IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v249y2025ics0960148125007372.html
   My bibliography  Save this article

Large-eddy simulation of wind farm wake behavior and power efficiency: Effects of atmospheric stratification and staggered configurations

Author

Listed:
  • Lu, Pan
  • Wang, Yan
  • Zhou, Yongze
  • Ge, Mingwei
  • Li, Rennian

Abstract

Wake interference between wind turbine arrays significantly affects wind farm performance. While staggered configurations, both laterally and vertically, have shown potential in mitigating this interference, their performance under different atmospheric stratifications remains ambiguous. This study uses large eddy simulation (LES) to evaluate the advantages of staggered configurations over the conventional aligned configuration, focusing on their ability to reduce turbulence-induced instability and improve energy efficiency, underscoring their potential applicability in real-world scenarios. Simulation results indicate that the laterally-staggered configuration, which increases the effective distance between consecutive turbines, allows turbine wakes to experience lower velocity deficits and turbulence intensity when interacting with downstream turbines, thereby improving aerodynamic performance. However, the performance of the laterally-staggered configuration is highly sensitive to changes in stratification regimes due to the modulating effects of atmospheric stratification on the internal flow within the wind farm, altering the inherent power generation patterns under different stratification regimes. Nonetheless, the laterally-staggered configuration improved power generation by 36% and reduced turbulence intensity inside the wind farm by 11.5%. In contrast, the vertically-staggered configurations demonstrate minimal sensitivity to stratification changes, with a relatively larger hub height difference (2Hd) between turbines improving power generation (up to 18.4%) and reducing turbulence intensity (up to 5.7%).

Suggested Citation

  • Lu, Pan & Wang, Yan & Zhou, Yongze & Ge, Mingwei & Li, Rennian, 2025. "Large-eddy simulation of wind farm wake behavior and power efficiency: Effects of atmospheric stratification and staggered configurations," Renewable Energy, Elsevier, vol. 249(C).
  • Handle: RePEc:eee:renene:v:249:y:2025:i:c:s0960148125007372
    DOI: 10.1016/j.renene.2025.123075
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125007372
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.123075?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.

    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:renene:v:249:y:2025:i:c:s0960148125007372. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.