Case study: Power production monitoring

The power that a wind turbine is capable of producing depends on many factors in addition to wind speed, such as air density, turbulence intensity, wind shear, wind inflow direction, terrain, wake effects, and other factors. Additionally, the wind speed measurement used in the power curve analysis comes from an anemometer that is behind the rotor of the turbine, which affects the accuracy of the measurements.

Read this case study to learn how SparkCognition helps its customers identify underperforming turbines quickly and cost-effectively so that wind farm owners and operators can maximize profitability.

Fill out this form to access this content.

SparkCognition is committed to compliance with applicable privacy laws, including GDPR, and we provide related assurances in our contractual commitments. Click here to review our Cookie & Privacy Policy.