skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

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:
Journal Article: 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:
49 EE - Wind and Water Power Program - Wind (EE-4W); Doppler wind lidars; wind direction; wind turbine; flow velocities; variance; turbulent kinetic energy

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. doi: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. doi: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},
issn = {1742-6588},
number = ,
volume = 1618,
place = {United States},
year = {2020},
month = {9}
}

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

Save / Share:

Works referenced in this record:

Field Measurements of Wind Turbine Wakes with Lidars
journal, February 2013

  • Iungo, Giacomo Valerio; Wu, Yu-Ting; Porté-Agel, Fernando
  • Journal of Atmospheric and Oceanic Technology, Vol. 30, Issue 2
  • DOI: 10.1175/JTECH-D-12-00051.1

The Perdigão: Peering into Microscale Details of Mountain Winds
journal, May 2019

  • Fernando, H. J. S.; Mann, J.; Palma, J. M. L. M.
  • Bulletin of the American Meteorological Society, Vol. 100, Issue 5
  • DOI: 10.1175/BAMS-D-17-0227.1

Large eddy simulation of wind turbine wake dynamics in the stable boundary layer using the Weather Research and Forecasting Model
journal, May 2014

  • Aitken, Matthew L.; Kosović, Branko; Mirocha, Jeffrey D.
  • Journal of Renewable and Sustainable Energy, Vol. 6, Issue 3
  • DOI: 10.1063/1.4885111

High resolution wind turbine wake measurements with a scanning lidar
journal, May 2017


Does the wind turbine wake follow the topography? A multi-lidar study in complex terrain
journal, January 2018

  • Menke, Robert; Vasiljević, Nikola; Hansen, Kurt S.
  • Wind Energy Science, Vol. 3, Issue 2
  • DOI: 10.5194/wes-3-681-2018

Coplanar lidar measurement of a single wind energy converter wake in distinct atmospheric stability regimes at the Perdigão 2017 experiment
journal, June 2018


Impact of Neutral Boundary-Layer Turbulence on Wind-Turbine Wakes: A Numerical Modelling Study
journal, October 2016


Wind turbine wake measurements with automatically adjusting scanning trajectories in a multi-Doppler lidar setup
journal, January 2018

  • Wildmann, Norman; Vasiljevic, Nikola; Gerz, Thomas
  • Atmospheric Measurement Techniques, Vol. 11, Issue 6
  • DOI: 10.5194/amt-11-3801-2018

Wind turbine wake characterization in complex terrain via integrated Doppler lidar data from the Perdigão experiment
journal, June 2018


Offshore Wind Turbine Wakes Measured by Sodar
journal, April 2003


Wake Measurements of a Multi-MW Wind Turbine with Coherent Long-Range Pulsed Doppler Wind Lidar
journal, September 2010

  • Käsler, Yvonne; Rahm, Stephan; Simmet, Rudolf
  • Journal of Atmospheric and Oceanic Technology, Vol. 27, Issue 9, p. 1529-1532
  • DOI: 10.1175/2010JTECHA1483.1

MASC – a small Remotely Piloted Aircraft (RPA) for wind energy research
journal, January 2014

  • Wildmann, N.; Hofsäß, M.; Weimer, F.
  • Advances in Science and Research, Vol. 11, Issue 1
  • DOI: 10.5194/asr-11-55-2014

Three-dimensional structure of wind turbine wakes as measured by scanning lidar
journal, January 2017

  • Bodini, Nicola; Zardi, Dino; Lundquist, Julie K.
  • Atmospheric Measurement Techniques, Vol. 10, Issue 8
  • DOI: 10.5194/amt-10-2881-2017

Measurement of Atmospheric Turbulence by 2- μ m Doppler Lidar
journal, November 2005

  • Smalikho, Igor; Köpp, Friedrich; Rahm, Stephan
  • Journal of Atmospheric and Oceanic Technology, Vol. 22, Issue 11
  • DOI: 10.1175/JTECH1815.1

Grand challenges in the science of wind energy
journal, October 2019


Dissipation of Turbulence in the Wake of a Wind Turbine
journal, November 2014


Impact of the Diurnal Cycle of the Atmospheric Boundary Layer on Wind-Turbine Wakes: A Numerical Modelling Study
journal, October 2017


Lidar Investigation of Atmosphere Effect on a Wind Turbine Wake
journal, November 2013

  • Smalikho, I. N.; Banakh, V. A.; Pichugina, Y. L.
  • Journal of Atmospheric and Oceanic Technology, Vol. 30, Issue 11
  • DOI: 10.1175/JTECH-D-12-00108.1

Calculating the flowfield in the wake of wind turbines
journal, January 1988


Atmospheric Turbulence Effects on Wind-Turbine Wakes: An LES Study
journal, December 2012

  • Wu, Yu-Ting; Porté-Agel, Fernando
  • Energies, Vol. 5, Issue 12
  • DOI: 10.3390/en5125340

Utility-Scale Wind Turbine Wake Characterization Using Nacelle-Based Long-Range Scanning Lidar
journal, July 2014

  • Aitken, Matthew L.; Lundquist, Julie K.
  • Journal of Atmospheric and Oceanic Technology, Vol. 31, Issue 7
  • DOI: 10.1175/JTECH-D-13-00218.1

Automated wind turbine wake characterization in complex terrain
journal, January 2019

  • Barthelmie, Rebecca J.; Pryor, Sara C.
  • Atmospheric Measurement Techniques, Vol. 12, Issue 6
  • DOI: 10.5194/amt-12-3463-2019

Estimation of turbulence dissipation rate and its variability from sonic anemometer and wind Doppler lidar during the XPIA field campaign
journal, January 2018

  • Bodini, Nicola; Lundquist, Julie K.; Newsom, Rob K.
  • Atmospheric Measurement Techniques, Vol. 11, Issue 7
  • DOI: 10.5194/amt-11-4291-2018

Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign
journal, January 2019

  • Wildmann, Norman; Bodini, Nicola; Lundquist, Julie K.
  • Atmospheric Measurement Techniques, Vol. 12, Issue 12
  • DOI: 10.5194/amt-12-6401-2019

Long-term research challenges in wind energy – a research agenda by the European Academy of Wind Energy
journal, January 2016

  • van Kuik, G. A. M.; Peinke, J.; Nijssen, R.
  • Wind Energy Science, Vol. 1, Issue 1
  • DOI: 10.5194/wes-1-1-2016