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Carbon Capture Simulation Initiative: A Case Study in Multiscale Modeling and New Challenges

Authors :
Madhava Syamlal
Crystal Dale
Charles Tong
Curtis B. Storlie
Avik Sarkar
Deb Agarwal
Stephen E. Zitney
David S. Mebane
David C. Miller
Xin Sun
David W. Engel
Debangsu Bhattacharyya
Emily M. Ryan
Sankaran Sundaresan
Nikolaos V. Sahinidis
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.

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