Year: 2025
Type: article
Abstract: The goal of this study is to preserve the ecological balance by reducing bird mortality caused by wind turbines. To accomplish this goal, a system has been designed that will colour the turbine blades with distinct coloured paints, identify when bird flocks approach the turbines, and dynamically limit turbine speed. Bird movements are tracked using high-resolution cameras and distance sensors, and the proximity of bird flocks to turbines is determined using an artificial intelligence system. The combined usage of the visual improvement and detection technology results in a significant reduction in bird collisions. According to field experiments, the system performs better in clear weather than in foggy weather. The findings show that the proposed system is an innovative method to improve environmental sustainability in wind energy generation.
Authors: Zeynep Bayraktar, Galip Berk, Gürkan Tuna
Institutions: Mi̇lli̇ Eği̇ti̇m Bakanliği, Trakya University
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: bronze
OpenAlex ID: W4413046766