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A framework for optimization and quantification of uncertainty and sensitivity for developing carbon capture systems [electronic resource].

Published:
Washington, D.C. : United States. Dept. of Energy, 2014.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Additional Creators:
National Energy Technology Laboratory (U.S.), United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary:
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. This computational framework has been demonstrated for the design and analysis of a solid sorbent based carbon capture system.
Report Numbers:
E 1.99:netl-pub-953
netl-pub-953
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Note:
Published through SciTech Connect.
01/01/2014.
"netl-pub-953"
ScienceDirect FT
Miller, David C; John C Eslick, John C; Ng, Brenda Ng; Gao, Qianwen; Tong, Charles H; Sahinidis, Nikolaos V.
View MARC record | catkey: 14443727