Framework for Optimization, Quantification of Uncertainty and Surrogates – Updated Capabilities

Conference · Mon Aug 15 04:00:00 EDT 2022

OSTI ID:2000483

Paul, Brandon ^[1]; Deshpande, Anuja ^[1]; Zamarripa-Perez, Miguel A. ^[1]; Boverhof, Josh ^[2]; Sotorrio, Pedro ^[2]; Bartoldson, Brian ^[2]; Caballero, Daison ^[1]; Hughes, Ryan ^[1]; Matuszewski, Michael ^[1]; Omell, Benjamin ^[3]

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1. NETL Site Support Contractor, National Energy Technology Laboratory
2. Lawrence Livermore National Laboratory (LLNL)
3. NETL

This poster presents updated capabilities within the FOQUS Toolset, covering core features as well as project-based applications. Specifically, the poster highlights advancements in FOQUS integration with cloud-based clients, plugin support for machine learning tools and external simulations, sequential design of experiments, and advanced support for dynamic process models. The applications demonstrate the breadth of FOQUS predictive capabilities for chemical, energy and economic system analysis.

• Research Organization: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
• Sponsoring Organization: USDOE Office of Fossil Energy (FE)
• OSTI ID: 2000483
• Country of Publication: United States
• Language: English