Optimizing Nuclide Sets for Efficient Monte Carlo Simulations in Large-Scale and Multiphysics Nuclear Reactor Models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F24%3A00381193" target="_blank" >RIV/68407700:21730/24:00381193 - isvavai.cz</a>

Result on the web

<a href="https://www.djs.si/nene2024proceedings/pdf/NENE2024_115.pdf" target="_blank" >https://www.djs.si/nene2024proceedings/pdf/NENE2024_115.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Optimizing Nuclide Sets for Efficient Monte Carlo Simulations in Large-Scale and Multiphysics Nuclear Reactor Models

Original language description

The paper presents an extensive evaluation of the influence of individual nuclides on key nuclear reactor parameters such as fuel reactivity, decay heat, and radiation sources, with the ultimate goal of identifying an optimized, reduced set of nuclides that maintain accuracy while enhancing computational efficiency in Monte Carlo simulations for large-scale nuclear models. Employing Monte Carlo simulation tools like MCNP or Serpent, which typically face challenges of slowed performance or increased memory demand when using extensive nuclide lists, this research investigates strategies to streamline these simulations without compromising essential details. Using the Teplator heavy water Small Modular Reactor (SMR) core as a detailed case study, the paper examines the effects of nuclide selection at various stages of the reactor cycle — Beginning of Cycle (BOC), Middle of Cycle (MOC) and End of Cycle (EOC). The paper assesses the trade-offs between simulation detail and computational demands by studying deterministic and Monte Carlo calculation approaches. The findings demonstrate the feasibility of significantly reducing the number of nuclides in simulations and highlight how such reductions can be implemented in practice, ensuring that computational resources are judiciously used while retaining a high degree of accuracy in predicting reactor behavior throughout its lifecycle. This approach offers a practical pathway for enhancing the Monte Carlo simulations' efficiency in designing and analyzing large, complex, three-dimensional nuclear reactor models or multiphysics simulations coupling neutronics and thermal hydraulics.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20305 - Nuclear related engineering; (nuclear physics to be 1.3);

Project

<a href="/en/project/TN02000012" target="_blank" >TN02000012: Center of Advanced Nuclear Technology II</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of 33rd International Conference Nuclear Energy for New Europe

ISBN

978-961-6207-59-1

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

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Publisher name

Nuclear Society of Slovenia

Place of publication

Ljubljana

Event location

Portorož

Event date

Sep 9, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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