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Predictive Models Of Carbon Capture Systems And Their Validation Using Bench Scale And Pilot Scale Data, Debangsu Bhattacharyya, Anderson Soares, Joshua Morgan, Benjamin Omell, Sarah Genovese, David Miller
Predictive Models Of Carbon Capture Systems And Their Validation Using Bench Scale And Pilot Scale Data, Debangsu Bhattacharyya, Anderson Soares, Joshua Morgan, Benjamin Omell, Sarah Genovese, David Miller
CO2 Summit II: Technologies and Opportunities
Predictive steady-state and dynamic models are essential for optimal design and scale up of CO2 capture processes. The models should be able to predict accurately across all scales and required operating conditions with quantified uncertainty. The U.S. Department of Energy’s Carbon Capture Simulation Initiative (CCSI) process modeling team has been working on the development of a framework to develop such models. This framework is demonstrated on a typical amine-based system which is highly non-ideal and can exhibit large nonlinearities and therefore serves as a nice platform to test the framework. To validate both steady state and dynamic models developed …