A New Simplified Local Density Model for Adsorption of Pure Gases and Binary Mixtures

Abstract

Adsorption modeling is an important tool for process simulation and design. Many theoretical models have been developed to describe adsorption data for pure and multicomponent gases. The simplified local density (SLD) approach is a thermodynamic model that can be used with any equation of state and offers some predictive capability with adjustable parameters for modeling of slit-shaped pores. In previous studies, the SLD model has been utilized with the Lennard-Jones potential function for modeling of fluid-solid interactions. In this article, we have focused on application of the Sutherland potential function in an SLD-Peng-Robinson model. The advantages and disadvantages of using the new potential function for adsorption of methane, ethane, carbon dioxide, nitrogen, and three binary mixtures on two types of activated carbon are illustrated. The results have been compared with previous models. It is shown that the new SLD model can correlate adsorption data for different pressures and temperatures with minimum error.

Modelling of Adsorption of Methane, Nitrogen, Carbon Dioxide, Their Binary Mixtures, and Their Ternary Mixture on Activated Carbons Using Artificial Neural Network

“…The collected data were imported from different works in the literature in order to study the adsorption phenomena of pure gases (CO 2 , CH 4 , and N 2 ), their binary mixtures, and their ternary mixtures on different activated carbons (Table 1). 2,9,33,[54][55][56][57][58][59][60][61][62][63] For each database (DB1, DB2, DB3, DB4, DB5, DB6, and DB7) (Table 2), a set of input variables were identified. For DB1, DB2, and DB3, the inputs were the characteristics of activated carbons (specific surface area and micropore volume), and the operating conditions (temperature and pressure).…”

“…2 To avoid these limitations, the application of assumption-free models is proposed. M. Hasanzadeh et al 33 propose a new simplified local density model for adsorption of pure gases and binary mixtures on activated carbon. It was shown that the new SLD model can correlate adsorption data for different pressures and temperatures with minimum error.…”

“…It was shown that the new SLD model can correlate adsorption data for different pressures and temperatures with minimum error. 33 Arpita Ghosh et al 34 propose the modelling of biosorption of Cu (II) by alkali-modified spent tea leaves using response surface methodology (RSM) and artificial neural network (ANN). 34 ANN is one of the data-based non-traditional tools for modelling the adsorption process.…”