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Packed bed of spherical particles approach for pressure drop prediction in wall-flow DPFs (diesel particulate filters) under soot loading conditions

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  • Serrano, José Ramón
  • Arnau, Francisco José
  • Piqueras, Pedro
  • García-Afonso, Óscar

Abstract

The soot loading process in wall-flow DPFs (diesel particulate filters) affects the substrate structure depending on the filtration regime and produces the increase of pressure drop. Deep bed filtration regime produces the decrease of the porous wall permeability because of the soot particulates deposition inside it. Additionally, a layer of soot particulates grows on the porous wall surface when it becomes saturated. As soot loading increases, the pressure drop across the DPF depends on the porous wall and particulate layer permeabilities, which are in turn function of the substrate and soot properties. The need to consider the DPF pressure drop influence on engine performance analysis or DPF regeneration processes requires the use of low-computational effort models describing the structure of the soot deposition and its effect on permeability. This paper presents a model to describe the micro-scale of the porous wall and the particulate layer structure assuming them as packed beds of spherical particles. To assess the model's capability, it is applied to predict the DPF pressure drop under different experimental conditions in soot loading, mass flow and gas temperature.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:58:y:2013:i:c:p:644-654
    DOI: 10.1016/j.energy.2013.05.051
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    References listed on IDEAS

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    1. 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.
    2. 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.
    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.
    4. Zhao, Xiaohuan & Jiang, Jiang & Zuo, Hongyan & Jia, Guohai, 2023. "Soot combustion characteristics of oxygen concentration and regeneration temperature effect on continuous pulsation regeneration in diesel particulate filter for heavy-duty truck," Energy, Elsevier, vol. 264(C).
    5. 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.
    6. Bermúdez, Vicente & Luján, José Manuel & Piqueras, Pedro & Campos, Daniel, 2014. "Pollutants emission and particle behavior in a pre-turbo aftertreatment light-duty diesel engine," Energy, Elsevier, vol. 66(C), pages 509-522.
    7. Serrano, José Ramón & Climent, Héctor & Piqueras, Pedro & Angiolini, Emanuele, 2016. "Filtration modelling in wall-flow particulate filters of low soot penetration thickness," Energy, Elsevier, vol. 112(C), pages 883-898.
    8. Seok, Jungmin & Chun, Kwang Min & Song, Soonho & Lee, Jeongmin, 2014. "An empirical study of the dry soot filtration behavior of a metal foam filter on a particle number concentration basis," Energy, Elsevier, vol. 76(C), pages 949-957.
    9. Bermúdez, Vicente & Serrano, José Ramón & Piqueras, Pedro & Campos, Daniel, 2015. "Analysis of the influence of pre-DPF water injection technique on pollutants emission," Energy, Elsevier, vol. 89(C), pages 778-792.
    10. Hasannuddin, A.K. & Wira, J.Y. & Sarah, S. & Ahmad, M.I. & Aizam, S.A. & Aiman, M.A.B. & Watanabe, S. & Hirofumi, N. & Azrin, M.A., 2016. "Durability studies of single cylinder diesel engine running on emulsion fuel," Energy, Elsevier, vol. 94(C), pages 557-568.
    11. Bermúdez, V. & Serrano, J.R. & Piqueras, P. & García-Afonso, O., 2015. "Pre-DPF water injection technique for pressure drop control in loaded wall-flow diesel particulate filters," Applied Energy, Elsevier, vol. 140(C), pages 234-245.
    12. 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).
    13. Torregrosa, Antonio José & Serrano, José Ramón & Piqueras, Pedro & García-Afonso, Óscar, 2017. "Experimental and computational approach to the transient behaviour of wall-flow diesel particulate filters," Energy, Elsevier, vol. 119(C), pages 887-900.

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