Open AccessSuper-large-scale flow visualization using natural snowfall for the study of utility-scale wind turbine flows
Author(s) -
Aliza Abraham,
Jiarong Hong
Publication year - 2021
Publication title -
international symposium on particle image velocimetry.
Language(s) - English
Resource type - Journals
ISSN - 2769-7576
DOI - 10.18409/ispiv.v1i1.132
Subject(s) - turbine , environmental science , wind power , marine engineering , meteorology , scale (ratio) , flow (mathematics) , boundary layer , turbine blade , lidar , flow visualization , range (aeronautics) , visualization , planetary boundary layer , aerospace engineering , computer science , geology , engineering , remote sensing , mechanical engineering , geography , mechanics , cartography , physics , electrical engineering
With the rapid growth of wind turbine installation in recent decades, fundamental physical understanding of the flow around wind turbines and farms is becoming increasingly critical for further efficiency increases. However, the effort to develop this understanding is hindered by the significant challenges involved in modelling such a complex dynamic system with a wide range of relevant scales (blade boundary layer thickness at ∼ 1 mm to atmospheric scales at ∼ 1 km). Additionally, conventional methods used to measure air flow around wind turbines in the field (e.g., lidar) are limited by low spatio-temporal resolutions.