mathematical modelling and calculation of vertical axis...
TRANSCRIPT
AASCIT Journal of Energy 2015 2(3) 9-15
Published online April 30 2015 (httpwwwaascitorgjournalenergy)
Keywords Wind Turbine
Aerodynamic
Force
Torque
Pitch Control
Received March 29 2015
Revised April 14 2015
Accepted April 15 2015
Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch System Using Matlab Tools
Toms Komass
Doctoral student Jelgava Latvia University of Agriculture Faculty of Engineering Institute of
Agricultural Energetic
Email address tf11198llulv
Citation Toms Komass Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch
System Using Matlab Tools AASCIT Journal of Energy Vol 2 No 3 2015 pp 9-15
Abstract In the course of this research the vertical axis wind turbine (VAWT) pitch system
simulation model has been designed and verified using the MATLAB SIMULINK tool
for blade aerodynamic force simulation The research is based on the study of the
Darrieus type VAWT blade force vector calculations which provided the basis for
building the mathematical model It includes the mechanical model of the turbine blade
force and torque simulation with and without the pitch control system The main goal of
the research achieved and the designed model was successfully verified by analytical
results The results show that the simulation is using correct pitch system calculations It
allows analysis of specific VAWT force vectors and torques The calculations can also be
used in transient process simulation for the real turbine with many blades over one rotor
1 Introduction
Use of the renewable power resources has been the subject of active discussions and
research for many years Exorbitant amounts have been invested to research this area
aiming to find the possibility to gain the high quality power from renewable energy
resources (biomass sun wind) with high degree of efficiency [1] Optimisation of the
performance factor in generation and use of energy remains a compelling and as yet
unresolved issue in modern power production systems the same being true of the
renewable power industry [2]
A very important renewable system object of today is the vertical axes wind turbine
with the power range 20 ndash 100kW The reason why these wind turbine type is pushed in
the market is that for the given power range the system is cheaper compared to the
horizontal axes wind turbine however the final solution has not been developed yet for
the VAWT system to achieve the best power performance and to ensure the cheapest
production prices [3] In general VAWT is less productive compared to the HAWT
system yet there is just one final solution how to improve VAWT performance This
solution is the pitch control system for the wind turbine that would control the angle of
attack of the blades [4]
VAWT system is less complex However for future development of the pitch control
system proper analysis of the angle of attack should be performed [5] For the analysis of
the pitch system it is important to perform accurate calculations of the wind turbine rotor
torque real time simulation This allows the system to be used in real time simulations
and helps to find the best solution in developing pitch system control strategy [6]
Pitch system analysis for the VAWT is a difficult task and requires very complex
10 Toms Komass Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch System Using Matlab Tools
aerodynamic calculations The main goal is to describe the
pitch process in a much simpler way and try to calculate the
results with the help of Matlab Software Prior to performing
analysis of the turbine VAWT type the parameters should be
chosen The information about the classic Darrieus turbine
makes it more understandable and easy to analyse [7]
The aim of the paper is to make real time simulation in
MATLAB SIMULINK for VAWT blade angle of attack pitch
angle calculations with all geometrical data set points taken
from geometrical data of a turbine
2 Materials and Methods
In Mart 2015 the experimental research of Darrieus type
vertical axis wind turbine was performed in Jelgava
According to the specification the turbine capacity range is
0-50kW The turbine dimensions are 10m width and 10m
diameter VAWT blade type for simulated wind turbine is
NACA 0018 [8]
Even Though actual measurements were not performed in
the course of this research and results will be compared to
published data During the period of mathematical modelling
of the turbine process information available from other
researchers will be used to analyse the results of
mathematical model before performing the actual pitch
system tests [9]
Aerodynamic efficiency of the wind turbine depends on
the relation between the tangential speed of the tip of a blade
and the actual speed of the wind expressed as the tip speed
ratio (λ) For an experimental wind turbine the value of λ is 3
Any deviation from the most efficient speed relation results
in decrease of the efficiency ratio [10]
R=
V
ωλ sdot (1)
where ω is wind turbine angular speed rads-1
The aerodynamic process is determined by many factors
but the primary ones are the wind turbine solidity and wind
quality This information is described by the Reynolds
number Re Reynolds number is calculated as follows [11]
ReInertialForces V l V l
=ViscouseForces
ρmicro υsdot sdot sdot= = (2)
where l is wind turbine blade chord length in meters (m) υ
=1511 m2s
-1 the kinematic viscosity of the air m
2s
-1 and micro
the dynamic viscosity of the air kgsm-2
The Reynolds number is a dimensionless value that
measures the ratio of inertial forces to viscous forces and
describes the degree of laminar or turbulent flow Systems
that operate with the same Reynolds number will have the
same flow characteristics even if the fluid speed and
characteristic lengths vary [12]
Solidity provides us direct information of swept area is
occupied by the turbine blades Solidity of the wind turbine is
calculated as follows
2
n l
Rσ sdot=
sdot (3)
where n is wind turbine blade count and l the wind turbine
blade length m
The next focus is on forces in the wind turbine blades As
mentioned before the main target is not to makes use of
some unknown efficiencies of the turbine but to operate
directly with the forces in the blades When the wind acts
upon the turbine blade the kinetic energy from the air is
transferred onto the blade which depends on the help of the
area swept by blades [13]
If the turbine operates without a pitch control the angle of
attack α is calculated from the angle of azimuth position of
the rotor The angle α is calculated using the relation
1 sintan [ ]
cos
θαλ θ
minus=+
(4)
where θ ndash azimuth position of the wind turbine rotor deg
Analysis based on the forces in the wind turbine blades is a
very important method since the actual turbine efficiency is
unknown and it is impossible to apply the calculations found
in the classic methods referred to in the literature [14]
Aerodynamic blade shape parameters are the only available
information on the possible efficiency of the blade but not of
the whole turbine not to mention the whole of the vertical
axes wind station [15]
The force acting on the wind turbine blade is calculated in
accordance with the angle of the azimuth and the turbine
rotation speed and wind speed [16]
2 2 2
cos
sinR
R
W R
W V
W W W
τ
τ
θ ωθ
= + sdot= sdot
= + (5)
where Wτ is wind force on tangent axes and WR the wind
force on radial axes and W the total wind force on the blade
The second option is to calculate the angle of attack from
the wind vectors which eventually bring us to the same
equation based on the azimuth position of the rotor[17]
arctan[ ]RW
Wτα= (6)
where α is angle of attack with fixed blade angle
At the time of pitching the additional angle of pitch is in
the system The pitch improve the aerodynamic coefficients
of lift (CL) and drag (CD) for the certain position of the
blade The pitch system angles are calculated from the
relation[18]
β α φ= minus (7)
where φ is turbine blade pitch angle in degrees and β the total
blade angle (in degrees) for CL and CD analysis
AASCIT Journal of Energy 2015 2(3) 9-15 11
The blade lift force (L) is the potentially positive force
which sets the turbine into rotation For calculation of the lift
force projection on the speed vector the following expression
is used
2sin2
c lL CL W
ρα sdot sdot= sdot sdot sdot (8)
where c is wind turbine blade chord length in meters (m) and
CL ndash lift coefficient for NACA0018 [19]
In these circumstances the CL and CD coefficients are
reliable data taken from the global information network site
because the blade profiles The values of these coefficients
have been tested in the laboratories for many years and
thanks to the global web search engines the data is freely
accessible This is the reason why the NACA0018 was
chosen for tests as all information regarding the profile
aerodynamics is easily accessible The CL and CD
coefficients are shown in the angle of attack in the position
from -20degltα gt20deg
Unused force of the wind turbine is the drag force (D) in
terms of energy production its projection on the speed vector
is calculated as follows
2sin2
c lD CD W
ρα sdot sdot= sdot sdot sdot (9)
where CD is drag force coefficient for NACA0018[19]
The total force F that acts upon the blade in the positive
direction to push the turbine forward is calculated as follows
F L D
T R F
= minus= sdot
(10)
where F is total force in the rotation direction of the blade in
Newtonrsquos (N) and the T is the blade total torque
The turbine total torque T from the force produced by the
wind energy is calculated on the basis of the wind force at the
radius length The final torque shows the actual working
torque of the turbine which can be reduced to the electrical
generator and transformed into the electrical energy The
system should be simulated and checked in the Matlab
Simulink system for curve analysis
3 Results and Discussions
The simulation model is divided into 2 parts Math
calculations referring to the turbine blades were done in
Matlab Simulink for future later use in the VAWT model
simulation in Simulink while the data plot and analysis were
done it the Matlab editor VAWT blade torque simulation
