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Title: Three-dimensional structure of wind turbine wakes as measured by scanning lidar

Abstract

The lower wind speeds and increased turbulence that are characteristic of turbine wakes have considerable consequences on large wind farms: turbines located downwind generate less power and experience increased turbulent loads. The structures of wakes and their downwind impacts are sensitive to wind speed and atmospheric variability. Wake characterization can provide important insights for turbine layout optimization in view of decreasing the cost of wind energy. The CWEX-13 field campaign, which took place between June and September 2013 in a wind farm in Iowa, was designed to explore the interaction of multiple wakes in a range of atmospheric stability conditions. Based on lidar wind measurements, we extend, present, and apply a quantitative algorithm to assess wake parameters such as the velocity deficits, the size of the wake boundaries, and the location of the wake centerlines. We focus on wakes from a row of four turbines at the leading edge of the wind farm to explore variations between wakes from the edge of the row (outer wakes) and those from turbines in the center of the row (inner wakes). Using multiple horizontal scans at different elevations, a three-dimensional structure of wakes from the row of turbines can be created. Wakes erodemore » very quickly during unstable conditions and can in fact be detected primarily in stable conditions in the conditions measured here. During stable conditions, important differences emerge between the wakes of inner turbines and the wakes of outer turbines. Further, the strong wind veer associated with stable conditions results in a stretching of the wake structures, and this stretching manifests differently for inner and outer wakes. As a result, these insights can be incorporated into low-order wake models for wind farm layout optimization or for wind power forecasting.« less

Authors:
 [1]; ORCiD logo [2]; ORCiD logo [3]
  1. Univ. of Colorado, Boulder, CO (United States); Univ. of Trento, Trento (Italy)
  2. Univ. of Trento, Trento (Italy)
  3. Univ. of Colorado, Boulder, CO (United States); 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)
OSTI Identifier:
1374921
Alternate Identifier(s):
OSTI ID: 1379466
Report Number(s):
NREL/JA-5000-70056
Journal ID: ISSN 1867-8548
Grant/Contract Number:  
AC36-08GO28308; APUP UGA-0-41026-22
Resource Type:
Journal Article: Published Article
Journal Name:
Atmospheric Measurement Techniques (Online)
Additional Journal Information:
Journal Name: Atmospheric Measurement Techniques (Online); Journal Volume: 10; Journal Issue: 8; Journal ID: ISSN 1867-8548
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; wake characteristics; atmospheric stability; wind turbines

Citation Formats

Bodini, Nicola, Zardi, Dino, and Lundquist, Julie K. Three-dimensional structure of wind turbine wakes as measured by scanning lidar. United States: N. p., 2017. Web. doi:10.5194/amt-10-2881-2017.
Bodini, Nicola, Zardi, Dino, & Lundquist, Julie K. Three-dimensional structure of wind turbine wakes as measured by scanning lidar. United States. doi:10.5194/amt-10-2881-2017.
Bodini, Nicola, Zardi, Dino, and Lundquist, Julie K. Mon . "Three-dimensional structure of wind turbine wakes as measured by scanning lidar". United States. doi:10.5194/amt-10-2881-2017.
@article{osti_1374921,
title = {Three-dimensional structure of wind turbine wakes as measured by scanning lidar},
author = {Bodini, Nicola and Zardi, Dino and Lundquist, Julie K.},
abstractNote = {The lower wind speeds and increased turbulence that are characteristic of turbine wakes have considerable consequences on large wind farms: turbines located downwind generate less power and experience increased turbulent loads. The structures of wakes and their downwind impacts are sensitive to wind speed and atmospheric variability. Wake characterization can provide important insights for turbine layout optimization in view of decreasing the cost of wind energy. The CWEX-13 field campaign, which took place between June and September 2013 in a wind farm in Iowa, was designed to explore the interaction of multiple wakes in a range of atmospheric stability conditions. Based on lidar wind measurements, we extend, present, and apply a quantitative algorithm to assess wake parameters such as the velocity deficits, the size of the wake boundaries, and the location of the wake centerlines. We focus on wakes from a row of four turbines at the leading edge of the wind farm to explore variations between wakes from the edge of the row (outer wakes) and those from turbines in the center of the row (inner wakes). Using multiple horizontal scans at different elevations, a three-dimensional structure of wakes from the row of turbines can be created. Wakes erode very quickly during unstable conditions and can in fact be detected primarily in stable conditions in the conditions measured here. During stable conditions, important differences emerge between the wakes of inner turbines and the wakes of outer turbines. Further, the strong wind veer associated with stable conditions results in a stretching of the wake structures, and this stretching manifests differently for inner and outer wakes. As a result, these insights can be incorporated into low-order wake models for wind farm layout optimization or for wind power forecasting.},
doi = {10.5194/amt-10-2881-2017},
journal = {Atmospheric Measurement Techniques (Online)},
number = 8,
volume = 10,
place = {United States},
year = {Mon Aug 14 00:00:00 EDT 2017},
month = {Mon Aug 14 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.5194/amt-10-2881-2017

Citation Metrics:
Cited by: 4 works
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