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The increasing concentration of CO2 has caused various adverse environmental effects on the Earth’s oceans, land, and atmosphere, leading to a worldwide consensus on the necessity of action and commitment to emission reduction. Carbon Capture and Storage (CCS), which involves capturing CO2 resulting from industrial processes for storage in underground geological formations, has proven to be an effective method for CO2 emission mitigation. CO2 absorption using chemical solvents such as amines is a prevailing but technically challenging and rather low-efficiency method of carbon capture. Ionic Liquids (ILs) provide a green alternative for chemical CO2 capturing. However, their typically high viscosity and uncertain selectivity pose challenges to their application. This research is intended to improve the techno-economic viability of carbon capture through CO2 absorption with ILs. We integrate the process design in customizing task-specific ILs through a combination of experimental, mathematical, molecular modelling, and machine learning approaches.
Sohrab Zendehboudi
Energy, Matter & Environmental (EM&E) Consultants Inc
Engineering
Professional, scientific and technical services
Memorial University of Newfoundland
Accelerate
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