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Optimisation of nuclear reactor primary coolant design and maintenance parameters

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journal contribution
posted on 2022-12-01, 11:33 authored by Mark James Wootton, Ying Zhou, John D Andrews, Roger Smith, John Arul, Gopika Vinod, Hari Prasad Muruva, Vipul Garg

An optimisation methodology is presented using the primary coolant circulation system of a nuclear reactor as its case study, the purpose of which is to find combinations of selected design and maintenance parameters to maximise the reactor safety and minimise monetary expenditure. The parameter space was sampled by a Monte Carlo method and Petri net modelling was used to predict the performance of each of these options. The optimal solutions were then extracted from the data via computation of the Pareto front, with further analysis conducted on parameter sets of interest.

Funding

A Resilience Modelling Framework for Improved Nuclear Safety (NuRes)

Engineering and Physical Sciences Research Council

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History

School

  • Science

Department

  • Mathematical Sciences

Published in

Applied Stochastic Models in Business and Industry

Publisher

Wiley

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Wiley under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2022-10-06

Publication date

2022-10-26

Copyright date

2022

ISSN

1524-1904

eISSN

1526-4025

Language

  • en

Depositor

Prof Roger Smith. Deposit date: 21 November 2022