Wind farm optimization

We have developed a four-step model in order to accurately determine wind farm asset status, analyze and determine root course for underperformance, improve energy production, reduce loads, risk and service costs over lifetime by decreasing average yaw misalignment, blade pitch misalignment and rotor imbalance etc.

Upon completion, we install “Critical Component Condition Monitoring and instant Alarm System” (TripleCMASTM) to maintain the results and reduce risk for the remaining lifetime.

We are using advanced analytics techniques such as machine learning, image processing, data mining, and statistics to gain new insights from data sources independently or together with existing data.

 

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