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Aerodynamic Noise Reduction for Small Wind Turbine Rotors

机译:小型风力发电机转子的空气动力学降噪

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Noise emissions are detrimental to the take-up of wind turbine technology. This is important for small wind turbine technology, as many are located close to dwellings. This paper presents a method of reducing turbine noise whilst retaining power production performance of small wind turbines using the numerical optimisation technique called differential evolution.rnThe differential evolution technique coupled an empirical noise prediction model with a blade element-momentum analysis for predicting power performance. For the small wind turbine rotor at a design tip speed ratio of 5.5, a 2 dBA reduction in the total sound pressure levels was possible for a 1% reduction in power coefficient. This noise reduction was attributed to an increase in angle of attack and Reynolds number.rnThe noise minimisation was then combined with starting time minimisation to improve low wind speed performance. At a tip speed ratio of 5.5, the best trade of fs for a maximum of 1% decrease in power coefficient were a simultaneous decrease in total sound pressure level and starting time of 4% (2 dBA) and 6% respectively, or a decrease in total sound pressure level and starting time of 1% (0.7 dBA) and 16% respectively.
机译:噪声排放不利于采用风力涡轮机技术。这对于小型风力涡轮机技术很重要,因为许多风力涡轮机位于住宅附近。本文提出了一种通过使用称为差分演化的数值优化技术来降低风力涡轮机噪声同时保持小型风力涡轮机发电性能的方法。差分演化技术将经验噪声预测模型与叶片要素动量分析相结合,以预测功率性能。对于设计尖端速度比为5.5的小型风力涡轮机转子,将总声压级降低2 dBA可使功率系数降低1%。降噪归因于迎角和雷诺数的增加。然后将噪声最小化与启动时间最小化相结合,以改善低风速性能。尖端速度比为5.5时,fs的最佳折衷方案是功率系数最大降低1%,即总声压级同时降低,启动时间分别降低4%(2 dBA)和6%,或者降低总声压级和启动时间分别为1%(0.7 dBA)和16%。

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