Reliability and redundancy allocation analysis applied to a nuclear protection system

Authors

DOI:

https://doi.org/10.15392/bjrs.v9i2B.1558

Keywords:

reliability, protection system, SMR

Abstract

Brazil is constructing with national technology two small nuclear reactors for propulsion and for radioisotope production with thermal power levels between 20 and 50 MW. These nuclear reactors fit more in the class of small modular reactors (SMR) than in the class of large nuclear power plants. In this article we apply the design approach of SMRs to propose an architecture of reactor protection systems for the small reactor under construction in the country. To do that the probabilistic analysis of the architecture of a nuclear reactor protection system is evaluated to determine the sensitivity of the components through an Reliability Block Diagram modeling. It was evaluated the modification of the architecture and the addition of redundancies when using components with lower life time than the components usually used for this purpose. The results showed that after one year of operation, the reference RPS system presents a failure probability of 0.17 %. The modified system, with components with lower life time, presents a point reliability value only 0.070 % lower than the reference one, but this difference grows exponentially over time, and in 10 years of operation it can reach values above 95%. Using equipment with lower life time characteristics implies a greater number of redundancies and, additionally, a greater number of maintenance procedures and spare parts. Therefore, this technical feasibility analysis should consider a RAM simulation as well.

Downloads

Download data is not yet available.

Author Biographies

  • Alexander Lucas Busse, Amazônia Azul Tecnologias de Defesa S.A
    Especialista de desenvolvimento de tecnologia nuclear na Amazul. Atuando nas áreas de análise de acidente e segurança nuclear.
  • João Manoel Losada Moreira, Universidade Federal do ABC
    Professor doutor livre docente do curso de engenharia de Energia na Universidade Federal do ABC

References

Cameron RF. Willers A. Use of Risk assessment in the nuclear industry with specific reference to the Autralian situation. Reliability Engineering and Safety 2001; 74:275-282.

Karydas DM, Brombacher AC. Reliability certification of programmable electronic systems. Reliability Engineering and Safety 1999; 66:103-107.

Busse A.L., Moreira J.M.L. Avaliação sistêmica de tolerância a falhas em sistemas de proteção de reatores nucleares. R. Tecnol. Soc., Curitiba, v. 16, n. 42, p. 58-74. jul/set. 2020. Disponível em: https://periodicos.utfpr.edu.br/rts/article/view/9780.

Herder PM, Van Lujik JA, Bruijnooge J. Industrial application of RAM modeling Development and implementation of a RAM simulation model for the Lexan plant at GE Industrial, Plastics. Reliability Engineering and Safety 2008; 93:501-508.

HEYCK, H.; SALM, M. Short Communication: Development of a Digital Reactor Control and Protection System. Reliability Engineering and System Safety. Vol. 27, p. 257-266, 1990.

Ghofrani, M. B.; Damghani, S.A. Determination of the safety importance of systems of the Tehran research using a PSA method. Annals of Nuclear Energy 29, pp. 1989-2000, 2002.

Ramirez-Marquez JE, Coit DW. Optimization of system reliability in the presence of common cause failures. Reliability Engineering and Safety 2007; 92:1421-1434.

Coit DW, Zio E. The evolution of system reliability optimization. Reliability Engineering and Safety, 2018;

Yadav OM, Zhuang X. A pratical reliability allocation method considering modified cricality factors. Reliability Engineering and Safety 2014; 129:57-65.

Mettas, A., Reliability Allocation and Optimization for Complex Systems, Proceedings of the Annual Reliability & Maintainability Symposium, 2000.

Cao D, Murat A, Chinnam RB. Efficient exact optimization of multi-objective redundancy allocation problems in series-parallel systems. Reliability Engineering and System Safety 2013; 111:154-163.

Garg H, Sharma SP. Reliability-Redundancy allocation problem of pharmaceutical plant. Journal of Engineering Science and Technology. Vol 8, No.2 (2013) 190-198.

Korver B. The Monte Carlo method and software reliability theory, http://www-cs-students.stanford.edu/briank/BrianKorverMonteCarlo.pdf, February 1994.

Downloads

Published

2021-07-25

Issue

Section

XXI Meeting on Nuclear Reactor Physics and Thermal Hydraulics (XXI ENFIR) and VI ENIN

How to Cite

Reliability and redundancy allocation analysis applied to a nuclear protection system. Brazilian Journal of Radiation Sciences, Rio de Janeiro, Brazil, v. 9, n. 2B (Suppl.), 2021. DOI: 10.15392/bjrs.v9i2B.1558. Disponível em: https://bjrs.org.br/revista/index.php/REVISTA/article/view/1558.. Acesso em: 17 nov. 2024.

Similar Articles

1-10 of 385

You may also start an advanced similarity search for this article.