-turbo aftertreatment configuration in a single stage turbocharged diesel engine. Part 2: Transient operation," Energy, Elsevier, vol. 80(C), pages 614-627.
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    10. Galindo, José & Serrano, José Ramón & Piqueras, Pedro & García-Afonso, Óscar, 2012. "Heat transfer modelling in honeycomb wall-flow diesel particulate filters," Energy, Elsevier, vol. 43(1), pages 201-213.
    11. Jiaqiang, E & Zhao, Xiaohuan & Xie, Longfu & Zhang, Bin & Chen, Jingwei & Zuo, Qingsong & Han, Dandan & Hu, Wenyu & Zhang, Zhiqing, 2019. "Performance enhancement of microwave assisted regeneration in a wall-flow diesel particulate filter based on field synergy theory," Energy, Elsevier, vol. 169(C), pages 719-729.
    12. Tsuneyoshi, Koji & Yamamoto, Kazuhiro, 2013. "Experimental study of hexagonal and square diesel particulate filters under controlled and uncontrolled catalyzed regeneration," Energy, Elsevier, vol. 60(C), pages 325-332.
    13. Millo, Federico & Andreata, Maurizio & Rafigh, Mahsa & Mercuri, Davide & Pozzi, Chiara, 2015. "Impact on vehicle fuel economy of the soot loading on diesel particulate filters made of different substrate materials," Energy, Elsevier, vol. 86(C), pages 19-30.
    14. Serrano, José Ramón & Arnau, Francisco José & Piqueras, Pedro & García-Afonso, Óscar, 2013. "Packed bed of spherical particles approach for pressure drop prediction in wall-flow DPFs (diesel particulate filters) under soot loading conditions," Energy, Elsevier, vol. 58(C), pages 644-654.
    15. Serrano, J.R. & Climent, H. & Piqueras, P. & Angiolini, E., 2014. "Analysis of fluid-dynamic guidelines in diesel particulate filter sizing for fuel consumption reduction in post-turbo and pre-turbo placement," Applied Energy, Elsevier, vol. 132(C), pages 507-523.
    16. Choi, Seungmok & Oh, Kwang-Chul & Lee, Chun-Bum, 2014. "The effects of filter porosity and flow conditions on soot deposition/oxidation and pressure drop in particulate filters," Energy, Elsevier, vol. 77(C), pages 327-337.
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    5. Zhao, Xiaohuan & Zuo, Hongyan & Jia, Guohai, 2022. "Effect analysis on pressure sensitivity performance of diesel particulate filter for heavy-duty truck diesel engine by the nonlinear soot regeneration combustion pressure model," Energy, Elsevier, vol. 257(C).

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