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Exhaust emission characteristics of stoichiometric combustion applying to diesel particulate filter(DPF) and three-way catalytic converter(TWC)

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  • Jo, Seongin
  • Cha, Junepyo
  • Park, Suhan

Abstract

Various researchers study after-treatment system (DPF, SCR, LNT, TWC) to meet the recent strengthening regulation. In this study, we consider the intake air applying to the simulated-EGR which is composed of synthetic constituents (e.g. air, N2, and CO2 gas). Intake air excessively used to simulated-EGR, proceeds with the stoichiometric air-fuel ratio combustion in the cylinder. This stoichiometric exhaust emission was passed through and converted in TWC as well as DPF after-treatment system. We discuss exhaust emission characteristics of stoichiometric combustion applying to DPF and TWC in compression ignition diesel engine. The maximum of the conversion efficiency of NOx is 85.7% at SOI of −18.2° CA. aTDC with simulated-EGR the smoke reduction efficiency of soot is high and is provided over 99% reduction under the stoichiometric condition with reduced O2 mole fraction by adding only N2 and with EGR.

Suggested Citation

  • Jo, Seongin & Cha, Junepyo & Park, Suhan, 2022. "Exhaust emission characteristics of stoichiometric combustion applying to diesel particulate filter(DPF) and three-way catalytic converter(TWC)," Energy, Elsevier, vol. 254(PB).
    • Handle: RePEc:eee:energy:v:254:y:2022:i:pb:s0360544222010994
    DOI: 10.1016/j.energy.2022.124196
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    References listed on IDEAS

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    1. Cha, Junepyo & Yoon, Sungjun & Lee, Seokhwon & Park, Sungwook, 2015. "Effects of intake oxygen mole fraction on the near-stoichiometric combustion and emission characteristics of a CI (compression ignition) engine," Energy, Elsevier, vol. 80(C), pages 677-686.
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    Cited by:

    1. 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).
    2. Ye, Jiahao & Yang, Wenming & Peng, Qingguo & Liu, Haili, 2024. "Improvement and prediction of particles emission from diesel particulate filter based on an integrated artificial neural network," Energy, Elsevier, vol. 294(C).
    3. Liu, Wenlong & Gao, Ying & You, Yuelin & Jiang, Changwen & Hua, Taoyi & Xia, Bocong, 2024. "Nonlinear model predictive control(NMPC) of diesel oxidation catalyst (DOC) outlet temperature for active regeneration of diesel particulate filter (DPF) in diesel engine," Energy, Elsevier, vol. 293(C).

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