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Numerical Study of A Generic Tidal Turbine Using BEM Optimization Methods

机译:Numerical Study of A Generic Tidal Turbine Using BEM Optimization Methods

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摘要

Three blade-geometry optimization models derived along with assumptions from the blade element momentum(BEM)approach are studied by using a steady BEM code to improve a small horizontal-axis rotor of three blades that has been previously used in experiments.The base rotor blade has linear-radially varying chord length and pitch angle,while the other three models noted as Burton,Implicit and Hansen due to their references and characteristics yield blades of non-linearly varying chord length and pitch angle.The aim is to compare these rapid models and study how assumptions embedded in them affect performance and induction factors.It is found that the model that has the least assumptions(Hansen)and which considers the blade-profile drag in its optimization procedure yields the highest power coefficient,C_(P),at the optimal tip speed ratio(TSR),about 7%higher than the base one and also higher C_(P) at high TSR.It produces an axial induction factor distribution along the blade that is closest to the 1 D optimal value of 1/3.All optimized tangential induction-factor distributions along the blade closely vary as inverse to the square of the radial distance,while being mildly higher than the base distribution.It shows that sufficient swirl is necessary to increase power but at a level causing not too much energy loss in unnecessary swirl of the wake.At high TSR,all optimized rotors adversely produce higher thrust than the base one,but the one with most embedded assumptions(Burton)produces the highest thrust.Details of all three optimization models are given along with the distributions of the power,thrust,blade hydrodynamic efficiency and induction factors.

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  • 来源
    《中国海洋工程(英文版)》 |2021年第3期|344-351|共8页
  • 作者单位

    Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen 518055 China;

    School of Engineering and Materials Science Queen Mary University of London London E14NS UK;

    School of Engineering and Materials Science Queen Mary University of London London E14NS UK;

    School of Mathematical Sciences University of Jinan Jinan 250022 China;

    College of Mechanical and Electrical Engineering Qingdao University Qingdao 266071 China;

    Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen 518055 China;

    Southern Marine Science and Engineering Guangdong Laboratory Guangzhou 511458 China;

    School of Engineering and Materials Science Queen Mary University of London London E14NS UK;

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  • 正文语种 eng
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  • 入库时间 2022-08-19 04:59:17
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