Multidisciplinary Design Optimization of a Hybrid Composite Wind Turbine Blade

2011 ◽  
Author(s):  
Jin Woo Lee ◽  
Sathya N. Gangadharan ◽  
Maj Mirmirani ◽  
Amanda Raffa
Keyword(s):  
Wind Turbine ◽  
Design Optimization ◽  
Turbine Blade ◽  
Hybrid Composite ◽  
Multidisciplinary Design Optimization ◽  
Excitation Frequency ◽  
Wind Turbine Blade ◽  
Multidisciplinary Design ◽  
Manufacturing Cost ◽  
Wind Condition

A multidisciplinary design optimization (MDO) process of a large scale hybrid composite wind turbine blade is developed. Multiple objectives are considered in this design optimization: maximize length of blade, minimize weight and manufacturing cost. A wind turbine blade is divided into regions and the layup sequences for each region are considered as design variables. Applied load due to extreme wind condition for rotor rotation and rotor stop condition are considered for finite element analysis (FEA) to evaluate the structural strength. The structural stiffness is designed and illustrated so that the natural frequency of the blade does not coincidence with the excitation frequency of the wind turbine. A process of obtaining an optimum hybrid composite laminate layup and an optimum length of wind turbine blade is developed in this research.

Aeroelastic multidisciplinary design optimization of a swept wind turbine blade

Wind Energy ◽  
2017 ◽  
Vol 20 (12) ◽  
pp. 1941-1953 ◽  
Author(s):  
Christian Pavese ◽  
Carlo Tibaldi ◽  
Frederik Zahle ◽  
Taeseong Kim
Keyword(s):  
Wind Turbine ◽  
Design Optimization ◽  
Turbine Blade ◽  
Multidisciplinary Design Optimization ◽  
Wind Turbine Blade ◽  
Multidisciplinary Design

Aerodynamic Design and Modal Analysis on Wind Turbine Blade Based on CAD/CAE

2014 ◽  
Vol 952 ◽  
pp. 181-185
Author(s):  
Qian Qian Zhou ◽  
He Sun ◽  
Chun Bao Liu ◽  
Yang Wang ◽  
Xiao Guang Liu
Keyword(s):  
Wind Turbine ◽  
Modal Analysis ◽  
Turbine Blade ◽  
Turbine Blades ◽  
Excitation Frequency ◽  
Optimization Method ◽  
Wind Turbine Blade ◽  
Wind Turbine Blades ◽  
Gradient Distribution ◽  
Design And Optimization

Wind turbine blade is an important component to capture wind energy and converse energy. Basing on Wilson optimization method and engineering pratice, 2MW wind turbine blade’s aerodynamic profile is designed. Meanwhile, in order to avoid the resonance damage, top 10 rank modal frequencies and displacement gradient distribution contours are obtained through modal analysis. The results show that blade’s natural frequency does not coincide with the external excitation frequency, which avoids the resonance damage. Blade’s major vibration forms are waving and shimmy, requiring the ability of excellent resisting torsion. Therefore, the design should enhance bending stiffness of the blade. This paper provides an effective method for large wind turbine blades’ design and optimization.

Multidisciplinary Design Optimization for Small Vertical Wind Turbine Design

2014 ◽  
Vol 571-572 ◽  
pp. 1083-1086
Author(s):  
Qiu Yun Mo ◽  
Fei Deng ◽  
Shuai Shuai Li ◽  
Ke Yan Zhang
Keyword(s):  
Wind Turbine ◽  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Design Theory ◽  
Optimization Problems ◽  
Vertical Wind ◽  
Multidisciplinary Design ◽  
Existing Problems ◽  
Depth Study ◽  
Turbine Design

Multidisciplinary design optimization (MDO) represents the development direction of complex products design theory and method, it shows a huge advantage in solving complex optimization problems in engineering applications, for example product design. This paper briefly analyzes some existing problems of small vertical wind turbine, and puts forward using the theory of MDO in small vertical wind turbine structural optimization. Then,the paper analyzes and points out the key technology of using MDO theory to optimize small vertical wind turbine, and provides a new train of thought for further in-depth study of small vertical wind turbine to improve the overall performance of the small vertical wind turbine products.

