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Optimal Micro-Siting of Weathervaning Floating Wind Turbines

Department of Electrical Engineering, University of Seville, 41092 Seville, Spain
Department of Electronic Engineering, Telecommunications and Automation, University of Jaen, 23071 Jaen, Spain
Author to whom correspondence should be addressed.
Academic Editor: Davide Astolfi
Energies 2021, 14(4), 886;
Received: 16 December 2020 / Revised: 25 January 2021 / Accepted: 2 February 2021 / Published: 8 February 2021
This paper presents a novel tool for optimizing floating offshore wind farms based on weathervaning turbines. This solution is grounded on the ability of the assembly (wind turbine plus floater) to self-orientate into the wind direction, as this concept is allowed to freely pivot on a single point. This is a passive yaw potential solution for floating wind farms currently in the demonstration phase. A genetic algorithm is proposed for optimizing the levelised cost of energy by determining the geographical coordinates of the pivot points (i.e., the position over which the assembly can rotate to self-orient to the incoming wind direction). A tailored evaluation module is proposed to take into account the weathervaning motion around the pivot point depending on the incoming wind direction. The results obtained show the suitability of the proposed method to solve the addressed problem under realistic conditions. Additionally, the influence of the feasible region defined by the plot and the maximum area occupied on floating offshore wind farm design are also analysed in the proposed test cases. These deployable area constraints are of great importance for the viability of this technology, as it requires more space than classical solutions anchored to a fixed point. View Full-Text
Keywords: floating offshore; micro-siting; offshore wind farm; optimal layout; passive yaw control floating offshore; micro-siting; offshore wind farm; optimal layout; passive yaw control
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MDPI and ACS Style

Serrano González, J.; Burgos Payán, M.; Riquelme Santos, J.M.; González Rodríguez, Á.G. Optimal Micro-Siting of Weathervaning Floating Wind Turbines. Energies 2021, 14, 886.

AMA Style

Serrano González J, Burgos Payán M, Riquelme Santos JM, González Rodríguez ÁG. Optimal Micro-Siting of Weathervaning Floating Wind Turbines. Energies. 2021; 14(4):886.

Chicago/Turabian Style

Serrano González, Javier, Manuel Burgos Payán, Jesús M. Riquelme Santos, and Ángel G. González Rodríguez. 2021. "Optimal Micro-Siting of Weathervaning Floating Wind Turbines" Energies 14, no. 4: 886.

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