subsystem receives all inputs from the set point written by
the Matlab function running in Matlab Editor The system
calculated the data in accordance with the previously
described equations (Fig1)
Simulation system modelled in the SIMULINK consists of
the mathematical equations and the lookup tables for the
coefficient interpolation The SIMULINK system receives
the simulation starting data from the MATLAB editor what is
calling up the simulation model for one cycle simulation
SIMULINK gives back the main information about azimuth
angle θ angle of attack α pitch angle φ wind torque on
blade T (Fig1)
Fig 1 Internal Structure of lsquoVAWT Blade Torque Calculationrsquo subsystem
The model simulation works in the 2 main loops After the
main parameters of the simulation have been set the first
loop starts to run covering the internal turbine rotation across
the azimuth angle θ from 0 to the maximum of 360deg The
simulation of the θ works with a 1deg step and on each θ step
the next loop starts to run where the pitch angle is changed
for torque calculation The pitch angle φ value ranges from -
20deg to +20deg with the step 01deg After simulation of one
azimuth angle step across the whole pitch angle range the
system does the search for the maximum torque T and saves
the simulation values After the information for each θ
maximum torque is collected the final data plotting is done
(Fig2)
12 Toms Komass Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch System Using Matlab Tools
Fig 2 Matlab Editor and SIMULINK simulation system flow chart
In the process of simulation the 2 major information fields
are analysed The first field to compare the simulation code
to the other methods is simulation of the angle of attack α
The second important information is the wind turbine rotor
torque produced by one blade on the rotor with no pitch
control and with the stall angle of attack α
Angle of attack in the period of rotation from 0deg ndash 180deg is
symmetrical to the curve in the period 181deg-360deg (Fig3)
which shows that the calculations are right In the period 0deg-
180deg the first half of the trend is symmetrical at the angle 90deg
which shows that the mathematical calculations performed
by the system are correct
The simulation system is run in 3 ways Description of
each of the three ways is given below
1 The first simulation is run with the pitch angle 0 This is
done to check the simulation system
2 The second simulation is run with the aim to find the
maximum torque The main task of this simulation is to
find the optimal pitch angle to reach the maximal torque
from the wind turbine blade
3 The third simulation is run to search for the maximal
CLCD This simulation is done to find the optimal pitch
angle φ for the maximal CLCD
System simulation with no pitch control system for pitch
angle optimisation shows that the mathematical model is
correct where the torque T and the angle of attack α is in the
correct shape (Fig5) The angle of attack α and CLCD is
symmetrical from 0deg - 180deg to 180deg - 360deg The maximal
torque T received from the wind flow kinetic energy is
mirror-symmetric to the ranges from 0deg - 180deg to 180deg - 360deg
(Fig3)
The results of simulation with no pitch control show that if
the angle of attack is fixed the maximum torque is fixed to
the position of the blade The main solution in the industry is
to develop the pitch control The main target for the pitch
control system is to create the optimal angle of the blade to
reach the maximum performance of the turbine For the best
turbine performance one option is to simulate the system in
order to achieve the two main targets first target being the
optimal torque and second one - the optimal CLCD
Pitch system simulation shows that the pitch angle is
variable in the range -10deg to +10deg which gives the angle of
attack β in the range -16deg to +16deg In total the pitch angle
differs depending on the rotor position azimuth angle θ
(Fig4)
Fig 3 VAWT simulation with no pitch angle φ optimisation
AASCIT Journal of Energy 2015 2(3) 9-15 13
Fig 4 VAWT simulation with pitch angle φ optimisation for maximum torque T
The simulation that is done to find the maximum torque
shows that the pitching angle depends on the azimuth angle θ
For each azimuth angle there is own a most effective pitch
angle The most optimal pitch angle gives the maximum T
value The total torque from pitching is the cumulative value
for the lift and drag force vectors on the positive direction
axe τ The pitching angle is symmetrical in the azimuth angle
range of 0deg-180deg to range 180deg-360deg This is very correct as
the shape of the blade is symmetrical and the force has a
negative value but the vector on the τ gives the positive
force and torque
System simulation that is run to find the maximum CLCD
coefficient shows that the pitch angle varies from -10deg to
+10deg but in a different curve which gives the angle of attack
β -10deg to +10deg Within the azimuth angle range 0-360deg the
following values for the CLCD relation are obtained CLCD
= 80 or CLCD=-80 (Fig5)
Fig 5 VAWT simulation with pitch angle φ optimisation for maximum CLCD
In aircraft design it is very important to make the
aerodynamic system of the plane to work with the highest
CLCD coefficient ratio This coefficient ratio ensures that
the plane achieves the highest efficiency during the flight In
order to check the wind turbine operation process against the
classical aerodynamics theories it becomes important to
perform simulation by making the system operate at the
maximum CLCD coefficient For the NACA0018 the max
CLCD is 80 or -80 in the opposite direction
Figure 6 presents results of all the 3 simulation process
maximum torques T per one rotor rotation I is clear that the
most effective pitching is at the maximum T while the
CLCD coefficient is not the maximal value For this specific
blade design it is possible to achieve the maximum torque of
up to 9800 Nm while without the pitch control system the
maximal torque is merely 8900 Nm What is most interesting
is that while pitching operates to reach the maximum CLCD
coefficient the maximum torque is just 8000 Nm which is
even less than with no pitching
In the process of wind turbine simulation it is also
important to get the right figures - examine total torque
integration over one rotation of the rotor As we see from the
Figure 6 the most effective control is pitching at the
maximum torque which will bring the highest power per one
rotation One interesting fact is that control of the pitch with
the maximum CLCD gives the lowest integrated torque per
one rotation
The Figure 6 shows the information about the torque
integration over one rotation of the rotor It is important not
just to look at the curves but to see the final values after total
14 Toms Komass Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch System Using Matlab Tools
rotation Pitch control for the maximum torque brings the
total value per one rotation 21249106 In case of system
simulation with the pitch form the most effective CLCD in
total integrated torque T is 17345106 When the system is
simulated with no pitch control to optimise the angle of
attack the total integrated torque is 19166106
Fig 6 VAWT simulated system maximum torque T data and integrated torque data
Results of the experiment show that the effect of the pitch
control is in the region of the rotation position 60deg - 120 deg
and 240deg - 290deg In all other regions the pitch control system
is not required But the effect of pitching in those regions in
general brings a 10 higher result comparing to no pitching
system or 184 comparing to pitch system for optimal
coefficient CLCD Since this is just theoretical information
for the pitch system effective results calculation of the
electrical energy consumption during use of the pitch control
was not done
4 Conclusions
1 Pitch control simulation compared to the simulation
without pitch control shows a 10 better results with a
higher torque which can be converted into electric
energy
2 Pitch control system with the maximum torque search
gives better results in comparison to the pitch system
with the maximum CLCD coefficient Pitching at the
maximal torque gives the results that are by 184
better compared to the pitching with the maximal
CLCD
3 Pitch control system demonstrates the highest efficiency
at the azimuth angle being within the range 60deg - 120deg
and 240deg - 290deg and 95 of the achieved 14
improvement fall exactly within these ranges of the
rotation angle
4 The simulation system algorithms can be adjusted to any
turbine dimensions and turbine blade profile The
simulation program is flexible and can be used for future
VAWT development simulation systems
References
[1] Bati A F Brennan F The Modelling Simulation and Control of a 50 kW Vertical Axis Wind Turbine Asian Transactions on Engineering vol2 No4 2012 pp14-24
[2] Taher GAbu-El-Yazied Ahmad MAli Mahdi SAl-Ajmi Islam MHassan Effect of Number of Blades and Blade Chord Length on the Performance of Darrieus Wind Turbine Journal lsquoAmerican Journal of Mechanical Engineering and Automationrsquo Vol2 No1 2015 pp 16-25
[3] Ben Guerts Cario Simao Ferreira Gerarg van Bussel Aerodynamic Analyse of a Vertical Axis Wind Turbine in a Diffuser 3rd EWEA Conference - Torque 2010 The Science of making Torque from Wind Heraklion Crete Greece 28-30 June 2010
[4] Hameed MS Shahid F (2012) Evaluation of Aerodynamic Forces over a Vertical Axis Wind Turbine Blade through CFD analysis J Appl Mech Eng 1116 doi1041722168-98731000116
[5] J J Miau S Y Liang R M Yu C C Hu T S Leu J C Cheng and S J Chen Design and Test of a Vertical-Axis Wind Turbine with Pitch Control Applied Mechanics and Materials Vol 225 (2012) pp 338-343
[6] Chris Ferone Michael Robinson Ying Shi and Vinod Vishwakarma A Control Policy for Maximizing the Power Output of Variable Pitch VAWTs and Reducing Fluctuations in Power with an Battery 2012 College of Engineering Research Symposium Pennsylvania State University University Park PA April 5 2012
[7] Ion NILA Radu BOGATEANU Marcel STERE Small power wind turbine (Type DARRIEUS) Journal INCAS BULLETIN Volume 4 Issue 1 2012 pp 135 ndash 142
