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A Nonlinear Wind Turbine Wake Expansion Model Considering Atmospheric Stability and Ground Effects

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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A Nonlinear Wind Turbine Wake Expansion Model Considering Atmospheric Stability and Ground Effects. / Han, Xingxing; Wang, Tongguang; Ma, Xiandong et al.
In: Energies, Vol. 17, 4503, 08.09.2024.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Han, X, Wang, T, Ma, X, Xu, C, Fu, S, Zhang, J, Xue, F & Cheng, Z 2024, 'A Nonlinear Wind Turbine Wake Expansion Model Considering Atmospheric Stability and Ground Effects', Energies, vol. 17, 4503. https://doi.org/10.3390/en17174503

APA

Han, X., Wang, T., Ma, X., Xu, C., Fu, S., Zhang, J., Xue, F., & Cheng, Z. (2024). A Nonlinear Wind Turbine Wake Expansion Model Considering Atmospheric Stability and Ground Effects. Energies, 17, Article 4503. https://doi.org/10.3390/en17174503

Vancouver

Han X, Wang T, Ma X, Xu C, Fu S, Zhang J et al. A Nonlinear Wind Turbine Wake Expansion Model Considering Atmospheric Stability and Ground Effects. Energies. 2024 Sept 8;17:4503. doi: 10.3390/en17174503

Author

Han, Xingxing ; Wang, Tongguang ; Ma, Xiandong et al. / A Nonlinear Wind Turbine Wake Expansion Model Considering Atmospheric Stability and Ground Effects. In: Energies. 2024 ; Vol. 17.

Bibtex

@article{6d890ff0a4e740f4bb6f0a6db5bf90e5,
title = "A Nonlinear Wind Turbine Wake Expansion Model Considering Atmospheric Stability and Ground Effects",
abstract = "This study investigates the influence of atmospheric stability and ground effects on wind turbine wake recovery, challenging the conventional linear relationship between turbulence intensity and wake expansion coefficient. Through comprehensive field measurements and numerical simulations, we demonstrate that the linear wake expansion assumption is invalid at far-wake locations under high turbulence conditions, primarily due to ground effects. We propose a novel nonlinear wake expansion model that incorporates both atmospheric stability and ground effects by introducing a logarithmic relationship between the wake expansion coefficient and turbulence intensity. Validation results reveal the superior prediction accuracy of the proposed model compared to typical engineering wake models, with root mean square errors of wake wind speed predictions ranging from 0.04 to 0.063. The proposed model offers significant potential for optimizing wind farm layouts and enhancing overall wind energy production efficiency.",
keywords = "Wind turbine, Nonlinear wake expansion model, Atmospheric stability, Ground effects",
author = "Xingxing Han and Tongguang Wang and Xiandong Ma and Chang Xu and Shifeng Fu and Jinmeng Zhang and Feifei Xue and Zhe Cheng",
year = "2024",
month = sep,
day = "8",
doi = "10.3390/en17174503",
language = "English",
volume = "17",
journal = "Energies",
issn = "1996-1073",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

}

RIS

TY - JOUR

T1 - A Nonlinear Wind Turbine Wake Expansion Model Considering Atmospheric Stability and Ground Effects

AU - Han, Xingxing

AU - Wang, Tongguang

AU - Ma, Xiandong

AU - Xu, Chang

AU - Fu, Shifeng

AU - Zhang, Jinmeng

AU - Xue, Feifei

AU - Cheng, Zhe

PY - 2024/9/8

Y1 - 2024/9/8

N2 - This study investigates the influence of atmospheric stability and ground effects on wind turbine wake recovery, challenging the conventional linear relationship between turbulence intensity and wake expansion coefficient. Through comprehensive field measurements and numerical simulations, we demonstrate that the linear wake expansion assumption is invalid at far-wake locations under high turbulence conditions, primarily due to ground effects. We propose a novel nonlinear wake expansion model that incorporates both atmospheric stability and ground effects by introducing a logarithmic relationship between the wake expansion coefficient and turbulence intensity. Validation results reveal the superior prediction accuracy of the proposed model compared to typical engineering wake models, with root mean square errors of wake wind speed predictions ranging from 0.04 to 0.063. The proposed model offers significant potential for optimizing wind farm layouts and enhancing overall wind energy production efficiency.

AB - This study investigates the influence of atmospheric stability and ground effects on wind turbine wake recovery, challenging the conventional linear relationship between turbulence intensity and wake expansion coefficient. Through comprehensive field measurements and numerical simulations, we demonstrate that the linear wake expansion assumption is invalid at far-wake locations under high turbulence conditions, primarily due to ground effects. We propose a novel nonlinear wake expansion model that incorporates both atmospheric stability and ground effects by introducing a logarithmic relationship between the wake expansion coefficient and turbulence intensity. Validation results reveal the superior prediction accuracy of the proposed model compared to typical engineering wake models, with root mean square errors of wake wind speed predictions ranging from 0.04 to 0.063. The proposed model offers significant potential for optimizing wind farm layouts and enhancing overall wind energy production efficiency.

KW - Wind turbine

KW - Nonlinear wake expansion model

KW - Atmospheric stability

KW - Ground effects

U2 - 10.3390/en17174503

DO - 10.3390/en17174503

M3 - Journal article

VL - 17

JO - Energies

JF - Energies

SN - 1996-1073

M1 - 4503

ER -