A Technology Matrix for Bird and Bat Collision Avoidance at Wind Turbines - Schoden, Fabian; German Wind Energy Conference DEWEK (Bremen, 2017)
Reducing the collision risk for birds and bats at wind turbines is a technologically demanding task. We have sur- veyed state-of-the-art products and research for bird and bat detection as well as suitable deterrents. To frame this topic, we look at the stakeholders involved and their requirements to be satisfied when using detecting and deterring technology. We examine the suitability of sensors and deterrents in light of these requirements. Furthermore, we point out which technologies require further research to be usable for detecting and deterring in the future. Finally, to look into the promises of artificial intelligence (A.I.) techniques for processing and assessing data from a camera, we have retrained the Google’s neural net Inception V3 and are able to detect birds and even classify them auto matically.
published
Keywords: conference paper