[8] Muhammad Mahmood Aslam Bhuttalowast Nasir Hayat Ahmed Uzair Farooq Zain Ali Sh Rehan Jamil Zahid Hussain Vertical axis wind turbine ndash A review of various configurations and design techniques Journal Elsevier - Renewable and Sustainable Energy Reviews 16 (2012) 1926ndash 1939
[9] Andrzej J Fiedler Stephen Tullis Blade Offset and Pitch Effects on a High Solidity Vertical Axis Wind Turbine Journal WIND ENGINEERING VOLUME 33 NO 3 2009 PP 237ndash246
[10] Karl O Merz A Method for Analysis of VAWT Aerodynamic Loads under Turbulent Wind and Platform Motion DeepWind 19-20 January 2012 Trondheim Norway pp44-51
AASCIT Journal of Energy 2015 2(3) 9-15 15
[11] Mazharul Islam_ David S-K Ting Amir Fartaj Aerodynamic models for Darrieus-type straight-bladed vertical axis wind turbines Journal Elsevier - Renewable and Sustainable Energy Reviews 12 (2008) 1087ndash1109
[12] MH Mohamed Performance investigation of H-rotor Darrieus turbine with new airfoil shapes Journal Elsevier - Energy 47 (2012) pp522-530
[13] T Maicirctre E Amet C Pellone Modeling of the flow in a Darrieus water turbine Wall grid refinement analysis and comparison with experiments Journal Elsevier - Renewable Energy 51 (2013) pp497-512
[14] Syed Shah Khalid Zhang Liang Sheng Qi-hu and Zhang Xue-Wei Difference between Fixed and Variable Pitch Vertical Axis Tidal Turbine-Using CFD Analysis in CFX Research Journal of Applied Sciences Engineering and Technology 5(1) 319-325 January 01 2013
[15] Peter J Schubel Richard J Crossley Wind Turbine Blade Design Energies 2012 5 3425-3449 doi103390en5093425 September 06 2012
[16] Gerald M Angle Franz A Pertl Mary Ann Clarke James E Smith Lift Augmentation for Vertical Axis Wind Turbines International Journal of Engineering (IJE) Volume (4) Issue (5) pp 430 ndash 442 December 2010
[17] Sachin Khajuria Jaspreet Kaur Implementation of Pitch Control Of wind Turbine Using Simulink (Matlab) International Journal of Advanced Research in Computer Engineering amp Technology Volume 1 Issue 4 pp196-200 June 2012
[18] Prasad Chougule Sųren Nielsen Overview and Design of self-acting pitch control mechanism for vertical axis wind turbine using multi body simulation approach Journal of Physics Conference Series 524 (2014) 012055 - The Science of Making Torque from Wind 2014 (TORQUE 2014) doi1010881742-65965241012055 June 2014
[19] httpairfoiltoolscomairfoildetailsairfoil=naca0018-il ndash opened 08042015 information about blade profile NACA0018
10 Toms Komass Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch System Using Matlab Tools
aerodynamic calculations The main goal is to describe the
pitch process in a much simpler way and try to calculate the
results with the help of Matlab Software Prior to performing
analysis of the turbine VAWT type the parameters should be
chosen The information about the classic Darrieus turbine
makes it more understandable and easy to analyse [7]
The aim of the paper is to make real time simulation in
MATLAB SIMULINK for VAWT blade angle of attack pitch
angle calculations with all geometrical data set points taken
from geometrical data of a turbine
2 Materials and Methods
In Mart 2015 the experimental research of Darrieus type
vertical axis wind turbine was performed in Jelgava
According to the specification the turbine capacity range is
0-50kW The turbine dimensions are 10m width and 10m
diameter VAWT blade type for simulated wind turbine is
NACA 0018 [8]
Even Though actual measurements were not performed in
the course of this research and results will be compared to
published data During the period of mathematical modelling
of the turbine process information available from other
researchers will be used to analyse the results of
mathematical model before performing the actual pitch
system tests [9]
Aerodynamic efficiency of the wind turbine depends on
the relation between the tangential speed of the tip of a blade
and the actual speed of the wind expressed as the tip speed
ratio (λ) For an experimental wind turbine the value of λ is 3
Any deviation from the most efficient speed relation results
in decrease of the efficiency ratio [10]
R=
V
ωλ sdot (1)
where ω is wind turbine angular speed rads-1
The aerodynamic process is determined by many factors
but the primary ones are the wind turbine solidity and wind
quality This information is described by the Reynolds
number Re Reynolds number is calculated as follows [11]
ReInertialForces V l V l
=ViscouseForces
ρmicro υsdot sdot sdot= = (2)
where l is wind turbine blade chord length in meters (m) υ
=1511 m2s
-1 the kinematic viscosity of the air m
2s
-1 and micro
the dynamic viscosity of the air kgsm-2
The Reynolds number is a dimensionless value that
measures the ratio of inertial forces to viscous forces and
describes the degree of laminar or turbulent flow Systems
that operate with the same Reynolds number will have the
same flow characteristics even if the fluid speed and
characteristic lengths vary [12]
Solidity provides us direct information of swept area is
occupied by the turbine blades Solidity of the wind turbine is
calculated as follows
2
n l
Rσ sdot=
sdot (3)
where n is wind turbine blade count and l the wind turbine
blade length m
The next focus is on forces in the wind turbine blades As
mentioned before the main target is not to makes use of
some unknown efficiencies of the turbine but to operate
directly with the forces in the blades When the wind acts
upon the turbine blade the kinetic energy from the air is
transferred onto the blade which depends on the help of the
area swept by blades [13]
If the turbine operates without a pitch control the angle of
attack α is calculated from the angle of azimuth position of
the rotor The angle α is calculated using the relation
1 sintan [ ]
cos
θαλ θ
minus=+
(4)
where θ ndash azimuth position of the wind turbine rotor deg
Analysis based on the forces in the wind turbine blades is a
very important method since the actual turbine efficiency is
unknown and it is impossible to apply the calculations found
in the classic methods referred to in the literature [14]
Aerodynamic blade shape parameters are the only available
information on the possible efficiency of the blade but not of
the whole turbine not to mention the whole of the vertical
axes wind station [15]
The force acting on the wind turbine blade is calculated in
accordance with the angle of the azimuth and the turbine
rotation speed and wind speed [16]
2 2 2
cos
sinR
R
W R
W V
W W W
τ
τ
θ ωθ
= + sdot= sdot
= + (5)
where Wτ is wind force on tangent axes and WR the wind
force on radial axes and W the total wind force on the blade
The second option is to calculate the angle of attack from
the wind vectors which eventually bring us to the same
equation based on the azimuth position of the rotor[17]
arctan[ ]RW
Wτα= (6)
where α is angle of attack with fixed blade angle
At the time of pitching the additional angle of pitch is in
the system The pitch improve the aerodynamic coefficients
of lift (CL) and drag (CD) for the certain position of the
blade The pitch system angles are calculated from the
relation[18]
β α φ= minus (7)
where φ is turbine blade pitch angle in degrees and β the total
blade angle (in degrees) for CL and CD analysis
AASCIT Journal of Energy 2015 2(3) 9-15 11
The blade lift force (L) is the potentially positive force
which sets the turbine into rotation For calculation of the lift
force projection on the speed vector the following expression
is used
2sin2
c lL CL W
ρα sdot sdot= sdot sdot sdot (8)
where c is wind turbine blade chord length in meters (m) and
CL ndash lift coefficient for NACA0018 [19]
In these circumstances the CL and CD coefficients are
reliable data taken from the global information network site
because the blade profiles The values of these coefficients
have been tested in the laboratories for many years and
thanks to the global web search engines the data is freely
accessible This is the reason why the NACA0018 was
chosen for tests as all information regarding the profile
aerodynamics is easily accessible The CL and CD
coefficients are shown in the angle of attack in the position
from -20degltα gt20deg
Unused force of the wind turbine is the drag force (D) in
terms of energy production its projection on the speed vector
is calculated as follows
2sin2
c lD CD W
ρα sdot sdot= sdot sdot sdot (9)
where CD is drag force coefficient for NACA0018[19]
The total force F that acts upon the blade in the positive
direction to push the turbine forward is calculated as follows
F L D
T R F
= minus= sdot
(10)
where F is total force in the rotation direction of the blade in
Newtonrsquos (N) and the T is the blade total torque
The turbine total torque T from the force produced by the
wind energy is calculated on the basis of the wind force at the
radius length The final torque shows the actual working
torque of the turbine which can be reduced to the electrical
generator and transformed into the electrical energy The
system should be simulated and checked in the Matlab
Simulink system for curve analysis
3 Results and Discussions
The simulation model is divided into 2 parts Math
calculations referring to the turbine blades were done in
Matlab Simulink for future later use in the VAWT model
simulation in Simulink while the data plot and analysis were
done it the Matlab editor VAWT blade torque simulation
subsystem receives all inputs from the set point written by
the Matlab function running in Matlab Editor The system
calculated the data in accordance with the previously
described equations (Fig1)
Simulation system modelled in the SIMULINK consists of
the mathematical equations and the lookup tables for the
coefficient interpolation The SIMULINK system receives
the simulation starting data from the MATLAB editor what is
calling up the simulation model for one cycle simulation
SIMULINK gives back the main information about azimuth
angle θ angle of attack α pitch angle φ wind torque on
blade T (Fig1)
Fig 1 Internal Structure of lsquoVAWT Blade Torque Calculationrsquo subsystem
The model simulation works in the 2 main loops After the
main parameters of the simulation have been set the first
loop starts to run covering the internal turbine rotation across
