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Numerical study of soot particles from low temperature combustion of engine fueled with diesel fuel and unsaturation biodiesel fuels

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  • Zhao, Feiyang
  • Yang, Wenming
  • Yu, Wenbin
  • Li, Han
  • Sim, Yu Yun
  • Liu, Teng
  • Tay, Kun Lin

Abstract

In this study, numerical analysis of fuel structures on engine soot particles’ mass and size were done by CFD combustion modelling using diesel and different levels of unsaturated biodiesel fuels through the KIVA4-CHEMKIN platform. The proposed numerical approach, with a quad-component skeletal mechanism of biodiesel blend surrogates along with a multi-step phenomenological soot particle model, could capture the soot particle characteristics of test fuels with acceptable accuracy under engine combustion conditions. The reduction of exhaust soot from biodiesel combustion, compared to diesel fuel, was attributed to the suppressed soot precursors formation and lower number of particles in total. However, it was concluded that the biodiesel fuel with a higher fraction of unsaturated FAMEs (more double carbon bonds CC) contributed more to the formation of soot precursors, thus producing a higher amount of soot particles in mass and numbers as a consequence of accelerated soot particle nucleation and soot surface growth.

Suggested Citation

  • Zhao, Feiyang & Yang, Wenming & Yu, Wenbin & Li, Han & Sim, Yu Yun & Liu, Teng & Tay, Kun Lin, 2018. "Numerical study of soot particles from low temperature combustion of engine fueled with diesel fuel and unsaturation biodiesel fuels," Applied Energy, Elsevier, vol. 211(C), pages 187-193.
  • Handle: RePEc:eee:appene:v:211:y:2018:i:c:p:187-193
    DOI: 10.1016/j.apenergy.2017.11.056
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    5. Soloiu, Valentin & Gaubert, Remi & Moncada, Jose & Wiley, Justin & Williams, Johnnie & Harp, Spencer & Ilie, Marcel & Molina, Gustavo & Mothershed, David, 2019. "Reactivity controlled compression ignition and low temperature combustion of Fischer-Tropsch Fuel Blended with n-butanol," Renewable Energy, Elsevier, vol. 134(C), pages 1173-1189.
    6. Chen, Hao & Su, Xin & Li, Junhui & Zhong, Xianglin, 2019. "Effects of gasoline and polyoxymethylene dimethyl ethers blending in diesel on the combustion and emission of a common rail diesel engine," Energy, Elsevier, vol. 171(C), pages 981-999.
    7. Ma, Yinjie & Huang, Ronghua & Fu, Jianqin & Huang, Sheng & Liu, Jingping, 2018. "Development of a diesel/biodiesel/alcohol (up to n-pentanol) combined mechanism based on reaction pathways analysis methodology," Applied Energy, Elsevier, vol. 225(C), pages 835-847.
    8. Wu, Shaohua & Yang, Wenming & Xu, Hongpeng & Jiang, Yu, 2019. "Investigation of soot aggregate formation and oxidation in compression ignition engines with a pseudo bi-variate soot model," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    9. Wu, Shaohua & Zhou, Dezhi & Yang, Wenming, 2019. "Implementation of an efficient method of moments for treatment of soot formation and oxidation processes in three-dimensional engine simulations," Applied Energy, Elsevier, vol. 254(C).
    10. Hongling Ju & Fanquan Bian & Mingrui Wei & Yi Zhang, 2023. "Effect of Temperature on Morphologies and Microstructures of Soot Particles in the Diesel Exhaust Pipe," Energies, MDPI, vol. 16(14), pages 1-14, July.
    11. Chen, Hao & Su, Xin & He, Jingjing & Xie, Bin, 2019. "Investigation on combustion and emission characteristics of a common rail diesel engine fueled with diesel/n-pentanol/methanol blends," Energy, Elsevier, vol. 167(C), pages 297-311.
    12. Fan, Qinhao & Liu, Shang & Qi, Yunliang & Cai, Kaiyuan & Wang, Zhi, 2021. "Investigation into ethanol effects on combustion and particle number emissions in a spark-ignition to compression-ignition (SICI) engine," Energy, Elsevier, vol. 233(C).
    13. Huang, Haozhong & Zhu, Zhaojun & Zhu, Jizhen & Lv, Delin & Pan, Yuping & Wei, Hongling & Teng, Wenwen, 2019. "Experimental and numerical study of pre-injection effects on diesel-n-butanol blends combustion," Applied Energy, Elsevier, vol. 249(C), pages 377-391.

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