The present work was carried out to simulate a cold flow model of a biomass gasification plant. For the simulation, a Eulerian-Lagrangian approach, more specifically the multi-phase particle in cell (MP-PIC) method, was used to simulate particles with a defined particle size distribution. Therefore, Barracuda VR, a software tool with an implemented MP-PIC method specifically designed for computational particle fluid dynamics simulations, was the software of choice. The simulation results were verified with data from previous experiments conducted on a physical cold flow model. The cold flow model was operated with air and bronze particles. The simulations were conducted with different drag laws: an energy-minimization multi-scale (EMMS) approach, a blended Wen-Yu and Ergun drag law, and a drag law of Ganser. The fluid dynamic behavior depends heavily on the particles’ properties like the particle size distribution. Furthermore, a focus was placed on the normal particle stress (P_S value variation), which is significant in close-packed regions, and the loop seals’ fluidization rate was varied to influence the particle circulation rate. The settings of the simulation were optimized, flooding behavior did not occur in advanced simulations, and the simulations reached a stable steady state behavior. The Ganser drag law combined with an adjusted P_S value with (P_S = 30 Pa) or without (P_S = 50 Pa) increased loop seal fluidization rates provided the best simulation results.

进行当前工作以模拟生物质气化装置的冷流模型。为了进行模拟，使用了欧拉-拉格朗日方法，更具体地讲，使用了单元内多相粒子（MP-PIC）方法来模拟具有定义的粒度分布的粒子。因此，Barracuda VR是一种选择的软件，该软件具有专门为计算粒子流体动力学模拟而设计的已实施MP-PIC方法的软件工具。仿真结果已使用先前在物理冷流模型上进行的实验数据进行了验证。冷流模型是在空气和青铜颗粒下运行的。使用不同的阻力定律进行了仿真：能量最小化多尺度（EMMS）方法，Wen-Yu和Ergun的混合阻力定律以及Ganser的阻力定律。流体动力学行为在很大程度上取决于颗粒的性质，例如粒度分布。此外，重点放在正常粒子应力（P _S值变化），这在密堆积区域很明显，并且环路密封件的流化速率发生变化，从而影响颗粒的循环速率。优化了模拟的设置，高级模拟中没有发生泛洪行为，并且模拟达到了稳定的稳态行为。所述Ganser拖动法用调整组合P_小号带（值P_小号 = 30帕）或无（P_小号 = 50帕）增加环密封流化速率提供了最好的模拟结果。