the azimuth angle θ from 0 to the maximum of 360deg The
simulation of the θ works with a 1deg step and on each θ step
the next loop starts to run where the pitch angle is changed
for torque calculation The pitch angle φ value ranges from -
20deg to +20deg with the step 01deg After simulation of one
azimuth angle step across the whole pitch angle range the
system does the search for the maximum torque T and saves
the simulation values After the information for each θ
maximum torque is collected the final data plotting is done
(Fig2)
12 Toms Komass Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch System Using Matlab Tools
Fig 2 Matlab Editor and SIMULINK simulation system flow chart
In the process of simulation the 2 major information fields
are analysed The first field to compare the simulation code
to the other methods is simulation of the angle of attack α
The second important information is the wind turbine rotor
torque produced by one blade on the rotor with no pitch
control and with the stall angle of attack α
Angle of attack in the period of rotation from 0deg ndash 180deg is
symmetrical to the curve in the period 181deg-360deg (Fig3)
which shows that the calculations are right In the period 0deg-
180deg the first half of the trend is symmetrical at the angle 90deg
which shows that the mathematical calculations performed
by the system are correct
The simulation system is run in 3 ways Description of
each of the three ways is given below
1 The first simulation is run with the pitch angle 0 This is
done to check the simulation system
2 The second simulation is run with the aim to find the
maximum torque The main task of this simulation is to
find the optimal pitch angle to reach the maximal torque
from the wind turbine blade
3 The third simulation is run to search for the maximal
CLCD This simulation is done to find the optimal pitch
angle φ for the maximal CLCD
System simulation with no pitch control system for pitch
angle optimisation shows that the mathematical model is
correct where the torque T and the angle of attack α is in the
correct shape (Fig5) The angle of attack α and CLCD is
symmetrical from 0deg - 180deg to 180deg - 360deg The maximal
torque T received from the wind flow kinetic energy is
mirror-symmetric to the ranges from 0deg - 180deg to 180deg - 360deg
(Fig3)
The results of simulation with no pitch control show that if
the angle of attack is fixed the maximum torque is fixed to
the position of the blade The main solution in the industry is
to develop the pitch control The main target for the pitch
control system is to create the optimal angle of the blade to
reach the maximum performance of the turbine For the best
turbine performance one option is to simulate the system in
order to achieve the two main targets first target being the
optimal torque and second one - the optimal CLCD
Pitch system simulation shows that the pitch angle is
variable in the range -10deg to +10deg which gives the angle of
attack β in the range -16deg to +16deg In total the pitch angle
differs depending on the rotor position azimuth angle θ
(Fig4)
Fig 3 VAWT simulation with no pitch angle φ optimisation
AASCIT Journal of Energy 2015 2(3) 9-15 13
Fig 4 VAWT simulation with pitch angle φ optimisation for maximum torque T
The simulation that is done to find the maximum torque
shows that the pitching angle depends on the azimuth angle θ
For each azimuth angle there is own a most effective pitch
angle The most optimal pitch angle gives the maximum T
value The total torque from pitching is the cumulative value
for the lift and drag force vectors on the positive direction
axe τ The pitching angle is symmetrical in the azimuth angle
range of 0deg-180deg to range 180deg-360deg This is very correct as
the shape of the blade is symmetrical and the force has a
negative value but the vector on the τ gives the positive
force and torque
System simulation that is run to find the maximum CLCD
coefficient shows that the pitch angle varies from -10deg to
+10deg but in a different curve which gives the angle of attack
β -10deg to +10deg Within the azimuth angle range 0-360deg the
following values for the CLCD relation are obtained CLCD
= 80 or CLCD=-80 (Fig5)
Fig 5 VAWT simulation with pitch angle φ optimisation for maximum CLCD
In aircraft design it is very important to make the
aerodynamic system of the plane to work with the highest
CLCD coefficient ratio This coefficient ratio ensures that
the plane achieves the highest efficiency during the flight In
order to check the wind turbine operation process against the
classical aerodynamics theories it becomes important to
perform simulation by making the system operate at the
maximum CLCD coefficient For the NACA0018 the max
CLCD is 80 or -80 in the opposite direction
Figure 6 presents results of all the 3 simulation process
maximum torques T per one rotor rotation I is clear that the
most effective pitching is at the maximum T while the
CLCD coefficient is not the maximal value For this specific
blade design it is possible to achieve the maximum torque of
up to 9800 Nm while without the pitch control system the
maximal torque is merely 8900 Nm What is most interesting
is that while pitching operates to reach the maximum CLCD
coefficient the maximum torque is just 8000 Nm which is
even less than with no pitching
In the process of wind turbine simulation it is also
important to get the right figures - examine total torque
integration over one rotation of the rotor As we see from the
Figure 6 the most effective control is pitching at the
maximum torque which will bring the highest power per one
rotation One interesting fact is that control of the pitch with
the maximum CLCD gives the lowest integrated torque per
one rotation
The Figure 6 shows the information about the torque
integration over one rotation of the rotor It is important not
just to look at the curves but to see the final values after total
14 Toms Komass Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch System Using Matlab Tools
rotation Pitch control for the maximum torque brings the
total value per one rotation 21249106 In case of system
simulation with the pitch form the most effective CLCD in
total integrated torque T is 17345106 When the system is
simulated with no pitch control to optimise the angle of
attack the total integrated torque is 19166106
Fig 6 VAWT simulated system maximum torque T data and integrated torque data
Results of the experiment show that the effect of the pitch
control is in the region of the rotation position 60deg - 120 deg
and 240deg - 290deg In all other regions the pitch control system
is not required But the effect of pitching in those regions in
general brings a 10 higher result comparing to no pitching
system or 184 comparing to pitch system for optimal
coefficient CLCD Since this is just theoretical information
for the pitch system effective results calculation of the
electrical energy consumption during use of the pitch control
was not done
4 Conclusions
1 Pitch control simulation compared to the simulation
without pitch control shows a 10 better results with a
higher torque which can be converted into electric
energy
2 Pitch control system with the maximum torque search
gives better results in comparison to the pitch system
with the maximum CLCD coefficient Pitching at the
maximal torque gives the results that are by 184
better compared to the pitching with the maximal
CLCD
3 Pitch control system demonstrates the highest efficiency
at the azimuth angle being within the range 60deg - 120deg
and 240deg - 290deg and 95 of the achieved 14
improvement fall exactly within these ranges of the
rotation angle
4 The simulation system algorithms can be adjusted to any
turbine dimensions and turbine blade profile The
simulation program is flexible and can be used for future
VAWT development simulation systems
References
[1] Bati A F Brennan F The Modelling Simulation and Control of a 50 kW Vertical Axis Wind Turbine Asian Transactions on Engineering vol2 No4 2012 pp14-24
[2] Taher GAbu-El-Yazied Ahmad MAli Mahdi SAl-Ajmi Islam MHassan Effect of Number of Blades and Blade Chord Length on the Performance of Darrieus Wind Turbine Journal lsquoAmerican Journal of Mechanical Engineering and Automationrsquo Vol2 No1 2015 pp 16-25
[3] Ben Guerts Cario Simao Ferreira Gerarg van Bussel Aerodynamic Analyse of a Vertical Axis Wind Turbine in a Diffuser 3rd EWEA Conference - Torque 2010 The Science of making Torque from Wind Heraklion Crete Greece 28-30 June 2010
[4] Hameed MS Shahid F (2012) Evaluation of Aerodynamic Forces over a Vertical Axis Wind Turbine Blade through CFD analysis J Appl Mech Eng 1116 doi1041722168-98731000116
[5] J J Miau S Y Liang R M Yu C C Hu T S Leu J C Cheng and S J Chen Design and Test of a Vertical-Axis Wind Turbine with Pitch Control Applied Mechanics and Materials Vol 225 (2012) pp 338-343
[6] Chris Ferone Michael Robinson Ying Shi and Vinod Vishwakarma A Control Policy for Maximizing the Power Output of Variable Pitch VAWTs and Reducing Fluctuations in Power with an Battery 2012 College of Engineering Research Symposium Pennsylvania State University University Park PA April 5 2012
[7] Ion NILA Radu BOGATEANU Marcel STERE Small power wind turbine (Type DARRIEUS) Journal INCAS BULLETIN Volume 4 Issue 1 2012 pp 135 ndash 142
[8] Muhammad Mahmood Aslam Bhuttalowast Nasir Hayat Ahmed Uzair Farooq Zain Ali Sh Rehan Jamil Zahid Hussain Vertical axis wind turbine ndash A review of various configurations and design techniques Journal Elsevier - Renewable and Sustainable Energy Reviews 16 (2012) 1926ndash 1939
[9] Andrzej J Fiedler Stephen Tullis Blade Offset and Pitch Effects on a High Solidity Vertical Axis Wind Turbine Journal WIND ENGINEERING VOLUME 33 NO 3 2009 PP 237ndash246
[10] Karl O Merz A Method for Analysis of VAWT Aerodynamic Loads under Turbulent Wind and Platform Motion DeepWind 19-20 January 2012 Trondheim Norway pp44-51
AASCIT Journal of Energy 2015 2(3) 9-15 15
[11] Mazharul Islam_ David S-K Ting Amir Fartaj Aerodynamic models for Darrieus-type straight-bladed vertical axis wind turbines Journal Elsevier - Renewable and Sustainable Energy Reviews 12 (2008) 1087ndash1109
