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Air-fraction modeling for simultaneous Diesel engine NOx and PM emissions control during active DPF regenerations

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  • Chen, Pingen
  • Wang, Junmin

Abstract

This study develops a control-oriented air-fraction model which can accurately predict the air-fraction dynamics for a Diesel engine and the coupled aftertreatment system (mainly Diesel oxidation catalyst (DOC)) during active DPF regenerations. NOx and particulate matter (PM) emissions are the two main concerns for modern Diesel engine development. Diesel particulate filters (DPFs) have become a standard device for reducing the PM emissions from Diesel engine powertrains. To maintain high filtration efficiencies and avoid high back pressures, active DPF regenerations have to be implemented periodically by significantly elevating the exhaust gas temperatures. However, during active DPF regenerations, the selective catalytic reduction (SCR) deNOx performance may be significantly decreased, while the high temperature durability and total hydrocarbon (THC) poisoning of SCRs may be potential issues. To simultaneously meet the NOx emission standard, high-pressure loop EGR needs to be applied. Since in-cylinder NOx reduction relies heavily on the in-cylinder oxygen content, an accurate air-fraction model is necessary, and the effects of recycled THC and CO emissions should be considered. The developed air-fraction model has been experimentally validated to show its capability of capturing the actual air fraction dynamics accurately. Such a model can be instrumental in simultaneous NOx and PM emission control during active DPF regenerations and in advanced combustion mode control.

Suggested Citation

  • Chen, Pingen & Wang, Junmin, 2014. "Air-fraction modeling for simultaneous Diesel engine NOx and PM emissions control during active DPF regenerations," Applied Energy, Elsevier, vol. 122(C), pages 310-320.
    • Handle: RePEc:eee:appene:v:122:y:2014:i:c:p:310-320
    DOI: 10.1016/j.apenergy.2014.02.031
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    Citations

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    Cited by:

    1. Jiang, Jibing & Li, Dinggen, 2016. "Theoretical analysis and experimental confirmation of exhaust temperature control for diesel vehicle NOx emissions reduction," Applied Energy, Elsevier, vol. 174(C), pages 232-244.
    2. 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).
    3. 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).
    4. Chen, Chia-Yang & Lee, Wen-Jhy & Wang, Lin-Chi & Chang, Yu-Cheng & Yang, Hsi-Hsien & Young, Li-Hao & Lu, Jau-Huai & Tsai, Ying I. & Cheng, Man-Ting & Mwangi, John Kennedy, 2017. "Impact of high soot-loaded and regenerated diesel particulate filters on the emissions of persistent organic pollutants from a diesel engine fueled with waste cooking oil-based biodiesel," Applied Energy, Elsevier, vol. 191(C), pages 35-43.
    5. 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.
    6. 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).
    7. 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).
    8. Zhang, Jun & Wong, Victor W. & Shuai, Shijin & Chen, Yu & Sappok, Alexander, 2018. "Quantitative estimation of the impact of ash accumulation on diesel particulate filter related fuel penalty for a typical modern on-road heavy-duty diesel engine," Applied Energy, Elsevier, vol. 229(C), pages 1010-1023.

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