Carbon capture simulation initiative: A case study in multiscale modeling and new challenges

David C. Miller, Madhava Syamlal, David S. Mebane, Curt Storlie, Debangsu Bhattacharyya, Nikolaos V. Sahinidis, Deb Agarwal, Charles Tong, Stephen E. Zitney, Avik Sarkar, Xin Sun, Sankaran Sundaresan, Emily Ryan, Dave Engel, Crystal Dale

Research output: Contribution to journalArticlepeer-review

68 Scopus citations


Advanced multiscale modeling and simulation have the potential to dramatically reduce the time and cost to develop new carbon capture technologies. The Carbon Capture Simulation Initiative is a partnership among national laboratories, industry, and universities that is developing, demonstrating, and deploying a suite of such tools, including basic data submodels, steady-state and dynamic process models, process optimization and uncertainty quantification tools, an advanced dynamic process control framework, high-resolution filtered computational-fluid-dynamics (CFD) submodels, validated high-fidelity device-scale CFD models with quantified uncertainty, and a risk-Analysis framework. These tools and models enable basic data submodels, including thermodynamics and kinetics, to be used within detailed process models to synthesize and optimize a process. The resulting process informs the development of process control systems and more detailed simulations of potential equipment to improve the design and reduce scale-up risk. Quantification and propagation of uncertainty across scales is an essential part of these tools and models.

Original languageEnglish (US)
Pages (from-to)301-323
Number of pages23
JournalAnnual Review of Chemical and Biomolecular Engineering
StatePublished - Jun 2014

All Science Journal Classification (ASJC) codes

  • General Chemistry
  • General Chemical Engineering


  • Computational fluid dynamics
  • Optimization
  • Process control
  • Process synthesis
  • Risk analysis
  • Uncertainty quantification


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