Adaptive Wind Turbine Management System to Prevent Bird Deaths

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.

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Publication Details

Journal
International Journal of Multidisciplinary Studies and Innovative Technologies
Published
2025-01-01
DOI
https://doi.org/10.36287/ijmsit.9.1.1
Primary Topic
Wildlife Conservation and Criminology Analyses
Type
article
Field-Weighted Citation Impact
0.00
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article

Adaptive Wind Turbine Management System to Prevent Bird Deaths

Gürkan Tuna, Zeynep Bayraktar, Galip Berk
International Journal of Multidisciplinary Studies and Innovative Technologies
Wildlife Conservation and Criminology Analyses
article

Adaptive Wind Turbine Management System to Prevent Bird Deaths

Gürkan Tuna, Zeynep Bayraktar, Galip Berk
article en

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.

International Journal of Multidisciplinary Studies and Innovative TechnologiesVol. 9(1)
Trakya University (TR)
Affordable and clean energy
Openalex Percentile: Top 80%
Wildlife Conservation and Criminology Analyses
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