IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v157y2017icp139-151.html
   My bibliography  Save this article

An empirical classification-based framework for the safety criticality assessment of energy production systems, in presence of inconsistent data

Author

Listed:
  • Wang, Tai-Ran
  • Mousseau, Vincent
  • Pedroni, Nicola
  • Zio, Enrico

Abstract

The technical problem addressed in the present paper is the assessment of the safety criticality of energy production systems. An empirical classification model is developed, based on the Majority Rule Sorting method, to evaluate the class of criticality of the plant/system of interest, with respect to safety. The model is built on the basis of a (limited-size) set of data representing the characteristics of a number of plants and their corresponding criticality classes, as assigned by experts.

Suggested Citation

  • Wang, Tai-Ran & Mousseau, Vincent & Pedroni, Nicola & Zio, Enrico, 2017. "An empirical classification-based framework for the safety criticality assessment of energy production systems, in presence of inconsistent data," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 139-151.
    • Handle: RePEc:eee:reensy:v:157:y:2017:i:c:p:139-151
    DOI: 10.1016/j.ress.2016.08.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S095183201630415X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2016.08.021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Huang, J.P. & Poh, K.L. & Ang, B.W., 1995. "Decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 20(9), pages 843-855.
    2. Wang, Q. & Poh, K.L., 2014. "A survey of integrated decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 77(C), pages 691-702.
    3. Milazzo, Maria Francesca & Aven, Terje, 2012. "An extended risk assessment approach for chemical plants applied to a study related to pipe ruptures," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 183-192.
    4. Aven, Terje, 2010. "Some reflections on uncertainty analysis and management," Reliability Engineering and System Safety, Elsevier, vol. 95(3), pages 195-201.
    5. Aven, T. & Flage, R., 2009. "Use of decision criteria based on expected values to support decision-making in a production assurance and safety setting," Reliability Engineering and System Safety, Elsevier, vol. 94(9), pages 1491-1498.
    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. Marco Cinelli & Matteo Spada & Miłosz Kadziński & Grzegorz Miebs & Peter Burgherr, 2019. "Advancing Hazard Assessment of Energy Accidents in the Natural Gas Sector with Rough Set Theory and Decision Rules," Energies, MDPI, vol. 12(21), pages 1-17, November.
    2. Ahmed, Umair & Carpitella, Silvia & Certa, Antonella, 2021. "An integrated methodological approach for optimising complex systems subjected to predictive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

