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Experimental and CFD Analysis of Impact of Surface Roughness on Hydrodynamic Performance of a Darrieus Hydro (DH) Turbine

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  • Mohammad Hassan Khanjanpour

    (Department of Engineering, University of Exeter, Exeter EX4 4QF, UK)

  • Akbar A. Javadi

    (Department of Engineering, University of Exeter, Exeter EX4 4QF, UK)

Abstract

Although improving the hydrodynamic performance is a key objective in the design of ocean-powered devices, there are some factors that affect the efficiency of the device during its operation. In this study, the impacts of a wide range of surface roughness as a tribological parameter on stream flow around a hydro turbine and its power loss are studied. A comprehensive program of 3D Computational Fluid Dynamics (CFD) modeling, as well as an expansive range of experiments were carried out on a Darrieus Hydro (DH) turbine in order to measure reduction in hydrodynamic performance due to surface roughness. The results show that surface roughness of turbine blades plays an important role in the hydrodynamics of the flow around the turbine. The surface roughness increases turbulence and decreases the active fluid energy that is required for rotating the turbine, thereby reducing the performance of the turbine. The extent of the negative impact of surface roughness on the drag coefficient, pressure coefficient, torque, and output power is evaluated. It is shown that the drag coefficient of a turbine with roughness height of 1000 μm is about 20% higher than a smooth blade (zero roughness height) and the maximum percentage of reduction of output power could be up to 27% (numerically) and 22% (experimentally).

Suggested Citation

  • Mohammad Hassan Khanjanpour & Akbar A. Javadi, 2020. "Experimental and CFD Analysis of Impact of Surface Roughness on Hydrodynamic Performance of a Darrieus Hydro (DH) Turbine," Energies, MDPI, vol. 13(4), pages 1-18, February.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:4:p:928-:d:322659
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    1. Thiébot, Jérôme & Bailly du Bois, Pascal & Guillou, Sylvain, 2015. "Numerical modeling of the effect of tidal stream turbines on the hydrodynamics and the sediment transport – Application to the Alderney Race (Raz Blanchard), France," Renewable Energy, Elsevier, vol. 75(C), pages 356-365.
    2. Zhen Liu & Hengliang Qu & Hongda Shi, 2016. "Numerical Study on Self-Starting Performance of Darrieus Vertical Axis Turbine for Tidal Stream Energy Conversion," Energies, MDPI, vol. 9(10), pages 1-15, September.
    3. Batten, W.M.J. & Bahaj, A.S. & Molland, A.F. & Chaplin, J.R., 2008. "The prediction of the hydrodynamic performance of marine current turbines," Renewable Energy, Elsevier, vol. 33(5), pages 1085-1096.
    4. Sagol, Ece & Reggio, Marcelo & Ilinca, Adrian, 2013. "Issues concerning roughness on wind turbine blades," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 514-525.
    5. Batten, W.M.J. & Bahaj, A.S. & Molland, A.F. & Chaplin, J.R., 2006. "Hydrodynamics of marine current turbines," Renewable Energy, Elsevier, vol. 31(2), pages 249-256.
    6. Lanzafame, R. & Mauro, S. & Messina, M., 2013. "Wind turbine CFD modeling using a correlation-based transitional model," Renewable Energy, Elsevier, vol. 52(C), pages 31-39.
    7. Walker, Jessica M. & Flack, Karen A. & Lust, Ethan E. & Schultz, Michael P. & Luznik, Luksa, 2014. "Experimental and numerical studies of blade roughness and fouling on marine current turbine performance," Renewable Energy, Elsevier, vol. 66(C), pages 257-267.
    8. Balduzzi, Francesco & Bianchini, Alessandro & Maleci, Riccardo & Ferrara, Giovanni & Ferrari, Lorenzo, 2016. "Critical issues in the CFD simulation of Darrieus wind turbines," Renewable Energy, Elsevier, vol. 85(C), pages 419-435.
    9. Mohamed, M.H., 2012. "Performance investigation of H-rotor Darrieus turbine with new airfoil shapes," Energy, Elsevier, vol. 47(1), pages 522-530.
    10. Dunnett, David & Wallace, James S., 2009. "Electricity generation from wave power in Canada," Renewable Energy, Elsevier, vol. 34(1), pages 179-195.
    11. Kiho, S. & Shiono, M. & Suzuki, K., 1996. "The power generation from tidal currents by darrieus turbine," Renewable Energy, Elsevier, vol. 9(1), pages 1242-1245.
    12. Dalili, N. & Edrisy, A. & Carriveau, R., 2009. "A review of surface engineering issues critical to wind turbine performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 428-438, February.
    13. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
    14. Gustave P. Corten & Herman F. Veldkamp, 2001. "Insects can halve wind-turbine power," Nature, Nature, vol. 412(6842), pages 41-42, July.
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    Cited by:

    1. Runqiang Zhang & Zhenwei Huang & Lei Tan & Yuchuan Wang & Erqi Wang, 2020. "Energy Performance and Radial Force of Vertical Axis Darrieus Turbine for Ocean Energy," Energies, MDPI, vol. 13(20), pages 1-15, October.

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