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An international benchmark for wind plant wakes from the American WAKE ExperimeNt (AWAKEN)

Journal Article · · Journal of Physics. Conference Series
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  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. Univ. of Colorado, Boulder, CO (United States)
  3. Univ. of Sao Paulo (Brazil)
  4. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
  5. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
  6. Texas Tech Univ., Lubbock, TX (United States)
  7. Univ. of Texas at Dallas, TX (United States)
  8. Univ. of Oklahoma, Norman, OK (United States)
  9. Univ. of Colorado, Boulder, CO (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  10. Univ. of Colorado, Boulder, CO (United States); National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
  11. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
  12. Portland State Univ., OR (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States)
+ Show Author Affiliations

This article introduces the first benchmark study within the International Energy Agency Wind Task 57 framework, focusing on wind plant wakes. Leveraging data from the American WAKE ExperimeNt (AWAKEN), the benchmark aims to assess the accuracy of simulation tools in modeling wind plant wakes and their impact on the downstream flow under diverse inflow conditions. The AWAKEN field campaign, conducted in Oklahoma from 2022 to 2024, provides unprecedented observations of wind plant-atmosphere interactions, thus offering a large dataset to validate numerical models of different complexity. The benchmark will include three phases—code calibration, blind comparison, and iteration—allowing participants to refine their numerical models based on the feedback from the benchmark team. This article describes the benchmark case study selected from observations providing details on atmospheric conditions, wake evidence, and wind turbine operation. The benchmark’s structure and timeline, along with the expected publication of results, are discussed as well. This collaborative effort aims to enhance the accuracy of wind plant wake simulations, thus contributing to the improvement of wind energy production estimates.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
2394621
Report Number(s):
NREL/JA--5000-88585; MainId:89364; UUID:3292e2d7-9c9b-47af-9099-1f315fc8076b; MainAdminId:72394
Journal Information:
Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Journal Issue: 9 Vol. 2767; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

References (9)

The ERA5 global reanalysis journal June 2020
Multimodel validation of single wakes in neutral and stratified atmospheric conditions journal July 2020
Costs and consequences of wind turbine wake effects arising from uncoordinated wind energy development journal November 2018
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) journal July 2017
Energy Effectiveness of Arbitrary Arrays of Wind Turbines journal November 1979
Dynamic Data Filtering of Long-Range Doppler LiDAR Wind Speed Measurements journal June 2017
United States Wind Turbine Database dataset January 2018
LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 1: Theoretical framework journal March 2021
Ground-based temperature and humidity profiling: combining active and passive remote sensors journal January 2021

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Related Subjects

17 WIND ENERGY
AWAKEN
benchmark
wind plant wakes