    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. Tai–ran Wang & Vincent Mousseau & Nicola Pedroni & Enrico Zio, 2015. "Assessing the Performance of a Classification‐Based Vulnerability Analysis Model," Risk Analysis, John Wiley & Sons, vol. 35(9), pages 1674-1689, September.
    2. Wang, Tai-Ran & Pedroni, Nicola & Zio, Enrico, 2016. "Identification of protective actions to reduce the vulnerability of safety-critical systems to malevolent acts: A sensitivity-based decision-making approach," Reliability Engineering and System Safety, Elsevier, vol. 147(C), pages 9-18.
    3. T. R. Wang & N. Pedroni & E. Zio & V. Mousseau, 2020. "Identification of Protective Actions to Reduce the Vulnerability of Safety‐Critical Systems to Malevolent Intentional Acts: An Optimization‐Based Decision‐Making Approach," Risk Analysis, John Wiley & Sons, vol. 40(3), pages 565-587, March.
    4. Rios, R. & Duarte, S., 2021. "Selection of ideal sites for the development of large-scale solar photovoltaic projects through Analytical Hierarchical Process – Geographic information systems (AHP-GIS) in Peru," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    5. Ibsen Chivatá Cárdenas & Saad S. H. Al‐Jibouri & Johannes I. M. Halman & Wim van de Linde & Frank Kaalberg, 2014. "Using Prior Risk‐Related Knowledge to Support Risk Management Decisions: Lessons Learnt from a Tunneling Project," Risk Analysis, John Wiley & Sons, vol. 34(10), pages 1923-1943, October.
    6. Haddad, Brahim & Liazid, Abdelkrim & Ferreira, Paula, 2017. "A multi-criteria approach to rank renewables for the Algerian electricity system," Renewable Energy, Elsevier, vol. 107(C), pages 462-472.
    7. Bai, Yang & Meng, Jie & Meng, Fanyi & Fang, Guochang, 2020. "Stochastic analysis of a shale gas investment strategy for coping with production uncertainties," Energy Policy, Elsevier, vol. 144(C).
    8. Pohekar, S.D. & Ramachandran, M., 2006. "Multi-criteria evaluation of cooking devices with special reference to utility of parabolic solar cooker (PSC) in India," Energy, Elsevier, vol. 31(8), pages 1215-1227.
    9. Leezna Saleem & Imran Ahmad Siddiqui & Intikhab Ulfat, 2021. "The prioritization of renewable energy technologies in Pakistan: An urgent need," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2021(1), pages 81-103.
    10. Ibsen Chivatá Cárdenas & Saad S.H. Al‐Jibouri & Johannes I.M. Halman & Frits A. van Tol, 2014. "Modeling Risk‐Related Knowledge in Tunneling Projects," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 323-339, February.
    11. John Michael Humphries Choptiany & Ronald Pelot, 2014. "A Multicriteria Decision Analysis Model and Risk Assessment Framework for Carbon Capture and Storage," Risk Analysis, John Wiley & Sons, vol. 34(9), pages 1720-1737, September.
    12. Chia-Nan Wang & Van Thanh Nguyen & Hoang Tuyet Nhi Thai & Duy Hung Duong, 2018. "Multi-Criteria Decision Making (MCDM) Approaches for Solar Power Plant Location Selection in Viet Nam," Energies, MDPI, vol. 11(6), pages 1-27, June.
    13. Baležentis, Tomas & Streimikiene, Dalia, 2017. "Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation," Applied Energy, Elsevier, vol. 185(P1), pages 862-871.
    14. Bing Wu & Huibin Tian & Xinping Yan & C. Guedes Soares, 2020. "A probabilistic consequence estimation model for collision accidents in the downstream of Yangtze River using Bayesian Networks," Journal of Risk and Reliability, , vol. 234(2), pages 422-436, April.
    15. Emilio Palazzi & Fabio Currò & Bruno Fabiano, 2013. "Accidental Continuous Releases from Coal Processing in Semi-Confined Environment," Energies, MDPI, vol. 6(10), pages 1-20, September.
    16. Karatas, Mumtaz & Sulukan, Egemen & Karacan, Ilknur, 2018. "Assessment of Turkey's energy management performance via a hybrid multi-criteria decision-making methodology," Energy, Elsevier, vol. 153(C), pages 890-912.
    17. Papapostolou, Aikaterini & Karakosta, Charikleia & Nikas, Alexandros & Psarras, John, 2017. "Exploring opportunities and risks for RES-E deployment under Cooperation Mechanisms between EU and Western Balkans: A multi-criteria assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 519-530.
    18. Dagoumas, Athanasios S. & Koltsaklis, Nikolaos E., 2019. "Review of models for integrating renewable energy in the generation expansion planning," Applied Energy, Elsevier, vol. 242(C), pages 1573-1587.
    19. Baker, Erin & Keisler, Jeffrey M., 2011. "Cellulosic biofuels: Expert views on prospects for advancement," Energy, Elsevier, vol. 36(1), pages 595-605.
    20. Sánchez-Lozano, J.M. & García-Cascales, M.S. & Lamata, M.T., 2014. "Identification and selection of potential sites for onshore wind farms development in Region of Murcia, Spain," Energy, Elsevier, vol. 73(C), pages 311-324.

    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:eee:reensy:v:157:y:2017:i:c:p:139-151. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.