The adaptive-blade concept in wind-power applications

One of the technological challenges in wind power is the development of a next generation of feasible upscaled turbines of cheaper construction that may further reduce generation costs. But limitations in the current blade technology constitute a technological barrier that needs to be overcome. As the size of the typical turbine increases, savings in weight and complexity in the rotor design and its auxiliary mechanisms, like the pitch-control actuators, become more important. The notion of smart or intelligent advanced blades that can control themselves and reduce (or completely eliminate) the need of an active control system is a very attractive prospect for future developments in blade technology. The idea of wind turbine rotors which automatically adapt to the meteorological and working conditions is not entirely new. It has been around for the last two or three decades, and several control systems have been proposed to achieve this goal using either a purely-passive or a combination of active-passive means. Blade adaptiveness can be achieved by means of inducing coupling among modes of deformation of the blade which are usually only slightly coupled. For instance, coupling between bending and twisting can be used to control power production, to reduce vibration and extreme loads, and to improve fatigue performance. In this case, as aerodynamic loads begin to bend the blade, flexo-torsional modes induce a twist. This changes the angle of attack on the airfoil sections, reducing the lift force acting on the blade. In this paper, we are going to review different aspects of the adaptive-blade concept development, covering a historical overview, recent advances, and future trends. Fil: Ponta, Fernando Luis. Michigan Technological University; Estados Unidos Fil: Otero, Alejandro Daniel. Michigan Technological University; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Rajan, Anurag. Michigan Technological University; Estados Unidos Fil: Lago, Lucas Ignacio. Michigan Technological University; Estados Unidos