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Multi-objective numerical optimization of the front blade pitch angle distribution in a counter-rotating type horizontal-axis tidal turbine

机译:对转式水平轴潮汐涡轮机前叶片桨距角分布的多目标数值优化

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In order to exploit renewable energies from tidal stream, tandem propellers of a unique counter-rotating type horizontal-axis tidal turbine was firstly designed based on the blade element momentum (BEM) theory. And then a multi-objective numerical optimization method coupled the response surface method (RSM) with the genetic algorithm (GA) was employed to obtain desirable blade profiles. The front blade pitch angle distribution was taken as optimization variable in this paper, as it plays an important role in affecting the inlet conditions of the rear blade. The numerical results show that both optimization objectives of power coefficient and thrust coefficient can be significantly improved. It was verified that the performance of the power unit with the optimized blades increases obviously by optimizing the pitch angle. (C) 2015 Elsevier Ltd. All rights reserved.
机译:为了利用潮汐流中的可再生能源,首先基于叶片元动量(BEM)理论设计了独特的反向旋转式水平轴潮汐涡轮机的串联螺旋桨。然后,将响应面法(RSM)与遗传算法(GA)相结合的多目标数值优化方法被用于获得理想的叶片轮廓。本文将前叶片桨距角分布作为优化变量,因为它在影响后叶片的进气条件方面起着重要作用。数值结果表明,功率系数和推力系数的优化目标均可得到明显改善。经验证,通过优化桨距角,具有优化叶片的动力装置的性能明显提高。 (C)2015 Elsevier Ltd.保留所有权利。

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