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Numerical simulations of fluidized bed fast pyrolysis of biomass through computational fluid dynamics

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  • Sia, Sheng Qiang
  • Wang, Wei-Cheng

Abstract

In this study, computational fluid dynamics (CFD) was applied for simulating the hydrodynamics and chemical kinetics for the fluidized bed biomass fast pyrolysis. Based on the Euler-Euler multiphase framework, standard K-ε model and Finite-Rate/Eddy-Dissipation model were selected for the viscous and the species transport model, respectively. Syamlal O’brien model and Arrhenius kinetic model were chosen as the drag and reaction kinetics model, respectively. The volume fractions as well as the temperature distributions of the fluidizing gas, biomass and fluidizing sand at the fluidization velocity of 0.6 m/s were numerically observed. The simulation of the reaction temperature influence on product yield agreed well with the lab-scale experimental results. The distributions of the gas products show that CO and H2 are mostly at the lower part of the reactor, CH4 is in the freeboard region and CO2 is at both the reaction and freeboard zone. The proposed CFD model was expected to make contributions for improving the internal process and reactor optimization for biomass fluidized bed fast pyrolysis.

Suggested Citation

  • Sia, Sheng Qiang & Wang, Wei-Cheng, 2020. "Numerical simulations of fluidized bed fast pyrolysis of biomass through computational fluid dynamics," Renewable Energy, Elsevier, vol. 155(C), pages 248-256.
  • Handle: RePEc:eee:renene:v:155:y:2020:i:c:p:248-256
    DOI: 10.1016/j.renene.2020.03.134
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    References listed on IDEAS

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    1. Sang Kyu Choi & Yeon Seok Choi & Yeon Woo Jeong & So Young Han & Quynh Van Nguyen, 2020. "Simulation of the Fast Pyrolysis of Coffee Ground in a Tilted-Slide Reactor," Energies, MDPI, vol. 13(24), pages 1-19, December.
    2. Thoharudin, & Hsiau, Shu-San & Chen, Yi-Shun & Yang, Shouyin, 2022. "Numerical modeling of biomass fast pyrolysis by using an improved comprehensive reaction scheme for energy analysis," Renewable Energy, Elsevier, vol. 181(C), pages 355-364.

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