TL;DR:
- Germany’s ZSW receives the “AI Champion” award for their BirdRecorder system.
- BirdRecorder utilizes AI and machine learning to prevent bird collisions with wind turbines.
- The system accurately detects bird species, calculates flight paths, and shuts down turbines accordingly.
- It enables the development of wind energy while ensuring wildlife conservation.
- BirdRecorder can detect birds up to 700 meters away, providing ample time for turbine adjustments.
- Live testing in 2022 was successful, and validation by the Swiss Ornithological Institute is underway.
Main AI News:
In a significant achievement for renewable energy research, Germany’s Centre for Solar Energy and Hydrogen Research Baden-Württemberg (ZSW) has received the prestigious title of “AI Champion” for its groundbreaking system that utilizes artificial intelligence (AI) to prevent birds from colliding with wind turbines. This remarkable technology has garnered recognition from the Baden-Württemberg Ministry of Economic Affairs.
ZSW’s innovative solution, known as BirdRecorder, employs a sophisticated combination of AI and machine learning algorithms. Its primary objective is to identify the species of birds approaching the wind turbines, enabling the system to predict their flight paths accurately. By doing so, BirdRecorder can initiate the necessary measures to shut down specific turbines, effectively avoiding potentially harmful collisions.
Anton Kaifel, the leader of ZSW’s Artificial Intelligence team, explains the pivotal role of their anti-collision system in advancing wind energy development while ensuring harmonious coexistence with wildlife conservation groups. “The development of our anti-collision system has become an essential tool in fostering the growth of wind energy without compromising the well-being of our avian counterparts,” he asserts. The recognition bestowed upon ZSW with this award only serves to reaffirm the significance of their achievement. Kaifel adds, “Our AI solution, the BirdRecorder, is instrumental in driving the energy transition and expediting transformative change.”
It is crucial to note that halting a wind turbine abruptly is not a viable option due to the immense mechanical strain it may cause. Consequently, it is essential to provide sufficient time for the turbine control system to engage and transition the turbine into a safe coasting mode. Once the BirdRecorder system identifies the departure of the bird from the intervention zone, a signal is promptly sent to resume normal turbine operations.
What sets BirdRecorder apart is its exceptional ability to detect birds such as the red kite at distances of up to 700 meters, affording ample time to initiate the coasting mode on the necessary turbines. This impressive range ensures that potential collisions are mitigated effectively, significantly reducing the risk to avian species.
Following successful live testing in 2022, BirdRecorder is now poised for validation by the esteemed Swiss Ornithological Institute later this year. This validation process will further demonstrate the reliability and effectiveness of the system, solidifying its role as a game-changer in safeguarding wildlife and bolstering the transition to cleaner and sustainable energy sources.
Conclusion:
The recognition bestowed upon ZSW’s BirdRecorder highlights the transformative potential of AI in the renewable energy market. By effectively mitigating bird collisions with wind turbines, BirdRecorder paves the way for sustainable wind energy development while prioritizing wildlife conservation. This innovation not only addresses a critical environmental concern but also enhances the industry’s reputation by showcasing a commitment to responsible practices as the market seeks cleaner energy solutions. Technologies like BirdRecorder position companies at the forefront of the energy transition, driving competitiveness and fostering a positive environmental impact.
