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首页> 外文期刊>Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems >Investigation of CO2 capture using solid sorbents in a fluidized bed reactor: Cold flow hydrodynamics
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Investigation of CO2 capture using solid sorbents in a fluidized bed reactor: Cold flow hydrodynamics

机译:在流化床反应器中使用固体吸附剂捕集CO2的研究:冷流流体动力学

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Both experimental tests and numerical simulations were conducted to investigate the fluidization behavior of a solid CO2 sorbent with a mean diameter of 100 pm and density of about 480 kg/m [3], which belongs to Geldart's Group A powder. A carefully designed fluidized bed facility was used to perform a series of experimental tests to study the flow hydrodynamics. Numerical simulations using the two-fluid model indicated that the grid resolution has a significant impact on the bed expansion and bubbling flow behavior. Due to the limited computational resource, no good grid independent results were achieved using the standard models as far as the bed expansion is concerned. In addition, all simulations tended to under-predict the bubble size substantially. Effects of various model settings including both numerical and physical parameters have been investigated with no significant improvement observed. The latest filtered sub-grid drag model was then tested in the numerical simulations. Compared to the standard drag model, the filtered drag Model with two markers not only predicted reasonable bed expansion but also yielded realistic bubbling behavior. A grid sensitivity study was conducted for the filtered subgrid model and its applicability and limitation were discussed. (C) 2016 Elsevier B.V. All rights reserved.
机译:进行了实验测试和数值模拟,以研究平均直径为100 pm,密度约为480 kg / m的固体CO2吸附剂的流化行为[3],属于Geldart的A组粉末。精心设计的流化床设备用于执行一系列实验测试,以研究流动流体动力学。使用双流体模型的数值模拟表明,网格分辨率对床层膨胀和鼓泡流动行为具有重大影响。由于计算资源有限,就床扩展而言,使用标准模型无法获得良好的网格无关结果。另外,所有模拟趋向于充分地低估气泡尺寸。已经研究了包括数字参数和物理参数在内的各种模型设置的影响,但未观察到明显的改善。然后在数值模拟中测试了最新的滤波后的子网格阻力模型。与标准阻力模型相比,具有两个标记的过滤阻力模型不仅可以预测合理的床膨胀,而且还可以产生逼真的起泡行为。对滤波后的子网格模型进行了网格敏感性研究,并讨论了其适用性和局限性。 (C)2016 Elsevier B.V.保留所有权利。

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