In the Pursuit of Eco-Friendly Wind Energy – Unmanned Aerial Systems and Computational Strategies

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Von-Melle-Park 4

Von-Melle-Park 4

Poster

Beschreibung

The project Drones4Bats, funded by the BMWK, employs computational methodologies with autonomous unmanned aerial systems (UAS) to enhance bat-friendly wind turbine systems (WTS) operation and increase wind energy output. It involves developing and comparing various UAS technologies, including Multicopters, specialized bat-friendly UAS, and lighter-than-air UAS. Key computational methods include advanced algorithms for wind turbine blade detection using 77GHz radar, secure ranging and autonomous landing with Ultra-Wideband for recharging, integrated into diverse flight stacks. The project systematically examines UAV impacts on bats, explores economic and ecological potential, and utilizes machine learning algorithms for cloud-based data evaluation. Field-testing shall optimize WTS siting, minimize shutdowns, reduce bat fatalities, and accelerate renewable energy production, addressing the green-green dilemma of climate protection and species conservation.

Keywords

Sensor Integration
Unmanned Aerial Systems
Cloud-Based Data Evaluation
Eco-Friendly Technology

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Autor

Prof. Tessa T. Taefi (Hochschule für Angewandte Wissenschaften Hamburg)

Co-Autoren

Dr. Anna Roswag (Vespertillio Faunistische Untersuchungen) Herr Gerald Peklar (NXP Semiconductors Hamburg) Herr Marc Roswag (Hochschule für Angewandte Wissenschaften Hamburg) Dr. Matthias Roswag (Vespertillio Faunistische Untersuchungen) Herr Sven Stölzel (WindStrom Erneuerbare Energien) Prof. Veit Dominik Kunz (Hochschule für Angewandte Wissenschaften Hamburg)

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