Underperformance Detection

Pitch: Detect significant changes in the pitch schedule of a turbine due to software updates, actuator failures, or firmware errors. Large scatter in the data typically is indicative of a performance issue. Erroneous curtailment signals, pitch actuator failures, or problematic firmware upgrades are detected easily.

Torque: Ensight identifies suboptimal torque settings that can limit the energy output potential. Continuous torque tuning recommendations adapt to real time changes in turbine performance.

Yaw: Detect wind vane misalignment by comparing turbine performance across the farm. Correcting for yaw misalignments can save up to 3% of annual energy production losses with no hardware changes.

Derates: Ensight continuously monitors power curve data to detect anomalous conditions during which a turbine is being derated from its normal power production configuration.

Ensure Turbine Health

Ensight maximizes the value of conventional SCADA data by continually analyzing component temperature data in conjunction with physical modeling of turbine operations to detect possible erosion or wear in key components. Advance notification of growing problems can be used to drive optimized maintenance schedules to minimize system downtime and failure.

Capture essential insights

Operational, aerodynamic, and customizable power curve analysis tools enable you to recognize, understand, and filter out anomalous data quickly. Compare data among different turbines in a farm relative to the vendor’s prescribed power curve, and reduce data uncertainty for a cleaner power curve. These powerful features enhance underperformance detection to maximize energy yields, and improve OEM and O&M accountability.

Optimize your O&M strategy

Our corrective action dashboard summarizes potential problems detected by our analytics engine, and the possible revenue impact if left uncorrected. Set filters, sort columns, update issues status, and view details for suggestions on how to address each specific issue.

Underperformance Detection

Pitch: Detect significant changes in the pitch schedule of a turbine due to software updates, actuator failures, or firmware errors. Large scatter in the data typically is indicative of a performance issue. Erroneous curtailment signals, pitch actuator failures, or problematic firmware upgrades are detected easily.

Torque: Ensight identifies suboptimal torque settings that can limit the energy output potential. Continuous torque tuning recommendations adapt to real time changes in turbine performance.

Yaw: Detect wind vane misalignment by comparing turbine performance across the farm. Correcting for yaw misalignments can save up to 3% of annual energy production losses with no hardware changes.

Derates: Ensight continuously monitors power curve data to detect anomalous conditions during which a turbine is being derated from its normal power production configuration.

Ensure Turbine Health

Ensight maximizes the value of conventional SCADA data by continually analyzing component temperature data in conjunction with physical modeling of turbine operations to detect possible erosion or wear in key components. Advance notification of growing problems can be used to drive optimized maintenance schedules to minimize system downtime and failure.

Capture essential insights

Operational, aerodynamic, and customizable power curve analysis tools enable you to recognize, understand, and filter out anomalous data quickly. Compare data among different turbines in a farm relative to the vendor’s prescribed power curve, and reduce data uncertainty for a cleaner power curve. These powerful features enhance underperformance detection to maximize energy yields, and improve OEM and O&M accountability.

Optimize your O&M strategy

Our corrective action dashboard summarizes potential problems detected by our analytics engine, and the possible revenue impact if left uncorrected. Set filters, sort columns, update issues status, and view details for suggestions on how to address each specific issue.