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Wind farm layout optimization using sound pressure level constraints

机译:风电场布局优化使用声压级约束

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This project explored wind farm layout optimization using turbine acoustic and wake models. For two existing wind farms, the position of each wind turbine was optimized to maximize power output while constraining noise. Semi-empirical calculations were used for both the acoustic and wake models to predict how the turbine noise and wake disturbances propagated downstream. Turbine layout was optimized using a sequential quadratic programming optimizer called SNOPT. The optimization was able to constrain the noise level of the wind farms with a small impact on power output.
机译:该项目探索了使用涡轮机声学和唤醒模型的风电场布局优化。对于两个现有的风电场,优化每个风力涡轮机的位置,以在约束噪声的同时最大化电力输出。用于声学和唤醒模型的半经验计算,以预测涡轮机噪声和唤醒干扰在下游传播的方式。使用称为SNOPT的顺序二次编程优化器优化了涡轮布局。优化能够将风电场的噪声水平限制为对电源输出的小冲击。

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