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OFF-GAS ADSORPTION MODEL AND SIMULATION - OSPREY

机译:废气吸附模型和仿真 - 鱼鹰

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The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes is expected to provide substantial cost savings and many technical benefits. To support this capability, a modeling effort focused on the off-gas treatment system of a used nuclear fuel recycling facility is in progress. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of off-gas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas composition, sorbent and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data can be obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. In addition to concentration data, the model predicts temperature along the column length as a function of time and pressure drop along the column length. A description of the OSPREY model, results from krypton adsorption modeling and plans for modeling the behavior of iodine, xenon, and tritium will be discussed.
机译:在美国没有工业规模核燃料的情况下,我们的再加工是在许多其他国家/地区现在普遍存在的先进模拟能力的必要驾驶员。因此,对于模拟复杂系列的单元操作至关重要,以模拟,理解和预测固有的瞬态行为。预计准确模拟高级燃料循环分离过程的动态行为的能力将提供大量成本节约和许多技术效益。为支持这种能力,正在进行专注于使用核燃料回收设施的废气处理系统的建模努力。废气分离包括一系列洗涤器和吸附床,以捕获感兴趣的成分。正在开发动态模型以模拟所涉及的每个单元操作,因此每个单元操作都可以用作独立模型和与多个其他单元的串联。目前,在爱达荷国家实验室(INL)开发的多物理面向对象模拟环境(驼鹿)中开发了一种吸附模型。废气分离和恢复(Osprey)模拟在非等温和非异叶条件下填充床中的分散塞流动的废气成分的吸附。模型的输入包括气体成分,吸附剂和柱性质,平衡和动力学数据和入口条件。模拟输出沿列长度的分量浓度作为可以获得突破性数据的时间的函数。突破性数据可用于确定床容量,从而可以用于尺寸列。除浓度数据外,模型还将沿列长度的温度预测为沿列长度的时间和压降的函数。讨论了krypton吸附建模和碘,氙气和氚行为的计划的描述,将讨论对krypton吸附建模和模拟行为的计划。

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