Prediction of Methane Adsorption Isotherm onto Activated Carbon by Using Neuro Fuzzy System
ANG (Adsorption Natural Gas) is a technology in which natural gas is adsorbed onto a porous adsorbent material such as activated carbon at relatively low pressure, 3.5 kPa. This paper highlights the modeling of the methane adsorption isotherm onto activated carbon using neuro fuzzy system. Prediction of adsorption isotherms at three different temperatures (273 K, 303 K and 323 K) was carried out. It was found out that isotherm predicted using neuro fuzzy shows similar trend with the experimental data. The average error difference between them is less than 3%. As the temperature decreases from 323 K to 273 K, the amount of methane adsorbed on the activated carbon was found to increase from 0.9 mol/kg to 2 mol/kg using neuro fuzzy system. As a conclusion, the developed model is applicable to predict the adsorption isotherms of methane at the specified temperature ranges of 273K to 323K and pressure ranges of 0.5 to 100 kPa.