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Optimization of a Small Wind Turbine for a Rural Area: A Case Study of Deniliquin, New South Wales, Australia

Author

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  • Nour Khlaifat

    (Centre of Green Technology, University of Technology Sydney, Ultimo 2007, Australia)

  • Ali Altaee

    (Centre of Green Technology, University of Technology Sydney, Ultimo 2007, Australia)

  • John Zhou

    (Centre of Green Technology, University of Technology Sydney, Ultimo 2007, Australia)

  • Yuhan Huang

    (Centre of Green Technology, University of Technology Sydney, Ultimo 2007, Australia)

  • Ali Braytee

    (Centre of Green Technology, University of Technology Sydney, Ultimo 2007, Australia)

Abstract

The performance of a wind turbine is affected by wind conditions and blade shape. This study aimed to optimize the performance of a 20 kW horizontal-axis wind turbine (HAWT) under local wind conditions at Deniliquin, New South Wales, Australia. Ansys Fluent (version 18.2, Canonsburg, PA, USA) was used to investigate the aerodynamic performance of the HAWT. The effects of four Reynolds-averaged Navier–Stokes turbulence models on predicting the flows under separation condition were examined. The transition SST model had the best agreement with the NREL CER data. Then, the aerodynamic shape of the rotor was optimized to maximize the annual energy production (AEP) in the Deniliquin region. Statistical wind analysis was applied to define the Weibull function and scale parameters which were 2.096 and 5.042 m/s, respectively. The HARP_Opt (National Renewable Energy Laboratory, Golden, CO, USA) was enhanced with design variables concerning the shape of the blade, rated rotational speed, and pitch angle. The pitch angle remained at 0° while the rising wind speed improved rotor speed to 148.4482 rpm at rated speed. This optimization improved the AEP rate by 9.068% when compared to the original NREL design.

Suggested Citation

  • Nour Khlaifat & Ali Altaee & John Zhou & Yuhan Huang & Ali Braytee, 2020. "Optimization of a Small Wind Turbine for a Rural Area: A Case Study of Deniliquin, New South Wales, Australia," Energies, MDPI, vol. 13(9), pages 1-26, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2292-:d:354291
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    References listed on IDEAS

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    1. Katsigiannis, Yiannis A. & Stavrakakis, George S., 2014. "Estimation of wind energy production in various sites in Australia for different wind turbine classes: A comparative technical and economic assessment," Renewable Energy, Elsevier, vol. 67(C), pages 230-236.
    2. 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.
    3. Liu, Xiongwei & Wang, Lin & Tang, Xinzi, 2013. "Optimized linearization of chord and twist angle profiles for fixed-pitch fixed-speed wind turbine blades," Renewable Energy, Elsevier, vol. 57(C), pages 111-119.
    4. Vučina, Damir & Marinić-Kragić, Ivo & Milas, Zoran, 2016. "Numerical models for robust shape optimization of wind turbine blades," Renewable Energy, Elsevier, vol. 87(P2), pages 849-862.
    5. Du, Zhaohui & Selig, M.S, 2000. "The effect of rotation on the boundary layer of a wind turbine blade," Renewable Energy, Elsevier, vol. 20(2), pages 167-181.
    6. Rocha, P.A. Costa & Rocha, H.H. Barbosa & Carneiro, F.O. Moura & Vieira da Silva, M.E. & Bueno, A. Valente, 2014. "k–ω SST (shear stress transport) turbulence model calibration: A case study on a small scale horizontal axis wind turbine," Energy, Elsevier, vol. 65(C), pages 412-418.
    7. Yingcheng, Xue & Nengling, Tai, 2011. "Review of contribution to frequency control through variable speed wind turbine," Renewable Energy, Elsevier, vol. 36(6), pages 1671-1677.
    8. Seo, Jihye & Yi, Jin-Hak & Park, Jin-Soon & Lee, Kwang-Soo, 2019. "Review of tidal characteristics of Uldolmok Strait and optimal design of blade shape for horizontal axis tidal current turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    9. Sims, Ralph E. H. & Rogner, Hans-Holger & Gregory, Ken, 2003. "Carbon emission and mitigation cost comparisons between fossil fuel, nuclear and renewable energy resources for electricity generation," Energy Policy, Elsevier, vol. 31(13), pages 1315-1326, October.
    10. Li, Yuwei & Paik, Kwang-Jun & Xing, Tao & Carrica, Pablo M., 2012. "Dynamic overset CFD simulations of wind turbine aerodynamics," Renewable Energy, Elsevier, vol. 37(1), pages 285-298.
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    Cited by:

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    5. Hosseinzadeh, Ahmad & Zhou, John L. & Li, Xiaowei & Afsari, Morteza & Altaee, Ali, 2022. "Techno-economic and environmental impact assessment of hydrogen production processes using bio-waste as renewable energy resource," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).

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