4.7 Article

Aerodynamic analysis of side-by-side placed twin vertical-axis wind turbines

期刊

OCEAN ENGINEERING
卷 209, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.oceaneng.2020.107296

关键词

Twin vertical-axis wind turbine system; Turbine power coefficient; CFD; Gap ratio; Azimuth angle shift

资金

  1. Qingdao National Laboratory for Marine Science and Technology, China [QNLM2016ORP0402]
  2. Defense Industrial Technology Development Program, China [SXJQR2018 WDKT02]
  3. State Key Laboratory of Structural Analysis for Industrial Equipment, China [S18408]
  4. National Natural Science Foundation of China [51975032, 51939003]

向作者/读者索取更多资源

The twin vertical-axis wind turbine (VAWT) system is a high-performance design in which two turbines are placed side by side with a variable gap distance. In this paper, the large eddy simulation and the sliding mesh technique are employed to numerically study the aerodynamic performance of the dual-rotor configuration. First, the reliability of this CFD model is validated, including computational stability analysis, time-step dependency study, and grid convergence verification. The turbine power coefficients under different tip speed ratios are calculated and results exhibit a satisfactory agreement with the available experimental data. Then, the wind energy utilization of side-by-side placed twin VAWTs under different gap ratios and various azimuth angle shifts are investigated, respectively. The results reveal that compared with two isolated turbines, the power coefficient of a twin-turbine system has a significant enhancement. Moreover, the paper analyzes the mechanism for obtaining gains. In regard to the study of azimuth angle shifts between two adjacent turbines, this paper demonstrates that the blade azimuth angles of twin VAWTs do not need to be synchronized. The azimuth angle shift has little effect on the aerodynamic performance of the twin-turbine system.

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

4.7
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