Bat Curtailment Compliance Reporting at Scale

Jordan Rutledge, Data Analyst, Deriva Energy

Bat curtailment for wind turbines is required in order to be compliant with the guidelines of the U.S. Fish and Wildlife Service. Using Seeq Data Lab, in collaboration with a data science team, this project utilizes python code in order to create capsules for active bat curtailment and missed bat curtailment. The calculations for these capsules at turbine level are then scaled for the entire wind fleet in order to produce a scorecard metric for each wind site. The scorecard metric is achieved using an OData export of all capsules to Power BI. This project gives visibility to the accuracy of bat curtailment at each wind site and allows site engineers to identify events of missed bat curtailment.