Design Tool for Aeroelastic Analysis of Wind Turbine Blades Based on Geometrically Exact Beam Theory and Lifting Surface Method

2017 ◽  
Author(s):  
Jinge Chen ◽  
Xin Shen ◽  
Pengyin Liu ◽  
Xiaocheng Zhu ◽  
Zhaohui Du
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Beam Theory ◽  
Design Tool ◽  
Wind Turbine Blades ◽  
Surface Method ◽  
Lifting Surface ◽  
Aeroelastic Analysis ◽  
Geometrically Exact Beam ◽  
Geometrically Exact Beam Theory

Impact of Blade Flexibility on Wind Turbine Loads and Pitch Settings

2019 ◽  
Vol 141 (4) ◽  
Author(s):  
Xiaocheng Zhu ◽  
Jinge Chen ◽  
Xin Shen ◽  
Zhaohui Du
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Degrees Of Freedom ◽  
Turbine Blades ◽  
Beam Theory ◽  
Nonlinear Effects ◽  
Wind Turbine Blades ◽  
Aerodynamic Loads ◽  
Wind Speeds ◽  
Geometrically Exact Beam

Along with the upscaling tendency, lighter and so more flexible wind turbine blades are introduced for reducing material and manufacturing costs. The flexible blade deforms under aerodynamic loads and in turn affects the flow field, arising the aeroelastic problems. In this paper, the impacts of blade flexibility on the wind turbine loads, power production, and pitch actions are discussed. An advanced aeroelastic model is developed for the study. A free wake vortex lattice model instead of the traditionally used blade element momentum (BEM) method is used to calculate the aerodynamic loads, and a geometrically exact beam theory is adopted to compute the blade structural dynamics. The flap, lead-lag bending, and torsion degrees-of-freedom (DOFs) are all included and nonlinear effects due to large deflections are considered. The National Renewable Energy Laboratory (NREL) 5 MW reference wind turbine is analyzed. It is found that the blade torsion deformations are significantly affected by both the aerodynamic torsion moment and the sectional aerodynamic center offset with respect to the blade elastic axis. Simulation results further show that the largest bending deflection of the blade occurs at the rated wind speed, while the torsion deformation in toward-feather direction continuously increases along with the above-rated wind speed. A significant reduction of the rotor power is observed especially at large wind speed when considering the blade flexibility, which is proved mainly due to the blade torsion deformations instead of the pure-bending deflections. Lower pitch angle settings are found required to maintain the constant rotor power at above-rated wind speeds.

scholarly journals Multi-objective optimization of wind turbine blades using lifting surface method

Energy ◽  
2015 ◽  
Vol 90 ◽  
pp. 1111-1121 ◽  
Author(s):  
Xin Shen ◽  
Jin-Ge Chen ◽  
Xiao-Cheng Zhu ◽  
Peng-Yin Liu ◽  
Zhao-Hui Du
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Multi Objective Optimization ◽  
Wind Turbine Blades ◽  
Multi Objective ◽  
Surface Method ◽  
Lifting Surface

Optimization of Wind Turbine Blades Using Lifting Surface Method and Genetic Algorithm

2011 ◽  
Author(s):  
Xin Shen ◽  
Xiao-cheng Zhu ◽  
Zhao-hui Du
Keyword(s):  
Genetic Algorithm ◽  
Design Method ◽  
Turbine Blades ◽  
Optimization Method ◽  
Efficient Design ◽  
Wind Turbine Blades ◽  
Surface Method ◽  
Lifting Surface ◽  
Horizontal Axis Wind Turbines ◽  
Wake Model

This paper describes an optimization method for the design of horizontal axis wind turbines using the lifting surface method as the performance prediction model and a genetic algorithm for optimization. The aerodynamic code for the design method is based on the lifting surface method with a prescribed wake model for the description of the wake. A micro genetic algorithm handles the decision variables of the optimization problem such as the chord and twist distribution of the blade. The scope of the optimization method is to achieve the best trade off of the following objectives: maximum of annual energy production and minimum of blade loads including thrust and blade rood flap-wise moment. To illustrate how the optimization of the blade is carried out the procedure is applied to NREL Phase VI rotor. The result shows the optimization model can provide a more efficient design.

Metamodel-Assisted Ice Detection for Wind Turbine Blades

2011 ◽  
Author(s):  
Veruska Malave´ ◽  
Cameron J. Turner
Keyword(s):  
Wind Turbine ◽  
Health Management ◽  
Turbine Blades ◽  
Weather Conditions ◽  
Position Angle ◽  
Design Tool ◽  
Detection Technique ◽  
Wind Turbine Blades ◽  
Pitch Moment ◽  
Ice Detection

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.

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