IIA Tech data scientists and subject matter experts support the analysis and optimization of carbon capture technologies for the National Energy Technology Laboratory (NETL) Carbon Capture Simulation for Industry Impact (CCSI2) project. This project is a partnership among national laboratories, industry and academic institutions that applies cutting-edge computational modeling and simulation tools to accelerate the commercialization of carbon capture technologies from discovery to development, demonstration, and ultimately the widespread deployment to hundreds of power plants. The CCSI2 initiative focuses on applying the advanced simulation tools developed by its predecessor project, the Carbon Capture Simulation Initiative (CCSI), and developing additional capabilities using state-of-the-art mathematical and machine learning techniques to maximize learning of physical/chemical processes through computational tools.

IIA Tech develops process simulation flowsheets and applies data science tools, such as uncertainty quantification, design of experiments, and machine learning, to help design better carbon-capture processes. Our work reduces the time and cost to maximize learning from experiments in pilot plants. In addition, we support the modeling and analysis of low viscosity, water-lean solvent with polarity swing regeneration that are anticipated to have favorable CO2 capture costs. Our expertise in applying uncertainty quantification to identify critical solvent data gaps for solvent-based CO2 capture systems, will reduce the time and cost to develop advanced materials for carbon capture.

If you would like to learn more about our support for this initiative, please contact John Ramsey.