IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v136y2014icp817-826.html
   My bibliography  Save this article

Magnetically geared wind generator technologies: Opportunities and challenges

Author

Listed:
  • Wang, Rong-Jie
  • Gerber, Stiaan

Abstract

In the past decade, wind power generation has taken center stage in renewable energy development. Currently, the mainstream power-train of a wind turbine system consists of mechanically geared doubly-fed induction generator with a partially rated converter. However, gearbox failures account for the largest amount of downtime, maintenance and loss of power generation. Recently, magnetic gears emerged as an alternative technology to mechanical gears as they offer distinct advantages, such as high torque density, reduced acoustic noise and vibration, lower maintenance and improved reliability, inherent overload protection and contact-less power transfer. In this paper, magnetic gear technologies for wind power applications are investigated in some detail. The distinct merits of magnetic gear technologies are explored together with the challenges associated with this technology for wind energy applications.

Suggested Citation

  • Wang, Rong-Jie & Gerber, Stiaan, 2014. "Magnetically geared wind generator technologies: Opportunities and challenges," Applied Energy, Elsevier, vol. 136(C), pages 817-826.
  • Handle: RePEc:eee:appene:v:136:y:2014:i:c:p:817-826
    DOI: 10.1016/j.apenergy.2014.07.079
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261914007624
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2014.07.079?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. Joselin Herbert, G.M. & Iniyan, S. & Sreevalsan, E. & Rajapandian, S., 2007. "A review of wind energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1117-1145, August.
    2. Ackermann, Thomas & Söder, Lennart, 2000. "Wind energy technology and current status: a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 4(4), pages 315-374, December.
    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. McKenna, R. & Ostman v.d. Leye, P. & Fichtner, W., 2016. "Key challenges and prospects for large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1212-1221.
    2. Yu, Jin & Song, Yurun & Zhang, Huasen & Dong, Xiaohan, 2022. "Novel design of compound coupled hydro-mechanical transmission on heavy-duty vehicle for energy recycling," Energy, Elsevier, vol. 239(PD).
    3. Liu, W.Y., 2017. "A review on wind turbine noise mechanism and de-noising techniques," Renewable Energy, Elsevier, vol. 108(C), pages 311-320.
    4. Manh-Dung Nguyen & Woo-Sung Jung & Duy-Tinh Hoang & Yong-Joo Kim & Kyung-Hun Shin & Jang-Young Choi, 2024. "Fast Analysis and Optimization of a Magnetic Gear Based on Subdomain Modeling," Mathematics, MDPI, vol. 12(18), pages 1-18, September.
    5. Artigao, Estefania & Martín-Martínez, Sergio & Honrubia-Escribano, Andrés & Gómez-Lázaro, Emilio, 2018. "Wind turbine reliability: A comprehensive review towards effective condition monitoring development," Applied Energy, Elsevier, vol. 228(C), pages 1569-1583.
    6. Han, Nuomin & Zhao, Dan & Schluter, Jorg U. & Goh, Ernest Seach & Zhao, He & Jin, Xiao, 2016. "Performance evaluation of 3D printed miniature electromagnetic energy harvesters driven by air flow," Applied Energy, Elsevier, vol. 178(C), pages 672-680.
    7. Pushman Tlali & Rong-Jie Wang, 2022. "Prospect of PM Vernier Machine for Wind Power Application," Energies, MDPI, vol. 15(13), pages 1-26, July.

