CO在铂上氧化的详细建模:蒙特卡罗模型

R. Kissel-Osterrieder, F. Behrendt, J. Warnatz
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引用次数: 12

摘要

提出了一种模拟表面与反应气相耦合的化学反应的蒙特卡罗模型,该模型具有正确的实时依赖性。为了避免平均场近似法的缺点,采用栅格-气体模型来描述反应表面的动力学。明确地包括了吸附分子的局部环境。用蒙特卡罗方法模拟随机过程求解相应的主方程。该模型描述了CO和分子氧在铂上的吸附和解吸平衡以及CO与O原子的表面反应。重点是吸附物-吸附物相互作用的影响,这在平均场模型中不能正确地解释。气相的输运过程用分子多组分输运模型来描述。根据在催化活性板上的滞点流动的几何形状,建立了控制方程。气相和反应表面分别处理。通过选择足够小的时间步长,将非均质边界处质量分数的变化限制在一定范围内,实现了系统两部分之间的耦合。在此假设下,在蒙托卡罗模拟中,表面上方第一个网格点的气相质量分数可视为常数。在每个时间步骤之后,边界处的质量分数根据蒙特卡罗步骤期间事件产生的通量进行更新。接下来是气相的时间步骤,为随后的蒙特卡罗步骤生成新的初始值。在每个蒙特卡罗步骤之间,吸附物质的空间分布被保留下来。
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Detailed modeling of the oxidation of CO on platinum: A Monte-Carlo model

A Monte Carlo (MC) model for the simulation of chemical reactions of a surface coupled to a reactive gas phase with correct real-time dependence is presented. To avoid the shortcomings of the mean-field (MF) approximation, a lattice-gas model is used to describe the kinetics on the reactive surface. The local environment of an adsorbate molecule is included explicitly. The corresponding master equation is solved by simulation of stochastic processes with a Monte Carlo method. The model includes a description for the adsorption and desorption equilibria of CO and molecular oxygen on platinum as well as the surface reaction of CO with O atoms. The focus is on the influence of adsorbate-adsorbate interactions, which cannot be accounted for correctly in the mean-field model. The transport processes in the gas phase are described by a molecular multicomponent transport model. The governing equations are formulated for the geometry of a stagnation-point flow onto the catalytically active plate. Gas phase and reactive surface are treated separately. The coupling between both parts of the system is realized by choosing time steps small enough to limit the change of the mass fractions at the heterogeneous boundary within a defined range. Under this assumption, the mass fraction in the gas phase at the first grid point above the surface can be regarded as constant for the Monto Carlo simulation. After each time step, the mass fractions at the boundary are updated according to the fluxes resulting from the events during the Monte Carlo step. This is followed by a time step for the gas phase generating new initial values for the subsequent Monte Carlo step. Between each Monte Carlo step, the spatial distribution of the adsorbed species is preserved.

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