[12] MH Mohamed Performance investigation of H-rotor Darrieus turbine with new airfoil shapes Journal Elsevier - Energy 47 (2012) pp522-530
[13] T Maicirctre E Amet C Pellone Modeling of the flow in a Darrieus water turbine Wall grid refinement analysis and comparison with experiments Journal Elsevier - Renewable Energy 51 (2013) pp497-512
[14] Syed Shah Khalid Zhang Liang Sheng Qi-hu and Zhang Xue-Wei Difference between Fixed and Variable Pitch Vertical Axis Tidal Turbine-Using CFD Analysis in CFX Research Journal of Applied Sciences Engineering and Technology 5(1) 319-325 January 01 2013
[15] Peter J Schubel Richard J Crossley Wind Turbine Blade Design Energies 2012 5 3425-3449 doi103390en5093425 September 06 2012
[16] Gerald M Angle Franz A Pertl Mary Ann Clarke James E Smith Lift Augmentation for Vertical Axis Wind Turbines International Journal of Engineering (IJE) Volume (4) Issue (5) pp 430 ndash 442 December 2010
[17] Sachin Khajuria Jaspreet Kaur Implementation of Pitch Control Of wind Turbine Using Simulink (Matlab) International Journal of Advanced Research in Computer Engineering amp Technology Volume 1 Issue 4 pp196-200 June 2012
[18] Prasad Chougule Sųren Nielsen Overview and Design of self-acting pitch control mechanism for vertical axis wind turbine using multi body simulation approach Journal of Physics Conference Series 524 (2014) 012055 - The Science of Making Torque from Wind 2014 (TORQUE 2014) doi1010881742-65965241012055 June 2014
[19] httpairfoiltoolscomairfoildetailsairfoil=naca0018-il ndash opened 08042015 information about blade profile NACA0018
AASCIT Journal of Energy 2015 2(3) 9-15 11
The blade lift force (L) is the potentially positive force
which sets the turbine into rotation For calculation of the lift
force projection on the speed vector the following expression
is used
2sin2
c lL CL W
ρα sdot sdot= sdot sdot sdot (8)
where c is wind turbine blade chord length in meters (m) and
CL ndash lift coefficient for NACA0018 [19]
In these circumstances the CL and CD coefficients are
reliable data taken from the global information network site
because the blade profiles The values of these coefficients
have been tested in the laboratories for many years and
thanks to the global web search engines the data is freely
accessible This is the reason why the NACA0018 was
chosen for tests as all information regarding the profile
aerodynamics is easily accessible The CL and CD
coefficients are shown in the angle of attack in the position
from -20degltα gt20deg
Unused force of the wind turbine is the drag force (D) in
terms of energy production its projection on the speed vector
is calculated as follows
2sin2
c lD CD W
ρα sdot sdot= sdot sdot sdot (9)
where CD is drag force coefficient for NACA0018[19]
The total force F that acts upon the blade in the positive
direction to push the turbine forward is calculated as follows
F L D
T R F
= minus= sdot
(10)
where F is total force in the rotation direction of the blade in
Newtonrsquos (N) and the T is the blade total torque
The turbine total torque T from the force produced by the
wind energy is calculated on the basis of the wind force at the
radius length The final torque shows the actual working
torque of the turbine which can be reduced to the electrical
generator and transformed into the electrical energy The
system should be simulated and checked in the Matlab
Simulink system for curve analysis
3 Results and Discussions
The simulation model is divided into 2 parts Math
calculations referring to the turbine blades were done in
Matlab Simulink for future later use in the VAWT model
simulation in Simulink while the data plot and analysis were
done it the Matlab editor VAWT blade torque simulation
subsystem receives all inputs from the set point written by
the Matlab function running in Matlab Editor The system
calculated the data in accordance with the previously
described equations (Fig1)
Simulation system modelled in the SIMULINK consists of
the mathematical equations and the lookup tables for the
coefficient interpolation The SIMULINK system receives
the simulation starting data from the MATLAB editor what is
calling up the simulation model for one cycle simulation
SIMULINK gives back the main information about azimuth
angle θ angle of attack α pitch angle φ wind torque on
blade T (Fig1)
Fig 1 Internal Structure of lsquoVAWT Blade Torque Calculationrsquo subsystem
The model simulation works in the 2 main loops After the
main parameters of the simulation have been set the first
loop starts to run covering the internal turbine rotation across
the azimuth angle θ from 0 to the maximum of 360deg The
simulation of the θ works with a 1deg step and on each θ step
the next loop starts to run where the pitch angle is changed
for torque calculation The pitch angle φ value ranges from -
20deg to +20deg with the step 01deg After simulation of one
azimuth angle step across the whole pitch angle range the
system does the search for the maximum torque T and saves
the simulation values After the information for each θ
maximum torque is collected the final data plotting is done
(Fig2)
12 Toms Komass Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch System Using Matlab Tools
Fig 2 Matlab Editor and SIMULINK simulation system flow chart
In the process of simulation the 2 major information fields
are analysed The first field to compare the simulation code
to the other methods is simulation of the angle of attack α
The second important information is the wind turbine rotor
torque produced by one blade on the rotor with no pitch
control and with the stall angle of attack α
Angle of attack in the period of rotation from 0deg ndash 180deg is
symmetrical to the curve in the period 181deg-360deg (Fig3)
which shows that the calculations are right In the period 0deg-
180deg the first half of the trend is symmetrical at the angle 90deg
which shows that the mathematical calculations performed
by the system are correct
The simulation system is run in 3 ways Description of
each of the three ways is given below
1 The first simulation is run with the pitch angle 0 This is
done to check the simulation system
2 The second simulation is run with the aim to find the
maximum torque The main task of this simulation is to
find the optimal pitch angle to reach the maximal torque
from the wind turbine blade
3 The third simulation is run to search for the maximal
CLCD This simulation is done to find the optimal pitch
angle φ for the maximal CLCD
System simulation with no pitch control system for pitch
angle optimisation shows that the mathematical model is
correct where the torque T and the angle of attack α is in the
correct shape (Fig5) The angle of attack α and CLCD is
symmetrical from 0deg - 180deg to 180deg - 360deg The maximal
torque T received from the wind flow kinetic energy is
mirror-symmetric to the ranges from 0deg - 180deg to 180deg - 360deg
(Fig3)
The results of simulation with no pitch control show that if
the angle of attack is fixed the maximum torque is fixed to
the position of the blade The main solution in the industry is
to develop the pitch control The main target for the pitch
control system is to create the optimal angle of the blade to
reach the maximum performance of the turbine For the best
turbine performance one option is to simulate the system in
order to achieve the two main targets first target being the
optimal torque and second one - the optimal CLCD
Pitch system simulation shows that the pitch angle is
variable in the range -10deg to +10deg which gives the angle of
attack β in the range -16deg to +16deg In total the pitch angle
differs depending on the rotor position azimuth angle θ
(Fig4)
Fig 3 VAWT simulation with no pitch angle φ optimisation
AASCIT Journal of Energy 2015 2(3) 9-15 13
Fig 4 VAWT simulation with pitch angle φ optimisation for maximum torque T
The simulation that is done to find the maximum torque
shows that the pitching angle depends on the azimuth angle θ
For each azimuth angle there is own a most effective pitch
angle The most optimal pitch angle gives the maximum T
value The total torque from pitching is the cumulative value
for the lift and drag force vectors on the positive direction
axe τ The pitching angle is symmetrical in the azimuth angle
range of 0deg-180deg to range 180deg-360deg This is very correct as
the shape of the blade is symmetrical and the force has a
negative value but the vector on the τ gives the positive
force and torque
System simulation that is run to find the maximum CLCD
coefficient shows that the pitch angle varies from -10deg to
+10deg but in a different curve which gives the angle of attack
β -10deg to +10deg Within the azimuth angle range 0-360deg the
following values for the CLCD relation are obtained CLCD
= 80 or CLCD=-80 (Fig5)
Fig 5 VAWT simulation with pitch angle φ optimisation for maximum CLCD
In aircraft design it is very important to make the
aerodynamic system of the plane to work with the highest
CLCD coefficient ratio This coefficient ratio ensures that
the plane achieves the highest efficiency during the flight In
order to check the wind turbine operation process against the
classical aerodynamics theories it becomes important to
perform simulation by making the system operate at the
maximum CLCD coefficient For the NACA0018 the max
CLCD is 80 or -80 in the opposite direction
Figure 6 presents results of all the 3 simulation process
maximum torques T per one rotor rotation I is clear that the
most effective pitching is at the maximum T while the
CLCD coefficient is not the maximal value For this specific
blade design it is possible to achieve the maximum torque of
up to 9800 Nm while without the pitch control system the
maximal torque is merely 8900 Nm What is most interesting
is that while pitching operates to reach the maximum CLCD
coefficient the maximum torque is just 8000 Nm which is
even less than with no pitching
In the process of wind turbine simulation it is also
important to get the right figures - examine total torque
integration over one rotation of the rotor As we see from the
Figure 6 the most effective control is pitching at the
maximum torque which will bring the highest power per one
