IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i2p771-d1320156.html
   My bibliography  Save this article

Sustainable Energy Safety Management Utilizing an Industry-Relative Assessment of Enterprise Equipment Technical Condition

Author

Listed:
  • Hanna Hrinchenko

    (Department of Automation, Metrology and Energy Efficient Technologies, Ukrainian Engineering Pedagogics Academy, Universitetskaya St., 16, 61013 Kharkiv, Ukraine)

  • Olha Prokopenko

    (Estonian Entrepreneurship University of Applied Sciences, 11415 Tallinn, Estonia
    Department of Applied Sciences, Academy of Applied Sciences Mazovia, 08-110 Siedlce, Poland
    Department of Business Economics and Administration, Sumy State Makarenko Pedagogical University, 40000 Sumy, Ukraine)

  • Nadiia Shmygol

    (Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, 00-661 Warsaw, Poland)

  • Viktor Koval

    (Department of Business and Tourism Management, Izmail State University of Humanities, 68601 Izmail, Ukraine)

  • Liliya Filipishyna

    (Department of Economics and Business Technologies, National Aviation University, Liubomyra Huzara Ave., 1, 03058 Kyiv, Ukraine)

  • Svitlana Palii

    (Department of Public Administration, Interregional Academy of Personnel Management, 03039 Kyiv, Ukraine)

  • Lucian-Ionel Cioca

    (Faculty of Engineering, Lucian Blaga University of Sibiu, 10 Victoriei Blv., 550024 Sibiu, Romania)

Abstract

The study considers approaches to ensuring energy management for the safe operation of facilities and their equipment and ways to improve it. It has been established that to ensure effective safety management of industrial enterprises, one of the critical areas is the technical diagnostics of power equipment during operation. An assessment of the actual technical condition of power equipment of VVER-1000 power units is proposed based on establishing the aging mechanisms and determining the relative evaluation coefficients for the characteristics of individual equipment elements. The results of the calculations allowed us to conclude that the obtained results correspond to the coefficients of relative assessment Ki of the technical characteristics of the power equipment that determine its degradation. Studies indicates that when assessing the state of power equipment, it is necessary to consider the presence and impact of the following operational factors that are not considered in the design calculations: loads, high levels of mechanical stress, fatigue damage, and metal defects, which primarily indicate the presence of degradation changes. To assess the technical condition of the equipment, considering the degree of mechanical wear, 17 technical characteristics were selected to determine the aging mechanisms by signs of degradation. A mathematical model of the dependence of the relative evaluation coefficient K on changes in the operating parameters is presented, and it is noted that the most significant influence on the value of the coefficient is the temperature of the coolant at the inlet ( K = 0.56). The developed approach makes it possible to improve the safety management system of power facilities by introducing the proposed model to assess the technical conditions of power equipment by defining the parameters in the overall safety management system.

