4.5 Article

Wind Turbine Wake Mitigation through Blade Pitch Offset

期刊

ENERGIES
卷 10, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/en10060757

关键词

large-eddy simulation (LES); wind turbine wake; atmospheric boundary layer (ABL); rotational actuator disk model (ADM-R); pitch offset

资金

  1. Swiss National Science Foundation [200021_172538]
  2. Swiss Federal Office of Energy [SI/501337-01]
  3. Swiss Innovation and Technology Committee (CTI) within the context of the Swiss Competence Center for Energy Research FURIES: Future Swiss Electrical Infrastructure

向作者/读者索取更多资源

The reduction in power output associated with complex turbine-wake interactions in wind farms necessitates the development of effective wake mitigation strategies. One approach to this end entails the downregulation of individual turbines from its maximum power point with the objective of optimizing the overall wind farm productivity. Downregulation via blade pitch offset has been of interest as a potential strategy, though the viability of this method is still not clear, especially in regard to its sensitivity to ambient turbulence. In this study, large-eddy simulations of a two-turbine arrangement, with the second turbine in the full wake of the first, were performed. The effects of varying the blade pitch angle of the upstream turbine on its wake characteristics, as well as the combined power of the two, were investigated. Of specific interest was the effect of turbulence intensity of the inflow on the efficacy of this method. Results showed enhanced wake recovery associated with pitching to stall, as opposed to pitching to feather, which delayed wake recovery. The increased wake recovery resulted in a noticeable increase in the power of the two-turbine configuration, only in conditions characterized by low turbulence in the incoming flow. Nevertheless, the low turbulence scenarios where the use of this method is favorable, are expected in realistic wind farms, suggesting its possible application for improved power generation.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据