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Title: Using high-fidelity computational fluid dynamics to help design a wind turbine wake measurement experiment

Here, we describe the process of using large-eddy simulations of wind turbine wake flow to help design a wake measurement campaign. The main goal of the experiment is to measure wakes and wake deflection that result from intentional yaw misalignment under a variety of atmospheric conditions at the Scaled Wind Farm Technology facility operated by Sandia National Laboratories in Lubbock, Texas. Prior simulation studies have shown that wake deflection may be used for wind-plant control that maximizes plant power output. In this study, simulations are performed to characterize wake deflection and general behavior before the experiment is performed to ensure better upfront planning. Beyond characterizing the expected wake behavior, we also use the large-eddy simulation to test a virtual version of the lidar we plan to use to measure the wake and better understand our lidar scan strategy options. This work is an excellent example of a 'simulation-in-the-loop' measurement campaign.
Authors:
 [1] ;  [1] ;  [1] ;  [2] ;  [3] ;  [3]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Technical Univ. of Denmark, Roskilde (Denmark)
Publication Date:
Report Number(s):
NREL/JA-5000-66857
Journal ID: ISSN 1742-6588
Grant/Contract Number:
AC36-08GO28308
Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 753; Journal Issue: B; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; wind turbine wakes; simulation; experiment; SWiFT; lidar; scaled wind farm technology
OSTI Identifier:
1335211

Churchfield, M., Wang, Q., Scholbrock, A., Herges, T., Mikkelsen, T., and Sjoholm, M.. Using high-fidelity computational fluid dynamics to help design a wind turbine wake measurement experiment. United States: N. p., Web. doi:10.1088/1742-6596/753/3/032009.
Churchfield, M., Wang, Q., Scholbrock, A., Herges, T., Mikkelsen, T., & Sjoholm, M.. Using high-fidelity computational fluid dynamics to help design a wind turbine wake measurement experiment. United States. doi:10.1088/1742-6596/753/3/032009.
Churchfield, M., Wang, Q., Scholbrock, A., Herges, T., Mikkelsen, T., and Sjoholm, M.. 2016. "Using high-fidelity computational fluid dynamics to help design a wind turbine wake measurement experiment". United States. doi:10.1088/1742-6596/753/3/032009. https://www.osti.gov/servlets/purl/1335211.
@article{osti_1335211,
title = {Using high-fidelity computational fluid dynamics to help design a wind turbine wake measurement experiment},
author = {Churchfield, M. and Wang, Q. and Scholbrock, A. and Herges, T. and Mikkelsen, T. and Sjoholm, M.},
abstractNote = {Here, we describe the process of using large-eddy simulations of wind turbine wake flow to help design a wake measurement campaign. The main goal of the experiment is to measure wakes and wake deflection that result from intentional yaw misalignment under a variety of atmospheric conditions at the Scaled Wind Farm Technology facility operated by Sandia National Laboratories in Lubbock, Texas. Prior simulation studies have shown that wake deflection may be used for wind-plant control that maximizes plant power output. In this study, simulations are performed to characterize wake deflection and general behavior before the experiment is performed to ensure better upfront planning. Beyond characterizing the expected wake behavior, we also use the large-eddy simulation to test a virtual version of the lidar we plan to use to measure the wake and better understand our lidar scan strategy options. This work is an excellent example of a 'simulation-in-the-loop' measurement campaign.},
doi = {10.1088/1742-6596/753/3/032009},
journal = {Journal of Physics. Conference Series},
number = B,
volume = 753,
place = {United States},
year = {2016},
month = {10}
}