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Challenges in the reliability and maintainability data collection for offshore wind turbines

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  • Hameed, Z.
  • Vatn, J.
  • Heggset, J.

Abstract

Wind energy is abundantly available both onshore and offshore. As a response to the present climate crisis focus on wind energy is increasing due to its renewable and environmentally friendly characteristics. Due to social and political reasons the trend has been shifted largely from onshore to offshore wind farms. Offshore wind energy production faces a wide range of new challenges in design, development, manufacturing, installation, and maintenance and operation. The need, objectives, method, benefits, and application of a proposed reliability and maintainability database are identified in this paper. In the offshore oil and gas industry the OREDA concept for data collection has been running for more than 25 years. Therefore it will be briefly described what is considered to be the state of the art in this industry when it comes to data collection. Potential challenges and issues pertaining to the reliability and maintainability data collection of offshore wind turbines are outlined and categorized. The architecture of the proposed database is illustrated. The main building blocks of the database are briefly described and their possible effects on the reliability and maintainability of offshore wind turbines are highlighted. It is expected that the realization of the proposed database will open a new vista of knowledge in understanding the real behavior of offshore wind turbines in the marine environment. Another expectation is the benefits it will bring to the technological areas ranging from design to operation.

Suggested Citation

  • Hameed, Z. & Vatn, J. & Heggset, J., 2011. "Challenges in the reliability and maintainability data collection for offshore wind turbines," Renewable Energy, Elsevier, vol. 36(8), pages 2154-2165.
    • Handle: RePEc:eee:renene:v:36:y:2011:i:8:p:2154-2165
    DOI: 10.1016/j.renene.2011.01.008
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    Cited by:

    1. Li, Shenghu, 2013. "Reliability models for DFIGs considering topology change under different control strategies and components data change under adverse operation environments," Renewable Energy, Elsevier, vol. 57(C), pages 144-150.
    2. Jin, Xin & Ju, Wenbin & Zhang, Zhaolong & Guo, Lianxin & Yang, Xiangang, 2016. "System safety analysis of large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1293-1307.
    3. Asad Rehman & Mohsin Ali Koondhar & Zafar Ali & Munawar Jamali & Ragab A. El-Sehiemy, 2023. "Critical Issues of Optimal Reactive Power Compensation Based on an HVAC Transmission System for an Offshore Wind Farm," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    4. Barabadi, Abbas & Tobias Gudmestad, Ove & Barabady, Javad, 2015. "RAMS data collection under Arctic conditions," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 92-99.
    5. Igba, Joel & Alemzadeh, Kazem & Durugbo, Christopher & Henningsen, Keld, 2015. "Performance assessment of wind turbine gearboxes using in-service data: Current approaches and future trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 144-159.
    6. Han Peng & Songyin Li & Linjian Shangguan & Yisa Fan & Hai Zhang, 2023. "Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research," Sustainability, MDPI, vol. 15(10), pages 1-35, May.
    7. Juan Izquierdo & Adolfo Crespo Márquez & Jone Uribetxebarria & Asier Erguido, 2019. "Framework for Managing Maintenance of Wind Farms Based on a Clustering Approach and Dynamic Opportunistic Maintenance," Energies, MDPI, vol. 12(11), pages 1-17, May.
    8. Ren, Zhengru & Verma, Amrit Shankar & Li, Ye & Teuwen, Julie J.E. & Jiang, Zhiyu, 2021. "Offshore wind turbine operations and maintenance: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    9. Joselin Herbert, G.M. & Iniyan, S. & Amutha, D., 2014. "A review of technical issues on the development of wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 619-641.
    10. Li, He & Teixeira, Angelo P. & Guedes Soares, C., 2020. "A two-stage Failure Mode and Effect Analysis of offshore wind turbines," Renewable Energy, Elsevier, vol. 162(C), pages 1438-1461.
    11. Akwasi F. Mensah & Leonardo Dueñas-Osorio, 2012. "A Closed-Form Technique for the Reliability and Risk Assessment of Wind Turbine Systems," Energies, MDPI, vol. 5(6), pages 1-17, June.
    12. Cevasco, D. & Koukoura, S. & Kolios, A.J., 2021. "Reliability, availability, maintainability data review for the identification of trends in offshore wind energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    13. Nguyen, Trinh Hoang & Prinz, Andreas & Friisø, Trond & Nossum, Rolf & Tyapin, Ilya, 2013. "A framework for data integration of offshore wind farms," Renewable Energy, Elsevier, vol. 60(C), pages 150-161.
    14. Shafiee, Mahmood, 2015. "Maintenance logistics organization for offshore wind energy: Current progress and future perspectives," Renewable Energy, Elsevier, vol. 77(C), pages 182-193.
    15. Romero, Antonio & Soua, Slim & Gan, Tat-Hean & Wang, Bin, 2018. "Condition monitoring of a wind turbine drive train based on its power dependant vibrations," Renewable Energy, Elsevier, vol. 123(C), pages 817-827.
    16. Perveen, Rehana & Kishor, Nand & Mohanty, Soumya R., 2014. "Off-shore wind farm development: Present status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 780-792.
    17. Shafiee, Mahmood & Sørensen, John Dalsgaard, 2019. "Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies," Reliability Engineering and System Safety, Elsevier, vol. 192(C).
    18. Govindan, Kannan, 2023. "Pathways to low carbon energy transition through multi criteria assessment of offshore wind energy barriers," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    19. Mohamed Benbouzid & Tarek Berghout & Nur Sarma & Siniša Djurović & Yueqi Wu & Xiandong Ma, 2021. "Intelligent Condition Monitoring of Wind Power Systems: State of the Art Review," Energies, MDPI, vol. 14(18), pages 1-33, September.
    20. Ashrafi, Maryam & Davoudpour, Hamid & Khodakarami, Vahid, 2015. "Risk assessment of wind turbines: Transition from pure mechanistic paradigm to modern complexity paradigm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 347-355.
    21. Bhardwaj, U. & Teixeira, A.P. & Soares, C. Guedes, 2019. "Reliability prediction of an offshore wind turbine gearbox," Renewable Energy, Elsevier, vol. 141(C), pages 693-706.
    22. Leimeister, Mareike & Kolios, Athanasios, 2018. "A review of reliability-based methods for risk analysis and their application in the offshore wind industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1065-1076.

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