IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v60y2016icp752-769.html
   My bibliography  Save this article

Wind turbine wake models developed at the technical university of Denmark: A review

Author

Listed:
  • Göçmen, Tuhfe
  • Laan, Paul van der
  • Réthoré, Pierre-Elouan
  • Diaz, Alfredo Peña
  • Larsen, Gunner Chr.
  • Ott, Søren

Abstract

Wind turbine wakes are one of the most important aspects in wind power meteorology because they decrease the power production and increase the loading of downstream wind turbines. Therefore, there is a continuous need to find a ‘good’ wake model to properly plan wind power plant-level control strategies, predict the performance and understand the fatigue loads of turbines. In this paper, six widely used approaches of wake modelling (Jensen, Larsen, Dynamic Wake Meandering, Fuga and, Ellipsys3D LES and RANS together with their interpretations) that were developed at Technical University of Denmark, are described and the model subcomponents are analysed. The models are evaluated using data from the Sexbierum (onshore) and the Lillgrund (offshore) wind farms to understand how to best utilize them.

Suggested Citation

  • Göçmen, Tuhfe & Laan, Paul van der & Réthoré, Pierre-Elouan & Diaz, Alfredo Peña & Larsen, Gunner Chr. & Ott, Søren, 2016. "Wind turbine wake models developed at the technical university of Denmark: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 752-769.
  • Handle: RePEc:eee:rensus:v:60:y:2016:i:c:p:752-769
    DOI: 10.1016/j.rser.2016.01.113
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S136403211600143X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2016.01.113?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. Peña, Alfredo & Réthoré, Pierre-Elouan & Rathmann, Ole, 2014. "Modeling large offshore wind farms under different atmospheric stability regimes with the Park wake model," Renewable Energy, Elsevier, vol. 70(C), pages 164-171.
    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. Ohba, Masamichi & Kadokura, Shinji & Nohara, Daisuke, 2016. "Impacts of synoptic circulation patterns on wind power ramp events in East Japan," Renewable Energy, Elsevier, vol. 96(PA), pages 591-602.
    2. Pérez Albornoz, C. & Escalante Soberanis, M.A. & Ramírez Rivera, V. & Rivero, M., 2022. "Review of atmospheric stability estimations for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    3. Kevin Ray Español Lucas & Tomonori Sato & Masamichi Ohba, 2021. "Hourly Variation of Wind Speeds in the Philippines and Its Potential Impact on the Stability of the Power System," Energies, MDPI, vol. 14(8), pages 1-14, April.
    4. Han, Xingxing & Liu, Deyou & Xu, Chang & Shen, Wen Zhong, 2018. "Atmospheric stability and topography effects on wind turbine performance and wake properties in complex terrain," Renewable Energy, Elsevier, vol. 126(C), pages 640-651.
    5. Cranmer, Alexana & Baker, Erin & Liesiö, Juuso & Salo, Ahti, 2018. "A portfolio model for siting offshore wind farms with economic and environmental objectives," European Journal of Operational Research, Elsevier, vol. 267(1), pages 304-314.
    6. Masoudi, Seiied Mohsen & Baneshi, Mehdi, 2022. "Layout optimization of a wind farm considering grids of various resolutions, wake effect, and realistic wind speed and wind direction data: A techno-economic assessment," Energy, Elsevier, vol. 244(PB).
    7. Astariz, S. & Perez-Collazo, C. & Abanades, J. & Iglesias, G., 2015. "Towards the optimal design of a co-located wind-wave farm," Energy, Elsevier, vol. 84(C), pages 15-24.

    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:rensus:v:60:y:2016:i:c:p:752-769. 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/600126/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.