Optimization of Aerodynamic Power of Three Wind Turbines in Turbulent Wind Farm

[Objective] In the context of global energy structure transformation and climate change response, wind energy, as one of the clean and renewable energy sources, the optimization of its utilization efficiency has become the focus of current research in the energy field. In order to reduce the influence of the wake effect between wind turbines on the output power of wind farms and improve the efficiency of wind farms, it is necessary to carry out a reasonable layout of wind turbines. [Method] Using Fast Farm simulation technology, the effects of changing the wind turbine spacing on the power and its improvement rate of three NREL 5 MW turbines in a turbulent wind farm under tandem and staggered arrangements were studied. [Result] When the spacing between turbines increases, the output power of the rear turbines can be significantly improved, but the degree of improvement is different, in which when the longitudinal spacing of the turbines is increased from 5D to 6D and from 10D to 11D, the power generation of the wind farm can be greatly improved. A reasonable range of values for the lateral spacing between wind turbines is derived, which allows for an optimal layout of the wind farm. [Conclusion] In this paper, the spacing between wind turbines is divided in more detail, and through the analysis of the degree of impact on the power of wind farms under different conditions, it can be seen that there are differences in the optimization of the layout of the wind turbine under the conditions of series and staggered rows, which provides a certain reference for the optimization of the layout of wind farms.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-01-01
DOI
https://doi.org/10.16516/j.ceec.2024-267
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
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article

Optimization of Aerodynamic Power of Three Wind Turbines in Turbulent Wind Farm

SHILAP Revista de lepidopterología
Wind Energy Research and Development
article

Optimization of Aerodynamic Power of Three Wind Turbines in Turbulent Wind Farm

article en

Abstract

[Objective] In the context of global energy structure transformation and climate change response, wind energy, as one of the clean and renewable energy sources, the optimization of its utilization efficiency has become the focus of current research in the energy field. In order to reduce the influence of the wake effect between wind turbines on the output power of wind farms and improve the efficiency of wind farms, it is necessary to carry out a reasonable layout of wind turbines. [Method] Using Fast Farm simulation technology, the effects of changing the wind turbine spacing on the power and its improvement rate of three NREL 5 MW turbines in a turbulent wind farm under tandem and staggered arrangements were studied. [Result] When the spacing between turbines increases, the output power of the rear turbines can be significantly improved, but the degree of improvement is different, in which when the longitudinal spacing of the turbines is increased from 5D to 6D and from 10D to 11D, the power generation of the wind farm can be greatly improved. A reasonable range of values for the lateral spacing between wind turbines is derived, which allows for an optimal layout of the wind farm. [Conclusion] In this paper, the spacing between wind turbines is divided in more detail, and through the analysis of the degree of impact on the power of wind farms under different conditions, it can be seen that there are differences in the optimization of the layout of the wind turbine under the conditions of series and staggered rows, which provides a certain reference for the optimization of the layout of wind farms.

SHILAP Revista de lepidopterología
Xiangtan University (CN)
Affordable and clean energy
Openalex Percentile: Top 47%
Wind Energy Research and Development
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Optimization of Aerodynamic Power of Three Wind Turbines in Turbulent Wind Farm · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS