A Framework for Optimization and Quantification of Uncertainty and Sensitivity for Developing Carbon Capture Systems
Under the auspices of the U.S. Department of Energy’s Carbon Capture Simulation Initiative (CCSI), a Framework for Optimization and Quantification of Uncertainty and Sensitivity (FOQUS) has been developed. This tool enables carbon capture systems to be rapidly synthesized and rigorously optimized, in an environment that accounts for and propagates uncertainties in parameters and models. FOQUS currently enables (1) the development of surrogate algebraic models utilizing the ALAMO algorithm, which can be used for superstructure optimization to identify optimal process configurations, (2) simulation-based optimization utilizing derivative free optimization (DFO) algorithms with detailed black-box process models, and (3) rigorous uncertainty quantification through PSUADE. FOQUS utilizes another CCSI technology, the Turbine Science Gateway, to manage the thousands of simulated runs necessary for optimization and UQ. Thus, this computational framework has been demonstrated for the design and analysis of a solid sorbent based carbon capture system.
- Research Organization:
- National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE Office of Fossil Energy and Carbon Management (FECM); USDOE Office of Fossil Energy (FE); USDOE
- OSTI ID:
- 1829101
- Alternate ID(s):
- OSTI ID: 1163761; OSTI ID: 1201556
- Report Number(s):
- NETL-PUB-953; S1876610214019286; PII: S1876610214019286
- Journal Information:
- Energy Procedia (Online), Journal Name: Energy Procedia (Online) Vol. 63 Journal Issue: C; ISSN 1876-6102
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- Netherlands
- Language:
- English
Web of Science
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Advanced Computational Tools for Optimization and Uncertainty Quantification of Carbon Capture Processes
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