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Atuactor Disc Model in a Horizontal Wind
Turbine with CFD
Comparison of methods applied in CFD and linear models
PRESENTATION TOPICS
• Company Overview (2-3 minutes);
• Problem Description;
• Methodology;
• Goals;
• Conclusion and next steps.
Company Overview
• STE – is a technology-based company that helps
other organizations to obtain better results through
innovation and optimization of industrial process,
employing numerical simulation and developing
mathematical models
• In almost 9 years of existence, more than 40 R&D
and consulting projects for over 15 clients
Company Overview – STE actuation areas
METALLURGY MINING
ENERGY ENVIRONMENTAL
Company Overview – STE expertise
• STE acts in different
industry sectors,
employing numerical
simulation tools and
developing custom
mathematical models
for transport and
thermodynamic
phenomenon
Opera3d/Elektra Ansys/CFX
WRF Model FactSage
C++, Visual Basic, Fortran, Java
Problem Description
• In wind power projects want to get the most energy efficient and that the
distribution of wind turbines on the ground should be done optimally;
• For a proper distribution, is crucial to understanding the behavior of winds
downstream of the rotor wind (wind wake);
Problem Description
• Model the wind farm wakes trough cfd.
Problem Description
• The complete modeling of the wind rotor, to calculate in computational
environment, needs large number of finite elements to capture the effects of
small-scale, and thus the simulation over a turbine, a park, has prohibitive
computational cost;
• The actuators are alternative methods to modeling full rotor and intended to
represent the same with low computational cost;
• There are analytical methods, with low computational costs, which can be
employed and was used to comparison with another methods;
Methodology
• NREL wind turbine of Phase VI campaign.
Methodology
• NREL wind turbine of Phase VI campaign.
Methodology
• Modeling the wind turbine in computational environment. Geometry of wind
turbine.
Methodology
• Discratization of the calculation domain through finite volume method.
Methodology
• Applying the boundary conditions.
Methodology
• Flow calculation through wind turbine by the iterative solution of RANS (Reynolds
Average Navier-Stokes), flow governing equations.
• Mass Conservation:
• Momentum:
0i
i
u
x
1i i
i j
j i j j
u upu u
t x x x x
Methodology
• Validation of mesh elements through comparative analysis of the results and the
experimental data provided by NREL;
• With the work mesh, the actuator discs are modeled.
Passo Nome Nº volumes TC Diferença
0° malha 1 1.360.000 0,3508 -17,1%
0° malha 2 1.787.246 0,4005 -5,33%
0° malha 3 2.292.235 0,4173 -1,35%
0° malha 4 2.875.594 0,4181 -1,13%
Methodology
• Applying actuator disc methods using the values of thrust obtained with the
simulation of the complete rotor;
Methodology
• Mesh of uniform actuator disc method (UADM);
Methodology
• Applying the same boundary conditions of complete rotor case and solution of
velocity field;
Methodology
• Applying blade element method with the values obtained with the 2-D simulation
of different blade sections;
Methodology
• Application of the method of the blade element (BEM method) require values of
lift obtained with 2-D simulation in different sections of the rotor blade wind;
Methodology
• Mesh of Blade Element Moment Method (BEM) with annular subdomains;
Methodology
• Applying the same boundary conditions of complete rotor case and solving
velocity field;
• Comparison between models applied.
Methodology
• Linear methods may also represent in a simplified manner the effects of treadmill,
thus, this study also makes a comparison between the results obtained using
numerical methods and results obtained by Wenzel (2009) with linear model
Park.
Goals
• Using experimental results of wind tunnel tests with a wind turbine in scale to
compare the effectiveness of the suggested models applicable in cfd;
• Applying the complete rotor model and two actuator methods to predict the wake
of a horizontal axis wind turbine through computational fluid dynamics tool;
• Compare actuator methods with linear methods.
Goals
• Comparison between anemometers values obtained with complete rotor model,
actuator models and experimental data:
Goals
• Comparison between anemometers values obtained with complete rotor model,
actuator models and experimental data [m/s]:
Anemômetro Larwood CR UADM BEM
1 7,38±0,91 7,2382 7,6436 7,2571
2 5,41±0,68 5,7134 5,6598 5,6713
Goals
• 1 - Comparison between velocity results (u/Uinf) of complete rotor and actuator
data;
Goals
• 1 - Comparison between velocity results (u/Uinf) of complete rotor and actuator
data;
Goals
• 1 - Comparison between velocity results (u/Uinf) of complete rotor and actuator
data;
Goals
• 1 - Comparison between velocity results (u/Uinf) of complete rotor and actuator
data;
Goals
• 2 - Comparison between complete rotor and actuator methods with Park linear
model;
Goals
• 2 - Comparison between complete rotor and actuator methods with Park linear
model;
Goals
• 2 - Comparison between complete rotor and actuator methods with Park linear
model;
Conclusion and next steps
• The proximity of the numerical and experimental results show a computational
methodology suitable employment in both the mathematical model and the
turbulence model as the spatial discretization of the domain;
• The actuators models are employable, with low computational cost (getting
results around 1 hour with a computer / i7, 8gb ram), and percentage differences
of less than 5% at speeds along the track relative to simulations with the model of
the complete rotor (duration 2 days with same computer);
• The PARK linear method presented results of lower quality and accuracy, but that
can be an alternative analysis of wakes, especially at low computational cost.
According to the study by Wenzel (2009) model also showed good recovery
speed on the treadmill;
Conclusion and next steps
• Verify the efficiency of the models to predict the wake in a configuration with more
than one wind turbine;
• Check the effectiveness of the models in wake predictions of wind turbines
installed in complex terrain subject to adverse pressure gradients.
• Thanks:
- STE;
- UFRGS;
- CNPQ;
- ANSYS;
- ESSS.
Thank you!