GSA Annual Meeting in Indianapolis, Indiana, USA - 2018

Paper No. 3-12
Presentation Time: 11:20 AM

OPTIMIZING INFRASTRUCTURE FOR CARBON CAPTURE AND STORAGE TECHNOLOGIES: DEVELOPMENT OF A NEW COST SURFACE MODULE FOR THE SIMCCS SOFTWARE


HOOVER, Brendan1, MIDDLETON, Richard S.2, YAW, Sean2 and ELLETT, Kevin3, (1)University of Texas, Austin, TX 78751; Earth and Environmental Sciences, Los Alamos National Laboratory, PO Box 1663, MS D452, Los Alamos, NM 87545, (2)Earth and Environmental Sciences, Los Alamos National Laboratory, PO Box 1663, MS D452, Los Alamos, NM 87545, (3)Indiana Geological and Water Survey, Indiana University, 611 North Walnut Grove Street, Bloomington, IN 47405

Modifications to the global climate are partly driven by the anthropogenic release of greenhouse gases including carbon dioxide (CO2), which is directly linked to an increase in global temperature. Strategies that limit CO2 emissions like carbon capture, utilization, and storage (CCUS) technology can significantly reduce emissions by capturing CO2 before releasing it to the atmosphere. Despite several promising high-profile demonstration projects, commercial-scale deployment of CCUS has not ensued. CCUS research has focused largely on capturing CO2 emissions from coal-fired power plants, but recent research suggests that considering other industrial sources (e.g., ethanol production) could offer a more feasible approach for near-term CCUS deployment. Accomplishing this goal will require robust techno-economic assessment of integrated CCUS technology systems. The SimCCS software tool can be used to assess the effectiveness of developing regional systems to capture and transport CO2 for injection into geologic reservoirs. SimCCS determines an optimal geospatial arrangement of CCUS infrastructure by incorporating industrial source and geologic sink locations. Continued development of SimCCS includes the integration of a new cost surface tool, which is an integral part of determining the least-cost system buildout. We present a novel approach for calculating cost surfaces to advance applications of the SimCCS software. In addition, we present results from case studies in basins in the US and China where SimCCS is incorporated into a Science Gateway platform to enable international collaboration for addressing complex system problems and financial risk of technology implementation via application of High Performance Computing cyberinfrastructure.