Wake-based wind turbine optimisations under yawed conditions

Jiufa Cao; Xiang Gao; Xiang Shen; Haoyuan Sun; Yi Ju

doi:10.1109/EFEA56675.2022.10063800

Wake-based wind turbine optimisations under yawed conditions

Jiufa Cao
, Xiang Gao
, Xiang Shen
, Haoyuan Sun
, Yi Ju

Yangzhou University
Northumbria University
Windpower Equipment Co. Ltd

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The yawed wind turbines in the upstream can be used to reduce wake losses for the downstream wind turbines. Accurate prediction for the wake aerodynamics performance under yawed operation condition is of significant importance for such a controlling strategy. In the present paper, an improved engineering wake model considering yawed conditions is implemented to simulate the wakes behind yawed wind turbines. Firstly, an improved engineering yaw model is utilized to simulate the wakes under yawed conditions. The improved wake model is based on the unsteady Blade Element Momentum (BEM) method with the induction factor and thrust coefficient as key parameters. Secondly, based on genetic algorithm optimization method, the yawed angles control optimization platform is built with wake model of wind turbine. Finally, the loads and aerodynamic performance are analyzed under optimal yawed angles of multi-wind turbine. The results showed that the improved engineering yawed model and yaw control strategy can be accurately and efficiently utilized in enhancing the wake velocity and aerodynamic performance of the yawed wind turbine.

Original language	English
Title of host publication	Proceedings of 2022 7th International Conference on Environment Friendly Energies and Applications (EFEA)
Number of pages	5
Publisher	IEEE
Publication date	2023
ISBN (Electronic)	979-8-3503-3321-3
DOIs	https://doi.org/10.1109/EFEA56675.2022.10063800
Publication status	Published - 2023
Event	2022 7th International Conference on Environment Friendly Energies and Applications - Bagatelle Moka MU, Mauritius Duration: 14 Dec 2022 → 16 Dec 2022 Conference number: 7

Conference

Conference	2022 7th International Conference on Environment Friendly Energies and Applications
Number	7
Country/Territory	Mauritius
City	Bagatelle Moka MU
Period	14/12/2022 → 16/12/2022

Series	2022 7th International Conference on Environment Friendly Energies and Applications (efea)
ISSN	2688-2558

Keywords

Wind turbine
Wake model
Yawed operation condition
Optimization

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10.1109/EFEA56675.2022.10063800

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@inproceedings{4d5b2ae0dc1b44388482ae4b789b4bb2,

title = "Wake-based wind turbine optimisations under yawed conditions",

abstract = "The yawed wind turbines in the upstream can be used to reduce wake losses for the downstream wind turbines. Accurate prediction for the wake aerodynamics performance under yawed operation condition is of significant importance for such a controlling strategy. In the present paper, an improved engineering wake model considering yawed conditions is implemented to simulate the wakes behind yawed wind turbines. Firstly, an improved engineering yaw model is utilized to simulate the wakes under yawed conditions. The improved wake model is based on the unsteady Blade Element Momentum (BEM) method with the induction factor and thrust coefficient as key parameters. Secondly, based on genetic algorithm optimization method, the yawed angles control optimization platform is built with wake model of wind turbine. Finally, the loads and aerodynamic performance are analyzed under optimal yawed angles of multi-wind turbine. The results showed that the improved engineering yawed model and yaw control strategy can be accurately and efficiently utilized in enhancing the wake velocity and aerodynamic performance of the yawed wind turbine.",

keywords = "Wind turbine, Wake model, Yawed operation condition, Optimization",

author = "Jiufa Cao and Xiang Gao and Xiang Shen and Haoyuan Sun and Yi Ju",

year = "2023",

doi = "10.1109/EFEA56675.2022.10063800",

language = "English",

series = "2022 7th International Conference on Environment Friendly Energies and Applications (efea)",

booktitle = "Proceedings of 2022 7th International Conference on Environment Friendly Energies and Applications (EFEA)",

publisher = "IEEE",

address = "United States",

note = "2022 7th International Conference on Environment Friendly Energies and Applications, EFEA ; Conference date: 14-12-2022 Through 16-12-2022",

