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    循环流化床富氧燃烧数值模拟研究进展

    Research Progress on Numerical Simulation of Oxy-fuel Combustion in Circulating Fluidized Bed

    • 摘要: 循环流化床富氧燃烧技术具有燃料适应性广、污染物控制能力强及碳捕集成本低的优势。首先,梳理了气固两相流、辐射传热、燃烧反应及污染物转化等关键子模型的发展与应用情况。然后,综述了从实验室规模到工业全尺度循环流化床富氧燃烧锅炉的模拟研究进展。结果表明:欧拉-拉格朗日计算框架已成为主要模拟手段,相关“颗粒团”模型可以低计算成本精准刻画炉内颗粒运动特性;富氧工况下高浓度CO2与H2O改变了烟气热物性及辐射特性,需采用改进型辐射模型;焦炭燃烧须充分考虑CO2气化反应;污染物模拟普遍采用总包反应机理。大容量机组实测与模拟证实了其综合性能更佳。当前仍存在专用子模型适配不足,工业尺度模拟难度大等问题,未来应研发适配富氧工况的专用子模型,结合工程应用深化全流程仿真。

       

      Abstract: Oxy-fuel combustion technology in circulating fluidized beds (CFB) offers advantages such as broad fuel adaptability, strong pollutant control capability, and low carbon capture cost. First, the development and application of key sub-models, including gas-solid two-phase flow, radiative heat transfer, combustion reaction, and pollutant conversion are reviewed. Then, the progress of numerical simulations is summarized, covering studies from laboratory-scale to industrial full-scale CFB oxy-fuel combustion boilers. The results indicate that the Euler-Lagrange computational framework has become the primary simulation approach, and relevant particle-cluster models can accurately characterize particle motion characteristics in the furnace at low computational cost. Under oxy-fuel conditions, the high concentrations of CO2 and H2O alter the flue gas thermophysical properties and radiative characteristics, necessitating the use of modified radiation models. The simulation of char combustion must fully account for the CO2 gasification reaction. Pollutant simulations commonly adopt global reaction mechanisms. Measurements and simulations of large-capacity units have confirmed their superior overall performance. However, current research still faces challenges such as insufficient adaptation of dedicated sub-models and difficulties in industrial-scale simulations. Future efforts should focus on developing dedicated sub-models tailored to oxy-fuel conditions and deepening full-process simulations in conjunction with engineering applications.

       

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