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Hybrid Eulerian-Lagrangian simulation of gas-solid fluidized bed

机译:气固流化床混合欧拉-拉格朗日模拟

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The fluidized reactor is widely used in a number of chemical processes due to its high gas-particle contacting efficiency and excellent performance on solid mixing. An improved numerical framework based on MP-P1C (multi-phase-particle-in-cell) method has been developed to simulate the processes of gas-solid flow and chemical reactions in a fluidized bed. Experiments have been carried out on a 3MW circulating fluidized bed with the height of 24.5m and cross-section of 1m~2. Simulations and experiments were carried out under different operation conditions. Distributions of temperature, volume fraction, mean diameter, velocity and pressure were calculated.The results show that the distribution of gas-solid properties had better accuracy compared with the traditional Eulerian-Eulerian approach. The temperature of feed coal point is the highest because of fast pyrolytic reaction and volatile combustion, then the temperature decreases with the decrease of oxygen concentration.With the injection of fresh air at the secondary air inlets, the temperature increase to a new level. The distributions of temperature and gas concentration along the furnace have achieved a good accuracy compared with experimental data indicating that this numerical framework is suitable for solving complex gas-solid flow and reactions in fluidized bed reactors.
机译:流化反应器因其高的气-粒接触效率和出色的固相混合性能而被广泛用于许多化学过程中。已经开发了一种基于MP-P1C(单元中多相粒子)方法的改进数值框架,以模拟流化床中的气固流动和化学反应过程。在3MW的循环流化床上进行了实验,该流化床的高度为24.5m,横截面为1m〜2。在不同的操作条件下进行了仿真和实验。计算了温度,体积分数,平均直径,速度和压力的分布。结果表明,与传统的欧拉-欧拉方法相比,气固性质的分布具有更好的精度。由于快速的热解反应和易挥发的燃烧,进料煤的温度最高,然后温度随着氧气浓度的降低而降低。随着在二次进气口注入新鲜空气,温度上升到一个新的水平。与实验数据相比,沿炉子的温度和气体浓度分布已经达到了良好的精度,表明该数值框架适合解决流化床反应器中复杂的气固流和反应。

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