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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 (Unpublished)

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Abstract

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

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