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Integrated deterministic and probabilistic safety assessment of a superconducting magnet cryogenic cooling circuit for nuclear fusion applications

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  • Bellaera, R.
  • Bonifetto, R.
  • Di Maio, F.
  • Pedroni, N.
  • Savoldi, L.
  • Zanino, R.
  • Zio, E.

Abstract

The most promising configuration of a nuclear energy fusion system is the tokamak, the largest of which, called ITER, is under construction in Cadarache, France, which uses a complex system of superconducting magnets to generate a field of several tesla (T), aimed at confining the plasma in the toroidal chamber where nuclear fusion reactions occur. For industrial development, the safety of nuclear fusion systems has to be proved and verified by a systematic analysis of operational transients and accidental conditions. Although the final aim of fusion reactors is to reach steady state operation, present-day tokamaks present complex dynamic features, as their operation is based on the transformer principle with a subset of the superconducting magnets operating in a pulsed mode, to inductively generate plasma currents of the order of several MA. We adopt the framework of Integrated Deterministic and Probabilistic Safety Assessment (IDPSA), for identifying the component failures that may cause a Loss-Of-Flow-Accident (LOFA) in the cooling circuit of a superconducting magnet for fusion applications. Post-processing of the simulated scenarios for the identification of the abnormal transients is performed in an unsupervised manner resorting to a spectral clustering approach embedding a Fuzzy-C Means (FCM) that is compared with an Extended Symbolic Aggregate approximation (ESAX) from the literature that also resorts to the FCM for the classification.

Suggested Citation

  • Bellaera, R. & Bonifetto, R. & Di Maio, F. & Pedroni, N. & Savoldi, L. & Zanino, R. & Zio, E., 2020. "Integrated deterministic and probabilistic safety assessment of a superconducting magnet cryogenic cooling circuit for nuclear fusion applications," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:reensy:v:201:y:2020:i:c:s0951832019301425
    DOI: 10.1016/j.ress.2020.106945
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    References listed on IDEAS

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    Cited by:

    1. Destino, V. & Bonifetto, R. & Maio, F. Di & Pedroni, N. & Zanino, R. & Zio, E., 2021. "Identification of LOFA precursors in ITER superconducting magnet cryogenic cooling circuit," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    2. Vincenzo Destino & Nicola Pedroni & Roberto Bonifetto & Francesco Di Maio & Laura Savoldi & Enrico Zio, 2021. "Metamodeling and On-Line Clustering for Loss-of-Flow Accident Precursors Identification in a Superconducting Magnet Cryogenic Cooling Circuit," Energies, MDPI, vol. 14(17), pages 1-37, September.
    3. Ming Sun & Taosheng Li & Jie Yu & Daochuan Ge & Ying Bai & Longlong Tao, 2022. "A New Reliability Allocation Method Based on PSA and AHP for Fusion Reactors," Energies, MDPI, vol. 15(13), pages 1-10, July.

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