A Multidisciplinary Design Optimization Approach to Relating Affordability and Performance in a Conceptual Submarine Design

2010 ◽  
Vol 26 (04) ◽  
pp. 273-289 ◽  
Author(s):  
N. Vlahopoulos ◽  
C. G. Hart
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Geometric Model ◽  
Multidisciplinary Optimization ◽  
System Level ◽  
Multidisciplinary Design ◽  
Manufacturing Cost ◽  
Optimization Approach ◽  
And Performance ◽  
The Impact

A multidisciplinary design optimization (MDO) framework is used for a conceptual submarine design study. Four discipline-level performances—internal deck area, powering, maneuvering, and structural analysis—are optimized simultaneously. The four discipline-level optimizations are driven by a system level optimization that minimizes the manufacturing cost while at the same time coordinates the exchange of information and the interaction among the discipline-level optimizations. Thus, the interaction among individual optimizations is captured along with the impact of the physical characteristics of the design on the manufacturing cost. A geometric model for the internal deck area of a submarine is created, and resistance, structural design, and maneuvering models are adapted from theoretical information available in the literature. These models are employed as simulation drivers in the discipline-level optimizations. Commercial cost-estimating software is leveraged to create a sophisticated, automated affordability model for the fabrication of a submarine pressure hull at the system level. First, each one of the four discipline optimizations and also the cost-related top level optimization are performed independently. As expected, five different design configurations result, one from each analysis. These results represent the "best" solution from each individual discipline optimization, and they are used as reference for comparison with the MDO solution. The deck area, resistance, structural, maneuvering, and affordability models are then synthesized into a multidisciplinary optimization statement reflecting a conceptual submarine design problem. The results from this coordinated MDO capture the interaction among disciplines and demonstrate the value that the MDO system offers in consolidating the results to a single design that improves the discipline-level objective functions while at the same time produces the highest possible improvement at the system level.

Composite Wind Turbine Blade Aerodynamic and Structural Integrated Design Optimization Based on RBF Meta-Model

2015 ◽  
Vol 813 ◽  
pp. 10-18 ◽  
Author(s):  
Yong Zhi Wang ◽  
Feng Li ◽  
Xu Zhang ◽  
Wei Min Zhang
Keyword(s):  
Finite Element ◽  
Structural Analysis ◽  
Wind Turbine ◽  
Design Optimization ◽  
Turbine Blade ◽  
Computational Cost ◽  
Integrated Design ◽  
Optimization Method ◽  
Wind Turbine Blade ◽  
Meta Model

An aerodynamic and structural integrated design optimization method of composite wind turbine blade based on multidisciplinary design optimization (MDO) is presented. The optimization aims to reduce the mass of blade under some constraints, including the power and deflection at the rated wind speed, and the strength and deflection under ultimate case. The design variables include parameters both in aerodynamic and structural disciplines. In order to keep the shape of blade smooth,the chord and twist distributions are controlled by the Bezier function in the optimization process. 3D parameterization of blade was carried out in Finite Element Analysis (FEA) software. Considering tip-loss and hub-loss, aerodynamic analysis was performed by using Blade Element Momentum (BEM) theory. Finite Element Method (FEM) was used in structural analysis. Multi-island Genetic Algorithm (MIGA) which has excellent exploration abilities was used to optimize wind turbine blade. RBF meta-model was construct to approximate the accurate structural analysis model by Optimal Latin Hypercube DOE sample points. An example was given to verify the method in this paper. The result shows that the optimization method has good optimization efficiency and the RBF meta-model could reduce the computational cost a lot.

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