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Airfoil optimization to improve power performance of a high-solidity vertical axis wind turbine at a moderate tip speed ratio

机译:翼型优化,以中等速比提高高强度垂直轴风力发电机的动力性能

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摘要

The relatively low power coefficient restricts the wide application of vertical axis wind turbines (VAWTs). An effective solution to this problem is to design specific airfoil profiles which directly influence the capture ratio of wind power. The main aim of the present study is to develop an automatic airfoil profile optimization system to improve the power performance of a VAWT. A three-bladed high-solidity VAWT is adopted as the research object with its chord length, blade span and rotor diameter being 0.2 m, 0.8 m and 0.8 m, respectively. The optimization is conducted at a moderate tip speed ratio (TSR) with a value of 1.0 and the method of coupled CFD simulations with genetic algorithms is employed. The following points make this paper different from previous studies: (a) introducing Multi-Island Genetic Algorithm to optimize airfoils for VAWT5; (b) investigating the airfoil as part of the VAWT rather than as a single isolated body with 3D simulations. The results show that the power coefficient of the VAWT equipped with the optimized blades sensibly improves at all TSRs from 0.4 to 1.5 and the maximum growth rate of it occurs at TSR = 0.9 with a value of 26.82%. The integrated optimization system used in this paper provides an effective way to generate suitable airfoil profiles for given VAWTs with the goal to achieve higher power efficiency. (C) 2018 Elsevier Ltd. All rights reserved.
机译:相对较低的功率系数限制了垂直轴风力涡轮机(VAWT)的广泛应用。解决此问题的有效方法是设计特定的翼型轮廓,这些轮廓直接影响风能的捕获率。本研究的主要目的是开发一种自动翼型轮廓优化系统,以提高VAWT的动力性能。研究对象为三叶片高强度VAWT,其弦长,叶片跨度和转子直径分别为0.2 m,0.8 m和0.8 m。该优化以值为1.0的中等尖端速度比(TSR)进行,并且采用了将CFD模拟与遗传算法耦合的方法。以下几点使本文不同于以往的研究:(a)引入多岛遗传算法来优化VAWT5的机翼; (b)将翼型作为VAWT的一部分进行研究,而不是通过3D模拟将其作为单个孤立的物体进行研究。结果表明,配备了优化叶片的VAWT的功率系数在所有TSR上均显着提高,从0.4到1.5,其最大增长率出现在TSR = 0.9时,值为26.82%。本文中使用的集成优化系统提供了一种有效的方法,可以针对给定的VAWT生成合适的翼型轮廓,以实现更高的功率效率。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Energy》 |2018年第may1期|236-252|共17页
  • 作者单位

    Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai, Peoples R China;

    Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai, Peoples R China;

    Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai, Peoples R China;

    Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai, Peoples R China;

    Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai, Peoples R China;

    Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai, Peoples R China;

    Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai, Peoples R China;

    Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vertical axis wind turbine (VAWT); Airfoil profile; Optimization system; Multi-island genetic algorithm; Power coefficient;

    机译:垂直轴风力发电机;翼型;优化系统;多岛遗传算法;功率系数;

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