Presentation Description: Various performance optimization strategies are implemented in the lifetime of a wind project. It’s always desirable to independently evaluate performance changes with some degree of confidence to justify the expenditures, because the performance changes are often smaller than uncertainties. Power curve and conditional power approaches are widely used. The power curve approach measures differences in power curves between pre and post strategy implementations. The performance change is then evaluated by combining power curves and site-specific nominal wind distribution. Conditional power approach directly compares the differences in power outputs between a targeted turbine with optimization strategies to be implemented and a control turbine without any modification, conditional to binned power outputs by the control turbine. Both turbines are compared to capture the initial differences before implementation, and post improvements after implementation. Subsequently a relative performance change can be evaluated. When the results from both approaches converge to a similar level, increased confidence in the evaluation can be expected. In this paper, we will present a performance improvement evaluation using both approaches for a leading-edge blade repair campaign at one of our operational wind projects and discuss how to reduce uncertainties and increase confidence in the evaluation.
Methodology: The presentation will be conducted using an interactive presentation through ppt.