Initial full core SMR simulations with NekRS

Merzari, Elia; Fang, Jun; Shaver, Dillon; Lan, Yu-Hsiang; Min, Misun; Fischer, Paul; Rahaman, Ronald; Romano, Paul K.

doi:10.2172/1762135

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…At runtime, the user can specify which parallel programming model to target, after which OCCA translates the OKL source code into the desired target language and Just-In-Time (JIT) compiles kernels for the user's target hardware architecture. In the recent application of NekRS, we have successfully simulated an entire pebble bed core [16] and SMR core [17,18].…”

Section: The Nek5000 and Nekrs Cfd Codesmentioning

confidence: 99%

High Fidelity CFD Simulations Supporting the KP-FHR

Yuan,

Nguyen,

Merzari

et al. 2022

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is a U.S. Department of Energy laboratory managed by UChicago Argonne, LLC under contract DE-AC02-06CH11357. The Laboratory's main facility is outside Chicago, at 9700 South Cass Avenue, Argonne, Illinois 60439. For information about Argonne and its pioneering science and technology programs, see www.anl.gov. DOCUMENT AVAILABLITYOnline Access: U.S. Department of Energy (DOE) reports produced after 1991 and a growing number of pre-1991 documents are available free at OSTI.GOV (http://www.osti.gov/), a service of the US Dept. of Energy's Office of Scientific and Technical Information.

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Section: The Nek5000 and Nekrs Cfd Codesmentioning

confidence: 99%

High Fidelity CFD Simulations Supporting the KP-FHR

Yuan,

Nguyen,

Merzari

et al. 2022

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“…The digital twinning of an entire tokamak is commonly projected to be an exascale endeavour: it is not dissimilar to the challenge of modelling small modular reactors in fission where equivalent projections have already been established [9]. It is also generally accepted that traditional tools employed in computer-assisted engineering workflows do not scale well even beyond tens of compute cores, let alone the many thousands, which will surely be required.…”

Section: Introductionmentioning

confidence: 99%

Scalable multi-physics for fusion reactors with AURORA

Brooks

Davis

2022

Plasma Phys. Control. Fusion

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To support the design of fusion reactors for energy production, there is an urgent need to develop multi-physics software tools capable of modelling critical tokamak components as a single cohesive whole. Although some loosely-coupled physics tools do exist, these lack fidelity and will fundamentally fail to capture any closed-loop feedback effects between separate physics modules. To address this need, we introduce a new open-source code: AURORA: A Unified Resource for OpenMC (fusion) Reactor Applications. Anticipating the need for high-fidelity simulation of complex physics and geometry mandates the need to target high performance computing from the outset. AURORA has been built upon two demonstrably scalable open-source codes: MOOSE for the provision of finite element analysis and OpenMC for Monte Carlo neutron transport. In this application, the heat deposited by neutrons is calculated by OpenMC and tallied upon an unstructured mesh, providing a source term for transient heat conduction and thermal expansion. MOOSE calculates the corresponding change in temperature and density on the same mesh, whereafter local temperature and density regions are defined via binning in these variables. Finally, these regions are updated within OpenMC as new materials having modified nuclear cross sections. The procedure is subsequently iterated until a desired stopping condition is reached. We present some qualitative results as a proof-of-concept demonstration of AURORA. We further demonstrate that there is no measurable degradation in shared-memory performance arising from wrapping OpenMC in a MOOSE application. While AURORA should provide utility as a standalone tool for coupled thermo-mechanical and neutronics analyses, we view it as a first step towards our ultimate goal of having a single suite capable of capturing non-trivial couplings between the many disciplines—encompassing in addition fluid dynamics, electromagnetism, materials science and chemistry—involved in the simulation of a tokamak.

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Digital: accelerating the pathway

Davis,

Waldon,

Muldrew

et al. 2024

Phil. Trans. R. Soc. A.

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The Spherical Tokamak for Energy Production (STEP) programme is an ambitious but challenging endeavour to design and deliver a prototype fusion power plant. It is a rapid, fast-moving programme, designing a first of a kind device in a Volatile, Uncertain, Complex and Ambiguous (VUCA) environment, and digital tools play a pivotal role in managing and navigating this space. Digital helps manage the complexity and sheer volume of information. Advanced modelling and simulation techniques provide a platform for designers to explore various scenarios and iteratively refine designs, providing insights into the intricate interplay of requirements, constraints and design factors across physics, technology and engineering domains and aiding informed decision-making amidst uncertainties. It also provides a means of building confidence in the new scientific, technological and engineering solutions, given that a full-scale-integrated precursor test is not feasible, almost by definition. The digital strategy for STEP is built around a vision of a digital twin of the whole plant. This will evolve from the current digital shadow formed by system architecting codes and complex workflows and will be underpinned by developing capabilities in plasma, materials and engineering simulation, data management, advanced control, industrial cybersecurity, regulation, digital technologies and related digital disciplines. These capabilities will help address the key challenges of managing the complexity and quantity of information, improving the reliability and robustness of the current digital shadow and developing an understanding of its validity and performance. This article is part of the theme issue ‘Delivering Fusion Energy – The Spherical Tokamak for Energy Production (STEP)’.

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Initial full core SMR simulations with NekRS

Abstract: 60439. For information about Argonne and its pioneering science and technology programs, see www.anl.gov.

Cited by 4 publications

References 9 publications

High Fidelity CFD Simulations Supporting the KP-FHR

High Fidelity CFD Simulations Supporting the KP-FHR

Scalable multi-physics for fusion reactors with AURORA

Digital: accelerating the pathway

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