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03354nam a22005055i 4500 |
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978-3-319-07365-1 |
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DE-He213 |
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20151116133835.0 |
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140530s2014 gw | s |||| 0|eng d |
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|a 9783319073651
|9 978-3-319-07365-1
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|a 10.1007/978-3-319-07365-1
|2 doi
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|a 621.042
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|a Bergami, Leonardo.
|e author.
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|a Smart Rotor Modeling
|h [electronic resource] :
|b Aero-Servo-Elastic Modeling of a Smart Rotor with Adaptive Trailing Edge Flaps /
|c by Leonardo Bergami.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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| 300 |
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|a X, 156 p. 72 illus., 60 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Research Topics in Wind Energy,
|x 2196-7806 ;
|v 3
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|a Introduction -- Simulation Environment -- Load Analysis -- ATEFlap Aerodynamic Model -- Adaptive Trailing Edge Flap placement -- Preliminary evaluation with feed-forward cyclic control -- Model Based control algorithms for a rotor with ATEF -- Summary of findings and future work -- Conclusion.
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|a 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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|a Energy.
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|a Renewable energy resources.
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|a Fluids.
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|a Renewable energy sources.
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|a Alternate energy sources.
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|a Green energy industries.
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|a Energy.
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|a Renewable and Green Energy.
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|a Renewable and Green Energy.
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|a Fluid- and Aerodynamics.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783319073644
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| 830 |
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|a Research Topics in Wind Energy,
|x 2196-7806 ;
|v 3
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-07365-1
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENE
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| 950 |
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|a Energy (Springer-40367)
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