LAPSE:2023.12254
Published Article
LAPSE:2023.12254
A New Reliability Allocation Method Based on PSA and AHP for Fusion Reactors
Ming Sun, Taosheng Li, Jie Yu, Daochuan Ge, Ying Bai, Longlong Tao
February 28, 2023
Abstract
Reasonable and feasible reliability index allocation is significant for improving safety and reducing costs for fusion reactors. Although the reliability index is allocated when designing some key systems, reliability allocation is not implemented from the overall layer to the system and component layers for fusion reactors. In this contribution, fusion reactors are divided into different layers by applying the Analytic Hierarchy Process (AHP); these layers include the overall layer, system layer and component layer, failure mode layer, etc. Combining the Probabilistic Safety Assessment (PSA) model for fusion reactors and AHP, the reliability index is allocated from the overall layer to the system and component layer. Firstly, a new reliability index allocation method based on PSA and AHP for fusion reactors is proposed. Secondly, the PSA model for an in-vessel LOCA accident of fusion reactors is selected as a case study to demonstrate the applications of the proposed method. Lastly, the relationship between PSA, items safety classification and reliability allocation are discussed. The allocation results indicate that the proposed method provides a more systematic reliability allocation scheme and contributes to improving the safety and economy of fusion reactors.
Keywords
AHP, fusion reactor, PSA, reliability allocation
Suggested Citation
Sun M, Li T, Yu J, Ge D, Bai Y, Tao L. A New Reliability Allocation Method Based on PSA and AHP for Fusion Reactors. (2023). LAPSE:2023.12254
Author Affiliations
Sun M: Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230027, China [ORCID]
Li T: Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Yu J: Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Ge D: Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Bai Y: School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China
Tao L: Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230027, China
Journal Name
Energies
Volume
15
Issue
13
First Page
4850
Year
2022
Publication Date
2022-07-01
ISSN
1996-1073
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Original Submission
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PII: en15134850, Publication Type: Journal Article
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LAPSE:2023.12254
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https://doi.org/10.3390/en15134850
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