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Numerical design of the diesel particulate filter for optimum thermal performances during regeneration

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  • Lee, Sang-Jin
  • Jeong, Soo-Jeong
  • Kim, Woo-Seung

Abstract

A minimization of the maximum diesel particulate filter (DPF) wall temperature and fast light-off during regeneration are targets for a high durability of the DPF and a high efficiency of soot regeneration. A one-channel numerical model has been adopted in order to predict the transient thermal response of the DPF. The effect of the ratio of the length to diameter (L/D), cell density, the amount of soot loading on the temporal thermal response and regeneration characteristics have been numerically investigated under two representative running conditions: city driving mode and high speed mode. The results indicated that the maximum wall temperature of the DPF increased with increasing [`]L/D' in [`]high speed mode'. On the contrary, the maximum wall temperature decreases with increasing [`]L/D' in the range of [`]L/DÂ [greater-or-equal, slanted]Â 0.6' in [`]city driving mode'. The maximum temperature decreased with increasing cell density because heat conduction and heat capacity were increased. Before commencing soot regeneration, the maximum allowed soot loading for retaining DPF durability was about 140Â g (5.03Â kg/m3) under [`]city driving mode' and about 200Â g (7.19Â kg/m3) under [`]high speed mode' in this study. The effect of the amount of soot loading on light-off time was negligible.

Suggested Citation

  • Lee, Sang-Jin & Jeong, Soo-Jeong & Kim, Woo-Seung, 2009. "Numerical design of the diesel particulate filter for optimum thermal performances during regeneration," Applied Energy, Elsevier, vol. 86(7-8), pages 1124-1135, July.
    • Handle: RePEc:eee:appene:v:86:y:2009:i:7-8:p:1124-1135
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    Cited by:

    1. Zhao, Xiaohuan & Jiang, Jiang & Mao, Zhengsong, 2023. "Effect of filter material and porosity on the energy storage capacity characteristics of diesel particulate filter thermoelectric conversion mobile energy storage system," Energy, Elsevier, vol. 283(C).
    2. Zhang, Bin & E, Jiaqiang & Gong, Jinke & Yuan, Wenhua & Zuo, Wei & Li, Yu & Fu, Jun, 2016. "Multidisciplinary design optimization of the diesel particulate filter in the composite regeneration process," Applied Energy, Elsevier, vol. 181(C), pages 14-28.
    3. 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.
    4. Jaehwan Jang & Byungchae Min & Seongyool Ahn & Hyunjun Kim & Sangkyung Na & Jeongho Kang & Heehwan Roh & Gyungmin Choi, 2022. "Modeling Differential Pressure of Diesel Particulate Filters in Marine Engines," Energies, MDPI, vol. 15(10), pages 1-12, May.
    5. E, Jiaqiang & Zhao, Xiaohuan & Liu, Guanlin & Zhang, Bin & Zuo, Qingsong & Wei, Kexiang & Li, Hongmei & Han, Dandan & Gong, Jinke, 2019. "Effects analysis on optimal microwave energy consumption in the heating process of composite regeneration for the diesel particulate filter," Applied Energy, Elsevier, vol. 254(C).
    6. Kuwahara, T. & Nishii, S. & Kuroki, T. & Okubo, M., 2013. "Complete regeneration characteristics of diesel particulate filter using ozone injection," Applied Energy, Elsevier, vol. 111(C), pages 652-656.
    7. 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).
    8. Zhong, Chao & Tan, Jiqiu & Zuo, Hongyan & Wu, Xin & Wang, Shaoli & Liu, Junan, 2021. "Synergy effects analysis on CDPF regeneration performance enhancement and NOx concentration reduction of NH3–SCR over Cu–ZSM–5," Energy, Elsevier, vol. 230(C).
    9. Dilip, K.V. & Vasa, Nilesh J. & Carsten, Kopp & Ravindra, K.U., 2011. "Incineration of diesel particulate matter using induction heating technique," Applied Energy, Elsevier, vol. 88(3), pages 938-946, March.
    10. Ye, Jiahao & E, Jiaqiang & Peng, Qingguo, 2023. "Effects of porosity setting and multilayers of diesel particulate filter on the improvement of regeneration performance," Energy, Elsevier, vol. 263(PE).
    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. 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.
    14. 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.
    15. Lao, Chung Ting & Akroyd, Jethro & Eaves, Nickolas & Smith, Alastair & Morgan, Neal & Nurkowski, Daniel & Bhave, Amit & Kraft, Markus, 2020. "Investigation of the impact of the configuration of exhaust after-treatment system for diesel engines," Applied Energy, Elsevier, vol. 267(C).
    16. Luján, José Manuel & Serrano, José Ramon & Piqueras, Pedro & Diesel, Bárbara, 2019. "Turbine and exhaust ports thermal insulation impact on the engine efficiency and aftertreatment inlet temperature," Applied Energy, Elsevier, vol. 240(C), pages 409-423.

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