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Hydrodynamic measurement data set characterising the wake behind a single and various twin vertical axis turbines

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<p>The wake characteristics behind a single vertical axis turbine (VAT) and a range of twin turbine configurations, separated by two lateral spacings (Sy) and rotating in various rotational directions, were characterised using small-scale laboratory experiments at the Hydro-Environmental Research Centre at Cardiff University. Analysed configurations include:</p><ul><li>Approach flow</li><li>Single VAT (SVAT)</li><li>Twin VAT – same rotational direction, Sy=1.5D</li><li>Twin VAT – same rotational direction, Sy=2D</li><li>Twin VAT – counter rotating forward, Sy=1.5D</li><li>Twin VAT – counter rotating forward, Sy=2D</li><li>Twin VAT – counter rotating backward, Sy=1.5D</li><li>Twin VAT – counter rotating backward, Sy=2D</li></ul><p>with D being the turbine diameter (D=0.12m).</p><p>Hydrodynamics were measured using acoustic Doppler velocimetry for 9 cross-sections (y-z plane) in downstream direction (x/D=1,1.5,2,3,4,5,6,8,10D), comprising of 12-14 velocity profiles in lateral direction and 20 measurement points in vertical direction. Additional, upstream flow conditions were measured approximately 1m upstream of the turbine (x/D=-8.33) for six velocity profiles.</p><p>The data set comprises of eight excel files, i.e., one per tested configurations, presenting first and second order hydrodynamic statistic for each measurement positions.<br></p><p>Research results based upon these data are published at https://doi.org/10.1016/j.enconman.2021.114768<br></p><p><br></p>

Funding

Impact of leaky barriers and hydrokinetic turbines on channel hydrodynamics and fish movement (2018-01-01 - 2021-12-31); Müller, Stephanie. Funder: Engineering and Physical Sciences Research Council

DTP 2016-17 Cardiff University (2016-10-01 - 2021-09-30); Phillips, Rhian. Funder: Engineering and Physical Sciences Research Council

History

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MS excel, Libre Office

Language(s) in dataset

  • English-Great Britain (EN-GB)

Data-collection start date

2019-06-03

Data-collection end date

2020-12-04

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