IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i14p2653-d247301.html
   My bibliography  Save this article

Risk Assessment and Value of Action Analysis for Icing Conditions of Wind Turbines Close to Highways

Author

Listed:
  • Sima Rastayesh

    (Department of Civil Engineering, Aalborg University, 9220 Aalborg, Denmark)

  • Lijia Long

    (Department of Civil Engineering, Aalborg University, 9220 Aalborg, Denmark
    Department 7: Safety of Structures, Federal Institute of Materials Research and Testing, 12205 Berlin Germany)

  • John Dalsgaard Sørensen

    (Department of Civil Engineering, Aalborg University, 9220 Aalborg, Denmark)

  • Sebastian Thöns

    (Department 7: Safety of Structures, Federal Institute of Materials Research and Testing, 12205 Berlin Germany
    Technical University of Denmark, 2800 Lyngby, Denmark)

Abstract

The paper presents research results from the Marie Sk?odowska-Curie Innovative Training Network INFRASTAR in the field of reliability approaches for decision-making for wind turbines and bridges. This paper addresses the application of Bayesian decision analysis for installation of heating systems in wind turbine blades in cases where an ice detection system is already installed in order to allow wind turbines to be placed close to highways. Generally, application of ice detection and heating systems for wind turbines is very relevant in cases where the wind turbines are planned to be placed close to urban areas and highways, where risks need to be considered due to icing events, which may lead to consequences including human fatality, functional disruptions, and/or economic losses. The risk of people being killed in a car passing on highways near a wind turbine due to blades parts or ice pieces being thrown away in cases of over-icing is considered in this paper. The probability of being killed per kilometer and per year is considered for three cases: blade parts thrown away as a result of a partial or total failure of a blade, ice thrown away in two cases, i.e., of stopped wind turbines and of wind turbines in operation. Risks due to blade parts being thrown away cannot be avoided, since low strengths of material, maintenance or manufacturing errors, mechanical or electrical failures may result in failure of a blade or blade part. The blade (parts) thrown away from wind turbines in operation imply possible consequences/fatalities for people near the wind turbines, including in areas close to highways. Similar consequences are relevant for ice being thrown away from wind turbine blades during icing situations. In this paper, we examine the question as to whether it is valuable to put a heating system on the blades in addition to ice detection systems. This is especially interesting in countries with limited space for placing wind turbines; in addition, it is considered if higher power production can be obtained due to less downtime if a heating system is installed.

Suggested Citation

  • Sima Rastayesh & Lijia Long & John Dalsgaard Sørensen & Sebastian Thöns, 2019. "Risk Assessment and Value of Action Analysis for Icing Conditions of Wind Turbines Close to Highways," Energies, MDPI, vol. 12(14), pages 1-15, July.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:14:p:2653-:d:247301
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/14/2653/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/14/2653/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fakorede, Oloufemi & Feger, Zoé & Ibrahim, Hussein & Ilinca, Adrian & Perron, Jean & Masson, Christian, 2016. "Ice protection systems for wind turbines in cold climate: characteristics, comparisons and analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 662-675.
    2. Memarzadeh, Milad & Pozzi, Matteo, 2016. "Value of information in sequential decision making: Component inspection, permanent monitoring and system-level scheduling," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 137-151.
    3. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    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. Albara M. Mustafa & Abbas Barabadi & Tore Markeset & Masoud Naseri, 2021. "An overall performance index for wind farms: a case study in Norway Arctic region," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(5), pages 938-950, October.
    2. Zhijin Zhang & Hang Zhang & Xu Zhang & Qin Hu & Xingliang Jiang, 2024. "A Review of Wind Turbine Icing and Anti/De-Icing Technologies," Energies, MDPI, vol. 17(12), pages 1-34, June.
    3. Gürdal Ertek & Lakshmi Kailas, 2021. "Analyzing a Decade of Wind Turbine Accident News with Topic Modeling," Sustainability, MDPI, vol. 13(22), pages 1-34, November.
    4. Dimitris Al. Katsaprakakis & Nikos Papadakis & Ioannis Ntintakis, 2021. "A Comprehensive Analysis of Wind Turbine Blade Damage," Energies, MDPI, vol. 14(18), pages 1-31, September.
    5. Sima Rastayesh & Sajjad Bahrebar & Frede Blaabjerg & Dao Zhou & Huai Wang & John Dalsgaard Sørensen, 2019. "A System Engineering Approach Using FMEA and Bayesian Network for Risk Analysis—A Case Study," Sustainability, MDPI, vol. 12(1), pages 1-18, December.
    6. Ivan Kabardin & Sergey Dvoynishnikov & Maxim Gordienko & Sergey Kakaulin & Vadim Ledovsky & Grigoriy Gusev & Vladislav Zuev & Valery Okulov, 2021. "Optical Methods for Measuring Icing of Wind Turbine Blades," Energies, MDPI, vol. 14(20), pages 1-14, October.
    7. Valery Okulov & Ivan Kabardin & Dmitry Mukhin & Konstantin Stepanov & Nastasia Okulova, 2021. "Physical De-Icing Techniques for Wind Turbine Blades," Energies, MDPI, vol. 14(20), pages 1-16, October.

