A graphical approach for mixed ratio optimisation in the binary mixed amine solution

Area of Science:

• Chemical Engineering
• Carbon Capture Technologies
• Separation Processes

Background:

• Chemical absorption is crucial for CO2 separation but suffers from high energy consumption.
• Absorbent performance directly impacts energy demands, driving research into high-capacity, low-regeneration energy solvents.
• Combining amines offers a pathway to develop novel solvents, yet optimal mixing ratios are complex and nonlinear.

Purpose of the Study:

• To visualize and optimize the mixing ratios of binary amine solutions for CO2 capture.
• To develop a method for identifying suitable amine combinations and their ideal proportions.
• To reduce energy consumption and enhance absorption capacity in CO2 separation processes.

Main Methods:

• Introduction of Derivative analysis of standardised vs variables diagram (DSVD) as a graphical optimization tool.
• Application of DSVD to determine optimal mixing ratios for binary amine solutions.
• Experimental optimization of Methyldiethanolamine (MDEA) - Piperazine (PZ) and MDEA - Monoethanolamine (MEA) systems.

Main Results:

• DSVD effectively visualizes the impact of mixing ratios on solvent performance.
• Identified optimal weight percentages for MDEA-PZ (0.6:0.4) and MDEA-MEA (0.8:0.2) systems.
• Demonstrated the method's utility in selecting suitable amine pairs and their ratios.

Conclusions:

• DSVD is a powerful graphical approach for optimizing binary amine solvent mixtures in CO2 capture.
• The study provides specific optimal ratios for MDEA-PZ and MDEA-MEA systems, aiding in energy reduction.
• This method facilitates the development of more efficient and cost-effective CO2 separation technologies.