ABSTRACT
Wind energy technology shows an increase in the calreports of wind power capacity, expectations of market expansion and international research projects. Wind turbines are one of the essential devices used in the wind energy sector, and installed at offshore locations. Optimization techniques can be categorized as traditional and non-traditional. Traditional techniques are analytical, and it is only proper to obtain the optimum solutions of continuous and differentiable functions. Design and optimization problems of floating offshore wind turbine (FOWT) contain sophisticated and high non-linear functions. In these circumstances, the stochastic optimization methods such as Genetic Algorithms, Differential Evolution, and Simulated Annealing are proper for these problems. Efficient operation of an offshore wind turbine structure requires a favorable degree of shape optimization. Therefore, the geometry of the engineering systems should be optimized. This chapter discusses the hydrodynamics effect on the substructure of National Renewable Energy Laboratory (NREL) 5 MW tension leg platform-type FWOT by employing multiple nonlinear regression analysis models using Mathematica.
