Wind Energy Science
Wind Energy Science
Wind Energy Science
Articles | Volume 6, issue 3
Articles | Volume 6, issue 3
Wind Energ. Sci., 6, 737–758, 2021
https://doi.org/10.5194/wes-6-737-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Wind Energ. Sci., 6, 737–758, 2021
https://doi.org/10.5194/wes-6-737-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 6, issue 3

Research article 28 May 2021

Research article | 28 May 2021

Design and analysis of a wake model for spatially heterogeneous flow

Alayna Farrell et al.

Viewed

Total article views: 1,167 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
784 332 51 1,167 50 51
  • HTML: 784
  • PDF: 332
  • XML: 51
  • Total: 1,167
  • BibTeX: 50
  • EndNote: 51
Views and downloads (calculated since 17 Mar 2020)
Cumulative views and downloads (calculated since 17 Mar 2020)

Viewed (geographical distribution)

Total article views: 937 (including HTML, PDF, and XML) Thereof 937 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 27 Jul 2021
Download
Short summary
Most current wind turbine wake models struggle to accurately simulate spatially variant wind conditions at a low computational cost. In this paper, we present an adaptation of NREL's FLOw Redirection and Induction in Steady State (FLORIS) wake model, which calculates wake losses in a heterogeneous flow field using local weather measurement inputs. Two validation studies are presented where the adapted model consistently outperforms previous versions of FLORIS that simulated uniform flow only.
Read more