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Uncertainty Quantification in High-Low Dynamic System Coupling using RAVEN and TRANSFORM...

by Wesley C Williams, Vineet Kumar, William L Gurecky, Dane De Wet
Publication Type
Conference Paper
Book Title
Proceedings of the Advances in Thermal Hydraulics (ATH 2022) Meeting
Publication Date
Publisher Location
Illinois, United States of America
Conference Name
Advances in Thermal Hydraulics (ATH 2022)
Conference Location
Anaheim, California, United States of America
Conference Sponsor
American Nuclear Society
Conference Date

This work demonstrates new functionality and applications stemming from the development of high-fidelity to low-fidelity (high-low) coupling for system simulations and to further explore the capabilities of the Risk Analysis Virtual Environment (RAVEN) in the performance of uncertainty quantification in this kind of high-low coupled system models. The work builds from previous work on high-low coupling that utilized COBRA-TF (CTF), the high-fidelity subchannel analysis code, with a low fidelity model built in ORNL’s TRANSFORM, the system analysis code, utilizing the Functional Mock-Up Interface (FMI). Steady-state and transient analysis examples using the high/low coupled models generated from CTF and TRANSFORM/FMI are investigated. The workflows for both steady-state and transient coupled simulations are described. A steady-state parameter sweep and uncertainty analysis of the primary flow rates and reactor power are demonstrated. Likewise, a transient pump trip and power ramp sensitivity studies are also demonstrated. This work elucidates some of the potential benefits and future needs of using RAVEN for high/low system coupling analysis of energy systems. It also shows some of the difficulties that can be encountered in coupling system simulations.