Next Article in Journal
Fast Segmentation and Classification of Very High Resolution Remote Sensing Data Using SLIC Superpixels
Previous Article in Journal
Mapping Forest Ecosystem Biomass Density for Xiangjiang River Basin by Combining Plot and Remote Sensing Data and Comparing Spatial Extrapolation Methods
Previous Article in Special Issue
Wind Resource Assessment for High-Rise BIWT Using RS-NWP-CFD
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Remote Sens. 2017, 9(3), 242; doi:10.3390/rs9030242

Characterization of Turbulence in Wind Turbine Wakes under Different Stability Conditions from Static Doppler LiDAR Measurements

Geophysical Institute, University of Bergen and Bjerknes Centre for Climate Research, Allegaten 70, 5007 Bergen, Norway
*
Author to whom correspondence should be addressed.
Academic Editors: Charlotte Bay Hasager, Alfredo Peña, Xiaofeng Li and Prasad S. Thenkabail
Received: 5 July 2016 / Revised: 11 February 2017 / Accepted: 22 February 2017 / Published: 5 March 2017
(This article belongs to the Special Issue Remote Sensing of Wind Energy)
View Full-Text   |   Download PDF [2116 KB, uploaded 5 March 2017]   |  

Abstract

Wake characteristics are of great importance for wind park performance and turbine loads. While wind tunnel experiments provided a solid base for the basic understanding of the structure and dynamics of wind turbine wakes, the consequent step forward to characterize wakes is full-scale measurements in real atmospheric boundary layer conditions under different stability regimes. Scanning Doppler LiDAR measurements have proven to be a flexible and useful tool for such measurements. However, their advantage of measuring spatial fluctuation is accompanied by the limited temporal resolution of individual sampling volumes within the scanned area. This study presents results from LiDAR Doppler Beam Swing (DBS) measurements and highlights the potential of information retrieved from a spectral analysis of wake measurements. Data originate from three Windcube v1 and sonic anemometers, collected during the Wind Turbine Wake Experiment–Wieringermeer. Despite the ongoing research on the reliability of turbulence retrievals based on DBS data, our results show wake peak frequencies consistent with sonic anemometer measurements. The energy spectra show rather distinct maxima during stable conditions, which broaden during unstable and neutral conditions. Investigations on the effect of blade pitch on downstream wind speed and turbulence intensity profiles indicate the potential for the development of stability-dependent wind farm control strategies. View Full-Text
Keywords: LiDAR; wind turbine wakes; atmospheric stability; wind energy LiDAR; wind turbine wakes; atmospheric stability; wind energy
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Kumer, V.-M.; Reuder, J.; Oftedal Eikill, R. Characterization of Turbulence in Wind Turbine Wakes under Different Stability Conditions from Static Doppler LiDAR Measurements. Remote Sens. 2017, 9, 242.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top