Investigating the Power-COE trade-off for wind farm layout optimization considering commercial turbine selection and hub height variation

Mamdouh Abdulrahman and David Wood

Renewable Energy, 2017, vol. 102, issue PB, 267-278

Abstract: New aspects were added to the wind farm layout optimization problem by including commercial turbine selection and a realistic representation for the thrust coefficient. The available manufacturers' data were used to develop generic representation for the thrust coefficient, on which the wake and power calculations mainly depend. A simple field-based cost model was implemented. The optimization was performed for onshore and offshore conditions using MATLAB genetic algorithm, ga, solver for two simple test cases. Three objective functions were considered, individually: (1) the output power, (2) the capacity factor, and (3) the cost per output power.

Keywords: Wind farm layout optimization; Genetic algorithm; Commercial turbine selection; Wind turbine thrust; Hub height variation (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:102:y:2017:i:pb:p:267-278

DOI: 10.1016/j.renene.2016.10.038

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