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Optimum aerodynamic design for wind turbine blade with a Rankine vortex wake

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  • Tavares Dias do Rio Vaz, Déborah Aline
  • Vaz, Jerson Rogério Pinheiro
  • Mesquita, André Luiz Amarante
  • Pinho, João Tavares
  • Pinho Brasil Junior, Antonio Cesar

Abstract

This paper presents a model to optimize the distribution of chord and twist angle of horizontal axis wind turbine blades, taking into account the influence of the wake, by using a Rankine vortex. This model is applied to both large and small wind turbines, aiming to improve the aerodynamics of the wind rotor, and particularly useful for the case of wind turbines operating at low tip-speed ratios. The proposed optimization is based on maximizing the power coefficient, coupled with the general relationship between the axial induction factor in the rotor plane and in the wake. The results show an increase in the chord and a slightly decrease in the twist angle distributions as compared to other classical optimization methods, resulting in an improved aerodynamic shape of the blade. An evaluation of the efficiency of wind rotors designed with the proposed model is developed and compared other optimization models in the literature, showing an improvement in the power coefficient of the wind turbine.

Suggested Citation

  • Tavares Dias do Rio Vaz, Déborah Aline & Vaz, Jerson Rogério Pinheiro & Mesquita, André Luiz Amarante & Pinho, João Tavares & Pinho Brasil Junior, Antonio Cesar, 2013. "Optimum aerodynamic design for wind turbine blade with a Rankine vortex wake," Renewable Energy, Elsevier, vol. 55(C), pages 296-304.
  • Handle: RePEc:eee:renene:v:55:y:2013:i:c:p:296-304
    DOI: 10.1016/j.renene.2012.12.027
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    References listed on IDEAS

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    1. Rajakumar, S. & Ravindran, D., 2012. "Iterative approach for optimising coefficient of power, coefficient of lift and drag of wind turbine rotor," Renewable Energy, Elsevier, vol. 38(1), pages 83-93.
    2. Vaz, Jerson Rogério Pinheiro & Pinho, João Tavares & Mesquita, André Luiz Amarante, 2011. "An extension of BEM method applied to horizontal-axis wind turbine design," Renewable Energy, Elsevier, vol. 36(6), pages 1734-1740.
    3. Lanzafame, R. & Messina, M., 2010. "Horizontal axis wind turbine working at maximum power coefficient continuously," Renewable Energy, Elsevier, vol. 35(1), pages 301-306.
    4. Lanzafame, R. & Messina, M., 2007. "Fluid dynamics wind turbine design: Critical analysis, optimization and application of BEM theory," Renewable Energy, Elsevier, vol. 32(14), pages 2291-2305.
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    Cited by:

    1. Jerson R. P. Vaz & Adry K. F. de Lima & Erb F. Lins, 2023. "Assessment of a Diffuser-Augmented Hydrokinetic Turbine Designed for Harnessing the Flow Energy Downstream of Dams," Sustainability, MDPI, vol. 15(9), pages 1-15, May.
    2. Nag, Aditya Kumar & Sarkar, Shibayan, 2021. "Techno-economic analysis of a micro-hydropower plant consists of hydrokinetic turbines arranged in different array formations for rural power supply," Renewable Energy, Elsevier, vol. 179(C), pages 475-487.
    3. Keramat Siavash, Nemat & Najafi, G. & Tavakkoli Hashjin, Teymour & Ghobadian, Barat & Mahmoodi, Esmail, 2020. "Mathematical modeling of a horizontal axis shrouded wind turbine," Renewable Energy, Elsevier, vol. 146(C), pages 856-866.
    4. Nikolić, Vlastimir & Sajjadi, Shahin & Petković, Dalibor & Shamshirband, Shahaboddin & Ćojbašić, Žarko & Por, Lip Yee, 2016. "Design and state of art of innovative wind turbine systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 258-265.
    5. Silva, Paulo Augusto Strobel Freitas & Shinomiya, Léo Daiki & de Oliveira, Taygoara Felamingo & Vaz, Jerson Rogério Pinheiro & Amarante Mesquita, André Luiz & Brasil Junior, Antonio Cesar Pinho, 2017. "Analysis of cavitation for the optimized design of hydrokinetic turbines using BEM," Applied Energy, Elsevier, vol. 185(P2), pages 1281-1291.

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