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Transactions on Engineering Technologies pp 223–238Cite as

Visualising Dynamic Stall Around a Vertical Axis Wind Turbine Blade Through Particle Image Velocimetry

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Abstract

The vertical axis wind turbine aerodynamics are highly complex and unsteady. Inherent in the operation of VAWTs is the presence of the dynamic stall phenomenon that has a major influence in the overall performance of the rotor. The acquisition of a reliable experimental flow field data set presents a means to increase the level of understanding of VAWT performance and flow physics through visualisations. The method developed in this study includes the setup of the PIV system in the wind tunnel, surface treatment of the VAWT blades, verification of test settings, and image processing and data analysis. The measurement of the flow fields around a VAWT blade at tip speed ratios of λ = 2.5 and 4 were carried out and the results show significant differences in the stalling characteristics between different λ with increased occurrence of deep and prolonged separation of flow from the blade surface at lower λ. In both cases, however, dynamic stall is observed. The data acquired is an invaluable reference for VAWT flow physics as well as validation of numerical models such as CFD.

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Abbreviations

A:

Rotor swept area

c:

Blade chord

CFD:

Computational fluid dynamics

dc :

Obstacle characteristic dimension

dd :

Tracer particle diameter

FOV:

Field of view

L:

Blade span

LEV:

Leading edge vortex

PIV:

Particle image velocimetry

R:

Rotor radius

Re:

Reynolds number

Sk :

Stokes number

TEV:

Trailing edge vortex

U:

Flow velocity

VAWT:

Vertical axis wind turbine

α:

Angle of attack

θ:

Azimuth position

λ:

Tip speed ratio

μf :

Dynamic viscosity of the fluid

ρd :

Tracer particle density

σ:

Solidity

τ:

Tracer particle response time

Φz :

Z-vorticity

References

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Author information

Authors and Affiliations

  1. Department of Agricultural Engineering, Delta State Polytechnics, Ozoro, Nigeria

    Okeoghene Eboibi

  2. Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK

    Jonathan Edwards

  3. Department of Mechanical Engineering, University of Sheffield, Sheffield, UK

    Robert Howell

  4. Department of Mechanical Engineering, University of the Philippines, Quezon City, Philippines

    Louis Angelo Danao

Authors
  1. Okeoghene Eboibi
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  2. Jonathan Edwards
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  3. Robert Howell
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  4. Louis Angelo Danao
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Corresponding author

Correspondence to Okeoghene Eboibi .

Editor information

Editors and Affiliations

  1. Multimedia Engineering College of Engioneering, Mokpo National University, Chonnam, Korea, Republic of (South Korea)

    Gi-Chul Yang

  2. IAENG Secretariat, International Association of Engineers, Hong Kong, Hong Kong SAR

    Sio-Iong Ao

  3. Dept of Applied Mathematics & Computing School of Engineering, Cranfield University, Cranfield, Bedfordshire, United Kingdom

    Len Gelman

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© 2015 Springer Science+Business Media Dordrecht

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Eboibi, O., Edwards, J., Howell, R., Danao, L.A. (2015). Visualising Dynamic Stall Around a Vertical Axis Wind Turbine Blade Through Particle Image Velocimetry. In: Yang, GC., Ao, SI., Gelman, L. (eds) Transactions on Engineering Technologies. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9804-4_16

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  • DOI: https://doi.org/10.1007/978-94-017-9804-4_16

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9803-7

  • Online ISBN: 978-94-017-9804-4

  • eBook Packages: EngineeringEngineering (R0)

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