A Framework for Optimization and Quantification of Uncertainty and Sensitivity for Developing Carbon Capture Systems
Abstract
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.
- Authors:
- Publication Date:
- Research Org.:
- National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE Office of Fossil Energy and Carbon Management (FECM); USDOE Office of Fossil Energy (FE)
- OSTI Identifier:
- 1829101
- Alternate Identifier(s):
- OSTI ID: 1163761; OSTI ID: 1201556
- Report Number(s):
- NETL-PUB-953
Journal ID: ISSN 1876-6102; S1876610214019286; PII: S1876610214019286
- Resource Type:
- Published Article
- Journal Name:
- Energy Procedia (Online)
- Additional Journal Information:
- Journal Name: Energy Procedia (Online) Journal Volume: 63 Journal Issue: C; Journal ID: ISSN 1876-6102
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING; optimization; uncertainty quantification; simulation; surrogate model; carbon capture
Citation Formats
Eslick, John C., Ng, Brenda, Gao, Qianwen, Tong, Charles H., Sahinidis, Nikolaos V., and Miller, David C. A Framework for Optimization and Quantification of Uncertainty and Sensitivity for Developing Carbon Capture Systems. Netherlands: N. p., 2014.
Web. doi:10.1016/j.egypro.2014.11.113.
Eslick, John C., Ng, Brenda, Gao, Qianwen, Tong, Charles H., Sahinidis, Nikolaos V., & Miller, David C. A Framework for Optimization and Quantification of Uncertainty and Sensitivity for Developing Carbon Capture Systems. Netherlands. https://doi.org/10.1016/j.egypro.2014.11.113
Eslick, John C., Ng, Brenda, Gao, Qianwen, Tong, Charles H., Sahinidis, Nikolaos V., and Miller, David C. Wed .
"A Framework for Optimization and Quantification of Uncertainty and Sensitivity for Developing Carbon Capture Systems". Netherlands. https://doi.org/10.1016/j.egypro.2014.11.113.
@article{osti_1829101,
title = {A Framework for Optimization and Quantification of Uncertainty and Sensitivity for Developing Carbon Capture Systems},
author = {Eslick, John C. and Ng, Brenda and Gao, Qianwen and Tong, Charles H. and Sahinidis, Nikolaos V. and Miller, David C.},
abstractNote = {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.},
doi = {10.1016/j.egypro.2014.11.113},
journal = {Energy Procedia (Online)},
number = C,
volume = 63,
place = {Netherlands},
year = {Wed Jan 01 00:00:00 EST 2014},
month = {Wed Jan 01 00:00:00 EST 2014}
}
https://doi.org/10.1016/j.egypro.2014.11.113
Web of Science
Works referenced in this record:
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GAMS, a user's guide
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- ACM SIGNUM Newsletter, Vol. 23, Issue 3-4
Advanced Computational Tools for Optimization and Uncertainty Quantification of Carbon Capture Processes
book, January 2014
- Miller, David C.; Ng, Brenda; Eslick, John
- Proceedings of the 8th International Conference on Foundations of Computer-Aided Process Design