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Variation of Geldart classification in MFM simulation of biomass fast pyrolysis considering the decrease of particle density and diameter

Author

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  • Zhong, Hanbin
  • Xu, Fei
  • Zhang, Juntao
  • Zhu, Yuqin
  • Liang, Shengrong
  • Niu, Ben
  • Zhang, Xinyu

Abstract

The multi-fluid model (MFM) has been widely used in computational fluid dynamics (CFD) simulation of biomass fast pyrolysis in the fluidized bed. After considering the variation of particle density and diameter, the Geldart classification of the formed char particles may be different with that of the virgin biomass particles due to the decrease of particle density and diameter. Thus, two or more Geldart group particles may be found in one solid phase. Normally, different gas-solid models are recommended for different Geldart particles. Therefore, in order to account the gas-solid drag of a specified solid phase with various Geldart particles, the present work applied the classification method proposed by Grace to determine the real-time particle classification in each computational cell during MFM simulation. A monotonic function which can avoid the potential discontinuous behavior was developed to combine different drag models from the inspiration of Lu-Gidaspow model. Based on the combined gas-solid drag model, the application of different drag models to the different Geldart particles in one solid phase was realized in the MFM. This method provides an option to precisely describe the gas-solid drag of the gas-solid fluidized bed reactor with the variation of Geldart classification in a specified solid phase.

Suggested Citation

  • Zhong, Hanbin & Xu, Fei & Zhang, Juntao & Zhu, Yuqin & Liang, Shengrong & Niu, Ben & Zhang, Xinyu, 2019. "Variation of Geldart classification in MFM simulation of biomass fast pyrolysis considering the decrease of particle density and diameter," Renewable Energy, Elsevier, vol. 135(C), pages 208-217.
    • Handle: RePEc:eee:renene:v:135:y:2019:i:c:p:208-217
    DOI: 10.1016/j.renene.2018.11.097
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    References listed on IDEAS

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    1. Rezaei, Hamid & Sokhansanj, Shahab & Bi, Xiaotao & Lim, C. Jim & Lau, Anthony, 2017. "A numerical and experimental study on fast pyrolysis of single woody biomass particles," Applied Energy, Elsevier, vol. 198(C), pages 320-331.
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    Cited by:

    1. Yang, Shiliang & Fan, Feihu & Hu, Jianhang & Wang, Hua, 2020. "Particle-scale evaluation of the biomass steam-gasification process in a conical spouted bed gasifier," Renewable Energy, Elsevier, vol. 162(C), pages 844-860.
    2. Zhong, Hanbin & Xiong, Qingang & Yin, Lina & Zhang, Juntao & Zhu, Yuqin & Liang, Shengrong & Niu, Ben & Zhang, Xinyu, 2020. "CFD-based reduced-order modeling of fluidized-bed biomass fast pyrolysis using artificial neural network," Renewable Energy, Elsevier, vol. 152(C), pages 613-626.
    3. Du, Shaohua & Yuan, Shouzheng & Zhou, Qiang, 2021. "Numerical investigation of co-gasification of coal and PET in a fluidized bed reactor," Renewable Energy, Elsevier, vol. 172(C), pages 424-439.

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