Prediction of Adsorption Isotherm of Methane Gas onto Activated Coconut Shell Charcoal by Neuro-Fuzzy Logic Model

• Main Author: Ya'acob @ Ali, Nur Amalina
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi Petronas 2005
• Subjects: TP Chemical technology
• Online Access: http://utpedia.utp.edu.my/8171/1/2005%20Bachelor%20-%20Prediction%20Of%20Absorption%20Isotherm%20Of%20Methane%20Gas%20Onto%20Activated%20Coconut%20Shell%20Cha.pdf; http://utpedia.utp.edu.my/8171/

ANG (Adsorption Natural Gas) is a technology in which natural gas is adsorbed bya porous adsorbent material (i.e. activated carbon) at relatively low pressure (3.5 MPa up to 5.0 Mpa) that is applied onANG vehicle. This technology, which the storage vessel is filled with a suitable adsorbent material, will have greater energy density compared to the same storage vessel without the adsorbent when filled to the same pressure. Besides that, natural gas is found as a potentially attractive fuel for vehicle use. It is because it is normally cheaper than diesel and gasoline and the vehicle has a less adverse effect compared to liquid-fuel vehicles which emitting more C02 as well as several other air pollutants. However, natural gas has a problem to be utilized at ambient temperature since it is difficult to liquefy because it comprises mostly of methane gas, which having a very low critical temperature (191 K). Therefore, this project is mainly to predict the adsorption isotherm of methane gas onto Activated Coconut Shell Charcoal using Neuro- Fuzzy Logic design system. From the modeling done, the prediction of adsorption isotherm at three different temperatures (273 K, 303 K and 323 K) for methane gas onto activated coconut shell charcoal was successfully implemented by using Neuro-Fuzzy module system. The software used was Fuzzytech 5.52 Professional Demo software. The reference data used was taken from research done by E.Loren Fuller,Jr entitled Characterization of Porous Carbon Fibre and Related Materials. From the simulation done, the objective of this project has been achieved due to average error between experimental/reference data and Neuro-Fuzzy Logic data gained is less than 3%. The isotherm plotted between Neuro- Fuzzy Logic data and experimental data shown almost similar to each other. It can be concluded that the equilibrium model of adsorption isotherm of methane gas onto activated coconut shell charcoal was fitted with the experimental data at different temperature, which in this case were 273 K, 303 K and 323 K. Therefore, from the model developed, it is easier to predict the adsorption isotherm at other temperature but limited within the temperature range (273 K- 323 K) andpressure up to 760Torr.