A fully integrated optimization framework for  designing a complex geometry offshore wind  turbine spar-type floating support structure

Leimeister, Mareike; Collu, Maurizio; Kolios, Athanasios

doi:10.5194/wes-7-259-2022

Cited by 10 publications

(3 citation statements)

References 42 publications

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“…Recently, a fully integrated design optimization framework for spar type floater is developed and presented in [17]. Another GA is used, namely, the Non dominated Sorting Genetic Algorithm II (NSGAII), as well as other evolutionary algorithms that are useful when dealing with multi-objective optimization problems.…”

Section: Floating Offshore Wind Turbines Design Optimizationmentioning

confidence: 99%

Development of a Genetic Algorithm Code for the Design of Cylindrical Buoyancy Bodies for Floating Offshore Wind Turbine Substructures

Benifla

Adam

2022

Energies

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The Levelized Cost of Energy for floating offshore wind must decrease significantly to be competitive with fixed offshore wind projects or even with onshore wind projects. This study focuses on the design optimization of cylindrical buoyancy bodies for floating substructures of offshore wind turbines. The presented work is based on a previously studied buoyancy body design that allows an efficient manufacturing process and integration into different substructures. In this study, an optimization framework based on genetic algorithm is developed to parameterize the buoyancy body’s geometry and optimize its design in terms of cost, considering loads acting on the structure as well as manufacturing and floater specific dimension restrictions. The implementation of the optimization process is detailed, and tested for a given study case. Two structurally different genetic algorithms are considered in order to compare the results obtained and asses the performance of the presented optimization framework.

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Section: Floating Offshore Wind Turbines Design Optimizationmentioning

confidence: 99%

Development of a Genetic Algorithm Code for the Design of Cylindrical Buoyancy Bodies for Floating Offshore Wind Turbine Substructures

Benifla

Adam

2022

Energies

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“…The substructure capital cost constitutes a significant part of the life cycle cost for a floating wind farm. This consideration has driven a wide interest in adopting various optimisation algorithms to minimise the production cost for different floating substructure concepts [1][2][3]. The floating unit analysis is carried out in the frequency or time domain.…”

Section: Introductionmentioning

confidence: 99%

Surrogate-assisted optimization of floating wind turbine substructure

Baudino Bessone,

Singh,

Kalimeris

et al. 2024

J. Phys.: Conf. Ser.

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This paper presents a surrogate-assisted optimisation approach to speed up the substructure analysis in the preliminary design phase. The approach consists of replacing the radiation-diffraction analysis in a frequency domain analysis model for floating wind turbines with a data-driven surrogate model predicting the hydrodynamic coefficients for parameterised substructure geometries. This procedure is compared with the reference approach of estimating the hydrodynamic coefficients via radiation-diffraction analysis. A representative use case of assessing the trade-off between minimising the capital cost and reducing the wave-induced nacelle acceleration standard deviation for a semi-submersible substructure is presented. The accuracy of the surrogate model is found to increase significantly up to training datasets consisting of 400 designs and less noticeably afterwards. For a dataset consisting of 400 designs, the mean error on the prediction of the hydrodynamic coefficients and the error at one standard deviation from the mean are generally below 7% and 10%, respectively. For the same dataset size, the mean error on the most probable maximum wave-induced pitch over a 3h storm period is below 17%, while the error at one standard deviation from the mean is lower than 27%. The same values for the most probable maximum nacelle acceleration are under 7% and 12%, respectively. The surrogate model can capture the trade-off between the two objective functions, and the optimal designs identified with the surrogate model generally follow the same trend as those obtained with the reference model. However, relying on the surrogate model for performing the analysis of the substructure introduces local minima in the objective function that cause a discrepancy between the optimal designs identified with the surrogate model and those identified with the reference model.

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“…Another approach used a low fidelity nonlinear hydrodynamic model and controller [10]. A more detailed and higher fidelity optimization framework uses a fully nonlinear model and the Dymola framework to optimize a spar platform [11].…”

Section: Introductionmentioning

confidence: 99%

Floating wind turbine control optimization

Zalkind

Abbas

Jasa

et al. 2022

J. Phys.: Conf. Ser.

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We present a framework for optimizing the control parameters of floating offshore wind turbines (FOWTs). The framework combines aeroelastic simulations with a systems engineering model and control software. In an example of the optimization framework, we minimize tower damage equivalent loading with generator speed constraints. We also study the effect of thrust-limiting control and quantify the trade off between fatigue loading and energy capture using a set of optimal controller designs. Finally, we optimize the controller of four different FOWT models and compare their dynamic responses. Additional details and other use cases for the framework are presented, which can optimize different control problems and evaluate FOWT designs.

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A fully integrated optimization framework for designing a complex geometry offshore wind turbine spar-type floating support structure

Cited by 10 publications

References 42 publications

Development of a Genetic Algorithm Code for the Design of Cylindrical Buoyancy Bodies for Floating Offshore Wind Turbine Substructures

Development of a Genetic Algorithm Code for the Design of Cylindrical Buoyancy Bodies for Floating Offshore Wind Turbine Substructures

Surrogate-assisted optimization of floating wind turbine substructure

Floating wind turbine control optimization

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