IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i13p4850-d853974.html
   My bibliography  Save this article

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

Author

Listed:
  • Ming Sun

    (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)

  • Taosheng Li

    (Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China)

  • Jie Yu

    (Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China)

  • Daochuan Ge

    (Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China)

  • Ying Bai

    (School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China)

  • Longlong Tao

    (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)

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.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4850-:d:853974
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/13/4850/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/13/4850/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    2. Borysiewicz, Mieczysław & Kowal, Karol & Potempski, Sławomir, 2015. "An application of the value tree analysis methodology within the integrated risk informed decision making for the nuclear facilities," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 113-119.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ferenc Bognár & Petra Benedek, 2022. "A Novel AHP-PRISM Risk Assessment Method—An Empirical Case Study in a Nuclear Power Plant," Sustainability, MDPI, vol. 14(17), pages 1-15, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kowal, Karol, 2022. "Lifetime reliability and availability simulation for the electrical system of HTTR coupled to the electricity-hydrogen cogeneration plant," Reliability Engineering and System Safety, Elsevier, vol. 223(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. Manjengwa, Evelyn Ruvimbo & Dorfling, Christie & Tadie, Margreth, 2023. "Development of a conceptual framework to evaluate factors that affect drivers for stakeholder engagement in mine waste management," Resources Policy, Elsevier, vol. 81(C).
    4. 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).
    5. Ferenc Bognár & Petra Benedek, 2022. "A Novel AHP-PRISM Risk Assessment Method—An Empirical Case Study in a Nuclear Power Plant," Sustainability, MDPI, vol. 14(17), pages 1-15, September.
    6. Martorell, P. & Martón, I. & Sánchez, A.I. & Martorell, S. & Sanchez-Saez, F. & Saiz, M., 2018. "Evaluation of risk impact of completion time changes combining PSA and DSA model insight and human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 97-107.
    7. Mazgaj, Piotr & Darnowski, Piotr & Kaszko, Aleksej & Hortal, Javier & Dusic, Milorad & Mendizábal, Rafael & Pelayo, Fernando, 2022. "Demonstration of the E-BEPU methodology for SL-LOCA in a Gen-III PWR reactor," Reliability Engineering and System Safety, Elsevier, vol. 226(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4850-:d:853974. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.