Innovative computational tools and models for the design, optimization and control of carbon capture processes

The development and scale up of cost effective carbon capture processes is of paramount importance to enable the widespread deployment of these technologies to significantly reduce greenhouse gas emissions. The U.S. Department of Energy initiated the Carbon Capture Simulation Initiative (CCSI) in 2011 with the goal of developing a computational toolset that would enable industry to more effectively identify, design, scale up, operate, and optimize promising concepts (Miller et al., 2014). The CCSI Toolset consists of both multi-scale models as well as new computational tools. This paper focuses specifically on the PSE-related computational tools and models that provide new capabilities for integrating multi-scale models with advanced optimization, uncertainty quantification (UQ), and surrogate modeling techniques.