WindESCo has received approval from DNV for its Energy Improvement Analysis Method 3.0. The method uses machine learning to evaluate energy improvement of wind turbines following upgrades to underperforming turbines.
Using machine learning, WindESCo is able to compare how the performance of adjusted turbines compares to control turbines, normalising for differences in turbine location and other variables. The DNV review included a look at the methodology, data selection, uncertainty quantification, and reporting requirements. This latest iteration of WindESCo’s energy improvement analysis replaces a version approved by DNV in 2019.