READ ME File For 'Dataset supporting PhD thesis titled: "Design and performance evaluation of a variable-diameter vertical axis wind turbine'

Dataset DOI: 10.5258/SOTON/D3874

ReadMe Author: Ken Yeen Lee, University of Southampton

This dataset supports the thesis entitled 
AWARDED BY: University of Southampton
DATE OF AWARD: 2026


Dataset DOI: 10.5258/SOTON/D3874

Date that the file was created: February, 2026

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GENERAL INFORMATION
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ReadMe Author: Ken Yeen Lee, University of Southampton

Information about geographic location of data collection: University of Southampton, UK/MY

Related projects:
DESIGN AND PERFORMANCE EVALUATION OF A VARIABLE-DIAMETER VERTICAL AXIS WIND TURBINE, PhD Thesis 

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SHARING/ACCESS INFORMATION
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Licenses/restrictions placed on the data, or limitations of reuse:

Recommended citation for the data:

This dataset supports the publication:
AUTHORS:Ken-Yeen Lee, Andrew Cruden, Jo-Han Ng, Kok-Hoe Wong
TITLE:Maximizing efficiency with active diameter modulation of vertical axis wind turbine
JOURNAL:Sustainable Energy Technologies and Assessments
PAPER DOI IF KNOWN:https://doi.org/10.1016/j.seta.2025.104363

AUTHORS:Ken-Yeen Lee, Andrew Cruden, Jo-Han Ng, Kok-Hoe Wong
TITLE:The effects of inertia on a straight-bladed vertical axis wind turbine
JOURNAL:IOP Conference Series: Earth and Environmental Science
PAPER DOI IF KNOWN: 10.1088/1755-1315/1500/1/012005


AUTHORS:Ken-Yeen Lee, Andrew Cruden, Jo-Han Ng, Kok-Hoe Wong
TITLE:Experimental investigation into solidity of straight bladed VAWT
JOURNAL:IOP Conference Series: Earth and Environmental Science
PAPER DOI IF KNOWN: 10.1088/1755-1315/1560/1/012048


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DATA & FILE OVERVIEW
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This dataset contains:

'3D_CAD_Drawings_of_VAWT(Chapter3)', 3D CAD drawings of the VD-VAWT and VAWT
'Experimental_Data(Chapter4)', Experimental data raw and processed with excel. 
'VAWT_mesh(Chapter5)', Mesh files of all the simualtion cases used in this PhD research. 
'Sim_Data(Chapter5)', Simulation data collected from ANSYS FLUENT 2024 software.


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METHODOLOGICAL INFORMATION
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Description of methods used for collection/generation of data: Wind turbine experimental data and simulated data from ANSYS 2024 R2. 

Methods for processing the data:

The data deposited consists of exprimental and simualted data. Experimental Data was collected from wind tunnel experiments from a torque transducer mesuring RPM, torque (mNm) ad timesteps. 
The simulated data was collected from CFD studies using ANSYS FLUENT 2024. The CFD model uses an overset meshing method. 

Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: 

ANSYS FLUENT 2024, SolidWorks 2024, FUTEK FSH02053/TRS605, FSH03944/USB520 encoder maximum sampling rate of 4800 samples per second and featuring a 24-bit internal resolution, SENSIT Test and Measurement software (Version 2.6.1.0)

Standards and calibration information, if appropriate:

Environmental/experimental conditions: Openloop subsonic wind tunnel, wind velocity of 5.61 m/s, turbulence intensity of 3.16%. 

Describe any quality-assurance procedures performed on the data: Data was collected every 0.001s and repeated 3 times for each case. The data was then averaged from the 3 repeats. 

People involved with sample collection, processing, analysis and/or submission: Ken-Yeen Lee (33318062)