Kinetics Modelling of
Natural gas contains high amounts of impurities that are important to remove for commercial usage. One of these impurities are known to be carbon dioxide and it is the main culprit in degrading the gas. It reduces the energy content of natural gas has as well as speeds up corrosion in pipelines and...
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| Main Author: | |
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| Format: | Final Year Project |
| Language: | English |
| Published: |
IRC
2015
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| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/15754/1/HARDITH%20SINGH%20MANDER%20DISSERTATION%20FYP.pdf http://utpedia.utp.edu.my/15754/ |
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| Summary: | Natural gas contains high amounts of impurities that are important to remove for commercial usage. One of these impurities are known to be carbon dioxide and it is the main culprit in degrading the gas. It reduces the energy content of natural gas has as well as speeds up corrosion in pipelines and equipment. There are several methods in the removal of this gas one being chemical absorption where the usage of amines are incorporated. In this project, kinetics modelling of blended amine solution of aqueous N-methyldiethanolamine (MDEA) and diethanolamine (DEA) were studied where its behavior was simulated using MATLAB. Determining the reaction rate kinetics and the equilibrium constants enabled us the determination of liquid bulk concentration for the overall system. The kinetics at five different temperatures were observed; 303K, 308K, 313K, 318K and 323K for blended amine solution of different MDEA concentrations (1.0 and 1.5 kmol/m3) and DEA concentrations (0.1, 0.2, 0.3 and 0.4 kmol/m3). The Arrhenius relation, activation energy and reaction rate coefficients were obtained showed promising results at three different randomly selected temperatures; 303K, 308K and 323K, where the condition is at its best at 323K at 0.999952193kmol/m3 of MDEA concentration and 0.999912787kmol/ m3 of DEA concentration. This concludes that the kinetic model developed is valid thus can be further enhanced using different and more sophisticated software to ensure best operating conditions for the solution. |
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