IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i9p2172-d1641268.html
   My bibliography  Save this article

Method of Quality Control of Nuclear Reactor Element Tightness to Improve Environmental Safety

Author

Listed:
  • Eduard Khomiak

    (Department of Mechatronics and Electrical Engineering, Ukraine National Aerospace University “Kharkiv Aviation Institute”, 17 Vadym Manko Street, Khar, 61070 Kharkiv, Ukraine)

  • Roman Trishch

    (Department of Mechatronics and Electrical Engineering, Ukraine National Aerospace University “Kharkiv Aviation Institute”, 17 Vadym Manko Street, Khar, 61070 Kharkiv, Ukraine)

  • Joanicjusz Nazarko

    (Faculty of Engineering Management, Bialystok University of Technology, Wiejska 45A, 15-351 Bialystok, Poland)

  • Miloslav Novotný

    (Faculty of Civil Engineering, Institute of Building Structures, Brno University of Technology, 602 00 Brno, Czech Republic)

  • Vladislavas Petraškevičius

    (Department of Economic Engineering, Faculty of Business Management, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania)

Abstract

Low carbon dioxide (CO 2 ) emissions make nuclear energy crucial in decarbonizing the economy. In this context, nuclear safety, and especially the operation of nuclear power plants, remains a critical issue. This article presents a new fractal cluster method of control that improves the quality of assessing fuel element cladding integrity, which is critical for nuclear and environmental safety. The proposed non-destructive testing method allows for detecting defects on the inner and outer cladding surfaces without removing the elements from the nuclear reactor, which ensures prompt response and prevention of radiation leakage. Studies have shown that the fractal dimension of the cladding surface, which varies from 2.1 to 2.5, indicates significant heterogeneity caused by mechanical damage or corrosion, which can affect its integrity. The density analysis of defect clusters allows quantifying their concentration per unit area, which is an important indicator for assessing the risks associated with the operation of nuclear facilities. The data obtained are used to assess the impact of defects on the vessel’s integrity and, in turn, on nuclear safety. The monitoring results are transmitted in real time to the operator’s automated workstation, allowing for timely decision making to prevent radioactive releases and improve environmental safety. The proposed method is a promising tool for ensuring reliable quality control of the fuel element cladding condition and improving nuclear and environmental safety. While the study is based on VVER-1000 reactor data, the flexibility of the proposed methodology suggests its potential applicability to other reactor types, opening avenues for broader implementation in diverse nuclear systems.

Suggested Citation

  • Eduard Khomiak & Roman Trishch & Joanicjusz Nazarko & Miloslav Novotný & Vladislavas Petraškevičius, 2025. "Method of Quality Control of Nuclear Reactor Element Tightness to Improve Environmental Safety," Energies, MDPI, vol. 18(9), pages 1-14, April.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:9:p:2172-:d:1641268
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/9/2172/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/9/2172/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Harleen Kaur Sandhu & Saran Srikanth Bodda & Abhinav Gupta, 2023. "A Future with Machine Learning: Review of Condition Assessment of Structures and Mechanical Systems in Nuclear Facilities," Energies, MDPI, vol. 16(6), pages 1-23, March.
    2. Ewa Chodakowska & Joanicjusz Nazarko, 2020. "Assessing the Performance of Sustainable Development Goals of EU Countries: Hard and Soft Data Integration," Energies, MDPI, vol. 13(13), pages 1-26, July.
    3. ., 2024. "Information and technology," Chapters, in: Teaching Agritourism, chapter 8, pages 114-129, Edward Elgar Publishing.
    4. Xin Liang & Peng Hou & Guannan Liu & Yi Xue & Jia Liu & Feng Gao & Zhizhen Zhang, 2024. "A Clustered Fractal Discrete Fracture Network Model For Fractured Coal," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 32(02), pages 1-16.
    5. Guo, Peng & Chen, Si & Chu, Jingchun & Infield, David, 2020. "Wind direction fluctuation analysis for wind turbines," Renewable Energy, Elsevier, vol. 162(C), pages 1026-1035.
    Full references (including those not matched with items on IDEAS)