}

Cao, J, Gao, X, Shen, X, Sun, H & Ju, Y 2023, Wake-based wind turbine optimisations under yawed conditions. in Proceedings of 2022 7th International Conference on Environment Friendly Energies and Applications (EFEA). IEEE, 2022 7th International Conference on Environment Friendly Energies and Applications (efea), 2022 7th International Conference on Environment Friendly Energies and Applications, Bagatelle Moka MU, Mauritius, 14/12/2022. https://doi.org/10.1109/EFEA56675.2022.10063800

Wake-based wind turbine optimisations under yawed conditions. / Cao, Jiufa; Gao, Xiang; Shen, Xiang et al.
Proceedings of 2022 7th International Conference on Environment Friendly Energies and Applications (EFEA). IEEE, 2023. (2022 7th International Conference on Environment Friendly Energies and Applications (efea)).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Wake-based wind turbine optimisations under yawed conditions

AU - Cao, Jiufa

AU - Gao, Xiang

AU - Shen, Xiang

AU - Sun, Haoyuan

AU - Ju, Yi

N1 - Conference code: 7

PY - 2023

Y1 - 2023

N2 - The yawed wind turbines in the upstream can be used to reduce wake losses for the downstream wind turbines. Accurate prediction for the wake aerodynamics performance under yawed operation condition is of significant importance for such a controlling strategy. In the present paper, an improved engineering wake model considering yawed conditions is implemented to simulate the wakes behind yawed wind turbines. Firstly, an improved engineering yaw model is utilized to simulate the wakes under yawed conditions. The improved wake model is based on the unsteady Blade Element Momentum (BEM) method with the induction factor and thrust coefficient as key parameters. Secondly, based on genetic algorithm optimization method, the yawed angles control optimization platform is built with wake model of wind turbine. Finally, the loads and aerodynamic performance are analyzed under optimal yawed angles of multi-wind turbine. The results showed that the improved engineering yawed model and yaw control strategy can be accurately and efficiently utilized in enhancing the wake velocity and aerodynamic performance of the yawed wind turbine.

AB - The yawed wind turbines in the upstream can be used to reduce wake losses for the downstream wind turbines. Accurate prediction for the wake aerodynamics performance under yawed operation condition is of significant importance for such a controlling strategy. In the present paper, an improved engineering wake model considering yawed conditions is implemented to simulate the wakes behind yawed wind turbines. Firstly, an improved engineering yaw model is utilized to simulate the wakes under yawed conditions. The improved wake model is based on the unsteady Blade Element Momentum (BEM) method with the induction factor and thrust coefficient as key parameters. Secondly, based on genetic algorithm optimization method, the yawed angles control optimization platform is built with wake model of wind turbine. Finally, the loads and aerodynamic performance are analyzed under optimal yawed angles of multi-wind turbine. The results showed that the improved engineering yawed model and yaw control strategy can be accurately and efficiently utilized in enhancing the wake velocity and aerodynamic performance of the yawed wind turbine.

KW - Wind turbine

KW - Wake model

KW - Yawed operation condition

KW - Optimization

U2 - 10.1109/EFEA56675.2022.10063800

DO - 10.1109/EFEA56675.2022.10063800

M3 - Article in proceedings

T3 - 2022 7th International Conference on Environment Friendly Energies and Applications (efea)

BT - Proceedings of 2022 7th International Conference on Environment Friendly Energies and Applications (EFEA)

PB - IEEE

T2 - 2022 7th International Conference on Environment Friendly Energies and Applications

Y2 - 14 December 2022 through 16 December 2022

ER -

Wake-based wind turbine optimisations under yawed conditions

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Conference

Keywords

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