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Investigating the interactions between wakes and floating wind turbines using FAST.Farm
by
Jonkman, Jason
, Thedin, Regis
, Lucas Carmo
in
Arrays
/ Boundary conditions
/ Deflection
/ Environmental conditions
/ Farms
/ Investigations
/ Offshore
/ Renewable energy
/ Simulation
/ Turbines
/ Turbulence models
/ Wind farms
/ Wind power
2024
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Investigating the interactions between wakes and floating wind turbines using FAST.Farm
by
Jonkman, Jason
, Thedin, Regis
, Lucas Carmo
in
Arrays
/ Boundary conditions
/ Deflection
/ Environmental conditions
/ Farms
/ Investigations
/ Offshore
/ Renewable energy
/ Simulation
/ Turbines
/ Turbulence models
/ Wind farms
/ Wind power
2024
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Do you wish to request the book?
Investigating the interactions between wakes and floating wind turbines using FAST.Farm
by
Jonkman, Jason
, Thedin, Regis
, Lucas Carmo
in
Arrays
/ Boundary conditions
/ Deflection
/ Environmental conditions
/ Farms
/ Investigations
/ Offshore
/ Renewable energy
/ Simulation
/ Turbines
/ Turbulence models
/ Wind farms
/ Wind power
2024
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Investigating the interactions between wakes and floating wind turbines using FAST.Farm
Journal Article
Investigating the interactions between wakes and floating wind turbines using FAST.Farm
2024
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Overview
As floating offshore wind progresses to commercial maturity, wake and array effects across a farm of floating offshore wind turbines (FOWTs) will become increasingly important. While wakes of land-based and bottom-fixed offshore wind turbines have been extensively studied, only recently has this topic become relevant for floating turbines. This work presents an investigation of the mutual interaction between the motions of floating wind turbines and wakes using FAST.Farm. While FAST.Farm has been extensively validated across a wide range of conditions, it has never been validated for FOWT applications. Hence, in the first part of this work, we validate FAST.Farm by comparing simulations of a single FOWT against high-fidelity results from large-eddy simulations available in the literature. The validation is based on wake meandering, mean wake deflection, and velocity deficit at different downstream locations. This validation showed that the original axisymmetric (polar) wake model of FAST.Farm overpredicts the vertical wake deflection induced by shaft tilt and floater pitch, while the new curled wake model is capable of properly capturing the vertical wake deflection. In the second part, we use FAST.Farm to analyze a small three-unit array of FOWTs with a spacing of 7 diameters across a wide range of environmental conditions. The same National Renewable Energy Laboratory 5 MW reference wind turbine atop the OC4-DeepCwind semisubmersible is adopted for the three FOWTs and for the validation against high-fidelity simulations. To assess the effect of the floating substructure, we compare the power production, tower-base moments, and blade-root moments obtained for the floating turbines with the results obtained in a fixed-bottom configuration. The main differences introduced by the floating substructure are the motions induced by the waves, the change in the natural frequencies of the tower caused by differences in the boundary condition at its base, and the larger vertical deflection of the wake deficit due to the mean pitch of the platform. The impact of these differences, as well as other minor effects, are analyzed in detail.
Publisher
Copernicus GmbH,Copernicus Publications
Subject
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