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

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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:

  • Approach flow
  • Single VAT (SVAT)
  • Twin VAT – same rotational direction, Sy=1.5D
  • Twin VAT – same rotational direction, Sy=2D
  • Twin VAT – counter rotating forward, Sy=1.5D
  • Twin VAT – counter rotating forward, Sy=2D
  • Twin VAT – counter rotating backward, Sy=1.5D
  • Twin VAT – counter rotating backward, Sy=2D

with D being the turbine diameter (D=0.12m).

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.

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.

Research results based upon these data are published at https://doi.org/10.1016/j.enconman.2021.114768


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

Specialist software required to view data files

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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    School of Engineering

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