Wind tunnel tests for wind turbines: A state-of-the-art review

Ruiyang He, Haiying Sun, Xiaoxia Gao, Hongxing Yang

Research output: Journal article publicationReview articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Wind turbine (WT) experiments in wind tunnels can benefit the efficient utilization of wind energy in many aspects, such as the testing of new products, the validation of numerical models, and the exploration of underlying mechanisms of WT-induced flow field. However, there is a lack of comprehensive and critical review on this topic. In this paper, necessary pre-experimental works are presented first in terms of the design process of miniature WT, scaling criteria, blockage correction, and devices and methods for measurement. In addition, the wind tunnel tests on flat and complex terrains are discussed for in-depth understanding. The dynamic wake behaviors in both near wake and far wake are reviewed with the clarification of two hypotheses of wake meandering. Careful microsite selections of WTs on complex terrain can be beneficial for the total power yields. Furthermore, special attention is paid to active yaw control to verify the potential to increase power output while mitigating structural loads. Finally, discussion on research limitations and prospects are given as avenues for future research. This study provides a comprehensive overview and in-depth discussion on WT experiments in wind tunnels, which is expected to facilitate the solution of theoretical problems in wind energy and enable more practical research.

Original languageEnglish
Article number112675
JournalRenewable and Sustainable Energy Reviews
Volume166
DOIs
Publication statusPublished - Sep 2022

Keywords

  • Complex terrain
  • Miniature wind turbine
  • Wake steering
  • Wind tunnel tests

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Fingerprint

Dive into the research topics of 'Wind tunnel tests for wind turbines: A state-of-the-art review'. Together they form a unique fingerprint.

Cite this