A guide to wind farm performance optimization

Wind farm monitoring and data analysis to maximize energy capture.

Contact us:

Kimberly Mortstock Kimberly Mortstock
Senior Engineer, Asset Integrity & Performance
Asset management

Training Information

  • Duration:

    1 day

Course details

None planned 
None planned 
 not planned yet

DNV GL has reviewed the performance of over 1000 wind farms and 50,000 turbines worldwide, including IEC-based power performance testing, availability audits, operational energy assessments, performance monitoring and benchmarking. We regularly identify avoidable energy losses and risk factors that result in tens or even hundreds of thousands of dollars of lost revenue. 

This one-day course describes DNV GL's recommended best practices for identifying commonly missed and avoidable issues. The course will illustrate how to better monitor availability, power performance, and component health. In addition, the course will describe reasons that actual performance deviates from budgeted expectations, including wind resource, availability, power performance, and curtailment. 

To complement the warranties and formal procedures (see companion course “Wind Turbine Power Performance IEC 61400-12-1”), wind farm performance may be optimized and tracked through live operations monitoring and periodic detailed analysis. The SCADA data continuously recorded by each turbine and met masts on the wind farm can be interrogated to track performance and monitor the health of turbine components. The course will explain the value of SCADA data and how to leverage this to proactively manage performance. The course also includes live and interactive demonstrations of tools used to monitor and optimize the performance of turbines. 

On completion, attendees should understand the most significant factors affecting wind farm performance, and how to leverage SCADA signals to minimize risk of underperformance. 

Who should attend? 
Owners, operators, lenders and other professionals invested in understanding and improving day-to-day energy capture at wind farms. 

Draft course outline

Day 1

  • Time
  • 09:00 -10:30

    Introduction and overview 
    Ideal vs real performance
      * budget energy versus actual energy  
    Optimizing performance using SCADA data
      * real availability
      * real power curve performance
         - case studies
         - benchmarking and trends

  • 10:30 -10:45


  • 10:45 -12:00

    Optimizing performance using SCADA data (continued)

  • 12:00 -13:00


  • 13:00 -14:30

    Condition monitoring with SCADA data
    Guide for monitoring site activity and performance
      * demos / case studies

  • 14:30 -14:45


  • 14:45 -16:30

    Guide for monitoring site activity and performance (continued)
    General Q&A session