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The Birmingham Blade: geographically tailored urban wind turbine designed by AI
Simulations confirmed the Birmingham Blade is up to seven times more efficient than existing designs in Birmingham’s wind speeds and urban environment.
Developed by a research group led by Dr Kit Windows-Yule at the University of Birmingham, EvoPhase’s AI-led evolutionary design process mimics natural selection, this approach allows for simultaneous optimisation of many different parameters, avoiding traditional trade-offs between performance factors. Paul Jarvis from KwikFab is confident that there is sufficient talent and space in Birmingham to deliver quick turnaround from design to prototyping for wind turbines that are geographically tailored to specific local conditions around the rest of the world. EvoPhase uses cutting-edge evolutionary algorithms developed at the University of Birmingham to enhance design and performance, providing proven, predictive solutions that are ready for real-world application, and is dedicated to driving innovation and supporting industries in achieving their efficiency and sustainability goals.
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