rotation One interesting fact is that control of the pitch with
the maximum CLCD gives the lowest integrated torque per
one rotation
The Figure 6 shows the information about the torque
integration over one rotation of the rotor It is important not
just to look at the curves but to see the final values after total
14 Toms Komass Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch System Using Matlab Tools
rotation Pitch control for the maximum torque brings the
total value per one rotation 21249106 In case of system
simulation with the pitch form the most effective CLCD in
total integrated torque T is 17345106 When the system is
simulated with no pitch control to optimise the angle of
attack the total integrated torque is 19166106
Fig 6 VAWT simulated system maximum torque T data and integrated torque data
Results of the experiment show that the effect of the pitch
control is in the region of the rotation position 60deg - 120 deg
and 240deg - 290deg In all other regions the pitch control system
is not required But the effect of pitching in those regions in
general brings a 10 higher result comparing to no pitching
system or 184 comparing to pitch system for optimal
coefficient CLCD Since this is just theoretical information
for the pitch system effective results calculation of the
electrical energy consumption during use of the pitch control
was not done
4 Conclusions
1 Pitch control simulation compared to the simulation
without pitch control shows a 10 better results with a
higher torque which can be converted into electric
energy
2 Pitch control system with the maximum torque search
gives better results in comparison to the pitch system
with the maximum CLCD coefficient Pitching at the
maximal torque gives the results that are by 184
better compared to the pitching with the maximal
CLCD
3 Pitch control system demonstrates the highest efficiency
at the azimuth angle being within the range 60deg - 120deg
and 240deg - 290deg and 95 of the achieved 14
improvement fall exactly within these ranges of the
rotation angle
4 The simulation system algorithms can be adjusted to any
turbine dimensions and turbine blade profile The
simulation program is flexible and can be used for future
VAWT development simulation systems
References
[1] Bati A F Brennan F The Modelling Simulation and Control of a 50 kW Vertical Axis Wind Turbine Asian Transactions on Engineering vol2 No4 2012 pp14-24
[2] Taher GAbu-El-Yazied Ahmad MAli Mahdi SAl-Ajmi Islam MHassan Effect of Number of Blades and Blade Chord Length on the Performance of Darrieus Wind Turbine Journal lsquoAmerican Journal of Mechanical Engineering and Automationrsquo Vol2 No1 2015 pp 16-25
[3] Ben Guerts Cario Simao Ferreira Gerarg van Bussel Aerodynamic Analyse of a Vertical Axis Wind Turbine in a Diffuser 3rd EWEA Conference - Torque 2010 The Science of making Torque from Wind Heraklion Crete Greece 28-30 June 2010
[4] Hameed MS Shahid F (2012) Evaluation of Aerodynamic Forces over a Vertical Axis Wind Turbine Blade through CFD analysis J Appl Mech Eng 1116 doi1041722168-98731000116
[5] J J Miau S Y Liang R M Yu C C Hu T S Leu J C Cheng and S J Chen Design and Test of a Vertical-Axis Wind Turbine with Pitch Control Applied Mechanics and Materials Vol 225 (2012) pp 338-343
[6] Chris Ferone Michael Robinson Ying Shi and Vinod Vishwakarma A Control Policy for Maximizing the Power Output of Variable Pitch VAWTs and Reducing Fluctuations in Power with an Battery 2012 College of Engineering Research Symposium Pennsylvania State University University Park PA April 5 2012
[7] Ion NILA Radu BOGATEANU Marcel STERE Small power wind turbine (Type DARRIEUS) Journal INCAS BULLETIN Volume 4 Issue 1 2012 pp 135 ndash 142
[8] Muhammad Mahmood Aslam Bhuttalowast Nasir Hayat Ahmed Uzair Farooq Zain Ali Sh Rehan Jamil Zahid Hussain Vertical axis wind turbine ndash A review of various configurations and design techniques Journal Elsevier - Renewable and Sustainable Energy Reviews 16 (2012) 1926ndash 1939
[9] Andrzej J Fiedler Stephen Tullis Blade Offset and Pitch Effects on a High Solidity Vertical Axis Wind Turbine Journal WIND ENGINEERING VOLUME 33 NO 3 2009 PP 237ndash246
[10] Karl O Merz A Method for Analysis of VAWT Aerodynamic Loads under Turbulent Wind and Platform Motion DeepWind 19-20 January 2012 Trondheim Norway pp44-51
AASCIT Journal of Energy 2015 2(3) 9-15 15
[11] Mazharul Islam_ David S-K Ting Amir Fartaj Aerodynamic models for Darrieus-type straight-bladed vertical axis wind turbines Journal Elsevier - Renewable and Sustainable Energy Reviews 12 (2008) 1087ndash1109
[12] MH Mohamed Performance investigation of H-rotor Darrieus turbine with new airfoil shapes Journal Elsevier - Energy 47 (2012) pp522-530
[13] T Maicirctre E Amet C Pellone Modeling of the flow in a Darrieus water turbine Wall grid refinement analysis and comparison with experiments Journal Elsevier - Renewable Energy 51 (2013) pp497-512
[14] Syed Shah Khalid Zhang Liang Sheng Qi-hu and Zhang Xue-Wei Difference between Fixed and Variable Pitch Vertical Axis Tidal Turbine-Using CFD Analysis in CFX Research Journal of Applied Sciences Engineering and Technology 5(1) 319-325 January 01 2013
[15] Peter J Schubel Richard J Crossley Wind Turbine Blade Design Energies 2012 5 3425-3449 doi103390en5093425 September 06 2012
[16] Gerald M Angle Franz A Pertl Mary Ann Clarke James E Smith Lift Augmentation for Vertical Axis Wind Turbines International Journal of Engineering (IJE) Volume (4) Issue (5) pp 430 ndash 442 December 2010
[17] Sachin Khajuria Jaspreet Kaur Implementation of Pitch Control Of wind Turbine Using Simulink (Matlab) International Journal of Advanced Research in Computer Engineering amp Technology Volume 1 Issue 4 pp196-200 June 2012
[18] Prasad Chougule Sųren Nielsen Overview and Design of self-acting pitch control mechanism for vertical axis wind turbine using multi body simulation approach Journal of Physics Conference Series 524 (2014) 012055 - The Science of Making Torque from Wind 2014 (TORQUE 2014) doi1010881742-65965241012055 June 2014
[19] httpairfoiltoolscomairfoildetailsairfoil=naca0018-il ndash opened 08042015 information about blade profile NACA0018
12 Toms Komass Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch System Using Matlab Tools
Fig 2 Matlab Editor and SIMULINK simulation system flow chart
In the process of simulation the 2 major information fields
are analysed The first field to compare the simulation code
to the other methods is simulation of the angle of attack α
The second important information is the wind turbine rotor
torque produced by one blade on the rotor with no pitch
control and with the stall angle of attack α
Angle of attack in the period of rotation from 0deg ndash 180deg is
symmetrical to the curve in the period 181deg-360deg (Fig3)
which shows that the calculations are right In the period 0deg-
180deg the first half of the trend is symmetrical at the angle 90deg
which shows that the mathematical calculations performed
by the system are correct
The simulation system is run in 3 ways Description of
each of the three ways is given below
1 The first simulation is run with the pitch angle 0 This is
done to check the simulation system
2 The second simulation is run with the aim to find the
maximum torque The main task of this simulation is to
find the optimal pitch angle to reach the maximal torque
from the wind turbine blade
3 The third simulation is run to search for the maximal
CLCD This simulation is done to find the optimal pitch
angle φ for the maximal CLCD
System simulation with no pitch control system for pitch
angle optimisation shows that the mathematical model is
correct where the torque T and the angle of attack α is in the
correct shape (Fig5) The angle of attack α and CLCD is
symmetrical from 0deg - 180deg to 180deg - 360deg The maximal
torque T received from the wind flow kinetic energy is
mirror-symmetric to the ranges from 0deg - 180deg to 180deg - 360deg
(Fig3)
The results of simulation with no pitch control show that if
the angle of attack is fixed the maximum torque is fixed to
the position of the blade The main solution in the industry is
to develop the pitch control The main target for the pitch
control system is to create the optimal angle of the blade to
reach the maximum performance of the turbine For the best
turbine performance one option is to simulate the system in
order to achieve the two main targets first target being the
optimal torque and second one - the optimal CLCD
Pitch system simulation shows that the pitch angle is
variable in the range -10deg to +10deg which gives the angle of
attack β in the range -16deg to +16deg In total the pitch angle
differs depending on the rotor position azimuth angle θ
(Fig4)
Fig 3 VAWT simulation with no pitch angle φ optimisation
AASCIT Journal of Energy 2015 2(3) 9-15 13
Fig 4 VAWT simulation with pitch angle φ optimisation for maximum torque T
The simulation that is done to find the maximum torque
shows that the pitching angle depends on the azimuth angle θ
For each azimuth angle there is own a most effective pitch
angle The most optimal pitch angle gives the maximum T
value The total torque from pitching is the cumulative value
for the lift and drag force vectors on the positive direction
axe τ The pitching angle is symmetrical in the azimuth angle
range of 0deg-180deg to range 180deg-360deg This is very correct as
the shape of the blade is symmetrical and the force has a
negative value but the vector on the τ gives the positive
force and torque
System simulation that is run to find the maximum CLCD
coefficient shows that the pitch angle varies from -10deg to
+10deg but in a different curve which gives the angle of attack
β -10deg to +10deg Within the azimuth angle range 0-360deg the
following values for the CLCD relation are obtained CLCD
= 80 or CLCD=-80 (Fig5)
Fig 5 VAWT simulation with pitch angle φ optimisation for maximum CLCD
In aircraft design it is very important to make the
aerodynamic system of the plane to work with the highest
CLCD coefficient ratio This coefficient ratio ensures that
the plane achieves the highest efficiency during the flight In
