以叶子为灵感的风能收割机在风速和风向方面的适应性
Seyedali Sabzpoushan1,2, Peter Woias1,2
1Department of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg im Breisgau, Germany.
Bioinspiration & biomimetics
|May 3, 2024
概括
这项研究介绍了一种类似叶子的自适应式翻动式风能收割机. 改进提高了能源转换效率,并扩大了风向变化的操作角度,从而提高了可再生能源的潜力.
科学领域:
- 机械工程 机械工程
- 可再生能源系统可再生能源系统
- 空气动力学 在空气动力学.
背景情况:
- 环境风能是一种可变的能源,对持续的能源采集提出了挑战.
- 小规模的风能采集是一个不断发展的领域,寻求高效和适应性的解决方案.
- 现有的风能收割机经常与波动的风速和不断变化的风向作斗争.
研究的目的:
- 开发一种可适应的类似叶子的摇式风能收割机.
- 使用仿生机制提高收割机的效率和运行范围.
- 调查拟议机制对频率,输出功率和方向适应性的影响.
主要方法:
- 设计了一个基本的叶子形状的飞式风能收割机,在双层悬臂梁上设有一个短跨度的气形翼.
- 整合了一种灵感来自鱼皮肤的板机制,以适应速度.
- 整合了一种以鸟尾为灵感的尾部机制,用于方向适应.
- 测试了收割机在各种风速和侧滑角度的性能.
主要成果:
- 翻页机制在1.5至6.0米/秒的风速下增加了2.1至11.5赫兹的翻页频率,提高了输出功率.
- 尾部机制显著扩大了侧滑角度的范围,可以调整到80度.
- 这些适应性提高了收割机在变化的风条件下保持性能的能力.
结论:
- 拟议的仿生机制有效地提高了类似叶子的翻动风能收割机的适应能力.
- 集成的和尾部机制在能量转换效率和方向稳定性方面提供了显著的改进.
- 这种适应性设计显示出对更强大,更有效的小规模风能清理有希望.
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