Detection of tip-vortex signatures behind a 2.5MW wind turbine

Mostafa Toloui, Leonardo Patricio Chamorro Chavez, Jiarong Hong

Research output: Contribution to journalArticle

Abstract

The near-field signature of the vortical structures shed from the blade tips behind a 2.5MW horizontal axis wind turbine in a stably-stratified atmospheric boundary layer (ABL) was quantified for the first time. This study utilizes wind velocity measurements from sonic anemometers installed on a meteorological tower, which offers continuous characterization of wind conditions in the field, at elevations coinciding with the bottom, hub and top tip heights of the turbine. Using the stringent criteria on wind speed, direction and steadiness, we are able to subsample the dataset in which the sonic anemometers are positioned near the edge of the turbine wake. The spectral analysis of this dataset shows a distinct peak at the turbine rotational frequency (fT) for hub and top tip height measurements. Based on recent literature, we infer that this peak is the signature of tip-vortices, and the shift of this signature from blade-passing frequency (3fT) to fT is likely to be caused by vortex grouping phenomena. Slight changes of mean wind direction in other data samples result in the absence of the spectral peak, suggesting the very local extent of tip vortices.

Original languageEnglish (US)
Pages (from-to)105-112
Number of pages8
JournalJournal of Wind Engineering and Industrial Aerodynamics
Volume143
DOIs
StatePublished - Aug 1 2015

Fingerprint

Wind turbines
Vortex flow
Turbines
Anemometers
Atmospheric boundary layer
Velocity measurement
Spectrum analysis
Towers
Turbomachine blades

Keywords

  • Field measurement
  • Spectral analysis
  • Tip vortex
  • Turbine wake
  • Vortex grouping
  • Wind turbine

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Renewable Energy, Sustainability and the Environment
  • Mechanical Engineering

Cite this

Detection of tip-vortex signatures behind a 2.5MW wind turbine. / Toloui, Mostafa; Chamorro Chavez, Leonardo Patricio; Hong, Jiarong.

In: Journal of Wind Engineering and Industrial Aerodynamics, Vol. 143, 01.08.2015, p. 105-112.

Research output: Contribution to journalArticle

@article{81449748535447fe8ebf4a570acaeae9,
title = "Detection of tip-vortex signatures behind a 2.5MW wind turbine",
abstract = "The near-field signature of the vortical structures shed from the blade tips behind a 2.5MW horizontal axis wind turbine in a stably-stratified atmospheric boundary layer (ABL) was quantified for the first time. This study utilizes wind velocity measurements from sonic anemometers installed on a meteorological tower, which offers continuous characterization of wind conditions in the field, at elevations coinciding with the bottom, hub and top tip heights of the turbine. Using the stringent criteria on wind speed, direction and steadiness, we are able to subsample the dataset in which the sonic anemometers are positioned near the edge of the turbine wake. The spectral analysis of this dataset shows a distinct peak at the turbine rotational frequency (fT) for hub and top tip height measurements. Based on recent literature, we infer that this peak is the signature of tip-vortices, and the shift of this signature from blade-passing frequency (3fT) to fT is likely to be caused by vortex grouping phenomena. Slight changes of mean wind direction in other data samples result in the absence of the spectral peak, suggesting the very local extent of tip vortices.",
keywords = "Field measurement, Spectral analysis, Tip vortex, Turbine wake, Vortex grouping, Wind turbine",
author = "Mostafa Toloui and {Chamorro Chavez}, {Leonardo Patricio} and Jiarong Hong",
year = "2015",
month = "8",
day = "1",
doi = "10.1016/j.jweia.2015.05.001",
language = "English (US)",
volume = "143",
pages = "105--112",
journal = "Journal of Wind Engineering and Industrial Aerodynamics",
issn = "0167-6105",
publisher = "Elsevier",

}

TY - JOUR

T1 - Detection of tip-vortex signatures behind a 2.5MW wind turbine

AU - Toloui, Mostafa

AU - Chamorro Chavez, Leonardo Patricio

AU - Hong, Jiarong

PY - 2015/8/1

Y1 - 2015/8/1

N2 - The near-field signature of the vortical structures shed from the blade tips behind a 2.5MW horizontal axis wind turbine in a stably-stratified atmospheric boundary layer (ABL) was quantified for the first time. This study utilizes wind velocity measurements from sonic anemometers installed on a meteorological tower, which offers continuous characterization of wind conditions in the field, at elevations coinciding with the bottom, hub and top tip heights of the turbine. Using the stringent criteria on wind speed, direction and steadiness, we are able to subsample the dataset in which the sonic anemometers are positioned near the edge of the turbine wake. The spectral analysis of this dataset shows a distinct peak at the turbine rotational frequency (fT) for hub and top tip height measurements. Based on recent literature, we infer that this peak is the signature of tip-vortices, and the shift of this signature from blade-passing frequency (3fT) to fT is likely to be caused by vortex grouping phenomena. Slight changes of mean wind direction in other data samples result in the absence of the spectral peak, suggesting the very local extent of tip vortices.

AB - The near-field signature of the vortical structures shed from the blade tips behind a 2.5MW horizontal axis wind turbine in a stably-stratified atmospheric boundary layer (ABL) was quantified for the first time. This study utilizes wind velocity measurements from sonic anemometers installed on a meteorological tower, which offers continuous characterization of wind conditions in the field, at elevations coinciding with the bottom, hub and top tip heights of the turbine. Using the stringent criteria on wind speed, direction and steadiness, we are able to subsample the dataset in which the sonic anemometers are positioned near the edge of the turbine wake. The spectral analysis of this dataset shows a distinct peak at the turbine rotational frequency (fT) for hub and top tip height measurements. Based on recent literature, we infer that this peak is the signature of tip-vortices, and the shift of this signature from blade-passing frequency (3fT) to fT is likely to be caused by vortex grouping phenomena. Slight changes of mean wind direction in other data samples result in the absence of the spectral peak, suggesting the very local extent of tip vortices.

KW - Field measurement

KW - Spectral analysis

KW - Tip vortex

KW - Turbine wake

KW - Vortex grouping

KW - Wind turbine

UR - http://www.scopus.com/inward/record.url?scp=84931268455&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84931268455&partnerID=8YFLogxK

U2 - 10.1016/j.jweia.2015.05.001

DO - 10.1016/j.jweia.2015.05.001

M3 - Article

AN - SCOPUS:84931268455

VL - 143

SP - 105

EP - 112

JO - Journal of Wind Engineering and Industrial Aerodynamics

JF - Journal of Wind Engineering and Industrial Aerodynamics

SN - 0167-6105

ER -