    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. Chen, Wanqiu & Qiu, Yingning & Feng, Yanhui & Li, Ye & Kusiak, Andrew, 2021. "Diagnosis of wind turbine faults with transfer learning algorithms," Renewable Energy, Elsevier, vol. 163(C), pages 2053-2067.
    2. Madi, Ezieddin & Pope, Kevin & Huang, Weimin & Iqbal, Tariq, 2019. "A review of integrating ice detection and mitigation for wind turbine blades," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 269-281.
    3. Albara M. Mustafa & Abbas Barabadi, 2022. "Criteria-Based Fuzzy Logic Risk Analysis of Wind Farms Operation in Cold Climate Regions," Energies, MDPI, vol. 15(4), pages 1-17, February.
    4. Michele Compare & Paolo Marelli & Piero Baraldi & Enrico Zio, 2018. "A Markov decision process framework for optimal operation of monitored multi-state systems," Journal of Risk and Reliability, , vol. 232(6), pages 677-689, December.
    5. Jonek-Kowalska, Izabela & Nawrocki, Tomasz L., 2019. "Holistic fuzzy evaluation of operational risk in polish mining enterprises in a long-term and sectoral research perspective," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    6. Carreras Guzman, Nelson H. & Zhang, Jin & Xie, Jing & Glomsrud, Jon Arne, 2021. "A Comparative Study of STPA-Extension and the UFoI-E Method for Safety and Security Co-analysis," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    7. Hao, Zhaojun & Di Maio, Francesco & Zio, Enrico, 2023. "A sequential decision problem formulation and deep reinforcement learning solution of the optimization of O&M of cyber-physical energy systems (CPESs) for reliable and safe power production and supply," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    8. Read, G.J.M. & Naweed, A. & Salmon, P.M., 2019. "Complexity on the rails: A systems-based approach to understanding safety management in rail transport," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 352-365.
    9. Wang, Wei & Cova, Gregorio & Zio, Enrico, 2022. "A clustering-based framework for searching vulnerabilities in the operation dynamics of Cyber-Physical Energy Systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    10. Natalia Lubsanova, 2021. "Regions of the zone of influence of the Great Silk Road and the Tea Road: strategic directions for the development of economic potential," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 22(2), pages 102-112, December.
    11. Bismut, Elizabeth & Straub, Daniel, 2021. "Optimal adaptive inspection and maintenance planning for deteriorating structural systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    12. Shiyu Chen & Wei Wang & Enrico Zio, 2021. "A Simulation-Based Multi-Objective Optimization Framework for the Production Planning in Energy Supply Chains," Energies, MDPI, vol. 14(9), pages 1-27, May.
    13. Feng, Jian Rui & Yu, Guanghui & Zhao, Mengke & Zhang, Jiaqing & Lu, Shouxiang, 2022. "Dynamic risk assessment framework for industrial systems based on accidents chain theory: The case study of fire and explosion risk of UHV converter transformer," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    14. Moradi, Ramin & Cofre-Martel, Sergio & Lopez Droguett, Enrique & Modarres, Mohammad & Groth, Katrina M., 2022. "Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    15. Swenson, Lauren & Gao, Linyue & Hong, Jiarong & Shen, Lian, 2022. "An efficacious model for predicting icing-induced energy loss for wind turbines," Applied Energy, Elsevier, vol. 305(C).
    16. Wesley J. Marrero & Mariel S. Lavieri & Jeremy B. Sussman, 2021. "Optimal cholesterol treatment plans and genetic testing strategies for cardiovascular diseases," Health Care Management Science, Springer, vol. 24(1), pages 1-25, March.
    17. Lin, Chaochao & Song, Junho & Pozzi, Matteo, 2022. "Optimal inspection of binary systems via Value of Information analysis," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    18. Terje Aven, 2019. "The Call for a Shift from Risk to Resilience: What Does it Mean?," Risk Analysis, John Wiley & Sons, vol. 39(6), pages 1196-1203, June.
    19. Pozzi, Matteo & Malings, Carl & Minca, Andreea, 2020. "Information avoidance and overvaluation under epistemic constraints: Principles and implications for regulatory policies," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    20. Nguyen, Son & Shu-Ling Chen, Peggy & Du, Yuquan, 2022. "Risk assessment of maritime container shipping blockchain-integrated systems: An analysis of multi-event scenarios," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(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:12:y:2019:i:14:p:2653-:d:247301. 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.