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A novel 1D approach for the simulation of unsteady reacting flows in diesel exhaust after-treatment systems

Author

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  • Piscaglia, F.
  • Ferrari, G.

Abstract

A new one-dimensional approach, based on the solution of the governing equations for unsteady, reacting and compressible flows has been developed for the simulation of the hydrodynamics, the transient filtration/loading and the catalytic/NO2-assisted regeneration occurring in diesel particulate filters (DPF). The model is able to keep track of the chemical compounds, of the amount of soot transported by the flow, and it can estimate the increasing of back-pressure occurring in the exhaust system, due to the permeability variation of the porous wall and to the soot cake building up on the DPF porous surface. Further, a prediction of the oxidation of the deposited particulate induced by the Oxygen (collected in the exhaust gas), by the nitrogen dioxide (NO2), by the carbon oxide (CO) and by the hydrocarbons (HC) converted along the diesel oxidation catalysts (DOC) is given.

Suggested Citation

  • Piscaglia, F. & Ferrari, G., 2009. "A novel 1D approach for the simulation of unsteady reacting flows in diesel exhaust after-treatment systems," Energy, Elsevier, vol. 34(12), pages 2051-2062.
    • Handle: RePEc:eee:energy:v:34:y:2009:i:12:p:2051-2062
    DOI: 10.1016/j.energy.2008.08.022
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    Citations

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    Cited by:

    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. 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.
    3. Torregrosa, A.J. & Serrano, J.R. & Arnau, F.J. & Piqueras, P., 2011. "A fluid dynamic model for unsteady compressible flow in wall-flow diesel particulate filters," Energy, Elsevier, vol. 36(1), pages 671-684.
    4. Cornolti, L. & Onorati, A. & Cerri, T. & Montenegro, G. & Piscaglia, F., 2013. "1D simulation of a turbocharged Diesel engine with comparison of short and long EGR route solutions," Applied Energy, Elsevier, vol. 111(C), pages 1-15.
    5. Payri, F. & Broatch, A. & Serrano, J.R. & Piqueras, P., 2011. "Experimental–theoretical methodology for determination of inertial pressure drop distribution and pore structure properties in wall-flow diesel particulate filters (DPFs)," Energy, Elsevier, vol. 36(12), pages 6731-6744.
    6. Qiu, Tao & Li, Ning & Lei, Yan & Sang, Hailang & Ma, Xuejian & Liu, Zedu, 2024. "Research on the method of diesel particulate filters carbon load recognition based on deep learning," Energy, Elsevier, vol. 292(C).
    7. Tsuneyoshi, Koji & Yamamoto, Kazuhiro, 2012. "A study on the cell structure and the performances of wall-flow diesel particulate filter," Energy, Elsevier, vol. 48(1), pages 492-499.
    8. Lapuerta, Magín & Rodríguez-Fernández, José & Oliva, Fermín, 2012. "Effect of soot accumulation in a diesel particle filter on the combustion process and gaseous emissions," Energy, Elsevier, vol. 47(1), pages 543-552.

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