A site-specific design of a fixed-pitch fixed-speed wind turbine blade for energy optimization using surrogate models

Arturo Del Valle Carrasco, Delia J. Valles-Rosales, Luis C. Mendez and Manuel I. Rodriguez

Renewable Energy, 2016, vol. 88, issue C, 112-119

Abstract: This work seeks to add a new approach to optimize a wind turbine blade's performance by implementing a surrogate model using the Kriging function with the chord, twist and the use of 3 different airfoils as design variables for the maximization of the Annual Energy Production. A combination of Genetic Algorithms and the SQP method for Local Search are used to exploit the model. A baseline design of the blade starts with a replica of the Phase VI blade utilized in a NASA-Ames experiment and a MatLab script utilizes the Blade Element Momentum Theory (BEM) for the aerodynamic analysis. Results show a 23% improvement in energy production by using this method.

Keywords: BEM; Kriging; Optimization; HAWT; Wind energy (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:88:y:2016:i:c:p:112-119

DOI: 10.1016/j.renene.2015.11.018

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