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Evolutionary Lessons for Wind Farm Efficiency

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Evolution is providing the inspiration for University of Adelaide computer science research to find the best placement of turbines to increase wind farm productivity.

Senior Lecturer Dr Frank Neumann, from the School of Computer Science, is using a “selection of the fittest” step-by-step approach called “evolutionary algorithms” to optimise wind turbine placement. This takes into account wake effects, the minimum amount of land needed, wind factors and the complex aerodynamics of wind turbines.

“Renewable energy is playing an increasing role in the supply of energy worldwide and will help mitigate climate change,” says Dr Neumann. “To further increase the productivity of wind farms, we need to exploit methods that help to optimise their performance.”

For more on this article: http://www.sciencedaily.com/releases/2011/05/110504091842.htm

Source: Science Daily / University of Toronto

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