A Numerical Investigation of the Influence of the Wake for Mixed Layout Wind Turbines in Wind Farms Using FLORIS

A common retrofitting method for wind farms is the replacement of low-power turbines with high-power ones. The determination of the optimal replacement sequence for the purpose of maximizing revenue is a significant challenge. This paper employs a combination of FLORIS and a sequencing algorithm to simulate the power output resulting from the replacement of 1.5 MW small turbines with 5 MW large turbines. This study demonstrates that the optimal strategy for maximizing the overall power output is to replace the turbines in the first column. When the turbines situated in the first column have already undergone replacement or are unable to be replaced due to the characteristics of the terrain, it would be prudent to prioritize those in the final column. In the case of staggered arrangements, priority should be given to diagonal points that do not have turbines situated behind them. In the case of replacing the same number of large wind turbines, the preferred replacement option has a minimal impact on the power output of the existing small wind turbines, with an estimated reduction of 0.67%. This effectively enhances the economic efficiency of wind farm renovation.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2024-09-28
DOI
https://doi.org/10.3390/jmse12101714
Citations
6
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
7.79
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article

A Numerical Investigation of the Influence of the Wake for Mixed Layout Wind Turbines in Wind Farms Using FLORIS

Wenxin Tian, Jiawei Wan, Lingchun Liu, Yuze Zhao et al.
6 citations
Journal of Marine Science and Engineering
Wind Energy Research and Development
7.79
article

A Numerical Investigation of the Influence of the Wake for Mixed Layout Wind Turbines in Wind Farms Using FLORIS

Wenxin Tian, Jiawei Wan, Lingchun Liu, Yuze Zhao, Lidong Zhang, Xiuyong Zhao, Fulong Wei
article en
6 citations

Abstract

A common retrofitting method for wind farms is the replacement of low-power turbines with high-power ones. The determination of the optimal replacement sequence for the purpose of maximizing revenue is a significant challenge. This paper employs a combination of FLORIS and a sequencing algorithm to simulate the power output resulting from the replacement of 1.5 MW small turbines with 5 MW large turbines. This study demonstrates that the optimal strategy for maximizing the overall power output is to replace the turbines in the first column. When the turbines situated in the first column have already undergone replacement or are unable to be replaced due to the characteristics of the terrain, it would be prudent to prioritize those in the final column. In the case of staggered arrangements, priority should be given to diagonal points that do not have turbines situated behind them. In the case of replacing the same number of large wind turbines, the preferred replacement option has a minimal impact on the power output of the existing small wind turbines, with an estimated reduction of 0.67%. This effectively enhances the economic efficiency of wind farm renovation.

Journal of Marine Science and EngineeringVol. 12(10)
Tianjin University (CN), Northeast Electric Power University (CN), China Energy Science and Technology Research Institute Co., Ltd. (China)
Affordable and clean energy
Openalex Percentile: Top 3%
Wind Energy Research and Development
7.79
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A Numerical Investigation of the Influence of the Wake for Mixed Layout Wind Turbines in Wind Farms Using FLORIS — Wenxin Tian, Jiawei Wan, et al. · Journal of Marine Science and Engineering (2024) | TGRS Research Map | TGRS