4.7 Article

SimCCS: An open-source tool for optimizing CO2 capture, transport, and storage infrastructure

Journal

ENVIRONMENTAL MODELLING & SOFTWARE
Volume 124, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2019.104560

Keywords

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Funding

  1. US-China Advanced Coal Technology Consortium (West Virginia University)
  2. project SimCCS: Development and Applications through the U.S. Department of Energy's (DOE) Fossil Energy Program [FE-1017-18-FY18]
  3. U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL) through the Integrated Mid-Continent Stacked Carbon Storage Hub CarbonSAFE project [DE-FE0029164]
  4. U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL) through Early CO2 Storage Complex in Kemper Country CarbonSAFE project [DE-FE0029465]
  5. U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL) through Rocky Mountain CarbonSAFE project [DE-FE0029280]

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Commercial-scale carbon capture and storage (CCS) technology will involve deploying infrastructure on a massive and costly scale. This effort will require careful and comprehensive planning to ensure that capture locations, storage sites, and the dedicated CO2 distribution pipelines are selected in a robust and cost-effective manner. Introduced in 2009, SimCCS is an optimization model for integrated system design that enables researchers, stakeholders, and policy makers to design CCS infrastructure networks. SimCCS(2.0) is a complete, ground-up redesign that is now a portable software package, useable and shareable by the CCS research, industrial, policy, and public communities. SimCCS(2.0) integrates multiple new capabilities including a refined optimization model, novel candidate network generation techniques, and optional integration with high-performance computing platforms. Accessing user-provided CO2 source, sink, and transportation data, SimCCS(2.0) creates candidate transportation routes and formalizes an optimization problem that determines the most cost-effective CCS system design. This optimization problem is then solved either through a high-performance computing interface, or through third-party software on a local desktop computing platform. Finally, SimCCS(2)(.0) employs an open-access geographic information system framework to enable analysis and visualization capabilities. SimCCS(2.0) is written in Java and is publicly available via GitHub to encourage collaboration, modification, and community development.

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