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http://dx.doi.org/10.12989/was.2014.18.3.253

Optimal design of floating substructures for spar-type wind turbine systems  

Choi, Ejae (School of Mechanical Engineering, Pusan National University)
Han, Changwan (School of Mechanical Engineering, Pusan National University)
Kim, Hanjong (School of Mechanical Engineering, Pusan National University)
Park, Seonghun (School of Mechanical Engineering, Pusan National University)
Publication Information
Wind and Structures / v.18, no.3, 2014 , pp. 253-265 More about this Journal
Abstract
The platform and floating structure of spar type offshore wind turbine systems should be designed in order for the 6-DOF motions to be minimized, considering diverse loading environments such as the ocean wave, wind, and current conditions. The objective of this study is to optimally design the platform and substructure of a 3MW spar type wind turbine system with the maximum postural stability in 6-DOF motions as well as the minimum material cost. Therefore, design variables of the platform and substructure were first determined and then optimized by a hydrodynamic analysis. For the hydrodynamic analysis, the body weight of the system was considered, and the ocean wave conditions were quantified to the wave forces using the Morison's equation. Moreover, the minimal number of computation analysis models was generated by the Design of Experiments (DOE), and the design variables of the platform and substructure were finally optimized by using a genetic algorithm with a neural network approximation.
Keywords
floating offshore wind turbines (FOWT); multi-objective optimization; hydrodynamic diffraction analysis; response amplitude operators; artificial neural network; genetic algorithm;
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