NDLI: Metamodel-Assisted Ice Detection for Wind Turbine Blades

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Malave´, Veruska Cameron, J. Turner
Copyright Year	2011
Abstract	Icing is a complex atmospheric phenomenon that causes airflow disruption and degrades aerodynamically the original performance of the wind turbine blades (WTBs). This is due to blade sensitivity to minor changes in the airfoil geometry. Aerodynamic distortions induced by ice decrease the lift-to-draft ratio and pitch moment, increase the airfoil weight, and adversely alter the effectiveness of position angle and velocity. Typically, wind turbines exposed to all-weather conditions are equipped with icing prevention systems (IPS). However at the present time, no ice-detection technique has been proven effective, and the implementation of new strategies that effectively detect and mitigate blade icing adverse effects are needed. In this work, a WTB ice-detection technique that consists of a numerical design tool using Matlab/Simulink models and non-uniform rational B-spline (NURBs) based metamodeling algorithms is examined. This is carried out in terms of the blade icing effects on turbine aerodynamic performance in accordance to condition-based maintenance (CBM) and prognostics health management (PHM) techniques.
Starting Page	565
Ending Page	572
Page Count	8
File Format	PDF
ISBN	9780791854891
DOI	10.1115/IMECE2011-62480
Volume Number	Volume 3: Design and Manufacturing
Conference Proceedings	ASME 2011 International Mechanical Engineering Congress and Exposition
Language	English
Publisher Date	2011-11-11
Publisher Place	Denver, Colorado, USA
Access Restriction	Subscribed
Subject Keyword	Blades Airfoils Ice Maintenance Design Geometry Air flow Algorithms Weight (mass) Wind turbines Turbines B-splines Matlab
Content Type	Text
Resource Type	Article

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