Abstract
A dynamic adsorption model was proposed using the lumping process for an adsorption system. This novel approach uses a four-component structure model: gas phase, enclosed aqueous phase, sorption volume and porous media surface adsorption. A clouding effect represented by ka (dynamic adsorption constant) was adopted to explain the adsorption process. The clouding effect assumes that the adsorption rate is decreased as the adsorption sites on the media surface are occupied. In the equilibrium stage the Freundlich adsorption isotherm was adopted. The proposed dynamic adsorption model was then predicted in comparison with the experimental data of an adsorption-column to estimate adsorption model parameter values in a biofilter fed with ethanol at 4,100 mg ethanol/m3 (or 2,000 ppmv). Model validation was performed for the adsorption column fed with ethanol at 2,050 mg ethanol/m3 (or 1,000 ppmv). Results showed that the mechanistic model was able to simulate the dynamic behavior of an adsorption process successfully according to the corresponding adsorption experimental data.
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