Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Regression Analysis for Hydrocarbon Adsorption Isotherm on Activated Carbon

Haji Nawawi, Noradnin Hafeeza (2004) Regression Analysis for Hydrocarbon Adsorption Isotherm on Activated Carbon. Universiti Teknologi Petronas. (Unpublished)

[img] PDF
Download (1MB)

Abstract

Adsorption process refers to the capability of all solid substances to attract to their surfaces molecules of gases or solutions with which they are in contact. This process is very useful for purification and separation. It is widely used in industry such as in the separation and fractionation of hydrocarbons for example adsorption of phenol using activated carbon. Adsorption isotherm is a relationship between the partial pressure of an adsorbate gas and the surface coverage of the adsorbent at constant temperature. There are a lot of adsorption isotherms available in the literature, however not all the correlations can best fit all the data which covers wide range of the temperature and pressure found in most process situations. This project deals primarily with the regression analysis on adsorption isotherm correlation of hydrocarbon adsorption. The objectives of this project are to identify the appropriate correlation for adsorption data and to use existing regression analysis software which can cover wide range of temperature and pressure. Based onthe 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 five selected adsorption isotherms, which are Langmuir, Sips (Langmuir-Freundlich), Toth, Dubinin-Radushkevich and Dubinin- Astakhov isotherms. MATLAB programming is used for nonlinear regression of adsorption data at wide range of temperature and pressure. The data used for simulation is taken from published literature. From the result, the best fit of adsorption isotherm data is determined by the statistical analysis using residual. The best fit adsorption isotherm is identified based on the lowest value of residual obtained. Verification of the method used is done by comparing the result with published literature. From this study, it can be concluded the nonlinear regression tool from MATLAB can provide better selection of adsorption isotherm model of hydrocarbon adsorption systems. 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 of residual. The findings of this project are useful for preliminary studies of adsorption isotherm and plays important role inthe design of adsorption unit in the industry.

Item Type: Final Year Project
Academic Subject : Academic Department - Chemical Engineering - Process Safety
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 09:47
URI: http://utpedia.utp.edu.my/id/eprint/7581

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...