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

Citation
Müller S, Muhawenimana V, Lazennec MV, et al.  (2021). Hydrodynamic measurement data set characterising the wake behind a single and various twin vertical axis turbines. Cardiff University. https://doi.org/10.17035/d.2021.0134567672

Dataset Details

Publisher: Cardiff University

Date (year) of data becoming publicly available: 2021

Coverage start date: 03/06/2019

Coverage end date: 04/12/2020

Data format: xlsx

Software Required: MS excel, Libre Office

Estimated total storage size of dataset: Less than 100 megabytes

Number of Files In Dataset: 8

DOI : 10.17035/d.2021.0134567672

DOI URL: http://doi.org/10.17035/d.2021.0134567672

Description

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