Nuclear site selection using fuzzy logic: a risk assessment contribution

Autores

  • Cláudio Henrique dos Santos Grecco Instituto de Engenharia Nuclear
  • Vitor Azevedo Rodrigues COPPE/UFRJ - Programa de Engenharia de Produção
  • Carlos Frederico Barros Instituto de Ciência e Tecnologia (ICT) - UFF
  • Luiz Cezar Nacif Junior COPPE/UFRJ - Programa de Engenharia de Produção
  • Carlos Alberto Nunes Cosenza COPPE/UFRJ - Programa de Engenharia de Produção

Resumo

This report presents a fuzzy logic application on the nuclear site selection process supporting established by Electric Power Research Institute - EPRI Siting Guide, concepts, and criteria. The guide model advocates a decision tree use on four major phases. A process involving the sequential application of exclusion, avoidance, and adequacy criteria, including weight factors development on adequacy criteria application.  Phases 1 and 2 generate candidate areas and potential sites from a region of interest and phases 3 and 4 determines the excellent site for a nuclear power plant venture on suitability, weighting, and utilitarian functions criteria. The Fuzzy Logic provides a powerful tool to work on complex issues, wide application variety in this type of decision. The proposal in its entirety demonstrates the importance of risk analysis as an integral part of the project, from the initial design and not isolated in the operational phase.

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Publicado

2021-08-12

Como Citar

dos Santos Grecco, C. H., Rodrigues, V. A., Barros, C. F., Nacif Junior, L. C., & Nunes Cosenza, C. A. (2021). Nuclear site selection using fuzzy logic: a risk assessment contribution. Instituto De Engenharia Nuclear: Progress Report, (4). Recuperado de https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/425

Edição

Seção

Complex Systems Engineering