IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i9p3380-d809499.html
   My bibliography  Save this article

A Straightforward Approach to Site-Wide Assessment of Wind Turbine Tower Lifetime Extension Potential

Author

Listed:
  • Nicola Grieve

    (Wind & Marine Centre for Doctoral Training, University of Strathclyde, Glasgow G1 1XQ, UK
    These authors contributed equally to this work.)

  • Abbas Mehrad Kazemi Amiri

    (Wind Energy & Control Centre, EEE, Faculty of Engineering, University of Strathclyde, Glasgow G1 1XW, UK
    These authors contributed equally to this work.)

  • William E. Leithead

    (Wind Energy & Control Centre, EEE, Faculty of Engineering, University of Strathclyde, Glasgow G1 1XW, UK)

Abstract

This contribution presents a novel methodology to evaluate the lifetime extension potential of wind turbines—taking towers as the key component that preserves onshore turbines’ structural integrity—as a consequence of the difference between design and site-specific loads. Specifically, attention is drawn to the site-specific wind direction distribution, which provides an additional source of lifetime extension potential. For this purpose, variants of closed-form solutions (based on the tower section’s normal stress) are developed to enable fatigue damage accumulation due to fore-aft and side-to-side bending moments at any point on the tower circumference without the need for further information on tower section geometry or material properties. Based on the degree of data availability, different scenarios are defined to estimate lifetime extension potential from the accurate tower’s normal stress and approximations using resultant bending moment, fore-aft bending moment, and finally, wind rose data only. The methodology is applied to a wind farm case study using the actual SCADA data with a partially validated turbine’s aeroelastic model to obtain operational loads. The results indicate that this quick and fairly accurate approach can be used as an initial stage in identifying wind turbines across large farms, which have the largest lifetime extension potential.

Suggested Citation

  • Nicola Grieve & Abbas Mehrad Kazemi Amiri & William E. Leithead, 2022. "A Straightforward Approach to Site-Wide Assessment of Wind Turbine Tower Lifetime Extension Potential," Energies, MDPI, vol. 15(9), pages 1-30, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3380-:d:809499
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/9/3380/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/9/3380/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rubert, T. & McMillan, D. & Niewczas, P., 2018. "A decision support tool to assist with lifetime extension of wind turbines," Renewable Energy, Elsevier, vol. 120(C), pages 423-433.
    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. Rubert, T. & Zorzi, G. & Fusiek, G. & Niewczas, P. & McMillan, D. & McAlorum, J. & Perry, M., 2019. "Wind turbine lifetime extension decision-making based on structural health monitoring," Renewable Energy, Elsevier, vol. 143(C), pages 611-621.
    2. Brooks, Sam & Mahmood, Minhal & Roy, Rajkumar & Manolesos, Marinos & Salonitis, Konstantinos, 2023. "Self-reconfiguration simulations of turbines to reduce uneven farm degradation," Renewable Energy, Elsevier, vol. 206(C), pages 1301-1314.
    3. Jannie Sønderkær Nielsen & Lindsay Miller-Branovacki & Rupp Carriveau, 2021. "Probabilistic and Risk-Informed Life Extension Assessment of Wind Turbine Structural Components," Energies, MDPI, vol. 14(4), pages 1-16, February.
    4. Luis M. Abadie & Nestor Goicoechea, 2021. "Old Wind Farm Life Extension vs. Full Repowering: A Review of Economic Issues and a Stochastic Application for Spain," Energies, MDPI, vol. 14(12), pages 1-24, June.
    5. Benjamin Pakenham & Anna Ermakova & Ali Mehmanparast, 2021. "A Review of Life Extension Strategies for Offshore Wind Farms Using Techno-Economic Assessments," Energies, MDPI, vol. 14(7), pages 1-23, March.
    6. Dominik McInnis & Massimiliano Capezzali, 2020. "Managing Wind Turbine Generators with a Profit Maximized Approach," Sustainability, MDPI, vol. 12(17), pages 1-16, September.
    7. Wilkie, David & Galasso, Carmine, 2020. "Impact of climate-change scenarios on offshore wind turbine structural performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    8. Weldon Carlos Elias Teixeira & Miguel Ángel Sanz-Bobi & Roberto Célio Limão de Oliveira, 2022. "Applying Intelligent Multi-Agents to Reduce False Alarms in Wind Turbine Monitoring Systems," Energies, MDPI, vol. 15(19), pages 1-28, October.
    9. Leite, Gustavo de Novaes Pires & Weschenfelder, Franciele & Farias, João Gabriel de & Kamal Ahmad, Muhammad, 2022. "Economic and sensitivity analysis on wind farm end-of-life strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    10. de Simón-Martín, Miguel & Ciria-Garcés, Tomás & Rosales-Asensio, Enrique & González-Martínez, Alberto, 2022. "Multi-dimensional barrier identification for wind farm repowering in Spain through an expert judgment approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    11. Szumilas-Kowalczyk, H. & Pevzner, N. & Giedych, R., 2020. "Long-term visual impacts of aging infrastructure: Challenges of decommissioning wind power infrastructure and a survey of alternative strategies," Renewable Energy, Elsevier, vol. 150(C), pages 550-560.
    12. Sergen Tumse & Mehmet Bilgili & Alper Yildirim & Besir Sahin, 2024. "Comparative Analysis of Global Onshore and Offshore Wind Energy Characteristics and Potentials," Sustainability, MDPI, vol. 16(15), pages 1-28, August.
    13. Asadi, Meysam & Pourhossein, Kazem, 2021. "Wind farm site selection considering turbulence intensity," Energy, Elsevier, vol. 236(C).
    14. Yeter, B. & Garbatov, Y. & Guedes Soares, C., 2022. "Life-extension classification of offshore wind assets using unsupervised machine learning," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    15. Doukas, H. & Arsenopoulos, A. & Lazoglou, M. & Nikas, A. & Flamos, A., 2022. "Wind repowering: Unveiling a hidden asset," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    16. 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.
    17. Reinhard Madlener & Barbara Glensk & Lukas Gläsel, 2019. "Optimal Timing of Onshore Wind Repowering in Germany under Policy Regime Changes: A Real Options Analysis," Energies, MDPI, vol. 12(24), pages 1-33, December.
    18. Mahmood Shafiee, 2024. "Extending the Lifetime of Offshore Wind Turbines: Challenges and Opportunities," Energies, MDPI, vol. 17(16), pages 1-33, August.
    19. Qiang Deng & Michal Slaný & Huani Zhang & Xuefan Gu & Yongfei Li & Weichao Du & Gang Chen, 2021. "Synthesis of Alkyl Aliphatic Hydrazine and Application in Crude Oil as Flow Improvers," Energies, MDPI, vol. 14(15), pages 1-11, August.

    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:15:y:2022:i:9:p:3380-:d:809499. 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.