Literature DB >> 24960397

Natural snowfall reveals large-scale flow structures in the wake of a 2.5-MW wind turbine.

Jiarong Hong1, Mostafa Toloui1, Leonardo P Chamorro2, Michele Guala3, Kevin Howard3, Sean Riley4, James Tucker5, Fotis Sotiropoulos3.   

Abstract

To improve power production and structural reliability of wind turbines, there is a pressing need to understand how turbines interact with the atmospheric boundary layer. However, experimental techniques capable of quantifying or even qualitatively visualizing the large-scale turbulent flow structures around full-scale turbines do not exist today. Here we use snowflakes from a winter snowstorm as flow tracers to obtain velocity fields downwind of a 2.5-MW wind turbine in a sampling area of ~36 × 36 m(2). The spatial and temporal resolutions of the measurements are sufficiently high to quantify the evolution of blade-generated coherent motions, such as the tip and trailing sheet vortices, identify their instability mechanisms and correlate them with turbine operation, control and performance. Our experiment provides an unprecedented in situ characterization of flow structures around utility-scale turbines, and yields significant insights into the Reynolds number similarity issues presented in wind energy applications.

Year:  2014        PMID: 24960397     DOI: 10.1038/ncomms5216

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  1 in total

1.  Wake characteristics of a freely rotating bioinspired swept rotor blade.

Authors:  Asif Shahriar Nafi; Krishnamoorthy Krishnan; Anup K Debnath; Erin E Hackett; Roi Gurka
Journal:  R Soc Open Sci       Date:  2021-07-07       Impact factor: 2.963

  1 in total

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