Wind Energy Science
Wind Energy Science
WES
Articles | Volume 8, issue 9
Articles | Volume 8, issue 9
https://doi.org/10.5194/wes-8-1453-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-8-1453-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 8, issue 9
Research article
 | 
19 Sep 2023
Research article |  | 19 Sep 2023

A neighborhood search integer programming approach for wind farm layout optimization

Juan-Andrés Pérez-Rúa, Mathias Stolpe, and Nicolaos Antonio Cutululis

Viewed

Total article views: 3,626 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,746 761 119 3,626 109 147
  • HTML: 2,746
  • PDF: 761
  • XML: 119
  • Total: 3,626
  • BibTeX: 109
  • EndNote: 147
Views and downloads (calculated since 20 Sep 2022)
Cumulative views and downloads (calculated since 20 Sep 2022)

Viewed (geographical distribution)

Total article views: 3,626 (including HTML, PDF, and XML) Thereof 3,479 with geography defined and 147 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 17 Jul 2026
Download
Short summary
With the challenges of ensuring secure energy supplies and meeting climate targets, wind energy is on course to become the cornerstone of decarbonized energy systems. This work proposes a new method to optimize wind farms by means of smartly placing wind turbines within a given project area, leading to more green-energy generation. This method performs satisfactorily compared to state-of-the-art approaches in terms of the resultant annual energy production and other high-level metrics.
Read more
Share
Altmetrics
Final-revised paper
Preprint