A multi-objective design optimization approach for floating offshore wind turbine support structures

Karimi, Mohammad; Hall, Matthew; Buckham, Bradley J.; Crawford, Curran

doi:10.1007/s40722-016-0072-4

Cited by 81 publications

(51 citation statements)

References 25 publications

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“…A spar buoy platform is one of the structures that is currently used in offshore wind projects and has been selected in this study for cost analysis as shown in Figure 14. The approach used in this paper is to define a design parameterization for the support structure as well as a linearized frequency domain dynamic model which evaluates the stability of the floating system using the NREL 5 MW offshore wind turbine [100,101]. The support structure parametrization pattern used in this work provided the spar buoy platforms with a limited number of design variables.…”

Section: Real-life Application (Cost For Floating Offshore Wind Turbimentioning

confidence: 99%

“…The stability of the system is evaluated by calculating the complex response amplitude operator (RAO) for all modes of motion. More details about the dynamic model and platform parameterization can be found in [101].…”

Section: Real-life Application (Cost For Floating Offshore Wind Turbimentioning

confidence: 99%

“…In this study, the platform cost contains the materials, manufacturing, and installation costs using a constant cost factor of $2.5/kg [100,101]. The mooring system cost is calculated using the length of the mooring lines and the maximum steady state mooring line tension with a factor of $0.42/m kN.…”

Section: Of 30mentioning

confidence: 99%

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A Comparative Study on Recently-Introduced Nature-Based Global Optimization Methods in Complex Mechanical System Design

2017

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Advanced global optimization algorithms have been continuously introduced and improved to solve various complex design optimization problems for which the objective and constraint functions can only be evaluated through computation intensive numerical analyses or simulations with a large number of design variables. The often implicit, multimodal, and ill-shaped objective and constraint functions in high-dimensional and "black-box" forms demand the search to be carried out using low number of function evaluations with high search efficiency and good robustness. This work investigates the performance of six recently introduced, nature-inspired global optimization methods: Artificial Bee Colony (ABC), Firefly Algorithm (FFA), Cuckoo Search (CS), Bat Algorithm (BA), Flower Pollination Algorithm (FPA) and Grey Wolf Optimizer (GWO). These approaches are compared in terms of search efficiency and robustness in solving a set of representative benchmark problems in smooth-unimodal, non-smooth unimodal, smooth multimodal, and non-smooth multimodal function forms. In addition, four classic engineering optimization examples and a real-life complex mechanical system design optimization problem, floating offshore wind turbines design optimization, are used as additional test cases representing computationally-expensive black-box global optimization problems. Results from this comparative study show that the ability of these global optimization methods to obtain a good solution diminishes as the dimension of the problem, or number of design variables increases. Although none of these methods is universally capable, the study finds that GWO and ABC are more efficient on average than the other four in obtaining high quality solutions efficiently and consistently, solving 86% and 80% of the tested benchmark problems, respectively. The research contributes to future improvements of global optimization methods.

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Section: Real-life Application (Cost For Floating Offshore Wind Turbimentioning

confidence: 99%

Section: Real-life Application (Cost For Floating Offshore Wind Turbimentioning

confidence: 99%

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A Comparative Study on Recently-Introduced Nature-Based Global Optimization Methods in Complex Mechanical System Design

2017

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“…The stability of the energy platform over the water can be achieved via bed anchoring and multiple body platforms [3]. Karimi M., has proposed three types of pillars for wind turbine shown in Figure1.…”

Section: Introductionmentioning

confidence: 99%

“…1. The three classes of offshore floating wind turbine support platforms: a mooring stabilized (tension-leg), b ballast stabilized (spar buoy), and c buoyancy stabilized (semi-submersible) [3] Total fifteen number pillar has considered to carry out the calculation of fluid behavior which interacts first, second, third, fourth and fifth rows of pillars. A closed contour with water inlet and outlet are considered which consist 15 circular and rectangular cross-section pillars of 1-meter height.…”

Section: Introductionmentioning

confidence: 99%

Computational Study of Flow over Cascade Arrangement of Bluff Bodies with Different Geometries

Kumar¹,

Sachendra²,

Singhal³

2017

Preprint

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---Most of the structures in flowing water are a challenge to their stability and sustainable with different flow conditions. Recent, renewable energy research and development covers ocean and river energy platform in which flow of water drag considered in various conversion devices towards the offshore and onshore establishment. Various energy platforms have been suggested for offshore development. However, the stability of these platforms in water is a serious concern. To study the water interaction over circular and square cross-section cascade system under the water has been carried out. Water flow around the pillars or column of the energy platform are analyzed through simulation software. Very low velocity 0.5 m/s has been considered to analyze the system. Total fifteen numbers of cascade pillars having circular and square cross-section area were considered. K-ε turbulence model is adopted to calculate the flow interaction to the column. A velocity, pressure, and energy fields are found around the column..

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Harmonic linearisation of aerodynamic loads in a frequency‐domain model of a floating wind turbine

Lupton

Langley

2020

Wind Energy

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While detailed aero-servo-hydro-elastic simulation codes for modelling floating wind turbines (FWTs) are available, they achieve high accuracy at the expense of calculation speed. For conceptual design and optimisation, fast solutions are needed, and equivalent linearisation techniques combined with frequency-domain analysis offers to capture the complex behaviour of FWTs in fast, approximate models. The main aim of this paper is to apply a harmonic linearisation approach to model the aerodynamic loading within a complete coupled model of a FWT, quantifying its performance, and where accuracy is unsatisfactory, to give insight into the causes.Two linearised models are derived from a coupled nonlinear aero-hydro-servo-elastic model, using the OC3-Hywind FWT as a test case: the typical tangent linearisation derived by numerical perturbation of the nonlinear model and the harmonic linearisation yielding improved representation of the aerodynamic loads. Comparisons against nonlinear time-domain simulations from Bladed show that it is possible to create a frequency-domain model of a FWT, including a flexible structure, aeroelastic rotor loads and the effect of the control system, with reasonable accuracy.The biggest source of errors is the presence of additional harmonics caused by nonlinear interactions between loads at different frequencies, rather than inaccurate linearisation of the magnitudes of forces. The computational cost of the harmonic linearisation implemented varies, but in most cases is 10× slower than the tangent linearisation and 100× faster than the time domain solution.

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A multi-objective design optimization approach for floating offshore wind turbine support structures

Cited by 81 publications

References 25 publications

A Comparative Study on Recently-Introduced Nature-Based Global Optimization Methods in Complex Mechanical System Design

A Comparative Study on Recently-Introduced Nature-Based Global Optimization Methods in Complex Mechanical System Design

Computational Study of Flow over Cascade Arrangement of Bluff Bodies with Different Geometries

Harmonic linearisation of aerodynamic loads in a frequency‐domain model of a floating wind turbine

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