The AWAKEN wind farm benchmark – Part 1: Observed conditions

Abstract. Wind turbine wakes significantly reduce downstream performance, yet accurately modeling their sensitivity to atmospheric stability and terrain remains a challenge. To address this, the International Energy Agency Wind Technology Collaboration Programme Task 57 launched a new wind farm wake benchmark leveraging high-resolution observations from the American WAKE experimeNt (AWAKEN). This paper, Part 1 of a two-part series, details the observational dataset and the selection of 24 August 2023 as the case study for the benchmark. This date was selected for its canonical diurnal cycle, which features a low-level jet with strong nocturnal stratification and high turbulence during the daytime. Analysis of the observational data reveals that despite the relatively simple terrain, interactions between the low-level jet and topography drove significant spatial variability in wind flow, leading to turbine power differences of up to 80 % across the considered wind farm. This paper characterizes these observed conditions to provide a rigorous foundation for the modeling performance evaluation presented in the companion Part 2 paper.

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Publication Details

Journal
Wind energy science
Published
2026-11-03
DOI
https://doi.org/10.5194/wes-11-4093-2026
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
0.00

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article

The AWAKEN wind farm benchmark – Part 1: Observed conditions

Paula Doubrawa, Patrick Moriarty, Aliza Abraham, Stefano Letizia et al.
3 links
Wind energy science
Wind Energy Research and Development
article

The AWAKEN wind farm benchmark – Part 1: Observed conditions

Paula Doubrawa, Patrick Moriarty, Aliza Abraham, Stefano Letizia, Nicola Bodini, Julie K. Lundquist, Ryan Scott
article en

Abstract

Abstract. Wind turbine wakes significantly reduce downstream performance, yet accurately modeling their sensitivity to atmospheric stability and terrain remains a challenge. To address this, the International Energy Agency Wind Technology Collaboration Programme Task 57 launched a new wind farm wake benchmark leveraging high-resolution observations from the American WAKE experimeNt (AWAKEN). This paper, Part 1 of a two-part series, details the observational dataset and the selection of 24 August 2023 as the case study for the benchmark. This date was selected for its canonical diurnal cycle, which features a low-level jet with strong nocturnal stratification and high turbulence during the daytime. Analysis of the observational data reveals that despite the relatively simple terrain, interactions between the low-level jet and topography drove significant spatial variability in wind flow, leading to turbine power differences of up to 80 % across the considered wind farm. This paper characterizes these observed conditions to provide a rigorous foundation for the modeling performance evaluation presented in the companion Part 2 paper.

Wind energy scienceVol. 11(11)
National Laboratory of the Rockies (US), Johns Hopkins University (US), GE Vernova (United States) (US)
Wind Energy Technologies Office
Affordable and clean energy
Openalex Percentile: Top 92%
Wind Energy Research and Development
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