Relationship Curves Between Wind Turbine Rotational Speed and Power Output Under Different Wind Speeds

The objective of this experiment is to characterize the relationship curves between wind turbine rotational speed and power output under varying wind speed conditions. During testing, we recorded rotational speed and power generation data at different wind velocities and plotted corresponding curves. The results demonstrate that both rotational speed and power output initially increase then decrease as wind speed rises. This phenomenon can be attributed to the turbine's inability to rotate under low wind conditions and excessive resistance encountered at high wind velocities. Generating these curves typically involves: 1) Data acquisition using anemometers and tachometers, 2) Applying polynomial regression algorithms (e.g., numpy.polyfit in Python) to model the nonlinear relationship, and 3) Visualization through plotting libraries like matplotlib to create scatter plots with trend lines. Such curve analysis provides critical insights into turbine performance characteristics and serves as valuable reference for optimizing wind turbine design parameters through computational fluid dynamics simulations.