Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 5
Articles | Volume 7, issue 5
https://doi.org/10.5194/wes-7-2085-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-2085-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 5
Research article
 | 
21 Oct 2022
Research article |  | 21 Oct 2022

The sensitivity of the Fitch wind farm parameterization to a three-dimensional planetary boundary layer scheme

Alex Rybchuk, Timothy W. Juliano, Julie K. Lundquist, David Rosencrans, Nicola Bodini, and Mike Optis

Viewed

Total article views: 2,711 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,814 829 68 2,711 54 82
  • HTML: 1,814
  • PDF: 829
  • XML: 68
  • Total: 2,711
  • BibTeX: 54
  • EndNote: 82
Views and downloads (calculated since 08 Nov 2021)
Cumulative views and downloads (calculated since 08 Nov 2021)

Viewed (geographical distribution)

Total article views: 2,711 (including HTML, PDF, and XML) Thereof 2,634 with geography defined and 77 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Dec 2024
Download
Short summary
Numerical weather prediction models are used to predict how wind turbines will interact with the atmosphere. Here, we characterize the uncertainty associated with the choice of turbulence parameterization on modeled wakes. We find that simulated wind speed deficits in turbine wakes can be significantly sensitive to the choice of turbulence parameterization. As such, predictions of future generated power are also sensitive to turbulence parameterization choice.
Read more
Altmetrics
Final-revised paper
Preprint