Investigation of modified AD/RANS models for wind turbine wake predictions in large wind farm

Lin Lin Tian; Wei Jun Zhu; Wen Zhong Shen; Jens Nørkær Sørensen; N. Zhao

doi:10.1088/1742-6596/524/1/012151

Investigation of modified AD/RANS models for wind turbine wake predictions in large wind farm

Lin Lin Tian, Wei Jun Zhu, Wen Zhong Shen, Jens Nørkær Sørensen, N. Zhao

Nanjing University of Aeronautics and Astronautics

Research output: Contribution to journal › Conference article › Research › peer-review

331 Downloads (Pure)

Abstract

Average power losses due to multiple wind turbine wakes in the large offshore wind farm is studied in this paper using properly modified k-ω SST turbulence models. The numerical simulations are carried out by the actuator disc methodology implemented in the flow solver EllipSys3D. In these simulations, the influence of different inflow conditions such as wind direction sectors are considered and discussed. Comparisons with measurements in terms of wake speed ratio and the corresponding power outputs show that the modified turbulence models had significant improvements; especially the SST-Csust model reflects the best ability in predicting the wake defect. The investigations of various inflow angles reveal that the agreement between predicted and measured data is improved for the wider sector case than the narrow case because of the wind direction uncertainty.

Original language	English
Article number	012151
Book series	Journal of Physics: Conference Series (Online)
Volume	524
Issue number	1
Number of pages	10
ISSN	1742-6596
DOIs	https://doi.org/10.1088/1742-6596/524/1/012151
Publication status	Published - 2014
Event	5th International Conference on The Science of Making Torque from Wind 2014 - Technical University of Denmark, Copenhagen, Denmark Duration: 10 Jun 2014 → 20 Jun 2014 Conference number: 5 http://indico.conferences.dtu.dk/conferenceDisplay.py?confId=138

Conference

Conference	5th International Conference on The Science of Making Torque from Wind 2014
Number	5
Location	Technical University of Denmark
Country/Territory	Denmark
City	Copenhagen
Period	10/06/2014 → 20/06/2014
Internet address	http://indico.conferences.dtu.dk/conferenceDisplay.py?confId=138

Bibliographical note

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd

Access to Document

10.1088/1742-6596/524/1/012151

Investigation of modified AD RANSFinal published version, 1.02 MB

OpenUrl availability

Full text

Cite this

@inproceedings{8a39cb359f654bc482cc6b7633ca456d,

title = "Investigation of modified AD/RANS models for wind turbine wake predictions in large wind farm",

abstract = "Average power losses due to multiple wind turbine wakes in the large offshore wind farm is studied in this paper using properly modified k-ω SST turbulence models. The numerical simulations are carried out by the actuator disc methodology implemented in the flow solver EllipSys3D. In these simulations, the influence of different inflow conditions such as wind direction sectors are considered and discussed. Comparisons with measurements in terms of wake speed ratio and the corresponding power outputs show that the modified turbulence models had significant improvements; especially the SST-Csust model reflects the best ability in predicting the wake defect. The investigations of various inflow angles reveal that the agreement between predicted and measured data is improved for the wider sector case than the narrow case because of the wind direction uncertainty.",

author = "Tian, {Lin Lin} and Zhu, {Wei Jun} and Shen, {Wen Zhong} and S{\o}rensen, {Jens N{\o}rk{\ae}r} and N. Zhao",

note = "Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd; 5th International Conference on The Science of Making Torque from Wind 2014, TORQUE 2014 ; Conference date: 10-06-2014 Through 20-06-2014",

year = "2014",

doi = "10.1088/1742-6596/524/1/012151",

language = "English",

volume = "524",

journal = "Journal of Physics: Conference Series (Online)",

issn = "1742-6596",

publisher = "IOP Publishing",

number = "1",

url = "http://indico.conferences.dtu.dk/conferenceDisplay.py?confId=138",

}

TY - GEN

T1 - Investigation of modified AD/RANS models for wind turbine wake predictions in large wind farm

AU - Tian, Lin Lin

AU - Zhu, Wei Jun

AU - Shen, Wen Zhong

AU - Sørensen, Jens Nørkær

AU - Zhao, N.

N1 - Conference code: 5

PY - 2014

Y1 - 2014

N2 - Average power losses due to multiple wind turbine wakes in the large offshore wind farm is studied in this paper using properly modified k-ω SST turbulence models. The numerical simulations are carried out by the actuator disc methodology implemented in the flow solver EllipSys3D. In these simulations, the influence of different inflow conditions such as wind direction sectors are considered and discussed. Comparisons with measurements in terms of wake speed ratio and the corresponding power outputs show that the modified turbulence models had significant improvements; especially the SST-Csust model reflects the best ability in predicting the wake defect. The investigations of various inflow angles reveal that the agreement between predicted and measured data is improved for the wider sector case than the narrow case because of the wind direction uncertainty.

AB - Average power losses due to multiple wind turbine wakes in the large offshore wind farm is studied in this paper using properly modified k-ω SST turbulence models. The numerical simulations are carried out by the actuator disc methodology implemented in the flow solver EllipSys3D. In these simulations, the influence of different inflow conditions such as wind direction sectors are considered and discussed. Comparisons with measurements in terms of wake speed ratio and the corresponding power outputs show that the modified turbulence models had significant improvements; especially the SST-Csust model reflects the best ability in predicting the wake defect. The investigations of various inflow angles reveal that the agreement between predicted and measured data is improved for the wider sector case than the narrow case because of the wind direction uncertainty.

U2 - 10.1088/1742-6596/524/1/012151

DO - 10.1088/1742-6596/524/1/012151

M3 - Conference article

SN - 1742-6596

VL - 524

JO - Journal of Physics: Conference Series (Online)

JF - Journal of Physics: Conference Series (Online)

IS - 1

M1 - 012151

T2 - 5th International Conference on The Science of Making Torque from Wind 2014

Y2 - 10 June 2014 through 20 June 2014

ER -

Investigation of modified AD/RANS models for wind turbine wake predictions in large wind farm

Abstract

Conference

Bibliographical note

Access to Document

OpenUrl availability

Fingerprint

Cite this