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

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  • Son, Eunkuk
  • Lee, Seungmin
  • Hwang, Byeongho
  • Lee, Soogab

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.

Suggested Citation

  • Son, Eunkuk & Lee, Seungmin & Hwang, Byeongho & Lee, Soogab, 2014. "Characteristics of turbine spacing in a wind farm using an optimal design process," Renewable Energy, Elsevier, vol. 65(C), pages 245-249.
    • Handle: RePEc:eee:renene:v:65:y:2014:i:c:p:245-249
    DOI: 10.1016/j.renene.2013.09.022
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    References listed on IDEAS

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    1. Grady, S.A. & Hussaini, M.Y. & Abdullah, M.M., 2005. "Placement of wind turbines using genetic algorithms," Renewable Energy, Elsevier, vol. 30(2), pages 259-270.
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    1. Ahmadi-Baloutaki, Mojtaba & Carriveau, Rupp & Ting, David S-K., 2016. "A wind tunnel study on the aerodynamic interaction of vertical axis wind turbines in array configurations," Renewable Energy, Elsevier, vol. 96(PA), pages 904-913.
    2. Rafael V. Rodrigues & Corinne Lengsfeld, 2019. "Development of a Computational System to Improve Wind Farm Layout, Part I: Model Validation and Near Wake Analysis," Energies, MDPI, vol. 12(5), pages 1-24, March.
    3. Antonio Colmenar-Santos & Severo Campíez-Romero & Lorenzo Alfredo Enríquez-Garcia & Clara Pérez-Molina, 2014. "Simplified Analysis of the Electric Power Losses for On-Shore Wind Farms Considering Weibull Distribution Parameters," Energies, MDPI, vol. 7(11), pages 1-30, October.
    4. Alain Hertz & Odile Marcotte & Asma Mdimagh & Michel Carreau & François Welt, 2017. "Design of a wind farm collection network when several cable types are available," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(1), pages 62-73, January.
    5. Na, Ji Sung & Koo, Eunmo & Ko, Seung Chul & Linn, Rodman & Muñoz-Esparza, Domingo & Jin, Emilia Kyung & Lee, Joon Sang, 2019. "Stochastic characteristics for the vortical structure of a 5-MW wind turbine wake," Renewable Energy, Elsevier, vol. 133(C), pages 1220-1230.

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