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Smart Rotor Modeling Aero-Servo-Elastic Modeling of a Smart Rotor with Adaptive Trailing Edge Flaps /
A smart rotor is a wind turbine rotor that, through a combination of sensors, control units and actuators actively reduces the variation of the aerodynamic loads it has to withstand. Smart rotors feature a promising load alleviation potential, and might provide the technological breakthrough require...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Edición: | 1st ed. 2014. |
| Colección: | Research Topics in Wind Energy,
3 |
| Temas: | |
| Acceso en línea: | Texto Completo |
| Sumario: | A smart rotor is a wind turbine rotor that, through a combination of sensors, control units and actuators actively reduces the variation of the aerodynamic loads it has to withstand. Smart rotors feature a promising load alleviation potential, and might provide the technological breakthrough required by the next generation of large wind turbine rotors. The book presents the aero-servo-elastic model of a smart rotor with Adaptive Trailing Edge Flaps for active load alleviation, and provides an insight on the rotor aerodynamic, structural, and control modeling. A novel model for the unsteady aerodynamics of an airfoil section with flap is presented, and coupled with a multi-body structural representation. A smart rotor configuration is proposed, where the Adaptive Trailing Edge Flaps extend along the outer 20 % of the blade span. Linear Quadratic and Model Predictive algorithms are formulated to control the flap deflection. The potential of the smart rotor is finally confirmed by simulations in a turbulent wind field. A significant reduction of the fatigue loads on the blades is reported: the flaps, which cover no more than 1.5 % of the blade surface, reduce the fatigue load by 15 %; a combination of flap and individual pitch control allows for fatigue reductions up to 30 %. |
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| Descripción Física: | X, 156 p. 72 illus., 60 illus. in color. online resource. |
| ISBN: | 9783319073651 |
| ISSN: | 2196-7814 ; |