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Carbon Capture Simulation Initiative: A Case Study in Multiscale Modeling and New Challenges
- Source :
- Annual Review of Chemical and Biomolecular Engineering. 5:301-323
- Publication Year :
- 2014
- Publisher :
- Annual Reviews, 2014.
-
Abstract
- 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.
- Subjects :
- Carbon Sequestration
Engineering
Propagation of uncertainty
Process modeling
Renewable Energy, Sustainability and the Environment
Process (engineering)
business.industry
General Chemical Engineering
General Chemistry
Carbon Dioxide
Models, Theoretical
Multiscale modeling
Kinetics
Risk analysis (business)
Hydrodynamics
Systems engineering
Thermodynamics
Process control
Computer Simulation
Process optimization
Uncertainty quantification
business
Algorithms
Environmental Monitoring
Subjects
Details
- ISSN :
- 19475446 and 19475438
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Annual Review of Chemical and Biomolecular Engineering
- Accession number :
- edsair.doi.dedup.....8e649ca9fd013cd0e70e29a30d16ebca
- Full Text :
- https://doi.org/10.1146/annurev-chembioeng-060713-040321