Characteristics of turbine spacing in a wind farm using an optimal design process

Eunkuk Son, Seungmin Lee, Byeongho Hwang and Soogab Lee

Renewable Energy, 2014, vol. 65, issue C, 245-249

Abstract: The characteristics of turbine spacing for optimal wind farm efficiency were investigated using combined numerical models. The effects of wakes from upstream turbines were predicted by a model capable of determining velocity distributions on a rotor plane, based on Ainslie's approach. The performance results of a wind farm showed good agreement with measurements. The blade element momentum theory, in combination with a dynamic wake model, was applied. Wake model used the results of aerodynamic analysis as input properties. The optimal distance between wind turbines was predicted using a genetic algorithm to maximize efficiency in a wind farm. The results showed that the spacing between the first and the second turbines had the importance to the entire farm's efficiency.

Keywords: Wake model; Wind farm efficiency; Optimal turbine spacing; Genetic algorithm (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:65:y:2014:i:c:p:245-249

DOI: 10.1016/j.renene.2013.09.022

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