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

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 stud...

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Main Author: Mokhtar Kamil, Muhammad Hafiz
Format: Final Year Project
Language:English
Published: IRC 2015
Subjects:
TP Chemical technology
Online Access:http://utpedia.utp.edu.my/16288/1/15641.Hafiz%20Mokhtar.FYPdessertation.Sept2015.pdf
http://utpedia.utp.edu.my/16288/
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spelling my-utp-utpedia.162882017-01-25T09:35:05Z http://utpedia.utp.edu.my/16288/ Multivariate Calibration of CO2 solubility in Methyldiethanolamine (MDEA) using Raman Spectroscopy Mokhtar Kamil, Muhammad Hafiz TP Chemical technology 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. IRC 2015-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/16288/1/15641.Hafiz%20Mokhtar.FYPdessertation.Sept2015.pdf Mokhtar Kamil, Muhammad Hafiz (2015) Multivariate Calibration of CO2 solubility in Methyldiethanolamine (MDEA) using Raman Spectroscopy. IRC, Universiti Teknologi PETRONAS. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Mokhtar Kamil, Muhammad Hafiz
Multivariate Calibration of CO2 solubility in Methyldiethanolamine (MDEA) using Raman Spectroscopy
description 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.
format Final Year Project
author Mokhtar Kamil, Muhammad Hafiz
author_facet Mokhtar Kamil, Muhammad Hafiz
author_sort Mokhtar Kamil, Muhammad Hafiz
title Multivariate Calibration of CO2 solubility in Methyldiethanolamine (MDEA) using Raman Spectroscopy
title_short Multivariate Calibration of CO2 solubility in Methyldiethanolamine (MDEA) using Raman Spectroscopy
title_full Multivariate Calibration of CO2 solubility in Methyldiethanolamine (MDEA) using Raman Spectroscopy
title_fullStr Multivariate Calibration of CO2 solubility in Methyldiethanolamine (MDEA) using Raman Spectroscopy
title_full_unstemmed Multivariate Calibration of CO2 solubility in Methyldiethanolamine (MDEA) using Raman Spectroscopy
title_sort multivariate calibration of co2 solubility in methyldiethanolamine (mdea) using raman spectroscopy
publisher IRC
publishDate 2015
url http://utpedia.utp.edu.my/16288/1/15641.Hafiz%20Mokhtar.FYPdessertation.Sept2015.pdf
http://utpedia.utp.edu.my/16288/
_version_ 1739832240244785152
score 13.211869

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