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Optimisation of nuclear reactor primary coolant design and maintenance parameters

Wootton, Mark James; Zhou, Ying; Andrews, John D.; Smith, Roger; Arul, A. John; Vinod, Gopika; Prasad, M. Hari; Garg, Vipul

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Authors

Mark James Wootton

Ying Zhou

JOHN ANDREWS john.andrews@nottingham.ac.uk
Professor of Infrastructure Asset Management

Roger Smith

A. John Arul

Gopika Vinod

M. Hari Prasad

Vipul Garg



Abstract

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.

Journal Article Type Article
Acceptance Date Oct 6, 2022
Online Publication Date Oct 26, 2022
Publication Date Oct 26, 2022
Deposit Date Oct 26, 2022
Publicly Available Date Oct 27, 2023
Journal Applied Stochastic Models in Business and Industry
Print ISSN 1524-1904
Electronic ISSN 1526-4025
Publisher Wiley
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1002/asmb.2722
Keywords Management Science and Operations Research; General Business, Management and Accounting; Modeling and Simulation
Public URL https://nottingham-repository.worktribe.com/output/12896014
Publisher URL https://onlinelibrary.wiley.com/doi/full/10.1002/asmb.2722

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