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Evolutionary lessons for wind farm efficiency
Date:5/4/2011

many where he worked at the Max Planck Institute. He is working on wind turbine placement optimisation in collaboration with researchers at the Massachusetts Institute of Technology.

"Current approaches to solving this placement optimisation can only deal with a small number of turbines," Dr Neumann says. "We have demonstrated an accurate and efficient algorithm for as many as 1000 turbines."

The researchers are now looking to fine-tune the algorithms even further using different models of wake effect and complex aerodynamic factors.


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Contact: Dr. Frank Neumann
frank.neumann@adelaide.edu.au
61-883-134-477
University of Adelaide
Source:Eurekalert

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