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Prediction of The Equilibrium Constant of An Adsorption Model by VOC Adsorption on Microporous Adsorbents

机译:微孔吸附剂VOC吸附的吸附模型平衡常数预测

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Activated carbon adsorption has widely been accepted as a promising technique to control volatile organic compounds (VOCs) pollution. However, the evaluation of adsorption capacity of activated carbon usually relies on the empirical or semi-empirical adsorption isotherms, which are seldom taken into account of the effects of physicochemical properties of the activated carbon and the adsorbate. Therefore, the objective of this study is to study the primary physicochemical properties in VOC adsorption processes, and to suggest a characteristic equation for predicting the adsorption equilibrium constant by statistical analyses. Eight types of activated carbons and ten VOCs are used in this study. The physicochemical properties of activated carbon are determined by proposed methods and the properties of VOC species are referred to the literature or estimated theoretically. In addition, the factor analysis and correspondence analysis are utilized to extract the major physicochemical properties in adsorption processes and the regression procedure is used to obtain the characteristic equation. The results show that the combination of factor analysis and correspondence analysis is a good way to characterize the VOC adsorption on activated carbon. The effect of surface physicochemical properties of the activated carbon is more important than that of its raw material. Specific surface area and pore volume of the activated carbon, and boiling point, dipole moment, solubility, critical parameters, vapor pressure, and heat of vaporization of VOC are found to be the most important properties on adsorption process. According to the adsorption capacities and the primary properties, a characteristic equation for predicting the adsorption equilibrium constant is suggested to impart the adsorption model more substantially.
机译:活性炭吸附已广泛被接受为有前途的技术,以控制挥发性有机化合物(VOC)的污染。然而,活性炭的吸附能力评价通常依赖于经验或半经验的吸附等温线,其中很少考虑的活性炭和吸附物的物理化学性质的影响。因此,本研究的目的是研究在VOC吸附过程的主要物理化学性质,并提供一个特征方程用于通过统计分析预测吸附平衡常数。八种类型的活性炭和十个挥发性有机化合物在本研究中使用。活性炭的物理化学性质是由提出的方法确定,并且VOC物种的特性被称为文献或理论估计。此外,因子分析和对应分析被用于吸附过程,以提取主要的物理化学性质和回归过程用于获得特征方程。结果表明,因子分析和对应分析的组合来表征在活性炭上的吸附VOC的好方法。活性炭的表面的物理化学性质的效果比它的原料的更重要。比表面积和活性炭的孔体积,和沸点,偶极矩,溶解度,关键参数,蒸气压,并且VOC的气化热被发现是在吸附过程中最重要的属性。根据吸附能力和主要特性,用于预测吸附平衡常数的特性方程式建议多种基本上赋予吸附模型。

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