    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. Joanicjusz Nazarko & Ewa Chodakowska & Łukasz Nazarko, 2022. "Evaluating the Transition of the European Union Member States towards a Circular Economy," Energies, MDPI, vol. 15(11), pages 1-24, May.
    2. Ewa Chodakowska & Joanicjusz Nazarko & Łukasz Nazarko, 2021. "ARIMA Models in Electrical Load Forecasting and Their Robustness to Noise," Energies, MDPI, vol. 14(23), pages 1-22, November.
    3. Mariusz Zieliński & Izabela Jonek-Kowalska, 2021. "Does CSR Affect the Profitability and Valuation of Energy Companies? An Example from Poland," Energies, MDPI, vol. 14(12), pages 1-24, June.
    4. Zare Ahmadabadi, Habib & Zamzam, Fatemeh & Emrouznejad, Ali & Naser Sadrabadi, Alireza & Morovati Sharifabadi, Ali, 2024. "Measuring sustainable performance of OECD countries considering CO2 emissions: A new optimistic-pessimistic distance friction Minimization Model," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
    5. Amira Elkodama & Amr Ismaiel & A. Abdellatif & S. Shaaban & Shigeo Yoshida & Mostafa A. Rushdi, 2023. "Control Methods for Horizontal Axis Wind Turbines (HAWT): State-of-the-Art Review," Energies, MDPI, vol. 16(17), pages 1-32, September.
    6. Habib Zare Ahmadabadi & Fatemeh Zamzam & Ali Emrouznejad & Alireza Naser Sadrabadi & Ali Morovati Sharifabadi, 2024. "A modified distance friction minimization model with optimistic–pessimistic target orientation for OECD sustainable performance measurement," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 23113-23149, September.
    7. Ahmed, Ijaz & Rehan, Muhammad & Basit, Abdul & Malik, Saddam Hussain & Alvi, Um-E-Habiba & Hong, Keum-Shik, 2022. "Multi-area economic emission dispatch for large-scale multi-fueled power plants contemplating inter-connected grid tie-lines power flow limitations," Energy, Elsevier, vol. 261(PB).
    8. Zhao, Shuang & Wang, Jianwen & Han, Yuxia & Liu, Zhen, 2022. "Research on the rotor speed and aerodynamic characteristics of a dynamic yawing wind turbine with a short-time uniform wind direction variation," Energy, Elsevier, vol. 249(C).
    9. Sang Heon Chae & Chul Uoong Kang & Eel-Hwan Kim, 2020. "Field Test of Wind Power Output Fluctuation Control Using an Energy Storage System on Jeju Island," Energies, MDPI, vol. 13(21), pages 1-16, November.
    10. Jun-Der Leu & Wen-Hsien Tsai & Mei-Niang Fan & Sophia Chuang, 2020. "Benchmarking Sustainable Manufacturing: A DEA-Based Method and Application," Energies, MDPI, vol. 13(22), pages 1-21, November.
    11. Brodny, Jarosław & Tutak, Magdalena, 2025. "Decade of Progress: A multidimensional measurement and assessment of energy sustainability in EU − 27 nations," Applied Energy, Elsevier, vol. 382(C).
    12. Victor Goman & Vladimir Prakht & Vadim Kazakbaev & Vladimir Dmitrievskii, 2021. "Comparative Study of Energy Consumption and CO 2 Emissions of Variable-Speed Electric Drives with Induction and Synchronous Reluctance Motors in Pump Units," Mathematics, MDPI, vol. 9(21), pages 1-16, October.
    13. Talat S. Genc & Stephen Kosempel, 2023. "Energy Transition and the Economy: A Review Article," Energies, MDPI, vol. 16(7), pages 1-26, March.
    14. Marzouk, Osama A., 2025. "Wind Speed Weibull Model Identification in Oman, and Computed Normalized Annual Energy Production (NAEP) From Wind Turbines Based on Data From Weather Stations," OSF Preprints 8jvcn_v1, Center for Open Science.
    15. Paxis Marques João Roque & Shyama Pada Chowdhury & Zhongjie Huan, 2021. "Performance Enhancement of Proposed Namaacha Wind Farm by Minimising Losses Due to the Wake Effect: A Mozambican Case Study," Energies, MDPI, vol. 14(14), pages 1-22, July.
    16. Zhiqiang Peng & Jichong Lei & Zining Ni & Tao Yu & Jinsen Xie & Jun Hong & Hong Hu, 2024. "Research on Data-Driven Methods for Solving High-Dimensional Neutron Transport Equations," Energies, MDPI, vol. 17(16), pages 1-11, August.
    17. Sungsig Bang, 2020. "Performance Evaluation of Energy Research Projects Using DEA Super-Efficiency," Energies, MDPI, vol. 13(20), pages 1-19, October.
    18. Ionescu, Romeo-Victor & Zlati, Monica Laura & Antohi, Valentin-Marian & Susanu, Irina Olimpia & Cristache, Nicoleta, 2022. "A new approach on renewable energy as a support for regional economic development among the European Union," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    19. Sławomira Hajduk & Dorota Jelonek, 2021. "A Decision-Making Approach Based on TOPSIS Method for Ranking Smart Cities in the Context of Urban Energy," Energies, MDPI, vol. 14(9), pages 1-23, May.

    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:18:y:2025:i:9:p:2172-:d:1641268. 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.