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

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.

Citation

Wootton, M. J., Zhou, Y., Andrews, J. D., Smith, R., Arul, A. J., Vinod, G., …Garg, V. (2022). Optimisation of nuclear reactor primary coolant design and maintenance parameters. Applied Stochastic Models in Business and Industry, https://doi.org/10.1002/asmb.2722

• 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