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Numerical simulation of biomass gasification process and distribution mode in two-stage entrained flow gasifier

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  • Wang, Lijun
  • Du, Xiaocheng
  • Xu, Lingfeng
  • Sun, Jiajun

Abstract

A 3D computational hydrodynamics model (CFD) of a two-stage entrained-flow biomass gasifier is developed for further engineering application of the clean utilization of renewable energy. The biomass gasification procedure in the entrained-flow gasifier is simulated with the CFD software FLUENT®15.0. The Eulerian-Lagrangian method is applied to model the two-phase chemical reaction and heat transfer flow. Based on the multi-step chemical reaction dynamics, the homogeneous and heterogeneous biomass gasification reaction are described, respectively. The realizable k-ε model describes the turbulent flow of gas phase, and the motion of pulverized-biomass particles is tracked by the stochastic tracking method (STM). Using steam-air as gasification agent, different reaction mechanisms are simulated to compare with the verification value to find the optimal reaction mechanism. Then the quantitative influence of the main parameters of biomass gasification, namely, different equivalent ratios (ER), steam-to-biomass mass ratios (S/B), and the distribution ratios between the upper and lower stages (DR) are studied with the orthogonal analysis method. The results show that the proper values of ER, S/B and DR are helpful to improve gasification performances, such as maximum flame temperature, syngas compositions, active components, carbon conversion rates, etc. The optimum parameters for gasification condition are found as S/B = 0.1, ER = 0.16, DR = 30%/70%.

Suggested Citation

  • Wang, Lijun & Du, Xiaocheng & Xu, Lingfeng & Sun, Jiajun, 2020. "Numerical simulation of biomass gasification process and distribution mode in two-stage entrained flow gasifier," Renewable Energy, Elsevier, vol. 162(C), pages 1065-1075.
    • Handle: RePEc:eee:renene:v:162:y:2020:i:c:p:1065-1075
    DOI: 10.1016/j.renene.2020.08.093
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    2. Li, Jichao & Han, Wei & Li, Peijing & Ma, Wenjing & Xue, Xiaodong & Jin, Hongguang, 2023. "High-efficiency power generation system with CO2 capture based on cascading coal gasification employing chemical recuperation," Energy, Elsevier, vol. 283(C).
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    4. Douvartzides, Savvas & Charisiou, Nikolaos D. & Wang, Wen & Papadakis, Vagelis G. & Polychronopoulou, Kyriaki & Goula, Maria A., 2022. "Catalytic fast pyrolysis of agricultural residues and dedicated energy crops for the production of high energy density transportation biofuels. Part I: Chemical pathways and bio-oil upgrading," Renewable Energy, Elsevier, vol. 185(C), pages 483-505.

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