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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2022-82', Anonymous Referee #1, 25 Jan 2023
    • AC1: 'Reply on RC1', Juan-Andrés Pérez-Rúa, 06 Mar 2023
  • RC2: 'Comment on wes-2022-82', Erik Quaeghebeur, 15 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Juan-Andrés Pérez-Rúa on behalf of the Authors (24 Apr 2023)  Author's tracked changes 
EF by Polina Shvedko (26 Apr 2023)  Manuscript   Author's response 
ED: Referee Nomination & Report Request started (06 Jun 2023) by Michael Muskulus
RR by Anonymous Referee #1 (10 Jul 2023)
RR by Erik Quaeghebeur (27 Jul 2023)
ED: Publish subject to minor revisions (review by editor) (28 Jul 2023) by Michael Muskulus
AR by Juan-Andrés Pérez-Rúa on behalf of the Authors (01 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (11 Aug 2023) by Michael Muskulus
ED: Publish as is (12 Aug 2023) by Paul Veers (Chief editor)
AR by Juan-Andrés Pérez-Rúa on behalf of the Authors (13 Aug 2023)
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.
Final-revised paper