HPE 获得其首笔 AMD "Helios" AI 机架订单，价值 12 亿美元

yun2026

HPE 获得其首笔 AMD "Helios" AI 机架订单，价值 12 亿美元

2026年9月，麻省理工学院与合作团队利用高压风洞研究风力发电机控制方式。实验采用直径仅15厘米的模型，通过提高空气密度，使它在较小空间内更接近大型风机的气动状态。测试压力最高达到240个大气压，为反复改变风向偏差、叶片角度和转速提供了可控环境。

真实风场中的天气不断变化，直接比较控制策略往往需要长时间观测。高压实验使研究人员能够把不同因素分开，检验模型预测是否可靠。结果发现，当风机没有正对来风时，配合偏差角度调整叶尖速度，可以提高发电输出，而这种控制组合目前并不常见。团队还用实验验证了可在普通笔记本电脑上运行的统一风机模型。研究为现有风场优化提供了一种成本较低的试验路径，也有助于在建设大型样机之前筛选设计。实际增益会随风况、机型和整场布局变化，不能把实验中的改善直接套用于每一台商业风机。

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