High-Fidelity Simulations of an Air-cooled Reactor Cavity Cooling System

Sinan Okyay, Victor Coppo Leite, Elia Merzari, Paolo Balestra, Gerhard Strydom

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nuclear energy is increasingly being acknowledged as having a pivotal role in the global shift toward cleaner energy solutions. Among the various types of Generation IV reactors, advanced nuclear technologies such as high-temperature gas-cooled reactors (HTGRs) are particularly appealing, thanks to their high-temperature heat output and potential for cogeneration. HTGR designs incorporate passive safety systems (e.g., the Reactor Cavity Cooling System [RCCS]) that utilize natural principles to manage heat dissipation from the reactor pressure vessel (RPV) during accidents or routine shutdowns. Regulatory bodies require thorough validation of such safety systems in order to ensure they meet specified s tandards. Consequently, the industry is experiencing a pressing need for advanced simulation tools that can accurately assess the performance of these types of systems. In the literature, a knowledge gap exists concerning high-fidelity data for the RCCS, and this gap is one of the areas of focus of the present study. This research focuses on a specific RCCS designed for General Atomics’ Modular High-Temperature Gas Reactor (GA-MHTGR). Experimental studies on a scaled version of the air-cooled RCCS used in GA-MHTGR were conducted by the University of Wisconsin-Madison (UW-Madison). This work contributes to a broader initiative aimed at establishing a numerical benchmark based on the UW-Madison experiments. As a first s tep, we p erformed h igh-fidelity si mulations of the experimental facility setup in order to analyze the flow p hysics i n s uch s ystems a nd t o validate NekRS and the Multiphysics Object-Oriented Simulation Environment (MOOSE) heat transfer and radiation modules.

Original languageEnglish (US)
Title of host publicationPacific Basin Nuclear Conference, PBNC 2024
PublisherAmerican Nuclear Society
Pages474-483
Number of pages10
ISBN (Electronic)9798331307653
DOIs
StatePublished - 2024
Event2024 Pacific Basin Nuclear Conference, PBNC 2024 - Idaho Falls, United States
Duration: Oct 7 2024Oct 10 2024

Publication series

NamePacific Basin Nuclear Conference, PBNC 2024

Conference

Conference2024 Pacific Basin Nuclear Conference, PBNC 2024
Country/TerritoryUnited States
CityIdaho Falls
Period10/7/2410/10/24

All Science Journal Classification (ASJC) codes

  • Nuclear Energy and Engineering

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