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, dissertation, 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.

Multivariate Calibration of CO2 solubility in Methyldiethanolamine (MDEA) using Raman Spectroscopy

Mokhtar Kamil, Muhammad Hafiz (2015) Multivariate Calibration of CO2 solubility in Methyldiethanolamine (MDEA) using Raman Spectroscopy. IRC, Universiti Teknologi PETRONAS. (Unpublished)

[img] PDF
Download (718Kb)


For decades, Carbon dioxide (CO2) capturing process had been an important issues since it is one of the major greenhouse gas (GHG) contributors which leads to the global warming. Alkanolamines such as Methyldiethanolamine (MDEA) had been widely used for CO2 capturing by absorption process. A study on carbon dioxide (CO2) solubility was done inside aqueous MDEA solution by using Raman Spectroscopy with the goal of calculating the CO2 loading. This is because, there was still no direct measurement to calculate the CO2 loading inside the MDEA solution. Therefore, a sensor or a measurement device is needed to calculate the CO2 loading. After a three careful experiment had been run on three different MDEA concentrations which are 10%, 20% and 30% concentration, the raw data from the Raman Spectrum had been obtained. Matlab simulation was used to construct a statistical calibration and validation models between the CO2 loading and the peak of Raman Shift by using Partial Least-Squares method (PLS). Results shows that lower MDEA concentration produce better Coefficient of Determination (R2) and Mean Square Error (MSE) for calibration models while the combination of the three MDEA concentrations has found as a good fit with R2 of 0.9651 and MSE of 0.0347 in CO2 loading prediction.

Item Type: Final Year Project
Academic Subject : Academic Department - Chemical Engineering - Separation Process
Subject: T Technology > TP Chemical technology
Divisions: Engineering > Chemical
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 09 Mar 2016 10:50
Last Modified: 25 Jan 2017 09:35
URI: http://utpedia.utp.edu.my/id/eprint/16288

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...