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Title: Long-range Doppler lidar measurements of wind turbine wakes and their interaction with turbulent atmospheric boundary-layer flow at Perdigao 2017

Abstract

As part of the Perdigão 2017 campaign, vertical RHI (range-height indicator) scans with long-range pulsed Doppler wind lidars were performed aligned with the main wind direction and a wind turbine (WT) located on a mountain ridge. The measurements are used to not only retrieve flow velocities, but also their variance and - by using the turbulent broadening of the Doppler spectrum - also turbulent kinetic energy (TKE) dissipation rate. The study shows that turbulence in the WT wake is dependent on the turbulence of the inflow, but also on atmospheric stability. In stable atmospheric conditions, wakes could be analyzed up to five rotor diameters downstream (D) and showed the maximum turbulence in the wake at 2-3 D, whereas in unstable conditions, the maximum was found at 2 D and the wake could not be detected further than 3 D. A clear dependency of wake turbulence enhancement on inflow turbulence intensity is found, which levels out to no further enhancement at turbulence intensities of 30%.

Authors:
 [1];  [1]; ORCiD logo [2]
  1. Deutsches Zentrum für Luft- und Raumfahrt e.V., Oberpfaffenhofen (Germany). Inst. of Atmospheric Physics
  2. Univ. of Colorado, Boulder, CO (United States). Dept. of Atmospheric and Oceanic Sciences; National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
OSTI Identifier:
1670158
Report Number(s):
NREL/JA-5000-77994
Journal ID: ISSN 1742-6588; MainId:31903;UUID:b9090824-26d0-44c4-abc0-3d53c7b7ed0d;MainAdminID:18620
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 1618; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; Doppler wind lidars; flow velocities; turbulent kinetic energy; variance; wind direction; wind turbine

Citation Formats

Wildmann, Norman, Gerz, Thomas, and Lundquist, Julie K. Long-range Doppler lidar measurements of wind turbine wakes and their interaction with turbulent atmospheric boundary-layer flow at Perdigao 2017. United States: N. p., 2020. Web. doi:10.1088/1742-6596/1618/3/032034.
Wildmann, Norman, Gerz, Thomas, & Lundquist, Julie K. Long-range Doppler lidar measurements of wind turbine wakes and their interaction with turbulent atmospheric boundary-layer flow at Perdigao 2017. United States. https://doi.org/10.1088/1742-6596/1618/3/032034
Wildmann, Norman, Gerz, Thomas, and Lundquist, Julie K. Tue . "Long-range Doppler lidar measurements of wind turbine wakes and their interaction with turbulent atmospheric boundary-layer flow at Perdigao 2017". United States. https://doi.org/10.1088/1742-6596/1618/3/032034. https://www.osti.gov/servlets/purl/1670158.
@article{osti_1670158,
title = {Long-range Doppler lidar measurements of wind turbine wakes and their interaction with turbulent atmospheric boundary-layer flow at Perdigao 2017},
author = {Wildmann, Norman and Gerz, Thomas and Lundquist, Julie K.},
abstractNote = {As part of the Perdigão 2017 campaign, vertical RHI (range-height indicator) scans with long-range pulsed Doppler wind lidars were performed aligned with the main wind direction and a wind turbine (WT) located on a mountain ridge. The measurements are used to not only retrieve flow velocities, but also their variance and - by using the turbulent broadening of the Doppler spectrum - also turbulent kinetic energy (TKE) dissipation rate. The study shows that turbulence in the WT wake is dependent on the turbulence of the inflow, but also on atmospheric stability. In stable atmospheric conditions, wakes could be analyzed up to five rotor diameters downstream (D) and showed the maximum turbulence in the wake at 2-3 D, whereas in unstable conditions, the maximum was found at 2 D and the wake could not be detected further than 3 D. A clear dependency of wake turbulence enhancement on inflow turbulence intensity is found, which levels out to no further enhancement at turbulence intensities of 30%.},
doi = {10.1088/1742-6596/1618/3/032034},
journal = {Journal of Physics. Conference Series},
number = ,
volume = 1618,
place = {United States},
year = {Tue Sep 22 00:00:00 EDT 2020},
month = {Tue Sep 22 00:00:00 EDT 2020}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Figures / Tables:

Figure 1 Figure 1: Map of the Perdigão map, indicating the location of DLR-operated scanning lidars, the 100 m meteorological masts and the wind turbine. The wind rose is showing wind measurements of the sonic at WT hub height on tower 20/tse04 during the IOP.

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Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.