IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v170y2021icp1342-1352.html
   My bibliography  Save this article

Modeling dynamic wind direction changes in large eddy simulations of wind farms

Author

Listed:
  • Stieren, Anja
  • Gadde, Srinidhi N.
  • Stevens, Richard J.A.M.

Abstract

The wind direction in atmospheric boundary layers changes continuously due to meso-scale weather phenomena. Developing accurate simulations of these changes is essential for understanding their effect on the performance of large wind farms. Our study introduces a new technique to model dynamic wind direction changes obtained from meso-scale simulations or field measurements in micro-scale large eddy simulations. We propose a method in which the simulation domain is treated as a non-inertial rotating reference frame. The primary benefit of our approach is that it is straightforward to implement and reproduces desired wind direction changes excellently. We verified our approach in neutral atmospheric boundary layers and show that the observed boundary-layer characteristics for dynamic wind directions agree very well with those observed for constant mean wind directions when the wind direction is changed slowly such that the flow is quasi-stationary. Further, we show that atmospheric measurements of the wind direction can be reproduced by our method. To underline the importance of the method, we conclude with a representative scenario, which shows that dynamic wind direction changes can affect the performance of large wind farms.

Suggested Citation

  • Stieren, Anja & Gadde, Srinidhi N. & Stevens, Richard J.A.M., 2021. "Modeling dynamic wind direction changes in large eddy simulations of wind farms," Renewable Energy, Elsevier, vol. 170(C), pages 1342-1352.
  • Handle: RePEc:eee:renene:v:170:y:2021:i:c:p:1342-1352
    DOI: 10.1016/j.renene.2021.02.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148121001853
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2021.02.018?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.

    Citations

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


    Cited by:

    1. Qian, Guo-Wei & Song, Yun-Peng & Ishihara, Takeshi, 2022. "A control-oriented large eddy simulation of wind turbine wake considering effects of Coriolis force and time-varying wind conditions," Energy, Elsevier, vol. 239(PA).

    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:170:y:2021:i:c:p:1342-1352. 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.