Wake-based wind turbine optimisations under yawed conditions

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

Wake-based wind turbine optimisations under yawed conditions

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

Mechanical and Construction Engineering

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

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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	2022 7th International Conference on Environment Friendly Energies and Applications (EFEA)
Subtitle of host publication	Renewable and Sustainable Energy Systems, Hybrid Transportation Systems, Energy Transition, and Energy Security
Place of Publication	Online
Publisher	IEEE
Pages	1-5
Number of pages	5
Edition	7th
ISBN (Electronic)	9798350333213
ISBN (Print)	9798350333220
Publication status	E-pub ahead of print - 17 Mar 2023
Event	7th International Conference on Environment Friendly Energies and Applications, EFEA 2022 - Bagatelle Moka MU, Mauritius Duration: 14 Dec 2022 → 16 Dec 2022

Publication series

Name	Environment Friendly Energies and Applications (EFEA)
Publisher	IEEE Xplore
Number	7
ISSN (Print)	2641-5925
ISSN (Electronic)	2688-2558

Conference

Conference	7th International Conference on Environment Friendly Energies and Applications, EFEA 2022
Country/Territory	Mauritius
City	Bagatelle Moka MU
Period	14/12/22 → 16/12/22

Access to Document

Cite this

Cao, J., Gao, X., Shen, X., Sun, H., & Ju, Y. (2023). Wake-based wind turbine optimisations under yawed conditions. In 2022 7th International Conference on Environment Friendly Energies and Applications (EFEA): Renewable and Sustainable Energy Systems, Hybrid Transportation Systems, Energy Transition, and Energy Security (7th ed., pp. 1-5). (Environment Friendly Energies and Applications (EFEA); No. 7). IEEE.

Cao, Jiufa ; Gao, Xiang ; Shen, Xiang et al. / Wake-based wind turbine optimisations under yawed conditions. 2022 7th International Conference on Environment Friendly Energies and Applications (EFEA): Renewable and Sustainable Energy Systems, Hybrid Transportation Systems, Energy Transition, and Energy Security. 7th. ed. Online : IEEE, 2023. pp. 1-5 (Environment Friendly Energies and Applications (EFEA); 7).

@inproceedings{3572ecf07aba4d06b07fc2ab167ea3a5,

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",

month = mar,

day = "17",

language = "English",

isbn = "9798350333220",

series = "Environment Friendly Energies and Applications (EFEA)",

publisher = "IEEE",

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

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Cao, J, Gao, X, Shen, X, Sun, H & Ju, Y 2023, Wake-based wind turbine optimisations under yawed conditions. in 2022 7th International Conference on Environment Friendly Energies and Applications (EFEA): Renewable and Sustainable Energy Systems, Hybrid Transportation Systems, Energy Transition, and Energy Security. 7th edn, Environment Friendly Energies and Applications (EFEA), no. 7, IEEE, Online, pp. 1-5, 7th International Conference on Environment Friendly Energies and Applications, EFEA 2022, Bagatelle Moka MU, Mauritius, 14/12/22.

Wake-based wind turbine optimisations under yawed conditions. / Cao, Jiufa; Gao, Xiang; Shen, Xiang et al.

2022 7th International Conference on Environment Friendly Energies and Applications (EFEA): Renewable and Sustainable Energy Systems, Hybrid Transportation Systems, Energy Transition, and Energy Security. 7th. ed. Online : IEEE, 2023. p. 1-5 (Environment Friendly Energies and Applications (EFEA); No. 7).

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

PY - 2023/3/17

Y1 - 2023/3/17

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

M3 - Conference contribution

SN - 9798350333220

T3 - Environment Friendly Energies and Applications (EFEA)

SP - 1

EP - 5

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

PB - IEEE

CY - Online

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

Y2 - 14 December 2022 through 16 December 2022

ER -

Cao J, Gao X, Shen X, Sun H, Ju Y. Wake-based wind turbine optimisations under yawed conditions. In 2022 7th International Conference on Environment Friendly Energies and Applications (EFEA): Renewable and Sustainable Energy Systems, Hybrid Transportation Systems, Energy Transition, and Energy Security. 7th ed. Online: IEEE. 2023. p. 1-5. (Environment Friendly Energies and Applications (EFEA); 7).