wake coefficient

简明释义

伴流系数

英英释义

例句

1.To improve fuel efficiency, the team focused on reducing the wake coefficient of the vehicle.

为了提高燃油效率，团队专注于降低车辆的尾流系数。

2.Researchers measured the wake coefficient of various models in a wind tunnel to study their aerodynamic properties.

研究人员在风洞中测量了各种模型的尾流系数以研究它们的空气动力学特性。

3.The wake coefficient is essential for predicting how one ship will affect the flow around another in crowded waters.

尾流系数对于预测一艘船如何影响另一艘船在拥挤水域中的流动至关重要。

4.In wind turbine design, understanding the wake coefficient is crucial for optimizing energy output.

在风力发电机设计中，理解尾流系数对优化能量输出至关重要。

5.The engineer calculated the wake coefficient to determine the impact of turbulence on the aircraft's performance.

工程师计算了尾流系数以确定湍流对飞机性能的影响。

作文

In the field of fluid dynamics, the term wake coefficient refers to a dimensionless number that characterizes the flow of fluid around a body, particularly in the context of wind turbines and other aerodynamic structures. The wake coefficient is crucial for understanding how the presence of an object affects the surrounding airflow and how energy can be harnessed from that flow. Essentially, it quantifies the reduction in wind speed in the wake region behind a turbine, which is critical for optimizing turbine placement and efficiency.When a wind turbine operates, it extracts kinetic energy from the wind, creating a region of disturbed flow behind it known as the wake. This wake is characterized by lower wind speeds compared to the free stream wind. The wake coefficient is defined as the ratio of the velocity deficit in the wake to the free stream velocity. A higher wake coefficient indicates a greater reduction in wind speed, which can have significant implications for the performance of downstream turbines and the overall energy yield of a wind farm.Understanding the wake coefficient is vital for engineers and designers working in the renewable energy sector. By analyzing the wake characteristics, they can optimize the spacing between turbines to minimize the impact of wake losses on energy production. For instance, if two turbines are placed too closely together, the downstream turbine may operate in the wake of the upstream turbine, resulting in reduced efficiency and power output. Therefore, calculating the wake coefficient helps in determining the optimal layout of wind farms.Moreover, the wake coefficient is influenced by various factors, including the design of the turbine blades, the angle of attack, and environmental conditions such as turbulence and atmospheric stability. Researchers often conduct wind tunnel experiments or use computational fluid dynamics (CFD) simulations to study the wake behavior and determine the wake coefficient for different turbine configurations. These studies provide valuable data that can lead to improvements in turbine design and performance.In addition to wind energy applications, the concept of wake coefficient extends to other fields such as aviation and marine engineering. In aviation, understanding the wake generated by aircraft is essential for ensuring safe distances between planes during takeoff and landing. Similarly, in marine engineering, the wake coefficient can help in designing ships and submarines to reduce drag and enhance fuel efficiency.In conclusion, the wake coefficient is a fundamental parameter in fluid dynamics that plays a critical role in the design and optimization of various engineering systems. Its significance in renewable energy applications, especially in wind turbine technology, cannot be overstated. As the world shifts towards more sustainable energy sources, understanding the wake coefficient will continue to be essential for maximizing efficiency and minimizing environmental impact. By leveraging this knowledge, engineers can contribute to a cleaner and more efficient energy future.

在流体动力学领域，术语wake coefficient指的是一个无量纲数，它表征了流体围绕物体的流动，特别是在风力涡轮机和其他气动结构的背景下。wake coefficient对于理解一个物体的存在如何影响周围的气流以及如何从这种流动中获取能量至关重要。它本质上量化了涡轮机后方的尾流区域内风速的降低，这对于优化涡轮机的布置和效率至关重要。当风力涡轮机运行时，它从风中提取动能，在其后方形成一个称为尾流的扰动流动区域。该尾流的特点是与自由流风相比，风速较低。wake coefficient定义为尾流中的速度缺失与自由流风速的比率。较高的wake coefficient表示风速的减少更大，这对下游涡轮机的性能和整个风电场的能量产出有重大影响。理解wake coefficient对可再生能源领域的工程师和设计师至关重要。通过分析尾流特性，他们可以优化涡轮机之间的间距，以最小化尾流损失对能量生产的影响。例如，如果两个涡轮机放置得过于接近，下游涡轮机可能会在上游涡轮机的尾流中运行，从而导致效率和功率输出降低。因此，计算wake coefficient有助于确定风电场的最佳布局。此外，wake coefficient受多种因素的影响，包括涡轮叶片的设计、攻角以及环境条件（如湍流和大气稳定性）。研究人员通常进行风洞实验或使用计算流体动力学（CFD）模拟来研究尾流行为并确定不同涡轮配置的wake coefficient。这些研究提供了宝贵的数据，可以促进涡轮设计和性能的改进。除了风能应用，wake coefficient的概念还扩展到航空和海洋工程等其他领域。在航空领域，了解飞机产生的尾流对于确保起飞和着陆期间飞机之间的安全距离至关重要。同样，在海洋工程中，wake coefficient可以帮助设计船舶和潜艇，以减少阻力并提高燃油效率。总之，wake coefficient是流体动力学中的一个基本参数，在各种工程系统的设计和优化中发挥着关键作用。它在可再生能源应用，尤其是风力涡轮机技术中的重要性不容小觑。随着世界向更可持续的能源源转型，理解wake coefficient将继续对最大化效率和最小化环境影响至关重要。通过利用这一知识，工程师们可以为一个更清洁、更高效的能源未来做出贡献。