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Suitability of Methyldiethanolamine (MDEA) and Piperazine (PZ) for Improving CO2 Absorption Efficiency Using Rotating Packed Bed (RPB) Technology: A Modeling and Simulation Study

Isaac Jato, Umar Farouk Aliyu, Atuman Samaila Joel, Olumide Olu Olubajo

Abstract


Carbon dioxide (CO2) capture and storage (CCS) is an essential technology for reducing atmospheric CO2 emissions and mitigating climate change, especially in fossil-fuel power generation. However, the high cost of CCS technologies has hindered their widespread adoption. In this study, we modeled CO2 removal using a rotating packed bed (RPB) technology using Visual Fortran and Aspen Plus software. We made use of a blended amine solution including different molar concentration ratios of methyldiethanolamine (MDEA) and piperazine (PZ).We incorporated all the essential RPB correlations and mass and energy balances into the Visual Fortran model, and obtained the required physical and transport parameters from Aspen Plus. We validated the developed model using experimental data, and the modeling results showed good agreement with the experimental data, with a percentage error of less than 10%. This suggests that process analysis may be carried out using the model, which is dependable. Next, we simulated CO2 absorption from a typical 6.4 MWe power plant using the validated model.  Finally, we performed process analysis to study the effect of rotor speed and PZ concentration on the rate of CO2 absorption. Our results showed that rotor speed and PZ concentration have a significant impact on the rate of CO2 absorption. Increasing the rotor speed or PZ concentration increases the rate of CO2 absorption. However, there is a trade-off between these two parameters, as increasing the rotor speed or PZ concentration also increases the energy consumption of the RPB process. Overall, our research showed that the RPB technique for CO2 capture is a promising one.The validated model can be used to design and optimize RPB processes for various applications.


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References


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DOI: https://doi.org/10.37628/jcep.v9i2.1436

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