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Adsorption is defined as the concentration of gas molecules near the surface of a solid material. The adsorbed gas is called adsorbate and the solid where adsorption takes place is known as the adsorbent Adsorbent means having capacity or tendency to adsorb or causes to accumulate on a surface. The four most widely used adsorbents in decreasing order of commercial usage are activated carbon, molecular-sieve zeolites, silica gel and activated alumina. Hydrocarbon refers to any ofaclass oforganic chemical compounds composed only of the elements carbon and hydrogen such as methane, phenol and butadiene. The carbon atoms join together to form the framework ofthe compound; the hydrogen atoms attach to them in many different configurations. Adsorption isotherm is the relationship between the partial pressure ofan adsorbate gas and the surface coverage of the adsorbent at constant temperature. Not all the correlations can best fit all the data which covers wide range of the temperature and pressure found in most process situations The objectives ofthis project are to search for possible software to be used to regress or correlate adsorption isotherms for data at a wide range of temperature and pressure.. Based on the analysis, comparison study on different types of adsorption isotherms is conducted. The comparison is also done for different type of regression method from Statistical Analysing System (SAS) and MATLAB programming. The scope covers the study of a few selected adsorption isotherms, which are Modified Antoine's Equation, Langmuir, Sips (Langmuir-Freundlich), Toth, Dubinin- Radushkevich and Dubinin-Atakhov isotherms. The data used to determine the best adsorption isotherm is Octane Adsorption on Activated Carbon (M. Shariff, A., 1995). From the data onOctane, the pressure (kPa) and q (mol/kg) is given, thus deriving from this, the unknown variable properties can be achieved. Microsoft Excel has been identified as the software that will be used to correlate the adsorption Isotherm for Octane Adsorption on Activated Carbon. From the results obtained, the best fit of adsorption isotherm data is determined by calculating the variance, where the lowest value of residual obtained shows the best fit.. Verification of the method used is done by comparing the result with published literature .The comparison studywill be done between the result obtainedfrom SAS and MATLAB programming using the same adsorption data, to identify the best software for regression ofAdsorption Isotherms. It can be concluded that, for nonlinear regression, the best approach is Microsoft Excel, since it can provide better fit for the adsorption isotherm of hydrocarbon adsorption. This method is capable for fitting adsorption data which covers wide range of temperature and pressure. Sips equation is the best correlation for the representation of octane adsorption on activated carbon as it gives the smallest value ofvariance.

Item Type: Final Year Project
Academic Subject : Academic Department - Chemical Engineering - Ionic Liquid
Subject: T Technology > TP Chemical technology
Divisions: Engineering > Chemical
Depositing User: Users 2053 not found.
Date Deposited: 30 Sep 2013 16:55
Last Modified: 25 Jan 2017 09:46
URI: http://utpedia.utp.edu.my/id/eprint/7898

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