A quantitative risk assessment methodology based on CCDF risk curve for accidental releases from fusion reactors

Wang, Zhen; Chen, Shanqi; Ge, Daochuan; Chen, Chao; Chen, Zhibin

doi:10.1016/j.nme.2020.100819

Cited by 5 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hong Y integrated a deterministic approach with fault tree analysis for reliability assessment of generation and transmission systems [11]. Wang Z proposed a risk assessment methodology on the basis of the accident characteristics for fusion reactors [12]. Wang D proposed the probabilistic safety goals with dose vs. frequency and assessed the accident consequence frequency for fusion reactors by applying PSA [13].…”

Section: Introductionmentioning

confidence: 99%

A New Reliability Allocation Method Based on PSA and AHP for Fusion Reactors

Sun

et al. 2022

Energies

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

A New Reliability Allocation Method Based on PSA and AHP for Fusion Reactors

Sun

et al. 2022

Energies

Self Cite

View full text Add to dashboard Cite

show abstract

“…The safety of ITER (and of other nuclear fusion systems, like the European Demonstration Power Plant (EU DEMO)) needs to be verified and proved by a rigorous assessment of the system's response to operational transients and accidental conditions, and the related (safety) gaps and issues need to be underlined [6][7][8][9][10][11]. Actually, we must avoid the plant operators, the people, and the environment being contaminated by radioactive agents, e.g., tritium and other materials activated by the neutrons generated by the nuclear fusion reactions [12][13][14][15]. Additionally, the protection and integrity of the superconducting magnet system must be guaranteed, due to its huge cost [16], as well as due to the need to ensure at least a lifetime equal to that of the nuclear fusion plant itself.…”

Section: Introductionmentioning

confidence: 99%

Metamodeling and On-Line Clustering for Loss-of-Flow Accident Precursors Identification in a Superconducting Magnet Cryogenic Cooling Circuit

et al. 2021

View full text Add to dashboard Cite

In the International Thermonuclear Experimental Reactor, plasma is magnetically confined with Superconductive Magnets (SMs) that must be maintained at the cryogenic temperature of 4.5 K by one or more Superconducting Magnet Cryogenic Cooling Circuits (SMCCC). To guarantee cooling, Loss-Of-Flow Accidents (LOFAs) in the SMCCC are to be avoided. In this work, we develop a three-step methodology for the prompt detection of LOFA precursors (i.e., those combinations of component failures causing a LOFA). First, we randomly generate accident scenarios by Monte Carlo sampling of the failures of typical SMCCC components and simulate the corresponding transient system response by a deterministic thermal-hydraulic code. In this phase, we also employ quick-running Proper Orthogonal Decomposition (POD)-based Kriging metamodels, adaptively trained to reproduce the output of the long-running code, to decrease the computational time. Second, we group the generated scenarios by a Spectral Clustering (SC) employing the Fuzzy C-Means (FCM), in order to identify the main patterns of system evolution towards abnormal states (e.g., a LOFA). Third, we develop an On-line Supervised Spectral Clustering (OSSC) technique to associate time-varying parameters measured during plant functioning to one of the prototypical groups obtained, which may highlight the related LOFA precursors (in terms of SMCCC components failures). We apply the proposed technique to the simplified model of a cryogenic cooling circuit of a single module of the ITER Central Solenoid Magnet (CSM). The framework developed promptly detects 95% of LOFA events and around 80% of the related precursors.

show abstract

An integrated safety assessment method based on PSA and RAMI for fusion reactors

Sun

et al. 2023

Nuclear Materials and Energy

View full text Add to dashboard Cite

A quantitative risk assessment methodology based on CCDF risk curve for accidental releases from fusion reactors

Cited by 5 publications

References 15 publications

A New Reliability Allocation Method Based on PSA and AHP for Fusion Reactors

A New Reliability Allocation Method Based on PSA and AHP for Fusion Reactors

Metamodeling and On-Line Clustering for Loss-of-Flow Accident Precursors Identification in a Superconducting Magnet Cryogenic Cooling Circuit

An integrated safety assessment method based on PSA and RAMI for fusion reactors

Contact Info

Product

Resources

About