IDEAS home Printed from https://ideas.repec.org/a/bla/wireae/v2y2013i5p548-570.html
   My bibliography  Save this article

Offshore wind turbine environment, loads, simulation, and design

Author

Listed:
  • Fabian Vorpahl
  • Holger Schwarze
  • Tim Fischer
  • Marc Seidel
  • Jason Jonkman

Abstract

No abstract is available for this item.

Suggested Citation

  • Fabian Vorpahl & Holger Schwarze & Tim Fischer & Marc Seidel & Jason Jonkman, 2013. "Offshore wind turbine environment, loads, simulation, and design," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 2(5), pages 548-570, September.
  • Handle: RePEc:bla:wireae:v:2:y:2013:i:5:p:548-570
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/wene.2013.2.issue-5
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Meng, Debiao & Yang, Shiyuan & Jesus, Abílio M.P. de & Zhu, Shun-Peng, 2023. "A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower," Renewable Energy, Elsevier, vol. 203(C), pages 407-420.
    2. Daniel Akinyele & Abraham Amole & Elijah Olabode & Ayobami Olusesi & Titus Ajewole, 2021. "Simulation and Analysis Approaches to Microgrid Systems Design: Emerging Trends and Sustainability Framework Application," Sustainability, MDPI, vol. 13(20), pages 1-26, October.
    3. Wilkie, David & Galasso, Carmine, 2020. "A probabilistic framework for offshore wind turbine loss assessment," Renewable Energy, Elsevier, vol. 147(P1), pages 1772-1783.
    4. De Tian & Jing Xia & Xiaoya Liu & Jingjing Hao & Yan Li & Peng Li, 2023. "Environmental Condition Boundary Design for Direct-Drive Permanent Magnet (DDPM) Wind Generators by Using Extreme Joint Probability Distribution," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    5. Siddiqui, Muhammad Omer & Feja, Paul Robert & Borowski, Philipp & Kyling, Hans & Nejad, Amir R. & Wenske, Jan, 2023. "Wind turbine nacelle testing: State-of-the-art and development trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    6. Pim van der Male & Marco Vergassola & Karel N. van Dalen, 2020. "Decoupled Modelling Approaches for Environmental Interactions with Monopile-Based Offshore Wind Support Structures," Energies, MDPI, vol. 13(19), pages 1-35, October.
    7. Yang Ni & Bin Peng & Jiayao Wang & Farshad Golnary & Wei Li, 2023. "A Short Review on the Time-Domain Numerical Simulations for Structural Responses in Horizontal-Axis Offshore Wind Turbines," Sustainability, MDPI, vol. 15(24), pages 1-19, December.
    8. Alberto Maria Avossa & Cristoforo Demartino & Pasquale Contestabile & Francesco Ricciardelli & Diego Vicinanza, 2017. "Some Results on the Vulnerability Assessment of HAWTs Subjected to Wind and Seismic Actions," Sustainability, MDPI, vol. 9(9), pages 1-16, August.
    9. Abel Arredondo-Galeana & Feargal Brennan, 2021. "Floating Offshore Vertical Axis Wind Turbines: Opportunities, Challenges and Way Forward," Energies, MDPI, vol. 14(23), pages 1-24, November.
    10. 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).
    11. Velarde, Joey & Kramhøft, Claus & Sørensen, John Dalsgaard, 2019. "Global sensitivity analysis of offshore wind turbine foundation fatigue loads," Renewable Energy, Elsevier, vol. 140(C), pages 177-189.
    12. Pablo Zambrana & Javier Fernandez-Quijano & J. Jesus Fernandez-Lozano & Pedro M. Mayorga Rubio & Alfonso J. Garcia-Cerezo, 2021. "Improving the Performance of Controllers for Wind Turbines on Semi-Submersible Offshore Platforms: Fuzzy Supervisor Control," Energies, MDPI, vol. 14(19), pages 1-17, September.
    13. Ziegler, Lisa & Voormeeren, Sven & Schafhirt, Sebastian & Muskulus, Michael, 2016. "Design clustering of offshore wind turbines using probabilistic fatigue load estimation," Renewable Energy, Elsevier, vol. 91(C), pages 425-433.
    14. Zhang, Xiaoling & Zhang, Kejia & Yang, Xiao & Fazeres-Ferradosa, Tiago & Zhu, Shun-Peng, 2023. "Transfer learning and direct probability integral method based reliability analysis for offshore wind turbine blades under multi-physics coupling," Renewable Energy, Elsevier, vol. 206(C), pages 552-565.

    More about this item

    Statistics

    Access and download statistics

    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:bla:wireae:v:2:y:2013:i:5:p:548-570. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=2041-8396 .

    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.