Optimización multidisciplinar en MATLAB para el diseño de ......Optimización multidisciplinar en...
Transcript of Optimización multidisciplinar en MATLAB para el diseño de ......Optimización multidisciplinar en...
Classification: Internal Purpose
Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador May 30th 2019
Fernando Echeverría Durá
Classification: Internal Purpose
1 Key takeaways
2 Introduction
3 How we used to design blades
4 Why it was not efficient
5 This is the new blade design process
6 Role of MATLAB in the new process
7 Conclusions
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
2
Classification: Internal Purpose
1 Key takeaways
2 Introduction
3 How we used to design blades
4 Why it was not efficient
5 This is the new blade design process
6 Role of MATLAB in the new process
7 Conclusions
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
3
Classification: Internal Purpose
Key Takeaways
1. Improve Blade Design Process: reduce time-to-market and achieve design targets.
2. Evolve traditional sequential design process to multi-disciplinary holistic approach.
3. Develop MATLAB-based Application to calculate performance and loads of the wind turbine.
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
4
Classification: Internal Purpose
1 Key takeaways
2 Introduction
3 How we used to design blades
4 Why it was not efficient
5 This is the new blade design process
6 Role of MATLAB in the new process
7 Conclusions
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
5
Classification: Internal Purpose
Who we are
Wind turbine manufacturer.
First in installing a MW wind turbine.
Workforce >5000 employees.
Since 2016 and are the same company.
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
6
Classification: Internal Purpose
Where we are
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
7
Classification: Internal Purpose
Where we are (Spain)
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
8
Sarriguren (Engineering)
Lumbier (Blades)
Barasoain, Vall d‘Uixó (Nacelles)
Classification: Internal Purpose
More than 25.4 GW installed worldwide
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
9
Classification: Internal Purpose
1 Key takeaways
2 Introduction
3 How we used to design blades
4 Why it was not efficient
5 This is the new blade design process
6 Role of MATLAB in the new process
7 Conclusions
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
10
Classification: Internal Purpose
Traditional blade design process
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
11
Aerodynamic
design
Structural
design
Verification of
components
Control & Loads
SOLUTION
RE-DESIGN
Design
targets
Classification: Internal Purpose
1 Key takeaways
2 Introduction
3 How we used to design blades
4 Why it was not efficient
5 This is the new blade design process
6 Role of MATLAB in the new process
7 Conclusions
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
12
Classification: Internal Purpose
Why the traditional method does not work
1. The time to complete one design loop is very long.
2. Many people involved from different fields: aerodynamics, CAD, structural, control, loads.
No global insight.
3. Interactions between aerodynamics, dynamics, control and loads not fully considered.
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
13
C
E
A
I
Controls
Inertial forces
Aerodynamic forces
Elastic forces
Collar extended triangle
Classification: Internal Purpose
Wind turbines (and blades) are growing fast
Blades in AWP: 37.5 m (2006) 61.2 (2012) 77 m (2019)
The design of NEW wind turbines require NEW tools!!!!
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
14
Hhub = 120 m
Htip = 198 m
Classification: Internal Purpose
1 Key takeaways
2 Introduction
3 How we used to design blades
4 Why it was not efficient
5 This is the new blade design process
6 Role of MATLAB in the new process
7 Conclusions
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
15
Classification: Internal Purpose
OPTIMIZATION
New blade design process based on optimization
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
16
Design variables(geometry, structural
layout, controls,….)
Potential
solution to be
verified
is a code that calculates the wind turbine response (loads, deflections and
performance) under design variables from different technical fields.
Developed in with the support of other subordinate codes.
Optimization
algorithms of
Classification: Internal Purpose
1 Key takeaways
2 Introduction
3 How we used to design blades
4 Why it was not efficient
5 This is the new blade design process
6 Role of MATLAB in the new process
7 Conclusions
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
17
Classification: Internal Purpose
MATLAB in the new blade design process
governs the calculations of subordinate codes from different disciplines.
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
18
Aero-acousticAero-elastic
Structural Aerodynamic
Cross sectional properties
Polar curves
Time series of forces and momentsAcoustic emission
Classification: Internal Purpose
Role of MATLAB in the new process
Curve Fitting Toolbox to create the B-spline lofted surface
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
19
Classification: Internal Purpose
Role of MATLAB in the new process
Curve Fitting Toolbox to interrogate the surface (fairness assessment).
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
20
Illumination
methods
Iso-parametric
curvatures
Classification: Internal Purpose
Role of MATLAB in the new process
Algorithms of Optimization Toolbox and Global Optimization Toolbox:
Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Nelder-Mead (NM),
Pattern Search (PS), Simulated Annealing (SA) and Gradient Based Algorithms (GB).
Parallel Computing Toolbox for launching calculations in parallel.
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
21
Classification: Internal Purpose
1 Key takeaways
2 Introduction
3 How we used to design blades
4 Why it was not efficient
5 This is the new blade design process
6 Role of MATLAB in the new process
7 Conclusions
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
22
Classification: Internal Purpose
Conclusions
Improve Blade Design Process: reduce time-to-market and achieve design targets.
The duration of the design process has been reduced significantly.
Evolve traditional sequential design process to multi-disciplinary holistic approach.
Decisions now based on results rather than on experience or intuition.
Complex interactions are taken into account.
Develop MATLAB-based Application to calculate performance and loads of the WT.
Tool succesfully implemented.
Methods and tools implemented succesfully in already serial production blades.
5/30/2019Optimización multidisciplinar en MATLAB para el diseño de pala de aerogenerador
23
Classification: Internal Purpose
Thanks foryour attention
Classification: Internal Purpose
Togetheron the same course
Nordex SELangenhorner Chaussee 60022419 HamburgGermany
Tel: +49-40-30030-1000Fax: +49-40-30030-1333Email: [email protected]: www.nordex-online.com
Acciona WindpowerPolígono IndustrialBarásoain, parcela 231395 BarásoainNavarra, Spain
Tel: +34-948-720535Fax: +34-948-720531Email: [email protected]: www.acciona-windpower.com