order to check the wind turbine operation process against the
classical aerodynamics theories it becomes important to
perform simulation by making the system operate at the
maximum CLCD coefficient For the NACA0018 the max
CLCD is 80 or -80 in the opposite direction
Figure 6 presents results of all the 3 simulation process
maximum torques T per one rotor rotation I is clear that the
most effective pitching is at the maximum T while the
CLCD coefficient is not the maximal value For this specific
blade design it is possible to achieve the maximum torque of
up to 9800 Nm while without the pitch control system the
maximal torque is merely 8900 Nm What is most interesting
is that while pitching operates to reach the maximum CLCD
coefficient the maximum torque is just 8000 Nm which is
even less than with no pitching
In the process of wind turbine simulation it is also
important to get the right figures - examine total torque
integration over one rotation of the rotor As we see from the
Figure 6 the most effective control is pitching at the
maximum torque which will bring the highest power per one
rotation One interesting fact is that control of the pitch with
the maximum CLCD gives the lowest integrated torque per
one rotation
The Figure 6 shows the information about the torque
integration over one rotation of the rotor It is important not
just to look at the curves but to see the final values after total
14 Toms Komass Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch System Using Matlab Tools
rotation Pitch control for the maximum torque brings the
total value per one rotation 21249106 In case of system
simulation with the pitch form the most effective CLCD in
total integrated torque T is 17345106 When the system is
simulated with no pitch control to optimise the angle of
attack the total integrated torque is 19166106
Fig 6 VAWT simulated system maximum torque T data and integrated torque data
Results of the experiment show that the effect of the pitch
control is in the region of the rotation position 60deg - 120 deg
and 240deg - 290deg In all other regions the pitch control system
is not required But the effect of pitching in those regions in
general brings a 10 higher result comparing to no pitching
system or 184 comparing to pitch system for optimal
coefficient CLCD Since this is just theoretical information
for the pitch system effective results calculation of the
electrical energy consumption during use of the pitch control
was not done
4 Conclusions
1 Pitch control simulation compared to the simulation
without pitch control shows a 10 better results with a
higher torque which can be converted into electric
energy
2 Pitch control system with the maximum torque search
gives better results in comparison to the pitch system
with the maximum CLCD coefficient Pitching at the
maximal torque gives the results that are by 184
better compared to the pitching with the maximal
CLCD
3 Pitch control system demonstrates the highest efficiency
at the azimuth angle being within the range 60deg - 120deg
and 240deg - 290deg and 95 of the achieved 14
improvement fall exactly within these ranges of the
rotation angle
4 The simulation system algorithms can be adjusted to any
turbine dimensions and turbine blade profile The
simulation program is flexible and can be used for future
VAWT development simulation systems
References
[1] Bati A F Brennan F The Modelling Simulation and Control of a 50 kW Vertical Axis Wind Turbine Asian Transactions on Engineering vol2 No4 2012 pp14-24
[2] Taher GAbu-El-Yazied Ahmad MAli Mahdi SAl-Ajmi Islam MHassan Effect of Number of Blades and Blade Chord Length on the Performance of Darrieus Wind Turbine Journal lsquoAmerican Journal of Mechanical Engineering and Automationrsquo Vol2 No1 2015 pp 16-25
[3] Ben Guerts Cario Simao Ferreira Gerarg van Bussel Aerodynamic Analyse of a Vertical Axis Wind Turbine in a Diffuser 3rd EWEA Conference - Torque 2010 The Science of making Torque from Wind Heraklion Crete Greece 28-30 June 2010
[4] Hameed MS Shahid F (2012) Evaluation of Aerodynamic Forces over a Vertical Axis Wind Turbine Blade through CFD analysis J Appl Mech Eng 1116 doi1041722168-98731000116
[5] J J Miau S Y Liang R M Yu C C Hu T S Leu J C Cheng and S J Chen Design and Test of a Vertical-Axis Wind Turbine with Pitch Control Applied Mechanics and Materials Vol 225 (2012) pp 338-343
[6] Chris Ferone Michael Robinson Ying Shi and Vinod Vishwakarma A Control Policy for Maximizing the Power Output of Variable Pitch VAWTs and Reducing Fluctuations in Power with an Battery 2012 College of Engineering Research Symposium Pennsylvania State University University Park PA April 5 2012
[7] Ion NILA Radu BOGATEANU Marcel STERE Small power wind turbine (Type DARRIEUS) Journal INCAS BULLETIN Volume 4 Issue 1 2012 pp 135 ndash 142
[8] Muhammad Mahmood Aslam Bhuttalowast Nasir Hayat Ahmed Uzair Farooq Zain Ali Sh Rehan Jamil Zahid Hussain Vertical axis wind turbine ndash A review of various configurations and design techniques Journal Elsevier - Renewable and Sustainable Energy Reviews 16 (2012) 1926ndash 1939
[9] Andrzej J Fiedler Stephen Tullis Blade Offset and Pitch Effects on a High Solidity Vertical Axis Wind Turbine Journal WIND ENGINEERING VOLUME 33 NO 3 2009 PP 237ndash246
[10] Karl O Merz A Method for Analysis of VAWT Aerodynamic Loads under Turbulent Wind and Platform Motion DeepWind 19-20 January 2012 Trondheim Norway pp44-51
AASCIT Journal of Energy 2015 2(3) 9-15 15
[11] Mazharul Islam_ David S-K Ting Amir Fartaj Aerodynamic models for Darrieus-type straight-bladed vertical axis wind turbines Journal Elsevier - Renewable and Sustainable Energy Reviews 12 (2008) 1087ndash1109
[12] MH Mohamed Performance investigation of H-rotor Darrieus turbine with new airfoil shapes Journal Elsevier - Energy 47 (2012) pp522-530
[13] T Maicirctre E Amet C Pellone Modeling of the flow in a Darrieus water turbine Wall grid refinement analysis and comparison with experiments Journal Elsevier - Renewable Energy 51 (2013) pp497-512
[14] Syed Shah Khalid Zhang Liang Sheng Qi-hu and Zhang Xue-Wei Difference between Fixed and Variable Pitch Vertical Axis Tidal Turbine-Using CFD Analysis in CFX Research Journal of Applied Sciences Engineering and Technology 5(1) 319-325 January 01 2013
[15] Peter J Schubel Richard J Crossley Wind Turbine Blade Design Energies 2012 5 3425-3449 doi103390en5093425 September 06 2012
[16] Gerald M Angle Franz A Pertl Mary Ann Clarke James E Smith Lift Augmentation for Vertical Axis Wind Turbines International Journal of Engineering (IJE) Volume (4) Issue (5) pp 430 ndash 442 December 2010
[17] Sachin Khajuria Jaspreet Kaur Implementation of Pitch Control Of wind Turbine Using Simulink (Matlab) International Journal of Advanced Research in Computer Engineering amp Technology Volume 1 Issue 4 pp196-200 June 2012
[18] Prasad Chougule Sųren Nielsen Overview and Design of self-acting pitch control mechanism for vertical axis wind turbine using multi body simulation approach Journal of Physics Conference Series 524 (2014) 012055 - The Science of Making Torque from Wind 2014 (TORQUE 2014) doi1010881742-65965241012055 June 2014
[19] httpairfoiltoolscomairfoildetailsairfoil=naca0018-il ndash opened 08042015 information about blade profile NACA0018
AASCIT Journal of Energy 2015 2(3) 9-15 13
Fig 4 VAWT simulation with pitch angle φ optimisation for maximum torque T
The simulation that is done to find the maximum torque
shows that the pitching angle depends on the azimuth angle θ
For each azimuth angle there is own a most effective pitch
angle The most optimal pitch angle gives the maximum T
value The total torque from pitching is the cumulative value
for the lift and drag force vectors on the positive direction
axe τ The pitching angle is symmetrical in the azimuth angle
range of 0deg-180deg to range 180deg-360deg This is very correct as
the shape of the blade is symmetrical and the force has a
negative value but the vector on the τ gives the positive
force and torque
System simulation that is run to find the maximum CLCD
coefficient shows that the pitch angle varies from -10deg to
+10deg but in a different curve which gives the angle of attack
β -10deg to +10deg Within the azimuth angle range 0-360deg the
following values for the CLCD relation are obtained CLCD
= 80 or CLCD=-80 (Fig5)
Fig 5 VAWT simulation with pitch angle φ optimisation for maximum CLCD
In aircraft design it is very important to make the
aerodynamic system of the plane to work with the highest
CLCD coefficient ratio This coefficient ratio ensures that
the plane achieves the highest efficiency during the flight In
order to check the wind turbine operation process against the
classical aerodynamics theories it becomes important to
perform simulation by making the system operate at the
maximum CLCD coefficient For the NACA0018 the max
CLCD is 80 or -80 in the opposite direction
Figure 6 presents results of all the 3 simulation process
maximum torques T per one rotor rotation I is clear that the
most effective pitching is at the maximum T while the
CLCD coefficient is not the maximal value For this specific
blade design it is possible to achieve the maximum torque of
up to 9800 Nm while without the pitch control system the
maximal torque is merely 8900 Nm What is most interesting
is that while pitching operates to reach the maximum CLCD
coefficient the maximum torque is just 8000 Nm which is
even less than with no pitching
In the process of wind turbine simulation it is also
important to get the right figures - examine total torque
integration over one rotation of the rotor As we see from the
Figure 6 the most effective control is pitching at the
maximum torque which will bring the highest power per one
rotation One interesting fact is that control of the pitch with
the maximum CLCD gives the lowest integrated torque per
one rotation
The Figure 6 shows the information about the torque
integration over one rotation of the rotor It is important not
just to look at the curves but to see the final values after total
14 Toms Komass Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch System Using Matlab Tools
rotation Pitch control for the maximum torque brings the
