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Detailed physical properties prediction of pure methyl esters for biodiesel combustion modeling

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  • An, H.
  • Yang, W.M.
  • Maghbouli, A.
  • Chou, S.K.
  • Chua, K.J.

Abstract

In order to accurately simulate the fuel spray, atomization, combustion and emission formation processes of a diesel engine fueled with biodiesel, adequate knowledge of biodiesel’s physical properties is desired. The objective of this work is to do a detailed physical properties prediction for the five major methyl esters of biodiesel for combustion modeling. The physical properties considered in this study are: normal boiling point, critical properties, vapor pressure, and latent heat of vaporization, liquid density, liquid viscosity, liquid thermal conductivity, gas diffusion coefficients and surface tension. For each physical property, the best prediction model has been identified, and very good agreements have been obtained between the predicted results and the published data where available. The calculated results can be used as key references for biodiesel combustion modeling.

Suggested Citation

  • An, H. & Yang, W.M. & Maghbouli, A. & Chou, S.K. & Chua, K.J., 2013. "Detailed physical properties prediction of pure methyl esters for biodiesel combustion modeling," Applied Energy, Elsevier, vol. 102(C), pages 647-656.
    • Handle: RePEc:eee:appene:v:102:y:2013:i:c:p:647-656
    DOI: 10.1016/j.apenergy.2012.08.009
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    References listed on IDEAS

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    2. Liu, Teng & E., Jiaqiang & Yang, Wenming & Hui, An & Cai, Hao, 2016. "Development of a skeletal mechanism for biodiesel blend surrogates with varying fatty acid methyl esters proportion," Applied Energy, Elsevier, vol. 162(C), pages 278-288.
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    5. 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.
    6. Tan, Dongli & Wu, Yao & Lv, Junshuai & Li, Jian & Ou, Xiaoyu & Meng, Yujun & Lan, Guanglin & Chen, Yanhui & Zhang, Zhiqing, 2023. "Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology," Energy, Elsevier, vol. 263(PC).
    7. Maghbouli, Amin & Yang, Wenming & An, Hui & Li, Jing & Shafee, Sina, 2015. "Effects of injection strategies and fuel injector configuration on combustion and emission characteristics of a D.I. diesel engine fueled by bio-diesel," Renewable Energy, Elsevier, vol. 76(C), pages 687-698.
    8. E, Jiaqiang & Liu, Teng & Yang, Wenming & Deng, Yuanwang & Gong, Jinke, 2016. "A skeletal mechanism modeling on soot emission characteristics for biodiesel surrogates with varying fatty acid methyl esters proportion," Applied Energy, Elsevier, vol. 181(C), pages 322-331.
    9. Bai, Yuanqi & Wang, Ying & Wang, Xiaochen, 2021. "Development of a skeletal mechanism for four-component biodiesel surrogate fuel with PAH," Renewable Energy, Elsevier, vol. 171(C), pages 266-274.
    10. Mohan, Balaji & Yang, Wenming & Yu, Wenbin & Tay, Kun Lin & Chou, Siaw Kiang, 2015. "Numerical investigation on the effects of injection rate shaping on combustion and emission characteristics of biodiesel fueled CI engine," Applied Energy, Elsevier, vol. 160(C), pages 737-745.
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