Amorphous carbon materials play a vital role in adsorbed natural gas (ANG) storage. One of the key issues in the more prevalent use of ANG is the limited adsorption capacity

which is primarily determined by the porosity and surface characteristics of porous materials. To identify suitable adsorbents

we need a reliable computational tool for pore characterization and

subsequently

quantitative prediction of the adsorption behavior. Within the framework of adsorption integral equation (AIE)

the pore-size distribution (PSD) is sensitive to the adopted theoretical models and numerical algorithms through isotherm fitting. In recent years

the classical density functional theory (DFT) has emerged as a common choice to describe adsorption isotherms for AIE kernel construction. However

rarely considered is the accuracy of the mean-field approximation (MFA) commonly used in commercial software. In this work

we calibrate four versions of DFT methods with grand canonical Monte Carlo (GCMC) molecular simulation for the adsorption of CH

4

and CO

2

gas in slit pores at 298 K with the pore width varying from 0.65 to 5.00 nm and pressure from 0.2 to 2.0 MPa. It is found that a w

eighted-density approximation proposed by Yu (WDA-Yu) is more accurate than MFA and other non-local DFT methods. In combination with the trapezoid discretization of AIE

the WDA-Yu method provides a faithful representation of experimental data

with the accuracy and stability improved by 90.0% and 91.2%

respectively

in comparison with the corresponding results from MFA for fitting CO

2

isotherms. In particular

those distributions in the feature pore width range (FPWR) are proved more representative for the pore-size analysis. The new theoretical procedure for pore characterization has also been tested with the methane adsorption capacity in seven activated carbon samples.