This report demonstrates new functionality and applications enabled by the development of high-fidelity to low-fidelity (high-low) coupling for system simulations. Additionally, this development allows further exploration of the capabilities of the Risk Analysis Virtual Environment (RAVEN), a novel software framework, in the performance of uncertainty quantification in these high-low coupled system models. The work builds on previous work on high-low coupling that utilized COBRA-TF (CTF), the high-fidelity subchannel analysis code, with a low-fidelity model built in the system analysis code TRANSFORM, 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 in-memory and out-of-memory coupling are shown with specific applications to nuclear systems' uncertainty and system characterization studies. This work elucidates some of the potential benefits and future needs of using RAVEN for high-low system coupling analysis of energy systems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.