Suggested Citation

  • Hanna Hrinchenko & Olha Prokopenko & Nadiia Shmygol & Viktor Koval & Liliya Filipishyna & Svitlana Palii & Lucian-Ionel Cioca, 2024. "Sustainable Energy Safety Management Utilizing an Industry-Relative Assessment of Enterprise Equipment Technical Condition," Sustainability, MDPI, vol. 16(2), pages 1-17, January.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:771-:d:1320156
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/2/771/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/2/771/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kim, Man Cheol, 2022. "Systematic approach and mathematical development for conditional core damage probabilities under station blackout of a nuclear power plant," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    2. Ye, Wuyi & Zhou, Yi & Chen, Pengzhan & Wu, Bin, 2024. "A simulation-based method for estimating systemic risk measures," European Journal of Operational Research, Elsevier, vol. 313(1), pages 312-324.
    3. Viktor Koval & Viktoriia Khaustova & Stella Lippolis & Olha Ilyash & Tetiana Salashenko & Piotr Olczak, 2023. "Fundamental Shifts in the EU’s Electric Power Sector Development: LMDI Decomposition Analysis," Energies, MDPI, vol. 16(14), pages 1-22, July.
    4. Dhaene, Jan & Laeven, Roger J.A. & Zhang, Yiying, 2022. "Systemic risk: Conditional distortion risk measures," Insurance: Mathematics and Economics, Elsevier, vol. 102(C), pages 126-145.
    5. Hong Xu & Baorui Zhang, 2022. "Diverse and Flexible Coping Strategy for Nuclear Safety: Opportunities and Challenges," Energies, MDPI, vol. 15(17), pages 1-21, August.
    6. Hanna Hrinchenko & Viktor Koval & Nadiia Shmygol & Oleksandr Sydorov & Oksana Tsimoshynska & Dominika Matuszewska, 2023. "Approaches to Sustainable Energy Management in Ensuring Safety of Power Equipment Operation," Energies, MDPI, vol. 16(18), pages 1-15, September.
    7. Lewis, Austin D. & Groth, Katrina M., 2023. "A comparison of DBN model performance in SIPPRA health monitoring based on different data stream discretization methods," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    8. Bruno Merk & Dzianis Litskevich & Anna Detkina & Omid Noori-kalkhoran & Lakshay Jain & Elfriede Derrer-Merk & Daliya Aflyatunova & Greg Cartland-Glover, 2023. "iMAGINE—Visions, Missions, and Steps for Successfully Delivering the Nuclear System of the 21st Century," Energies, MDPI, vol. 16(7), pages 1-16, March.
    9. Marja Ylönen & Terje Aven, 2023. "A new perspective for the integration of intelligence and risk management in a customs and border control context," Journal of Risk Research, Taylor & Francis Journals, vol. 26(4), pages 433-449, April.
    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. Dhulipala, Somayajulu L.N. & Shields, Michael D. & Chakroborty, Promit & Jiang, Wen & Spencer, Benjamin W. & Hales, Jason D. & Labouré, Vincent M. & Prince, Zachary M. & Bolisetti, Chandrakanth & Che, 2022. "Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    2. Ortega-Jiménez, P. & Sordo, M.A. & Suárez-Llorens, A., 2021. "Stochastic orders and multivariate measures of risk contagion," Insurance: Mathematics and Economics, Elsevier, vol. 96(C), pages 199-207.
    3. Mélanie Bourassa Forcier & Charles-Étienne Daniel & Arthur Oulaï & Natalia Torres Orozco & Olivia Toussaint-Martin & Mathieu Kiriakos, 2023. "Le déploiement de la cybersanté au Mali: considérations juridiques à partir de la perspective québécoise," CIRANO Working Papers 2023s-08, CIRANO.
    4. Dzintra Atstaja & Natalija Cudecka-Purina & Viktor Koval & Jekaterina Kuzmina & Janis Butkevics & Hanna Hrinchenko, 2024. "Waste-to-Energy in the Circular Economy Transition and Development of Resource-Efficient Business Models," Energies, MDPI, vol. 17(16), pages 1-23, August.
    5. Hirbod Assa & Peng Liu, 2024. "Factor risk measures," Papers 2404.08475, arXiv.org.
    6. Yigit Kazancoglu & Yalcin Berberoglu & Cisem Lafci & Oleksander Generalov & Denys Solohub & Viktor Koval, 2023. "Environmental Sustainability Implications and Economic Prosperity of Integrated Renewable Solutions in Urban Development," Energies, MDPI, vol. 16(24), pages 1-24, December.
    7. Hanna Hrinchenko & Viktor Koval & Nadiia Shmygol & Oleksandr Sydorov & Oksana Tsimoshynska & Dominika Matuszewska, 2023. "Approaches to Sustainable Energy Management in Ensuring Safety of Power Equipment Operation," Energies, MDPI, vol. 16(18), pages 1-15, September.
    8. Peng Liu & Andreas Tsanakas & Yunran Wei, 2024. "Risk sharing with Lambda value at risk under heterogeneous beliefs," Papers 2408.03147, arXiv.org, revised Sep 2024.
    9. Ye, Wuyi & Zhou, Yi & Chen, Pengzhan & Wu, Bin, 2024. "A simulation-based method for estimating systemic risk measures," European Journal of Operational Research, Elsevier, vol. 313(1), pages 312-324.
    10. Aleksy Leeuwenkamp & Wentao Hu, 2023. "New general dependence measures: construction, estimation and application to high-frequency stock returns," Papers 2309.00025, arXiv.org.
    11. Alexandra-Maria Chiper, 2023. "Financial Risk Optimisation Methods: A Survey," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 31, pages 155-168, June.
    12. Li, Jinzhu, 2022. "Asymptotic analysis of a dynamic systemic risk measure in a renewal risk model," Insurance: Mathematics and Economics, Elsevier, vol. 107(C), pages 38-56.
    13. Hamza, Mostafa & Joslin, Nick & Lawson, Glen & McSweeney, Luke & Liao, Huafei & Vivanco, Alaina & Diaconeasa, Mihai A., 2024. "Identifying and quantifying a complete set of full-power initiating events during early design stages of high-temperature gas-cooled reactors," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    14. Tong Pu & Yifei Zhang & Yiying Zhang, 2024. "On Joint Marginal Expected Shortfall and Associated Contribution Risk Measures," Papers 2405.07549, arXiv.org.
    15. Zang, Xin & Jiang, Fan & Xia, Chenxi & Yang, Jingping, 2024. "Random distortion risk measures," Insurance: Mathematics and Economics, Elsevier, vol. 116(C), pages 51-73.
    16. Bingzhen Geng & Yang Liu & Yimiao Zhao, 2024. "Value-at-Risk- and Expectile-based Systemic Risk Measures and Second-order Asymptotics: With Applications to Diversification," Papers 2404.18029, arXiv.org.
    17. Qiu, Ming & Jin, Zhuo & Li, Shuanming, 2023. "Optimal risk sharing and dividend strategies under default contagion: A semi-analytical approach," Insurance: Mathematics and Economics, Elsevier, vol. 113(C), pages 1-23.
    18. Bruno Merk & Anna Detkina & Omid Noori-kalkhoran & Lakshay Jain & Dzianis Litskevich & Gregory Cartland-Glover, 2023. "New Waste Management Options Created by iMAGINE through Direct Operation on Spent Nuclear Fuel Feed," Energies, MDPI, vol. 16(21), pages 1-17, November.
    19. Ortega-Jiménez, Patricia & Pellerey, Franco & Sordo, Miguel A. & Suárez-Llorens, Alfonso, 2024. "Probability equivalent level for CoVaR and VaR," Insurance: Mathematics and Economics, Elsevier, vol. 115(C), pages 22-35.
    20. Shushi, Tomer & Yao, Jing, 2020. "Multivariate risk measures based on conditional expectation and systemic risk for Exponential Dispersion Models," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 178-186.

    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:jsusta:v:16:y:2024:i:2:p:771-:d:1320156. 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.