Wind energy has become one of the most important forms of renewable energy. Wind
energy conversion systems are more sophisticated and new approaches are required based …

The design of a wind turbine blade is a typical complex multi-objective optimization problem,
mostly solved by evolutionary algorithms. However, these methods are not effective due to …

A novel U-type Darrieus Wind Turbine (UDWT) is proposed by this study. During the design
and optimization of UDWT, Machine Learning (ML) method based on BPNN and three …

This article describes the application of neural networks for the design optimization of a
curved wind turbine blade using an aero-elastic simulator with synthetic inflow turbulence. A …

This paper presents two methods for supporting investments and resource allocation in a
constrained risky environment. These methods are based on the application of logical …

The application of evolutionary algorithms to wind turbine blade design can be interesting,
by reducing the number of aerodynamic-to-structural design loops in the conventional …

Abstract Design optimization of the wind turbine of a NREL 1.5-MW HAWT blade was
studied to minimize the fluctuation of the bending moment of the blade in turbulent wind. In …

Flow machines are very important to industry, being widely used on various processes.
Performance improvements are relevant factors and can be achieved by using optimization …

Flow machines are very important to industry, being widely used on various processes.
Thus, performance improvements are relevant and can be achieved by using topology …

Modern large wind turbines, utilized to harness the kinetic energy of the wind, are rated at
megawatts in output power. The design of large wind turbine blades must consider both their …