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Numerical study on characteristics of biomass oxygen enriched gasification in the new gasifier on an experimental basis

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  • Wang, Lijun
  • Du, Xiaocheng
  • Chen, Junqi
  • Wu, Zhonggang

Abstract

In this paper, the integrated characteristics of a fluidized bed combining a distributed entrained flow bed in a new reactor, and the oxygen enriched gasification performance of biomass in the integrated reactor were studied numerically on the basis of experiments. A 3D numerical model was established by FLUENT and Eulerian-Lagrangian method was selected to solve the model. Simulation results show the integrated characteristics, where the lower-stage of the reactor performs the characteristics of distributed entrained flow, and the upper-stage shows fluidized bed characteristics by fluid upward returning. In addition, the influencing factors of oxygen-carbon mass ratio (O/C) and oxygen concentration of gasification agent, were studied based on experiment. The results show that as the O/C increases, the concentrations of H2 and CO2 in the syngas gradually decreases but the CO concentration remains stable. The effect of O2 concentration on syngas composition is related to its O/C. The concentrations of CO and CO2 rise as the O2 concentration increases. However, when the O/C is between 0.35 and 0.55, as the oxygen concentration increases, the H2 concentration shows a trend of firstly increase and then decrease. All the numerical and experimental results are in good agreement.

Suggested Citation

  • Wang, Lijun & Du, Xiaocheng & Chen, Junqi & Wu, Zhonggang, 2021. "Numerical study on characteristics of biomass oxygen enriched gasification in the new gasifier on an experimental basis," Renewable Energy, Elsevier, vol. 179(C), pages 815-827.
    • Handle: RePEc:eee:renene:v:179:y:2021:i:c:p:815-827
    DOI: 10.1016/j.renene.2021.07.098
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    References listed on IDEAS

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    1. Hu, Yuyang & Yuan, Fuchun & Yin, Zhiqiang & Tian, Yuyang & Wang, Jiangjiang, 2026. "Structure optimization and parameter identification of a downdraft biomass gasifier using combined method of numerical simulation and machine learning," Renewable Energy, Elsevier, vol. 256(PA).

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