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An improved linear formula for cyclic adsorption, diffusion and reaction in a catalyst

机译:催化剂中循环吸附,扩散和反应的改进线性公式

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摘要

Simple linear models including the linear driving force (LDF) model for approximating unsteady-state diffusion, adsorption in an adsorbent under cyclic operating environments have been proposed to reduce the computational load of the exact partial differential equations. The models are in the form of a first-order ordinary differential equation and consist of a term with the external concentration surrounding the adsorbent particle and another term with the average adsorbate concentration in the adsorbent. Although very simple to use, the approximation models are first-order approximations of the pore diffusion model, and hence their accuracy is not high enough to compute fine details of fast responses. By incorporating the time derivative of the external concentration into the approximation, an improved linear formula for cyclic adsorption is developed in this study. As the time derivative is usually computed simultaneously with the external concentration, the improved formula has little additional complexity over the previous approximations in its applications, and yet it is considerably more accurate than the previous first-order approximations for cyclic adsorption.
机译:为了减少精确的偏微分方程的计算量,已经提出了简单的线性模型,包括用于近似非稳态扩散的线性驱动力(LDF)模型,在循环操作环境下吸附剂中的吸附。这些模型采用一阶常微分方程的形式,由外部浓度围绕吸附剂颗粒的项和另一项具有吸附剂中平均吸附物浓度的项组成。尽管使用起来非常简单,但是近似模型是孔隙扩散模型的一阶近似,因此其准确性不足以计算出快速响应的精细细节。通过将外部浓度的时间导数纳入近似值,本研究开发了一种改进的循环吸附线性公式。由于时间导数通常是与外部浓度同时计算的,因此改进的公式在应用中比以前的近似值几乎没有额外的复杂性,但是它比以前的循环吸附一阶近似值精确得多。

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