Technical Brief

Numerical Investigation of Wake Control Strategies for Maximizing the Power Generation of Wind Farm

[+] Author and Article Information
Miao Weipao

School of Energy and Power Engineering,
University of Shanghai for Science and Technology,
516 Jungong Road,
Yangpu District,
Shanghai 200093, China
e-mail: mwpusst@163.com

Li Chun

School of Energy and Power Engineering,
University of Shanghai for Science and Technology,
516 Jungong Road,
Yangpu District,
Shanghai 200093, China

Yang Jun

School of Energy and Power Engineering,
University of Shanghai for Science and Technology,
516 Jungong Road,
Yangpu District,
Shanghai 200093, China;
Laboratory of Fluid and Power Machinery,
Xihua University,
Jinniu District,
Sichuan 610000, China
e-mail: sandy198716@163.com

Yang Yang

School of Energy and Power Engineering,
University of Shanghai for Science and Technology,
516 Jungong Road,
Yangpu District,
Shanghai 200093, China
e-mail: 15216702797@163.com

Xie Xiaoyun

Shanghai Behr Thermal Systems Co.,
355 Longqiao Road,
Pudong District,
Shanghai 201206, China
e-mail: xxysbts@163.com

1Corresponding author.

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received July 26, 2015; final manuscript received March 14, 2016; published online April 5, 2016. Assoc. Editor: Yves Gagnon.

J. Sol. Energy Eng 138(3), 034501 (Apr 05, 2016) (7 pages) Paper No: SOL-15-1231; doi: 10.1115/1.4033110 History: Received July 26, 2015; Revised March 14, 2016

In order to maximize the total power generation of a wind farm, several control strategies based on tilt angle, yaw angle, and cone angle were investigated numerically using computational fluid dynamics (CFD) simulation. The full rotor model (FRM) of 5 MW wind turbine was used to simulate the wake in the wind farm. According to the comparison of different cases' power generations and velocity fields, the result indicates that appropriate strategies based on tilt angle and positive yaw angle have effective improvements on the power output of whole wind farm, but changing cone angle and opposite yaw angle result in negative effects.

Copyright © 2016 by ASME
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Fig. 1

The 5 MW wind turbine model

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Fig. 2

The strategies for wind farm's power optimization. (a) Positive yaw adjustment, (b) negative yaw adjustment, (c) tilt adjustment, and (d) cone adjustment.

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Fig. 3

The dimensions of wind farm and mesh refinement regions: (a) Top view and (b) cross section A-A′

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Fig. 13

Comparison of the max turbulence intensities in the wake

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Fig. 12

The velocity contours and wake centerlines in the cases with different control strategies: (a) Baseline, (b) 15 deg tilt, (c) 30 deg yaw, (d) −30 deg yaw, and (e) 7.5 deg cone

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Fig. 11

The Gaussian fitting used for defining wake center

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Fig. 9

The horizontal velocity profiles in different sections: (a) Baseline, (b) 15 deg tilt, (c) 30 deg yaw, (d) −30 deg yaw, and (e) 7.5 deg cone

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Fig. 10

The comparison of vertical velocity profiles in different cases from section x/D = −1 to section x/D = 8

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Fig. 8

Comparison of two wind turbines' power change in different cases

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Fig. 7

Power outputs of two wind turbines in the baseline case

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Fig. 6

The boundary conditions of wind farm

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Fig. 5

The wall y+ of two turbines

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Fig. 4

Grid distribution of the rotational part



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