an overview of my research and teaching areas in floating wind, offshore wind, data science, machine learning, turbulence modelling, blade dynamics, etc
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floating turbine optimization | fail safe design | wake parameterization | digital twins | data-driven methods
1.
2. DTU Wind
5 December 2022
Research & Teaching Areas
Suguang Dou
Researcher, DTU Wind and Energy Systems
Structural Integrity and Loads Assessment
Wind Energy Materials and Components Division
Contact: sudou@dtu.dk
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3. DTU Wind
5 December 2022
Optimization of Floating Wind Turbines (FloatStep)
3
Floating
Wind
Turbines
Tower
Floater
Mooring
Anchor
Cable
Control
Optimization
QuLAF
Wave
Spectra
Wind
Load
Spectra
Integrated Design Methodology
Linearized model
Frequency domain
Analytical gradients
First Results
Spar-buoy floater design
𝑍𝑍𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚
𝐷𝐷1
𝐷𝐷2
𝐷𝐷3
𝐿𝐿1
𝐿𝐿2
𝐿𝐿3
6. DTU Wind
5 December 2022
Fail-safe design of jacket and blade (SELMA)
Corrosion → Thickness degradation
Fatigue → Material degradation
7. DTU Wind
5 December 2022 7
Structural optimization of support structures
Extend the structural optimization of support structures through inclusion of the damage scenarios,
topology optimization, and frequency-domain model of floating wind turbine.
Improve structural
redundancy via inclusion of
damage scenarios and
failure modes
Apply frequency domain
model to optimization of
floater & mooring system
Apply free-form layout
optimization to find the
connectivity of members
Topology optimization Floating platforms
Fail-safe design
8. DTU Wind
5 December 2022
Dynamic Digital Twins
Advantages:
• Real-time simulation
• Multiple virtual sensors
Rotor speed
Blade pitch angle
Blade root moment MX
Blade root moment MY
Blade root moment MZ
Dynamic models Virtual sensors
Turbulence
Inputs
9. DTU Wind
5 December 2022
Dynamic model of rotor speed
Rotor speed
Time step Inputs Outputs Polynomial
order
Lags in time steps
0.01 turbulence features (9)
lagged rotor speeds (2)
Rotor speed (3,1) (1)
(1,100)
Input turbulence features
10. DTU Wind
5 December 2022
Dynamic Digital Twins
Time step Inputs Outputs Polynomial
order
Lags in time steps
0.01 turbulence features (9)
Blade pitch angle (1)
Harmonics (10)
MX (5, 2) (0)
(0)
(0)
MX
MX
Time (s) Time (s)
11. DTU Wind
5 December 2022
HiperWind
• Deliverable D3.1 is finished
• A software for Non-Gaussian turbulence in Python and Matlab (to be published)
• A paper on a comparison of six wake parameterization schemes (to be submitted)
• A pre-trained neural network for encoding general wind farm layout (to be
published)
Comparison of Gaussian and non-Gaussian turbulence in the longitudinal component
12. DTU Wind
5 December 2022
Non-Gaussian turbulence field
• Extend Gaussian turbulence to account for
third- and fourth-order statistics (skewness
and kurtosis) while keeping PSD and
coherence
• Study the influence of non-Gaussian
turbulence on the loads
13. DTU Wind
5 December 2022
HiperWind
Neural network models to encode the wind
farm layout and estimate the wake effects
• Deliverable D3.1 is finished
• A software for Non-Gaussian turbulence in Python and Matlab (to be published)
• A paper on a comparison of six wake parameterization schemes (to be submitted)
• A pre-trained neural network for encoding general wind farm layout (to be
published)
14. DTU Wind
5 December 2022
ANN Modelling of wind farm wake effects
• Compare five ANN models for parameterization of the wind farm wake effects on
turbine power and local wind conditions
• Include three new ANN models proposed by Nikolay and Suguang based on auto-
encoder neural networks
15. DTU Wind
5 December 2022
Students
• Mehmet Ozan Gözcü: Wind turbine blade
large deflections – A non-intrusive
method for blade non-linear reduced
order models
• Joint publications:
• Reduced order models for wind turbine blades
with large deflections (published)
• A correction method for large deflections of
cantilever beams with modal approach
(revision)
• Job
• Ørsted from Dec 2022
• Postdoct at DTU Wind
16. DTU Wind
5 December 2022
Computation of Modal Derivatives and Expansion Modes
17. DTU Wind
5 December 2022
Students
• Khalid Khyjman: Interactive wind farm
layout optimization on handheld devices.
(finished)
• Michael Minh Phan: Optimization of a
semi-submersible floating platform for a
wind turbine. (Ramboll)
• Christos Vyrgiotis: Design and evaluation
of a floating platform for the IEA 15MW.
(Bladena)
• Charalampos Themistokleous: a special
course on floating wind turbine: cost,
response, and optimization
Michael Phan celebrates with his family and
friends after his defense (photo by Mathias)
18. DTU Wind
5 December 2022
Master student Supervisor Project title Project period Job
Marcos Vinicius Teijeira
Correia
Suguang Dou (main
supervisor)
Topology optimization of support structures for offshore wind turbines 17/01/2022 –
05/08/2022
Vestas
Esha Harshad Biniwale Suguang Dou (main
supervisor)
Design optimization of floating offshore wind turbine with surrogate
models
17/01/2022 –
17/06/2022
COWI
Khalid Khyjman Suguang Dou (main
supervisor)
Interactive design of wind farm layout using hand-held devices 01/03/2022 –
18/02/2023
María Luz Castilla
Mena
Suguang Dou (co-
supervisor)
3D blade model updating by coupling HAWC2 and ABAQUS 01/09/2022 –
01/03/2023
Esha joined COWI
Marcos joined Vestas
Students