The Virtual Test Bed (VTB) Repository: A Library of Reference Reactor Models Using NEAMS Tools

23Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

With the next generation of nuclear reactors under development, modeling and simulation tools are being developed by the U.S. Department of Energy to support their design, licensing, and future operation. Mirroring the physical test beds currently under construction (i.e., Demonstration and Operation of Microreactor Experiments, known as DOME, and Laboratory for Operating and Testing in the United States, known as LOTUS), the Virtual Test Bed was launched by the National Reactor Innovation Center in collaboration with the Nuclear Energy Advanced Modeling and Simulation (NEAMS) program to support the advanced reactor community. This collaborative effort, which involves multiple teams at both Idaho National Laboratory and Argonne National Laboratory, aims to use state-of-the-art simulation tools to model a wide range of reactor designs. These models are automatically tested to ensure their continued functionality as the tools are further developed. Examples are extensively documented, each acting as a tutorial for applying the relevant NEAMS tools to that reactor design. Currently, five advanced reactor types (with a total of 12 specific design subvariants) are simulated by a variety of models. These models range from steady-state, core multiphysics simulations to integrated plant analysis during loss-of-flow transients. To our knowledge, this is the first publicly available library of multiphysics advanced reactor models distributed with extensive documentation and maintained through continuous integration.

Cite

CITATION STYLE

APA

Giudicelli, G. L., Abou-Jaoude, A., Novak, A. J., Abdelhameed, A., Balestra, P., Charlot, L., … Permann, C. (2023). The Virtual Test Bed (VTB) Repository: A Library of Reference Reactor Models Using NEAMS Tools. Nuclear Science and Engineering, 197(8), 2217–2233. https://doi.org/10.1080/00295639.2022.2142440

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free