EvoPhase states that an artificial intelligence-supported design process was carried out to design and measure the efficiency of an urban wind turbine that can operate at wind speeds blowing in Birmingham, England. Most turbines 10 m/sn While it can operate efficiently at high speeds, the developed turbine 3,6 m/sn It can operate at low wind speeds such as
Leonard Nicusan, EvoPhase’s chief technology officer, says they aimed to develop a turbine that could capture Birmingham’s relatively low wind speeds while managing turbulence caused by surrounding buildings. At the same time, the turbine is suitable for roof installations. compact and lightweight states that it should be.
The company found the optimal design for curved wings rotating around a central point and, through simulations, compared existing designs used in the Birmingham area. Up to 7 times more efficient confirmed that it was.
Nicusan explains the benefits of artificial intelligence in designing wind turbines as follows: “Artificial intelligence has enabled us to explore design possibilities beyond the scope of traditional human experimentation. We were able to produce, test and improve more than 2,000 wind turbine designs in just a few weeks. “This has significantly accelerated our development process and we have achieved something that would have taken years and millions of pounds with traditional methods.”
EvoPhase’s artificial intelligence-supported evolutionary design process, developed by a research group at the University of Birmingham. It simulates natural selection. This approach avoids traditional trade-offs between performance factors. It allows multiple parameters to be optimized simultaneously.
Nicusan claimed that the final design is not just a prototype, but a predictive solution ready for real-world use. The first prototype of the Birmingham Blade, produced by KwikFab, focuses on demonstrating the production feasibility of the design. An aluminum version of the turbine will be placed on a rooftop in Birmingham for evaluation and testing. final product late 2025 is expected to be released.
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