Effects of spanwise blade load distribution on wind turbine wake evolution

Xiaolei Yang; Aaron Boomsmay; Fotis Sotiropoulos; Christopher L. Kelley; David C. Maniaci; Brian R. Resor

Effects of spanwise blade load distribution on wind turbine wake evolution

Xiaolei Yang, Aaron Boomsmay, Fotis Sotiropoulos, Christopher L. Kelley, David C. Maniaci, Brian R. Resor

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, the effect of two different turbine blade designs on the wake characteristics was investigated using large-eddy simulation with an actuator line model. For the two different designs, the total axial load is nearly the same but the spanwise (radial) distributions are different. The one with higher load near the blade tip is denoted as Design A; the other is Design B. From the computed results, we observed that the velocity deficit from Design B is higher than that from Design A. The intensity of turbulence kinetic energy in the far wake is also higher for Design B. The effect of blade load distribution on the wind turbine axial and tangential induction factors was also investigated.

Original language	English (US)
Title of host publication	33rd Wind Energy Symposium
Publisher	American Institute of Aeronautics and Astronautics Inc.
ISBN (Electronic)	9781624103445
State	Published - Jan 1 2015
Event	33rd Wind Energy Symposium 2015 - Kissimmee, United States Duration: Jan 5 2015 → Jan 9 2015

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Name	33rd Wind Energy Symposium

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Other	33rd Wind Energy Symposium 2015
Country/Territory	United States
City	Kissimmee
Period	1/5/15 → 1/9/15

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title = "Effects of spanwise blade load distribution on wind turbine wake evolution",

abstract = "In this paper, the effect of two different turbine blade designs on the wake characteristics was investigated using large-eddy simulation with an actuator line model. For the two different designs, the total axial load is nearly the same but the spanwise (radial) distributions are different. The one with higher load near the blade tip is denoted as Design A; the other is Design B. From the computed results, we observed that the velocity deficit from Design B is higher than that from Design A. The intensity of turbulence kinetic energy in the far wake is also higher for Design B. The effect of blade load distribution on the wind turbine axial and tangential induction factors was also investigated.",

author = "Xiaolei Yang and Aaron Boomsmay and Fotis Sotiropoulos and Kelley, {Christopher L.} and Maniaci, {David C.} and Resor, {Brian R.}",

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language = "English (US)",

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T1 - Effects of spanwise blade load distribution on wind turbine wake evolution

AU - Yang, Xiaolei

AU - Boomsmay, Aaron

AU - Sotiropoulos, Fotis

AU - Kelley, Christopher L.

AU - Maniaci, David C.

AU - Resor, Brian R.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - In this paper, the effect of two different turbine blade designs on the wake characteristics was investigated using large-eddy simulation with an actuator line model. For the two different designs, the total axial load is nearly the same but the spanwise (radial) distributions are different. The one with higher load near the blade tip is denoted as Design A; the other is Design B. From the computed results, we observed that the velocity deficit from Design B is higher than that from Design A. The intensity of turbulence kinetic energy in the far wake is also higher for Design B. The effect of blade load distribution on the wind turbine axial and tangential induction factors was also investigated.

AB - In this paper, the effect of two different turbine blade designs on the wake characteristics was investigated using large-eddy simulation with an actuator line model. For the two different designs, the total axial load is nearly the same but the spanwise (radial) distributions are different. The one with higher load near the blade tip is denoted as Design A; the other is Design B. From the computed results, we observed that the velocity deficit from Design B is higher than that from Design A. The intensity of turbulence kinetic energy in the far wake is also higher for Design B. The effect of blade load distribution on the wind turbine axial and tangential induction factors was also investigated.

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M3 - Conference contribution

AN - SCOPUS:84937708605

T3 - 33rd Wind Energy Symposium

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PB - American Institute of Aeronautics and Astronautics Inc.

T2 - 33rd Wind Energy Symposium 2015

Y2 - 5 January 2015 through 9 January 2015

ER -

Effects of spanwise blade load distribution on wind turbine wake evolution

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