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Three-component competitive adsorption model for fixed-bed and moving-bed granular activated carbon adsorbers. Part I. Model development

机译:固定床和移动床颗粒活性炭吸附剂的三组分竞争吸附模型。第一部分模型开发

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摘要

Heterogeneous natural organic matter (NOM) present in all natural waters impedes trace organic contaminant adsorption, and predictive modeling of granular activated carbon (GAC) adsorber performance is often compromised by inadequate accounting for these competitive effects. Thus, a 3-component adsorption model, COMPSORB-GAC, is developed that separately tracks NOM adsorption and its competitive effects as a function of NOM surface loading. In this model, NOM is simplified into two fictive fractions with distinct competitive effects on trace compound adsorption: a smaller, strongly competing fraction that reduces equilibrium capacity and a larger pore-blocking fraction that reduces adsorption kinetics (both external film mass transfer and surface diffusion). COMPSORB-GAC tracks these two NOM fractions, along with the trace compound, and changes adsorption parameters according to the local surface loading of the two NOM fractions. Model parameters are allowed to vary both temporally and spatially to reflect differences in the NOM preloading conditions that occur in GAC columns. This dual-resistance model is based on homogeneous surface diffusion with external film mass-transfer limitations. The governing equations are expressed in a moving-grid finite-difference formulation to accommodate the modeling of spatially varying parameters and moving-bed reactors with counter-current adsorbent flow. A series of short-term adsorption tests with fresh and preloaded GAC is proposed to determine the necessary model input parameters. The accompanying manuscript demonstrates the parameterization procedure and verifies the model with experimental data.
机译:所有天然水中存在的非均质天然有机物(NOM)阻碍了痕量有机污染物的吸附,而颗粒活性炭(GAC)吸附器性能的预测模型通常由于对这些竞争效应的解释不充分而受到损害。因此,开发了一种三组分吸附模型COMPSORB-GAC,该模型分别跟踪NOM吸附及其作为NOM表面负荷的函数的竞争效果。在该模型中,将NOM简化为两个假想级分,对痕量化合物的吸附具有明显的竞争效果:较小的,强烈竞争的级分会降低平衡容量,而较大的孔阻塞级分会降低吸附动力学(外部膜传质和表面扩散) )。 COMPSORB-GAC随痕量化合物一起跟踪这两个NOM馏分,并根据两个NOM馏分的局部表面负荷改变吸附参数。允许模型参数随时间和空间变化,以反映GAC色谱柱中NOM预加载条件的差异。该双重电阻模型基于具有外部薄膜传质限制的均匀表面扩散。控制方程以动网格有限差分公式表示,以适应空间变化参数的建模以及带有逆流吸附剂流的移动床反应器。建议使用新鲜和预装的GAC进行一系列短期吸附测试,以确定必要的模型输入参数。随附的手稿演示了参数化过程,并通过实验数据验证了模型。

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