Ruggero Ferrari
Optimization of the spatial disposition of an array of floating offshore wind turbines using a Python genetic algorithm.
Rel. Sergej Antonello Sirigu, Emilio Faraggiana. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Energetica E Nucleare, 2023
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Abstract
Electricity has a social value as well as a monetary one, which is constantly increasing. It is a strategic asset that has become indispensable for years. For this reason, the energy production sector is fundamental, as is sustainable production, given the ongoing climate change. The aim of this study is to optimize the spatial arrangement of an off-shore floating wind turbine array in such a way as to increase the efficiency and maximize the energy yield in relation to the cost of the initial investment. The problem was tackled by combining two different analyses: a fluid dynamics one and an optimization one.
The first one allowed to simulate the aerodynamic interactions between the turbines and the wind speed field, using analytical relations such as the Jensen model and the Bastankhah Gaussian model for the calculation of the wakes, accompanied by models for the calculation of the blockage effect, models for the turbulence, to simulate the ground effect or to model the rotors
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