Carbon dioxide hydrogenation to methanol : Process simulation and optimization studies

Francis, Angel and Ramyashree, M. S. and Shanmuga Priya, S. and Kumar, Surendra Harish and Sudhakar, Kumarasamy and Fan, Wei Keen and Tahir, Muhammad (2022) Carbon dioxide hydrogenation to methanol : Process simulation and optimization studies. International Journal of Hydrogen Energy, 47 (86). pp. 36418-36432. ISSN 0360-3199. (Published)

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Abstract

This work investigates process simulation and optimization as an efficient approach to mitigate global warming using carbon dioxide hydrogenation to methanol. Modeling and simulation of hydrogenation to methanol were studied using Aspen Plus V8. Cu/ZnO/Al2O3 catalyst is used to optimize parameters to enhance the reduction of CO2 to methanol. The effect of temperature, pressure, and the feed flow rate on CO2 conversion and CH3OH yield was reported. Response surface methodology (RSM) is used to analyze the chemical equilibrium of the CH3OH production process to obtain an optimal way of assuring a relatively higher CO2 conversion and CH3OH production rate. It helps to evaluate the optimum temperature, pressure, andH2/CO2 molar ratio to achieve maximum CO2 conversion and CH3OH yield. The impact of conversion and CH3OH yield was evaluated using surface plots. The RSM studies show optimized conditions for conversion and CH3OH yield at a temperature of 210 °C, a pressure of 55 bar, and a H2/CO2 concentration of 1:5. The anticipated CO2 conversion and CH3OH yield were 87.56% and 11.22%, respectively, whereas the simulation gave CO2 conversion of 87.65% and CH3OH yield of 11.39%. The generated quadratic model accurately predicts carbon dioxide conversion to methanol. The applicability of the model to forecast CO2 conversion and CH3OH yield is supported by the agreement between the simulated and expected results. This work can be considered a possible solution to overcome the thermodynamic difficulty by providing a higher CO2 conversion and would be beneficial for further investigation in industrial process.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	CO2 reduction; Hydrogenation; Methano production; Process optimization; Response surface methodology
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics
Faculty/Division:	Faculty of Mechanical and Automotive Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	08 Feb 2024 06:42
Last Modified:	08 Feb 2024 06:42
URI:	http://umpir.ump.edu.my/id/eprint/40192
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