    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. Li, Gong & Shi, Jing, 2012. "Applications of Bayesian methods in wind energy conversion systems," Renewable Energy, Elsevier, vol. 43(C), pages 1-8.
    2. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    3. Meratizaman, Mousa & Nateqi, Mojtaba, 2021. "Feasibility study of new generation of wind turbine (INVELOX), is it competitive with the Conventional Horizontal Axis Wind Turbine?," Energy, Elsevier, vol. 217(C).
    4. Mohd Zin, Abdullah Asuhaimi B. & Pesaran H.A., Mahmoud & Khairuddin, Azhar B. & Jahanshaloo, Leila & Shariati, Omid, 2013. "An overview on doubly fed induction generators′ controls and contributions to wind based electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 692-708.
    5. Hossain, Md Maruf & Ali, Mohd. Hasan, 2015. "Future research directions for the wind turbine generator system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 481-489.
    6. Rahimi, Sahand & Meratizaman, Mousa & Monadizadeh, Sina & Amidpour, Majid, 2014. "Techno-economic analysis of wind turbine–PEM (polymer electrolyte membrane) fuel cell hybrid system in standalone area," Energy, Elsevier, vol. 67(C), pages 381-396.
    7. Cristina Vázquez-Hernández & Javier Serrano-González & Gabriel Centeno, 2017. "A Market-Based Analysis on the Main Characteristics of Gearboxes Used in Onshore Wind Turbines," Energies, MDPI, vol. 10(11), pages 1-17, October.
    8. Engeland, Kolbjørn & Borga, Marco & Creutin, Jean-Dominique & François, Baptiste & Ramos, Maria-Helena & Vidal, Jean-Philippe, 2017. "Space-time variability of climate variables and intermittent renewable electricity production – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 600-617.
    9. Chehouri, Adam & Younes, Rafic & Ilinca, Adrian & Perron, Jean, 2015. "Review of performance optimization techniques applied to wind turbines," Applied Energy, Elsevier, vol. 142(C), pages 361-388.
    10. Kusiak, Andrew & Zhang, Zijun & Verma, Anoop, 2013. "Prediction, operations, and condition monitoring in wind energy," Energy, Elsevier, vol. 60(C), pages 1-12.
    11. Hu, Jianming & Wang, Jianzhou & Zeng, Guowei, 2013. "A hybrid forecasting approach applied to wind speed time series," Renewable Energy, Elsevier, vol. 60(C), pages 185-194.
    12. Teetz, H.W. & Harms, T.M. & von Backström, T.W., 2003. "Assessment of the wind power potential at SANAE IV base, Antarctica: a technical and economic feasibility study," Renewable Energy, Elsevier, vol. 28(13), pages 2037-2061.
    13. Leijon, Mats & Skoglund, Annika & Waters, Rafael & Rehn, Alf & Lindahl, Marcus, 2010. "On the physics of power, energy and economics of renewable electric energy sources – Part I," Renewable Energy, Elsevier, vol. 35(8), pages 1729-1734.
    14. Chang, Yue & Jia, Yulong & Hong, Tan, 2023. "Comprehensive analysis and multi-objective optimization of an innovative power generation system using biomass gasification and LNG regasification processes," Energy, Elsevier, vol. 283(C).
    15. Laura Canale & Anna Rita Di Fazio & Mario Russo & Andrea Frattolillo & Marco Dell’Isola, 2021. "An Overview on Functional Integration of Hybrid Renewable Energy Systems in Multi-Energy Buildings," Energies, MDPI, vol. 14(4), pages 1-33, February.
    16. Moura Carneiro, F.O. & Barbosa Rocha, H.H. & Costa Rocha, P.A., 2013. "Investigation of possible societal risk associated with wind power generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 30-36.
    17. Dixon, Christopher & Reynolds, Steve & Rodley, David, 2016. "Micro/small wind turbine power control for electrolysis applications," Renewable Energy, Elsevier, vol. 87(P1), pages 182-192.
    18. Mehrjoo, Mehrdad & Jafari Jozani, Mohammad & Pawlak, Miroslaw, 2021. "Toward hybrid approaches for wind turbine power curve modeling with balanced loss functions and local weighting schemes," Energy, Elsevier, vol. 218(C).
    19. Chandel, S.S. & Ramasamy, P. & Murthy, K.S.R, 2014. "Wind power potential assessment of 12 locations in western Himalayan region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 530-545.
    20. Alobaid, Falah & Karner, Karl & Belz, Jörg & Epple, Bernd & Kim, Hyun-Gee, 2014. "Numerical and experimental study of a heat recovery steam generator during start-up procedure," Energy, Elsevier, vol. 64(C), pages 1057-1070.

    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:appene:v:136:y:2014:i:c:p:817-826. 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: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.