Jantan, Nurul Haznie Khussna (2018) Blending Of Alkanolamines Effect Towards Acid Gas Removal In A Post-Combustion Carbon Capture Technology. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Kimia. (Unpublished)
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Abstract
The combustion of coal has released greenhouse gases such as CO2 and H2S into the atmosphere. Therefore, one of the main issues is the clean-up process because gasification produces various pollutants such as particulates and acid gases before itsrelease into the atmosphere. The CO2 emissions can be reduced for power generation by three capture technologies which are post-combustion, pre-combustion and oxyfuel combustion. In this study, the post-combustion CO2 capture involves mainly the separation of CO2 from a CO2/N2 mixture is applied. The absorption capture technology is to apprehend CO2 from power plant by using the blended alkanolamines which are MEA and MDEA. The primary study in this research is to identify the best ratio of blending alkanolamines and other optimum conditions that can affect the acid gas removal efficiency and amine recovery. The TNBR flue gas data are used as a case study and process simulation Aspen plus is utilized to optimize the process. In steady state simulation, the optimal operating conditions of absorber and stripper are found. The operating condition for absorber is 30⁰C (1 atm), while stripper at 117⁰C (2 atm). The best blending of alkanolamines ratio is at 3:7 with 40 wt % of amine in the solvent. By comparing the optimized parameters to TNBR’s result, the efficiency of acid gas removal has an increment of 5.81% which is at 91.55% of efficiency. The best heat duty in this case is 10000 watts, which gives low energy penalty and reduced operating cost.
Item Type: | Monograph (Project Report) |
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Subjects: | T Technology T Technology > TP Chemical Technology |
Divisions: | Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraan Kimia (School of Chemical Engineering) > Monograph |
Depositing User: | Mr Engku Shahidil Engku Ab Rahman |
Date Deposited: | 27 Jul 2022 08:55 |
Last Modified: | 27 Jul 2022 08:55 |
URI: | http://eprints.usm.my/id/eprint/53646 |
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