total value per one rotation 21249106 In case of system
simulation with the pitch form the most effective CLCD in
total integrated torque T is 17345106 When the system is
simulated with no pitch control to optimise the angle of
attack the total integrated torque is 19166106
Fig 6 VAWT simulated system maximum torque T data and integrated torque data
Results of the experiment show that the effect of the pitch
control is in the region of the rotation position 60deg - 120 deg
and 240deg - 290deg In all other regions the pitch control system
is not required But the effect of pitching in those regions in
general brings a 10 higher result comparing to no pitching
system or 184 comparing to pitch system for optimal
coefficient CLCD Since this is just theoretical information
for the pitch system effective results calculation of the
electrical energy consumption during use of the pitch control
was not done
4 Conclusions
1 Pitch control simulation compared to the simulation
without pitch control shows a 10 better results with a
higher torque which can be converted into electric
energy
2 Pitch control system with the maximum torque search
gives better results in comparison to the pitch system
with the maximum CLCD coefficient Pitching at the
maximal torque gives the results that are by 184
better compared to the pitching with the maximal
CLCD
3 Pitch control system demonstrates the highest efficiency
at the azimuth angle being within the range 60deg - 120deg
and 240deg - 290deg and 95 of the achieved 14
improvement fall exactly within these ranges of the
rotation angle
4 The simulation system algorithms can be adjusted to any
turbine dimensions and turbine blade profile The
simulation program is flexible and can be used for future
VAWT development simulation systems
References
[1] Bati A F Brennan F The Modelling Simulation and Control of a 50 kW Vertical Axis Wind Turbine Asian Transactions on Engineering vol2 No4 2012 pp14-24
[2] Taher GAbu-El-Yazied Ahmad MAli Mahdi SAl-Ajmi Islam MHassan Effect of Number of Blades and Blade Chord Length on the Performance of Darrieus Wind Turbine Journal lsquoAmerican Journal of Mechanical Engineering and Automationrsquo Vol2 No1 2015 pp 16-25
[3] Ben Guerts Cario Simao Ferreira Gerarg van Bussel Aerodynamic Analyse of a Vertical Axis Wind Turbine in a Diffuser 3rd EWEA Conference - Torque 2010 The Science of making Torque from Wind Heraklion Crete Greece 28-30 June 2010
[4] Hameed MS Shahid F (2012) Evaluation of Aerodynamic Forces over a Vertical Axis Wind Turbine Blade through CFD analysis J Appl Mech Eng 1116 doi1041722168-98731000116
[5] J J Miau S Y Liang R M Yu C C Hu T S Leu J C Cheng and S J Chen Design and Test of a Vertical-Axis Wind Turbine with Pitch Control Applied Mechanics and Materials Vol 225 (2012) pp 338-343
[6] Chris Ferone Michael Robinson Ying Shi and Vinod Vishwakarma A Control Policy for Maximizing the Power Output of Variable Pitch VAWTs and Reducing Fluctuations in Power with an Battery 2012 College of Engineering Research Symposium Pennsylvania State University University Park PA April 5 2012
[7] Ion NILA Radu BOGATEANU Marcel STERE Small power wind turbine (Type DARRIEUS) Journal INCAS BULLETIN Volume 4 Issue 1 2012 pp 135 ndash 142
[8] Muhammad Mahmood Aslam Bhuttalowast Nasir Hayat Ahmed Uzair Farooq Zain Ali Sh Rehan Jamil Zahid Hussain Vertical axis wind turbine ndash A review of various configurations and design techniques Journal Elsevier - Renewable and Sustainable Energy Reviews 16 (2012) 1926ndash 1939
[9] Andrzej J Fiedler Stephen Tullis Blade Offset and Pitch Effects on a High Solidity Vertical Axis Wind Turbine Journal WIND ENGINEERING VOLUME 33 NO 3 2009 PP 237ndash246
[10] Karl O Merz A Method for Analysis of VAWT Aerodynamic Loads under Turbulent Wind and Platform Motion DeepWind 19-20 January 2012 Trondheim Norway pp44-51
AASCIT Journal of Energy 2015 2(3) 9-15 15
[11] Mazharul Islam_ David S-K Ting Amir Fartaj Aerodynamic models for Darrieus-type straight-bladed vertical axis wind turbines Journal Elsevier - Renewable and Sustainable Energy Reviews 12 (2008) 1087ndash1109
[12] MH Mohamed Performance investigation of H-rotor Darrieus turbine with new airfoil shapes Journal Elsevier - Energy 47 (2012) pp522-530
[13] T Maicirctre E Amet C Pellone Modeling of the flow in a Darrieus water turbine Wall grid refinement analysis and comparison with experiments Journal Elsevier - Renewable Energy 51 (2013) pp497-512
[14] Syed Shah Khalid Zhang Liang Sheng Qi-hu and Zhang Xue-Wei Difference between Fixed and Variable Pitch Vertical Axis Tidal Turbine-Using CFD Analysis in CFX Research Journal of Applied Sciences Engineering and Technology 5(1) 319-325 January 01 2013
[15] Peter J Schubel Richard J Crossley Wind Turbine Blade Design Energies 2012 5 3425-3449 doi103390en5093425 September 06 2012
[16] Gerald M Angle Franz A Pertl Mary Ann Clarke James E Smith Lift Augmentation for Vertical Axis Wind Turbines International Journal of Engineering (IJE) Volume (4) Issue (5) pp 430 ndash 442 December 2010
[17] Sachin Khajuria Jaspreet Kaur Implementation of Pitch Control Of wind Turbine Using Simulink (Matlab) International Journal of Advanced Research in Computer Engineering amp Technology Volume 1 Issue 4 pp196-200 June 2012
[18] Prasad Chougule Sųren Nielsen Overview and Design of self-acting pitch control mechanism for vertical axis wind turbine using multi body simulation approach Journal of Physics Conference Series 524 (2014) 012055 - The Science of Making Torque from Wind 2014 (TORQUE 2014) doi1010881742-65965241012055 June 2014
[19] httpairfoiltoolscomairfoildetailsairfoil=naca0018-il ndash opened 08042015 information about blade profile NACA0018
14 Toms Komass Mathematical Modelling and Calculation of Vertical Axis Wind Turbine Pitch System Using Matlab Tools
rotation Pitch control for the maximum torque brings the
total value per one rotation 21249106 In case of system
simulation with the pitch form the most effective CLCD in
total integrated torque T is 17345106 When the system is
simulated with no pitch control to optimise the angle of
attack the total integrated torque is 19166106
Fig 6 VAWT simulated system maximum torque T data and integrated torque data
Results of the experiment show that the effect of the pitch
control is in the region of the rotation position 60deg - 120 deg
and 240deg - 290deg In all other regions the pitch control system
is not required But the effect of pitching in those regions in
general brings a 10 higher result comparing to no pitching
system or 184 comparing to pitch system for optimal
coefficient CLCD Since this is just theoretical information
for the pitch system effective results calculation of the
electrical energy consumption during use of the pitch control
was not done
4 Conclusions
1 Pitch control simulation compared to the simulation
without pitch control shows a 10 better results with a
higher torque which can be converted into electric
energy
2 Pitch control system with the maximum torque search
gives better results in comparison to the pitch system
with the maximum CLCD coefficient Pitching at the
maximal torque gives the results that are by 184
better compared to the pitching with the maximal
CLCD
3 Pitch control system demonstrates the highest efficiency
at the azimuth angle being within the range 60deg - 120deg
and 240deg - 290deg and 95 of the achieved 14
improvement fall exactly within these ranges of the
rotation angle
4 The simulation system algorithms can be adjusted to any
turbine dimensions and turbine blade profile The
simulation program is flexible and can be used for future
VAWT development simulation systems
References
[1] Bati A F Brennan F The Modelling Simulation and Control of a 50 kW Vertical Axis Wind Turbine Asian Transactions on Engineering vol2 No4 2012 pp14-24
[2] Taher GAbu-El-Yazied Ahmad MAli Mahdi SAl-Ajmi Islam MHassan Effect of Number of Blades and Blade Chord Length on the Performance of Darrieus Wind Turbine Journal lsquoAmerican Journal of Mechanical Engineering and Automationrsquo Vol2 No1 2015 pp 16-25
[3] Ben Guerts Cario Simao Ferreira Gerarg van Bussel Aerodynamic Analyse of a Vertical Axis Wind Turbine in a Diffuser 3rd EWEA Conference - Torque 2010 The Science of making Torque from Wind Heraklion Crete Greece 28-30 June 2010
[4] Hameed MS Shahid F (2012) Evaluation of Aerodynamic Forces over a Vertical Axis Wind Turbine Blade through CFD analysis J Appl Mech Eng 1116 doi1041722168-98731000116
[5] J J Miau S Y Liang R M Yu C C Hu T S Leu J C Cheng and S J Chen Design and Test of a Vertical-Axis Wind Turbine with Pitch Control Applied Mechanics and Materials Vol 225 (2012) pp 338-343
[6] Chris Ferone Michael Robinson Ying Shi and Vinod Vishwakarma A Control Policy for Maximizing the Power Output of Variable Pitch VAWTs and Reducing Fluctuations in Power with an Battery 2012 College of Engineering Research Symposium Pennsylvania State University University Park PA April 5 2012
[7] Ion NILA Radu BOGATEANU Marcel STERE Small power wind turbine (Type DARRIEUS) Journal INCAS BULLETIN Volume 4 Issue 1 2012 pp 135 ndash 142
[8] Muhammad Mahmood Aslam Bhuttalowast Nasir Hayat Ahmed Uzair Farooq Zain Ali Sh Rehan Jamil Zahid Hussain Vertical axis wind turbine ndash A review of various configurations and design techniques Journal Elsevier - Renewable and Sustainable Energy Reviews 16 (2012) 1926ndash 1939
[9] Andrzej J Fiedler Stephen Tullis Blade Offset and Pitch Effects on a High Solidity Vertical Axis Wind Turbine Journal WIND ENGINEERING VOLUME 33 NO 3 2009 PP 237ndash246
[10] Karl O Merz A Method for Analysis of VAWT Aerodynamic Loads under Turbulent Wind and Platform Motion DeepWind 19-20 January 2012 Trondheim Norway pp44-51
AASCIT Journal of Energy 2015 2(3) 9-15 15
[11] Mazharul Islam_ David S-K Ting Amir Fartaj Aerodynamic models for Darrieus-type straight-bladed vertical axis wind turbines Journal Elsevier - Renewable and Sustainable Energy Reviews 12 (2008) 1087ndash1109
[12] MH Mohamed Performance investigation of H-rotor Darrieus turbine with new airfoil shapes Journal Elsevier - Energy 47 (2012) pp522-530
[13] T Maicirctre E Amet C Pellone Modeling of the flow in a Darrieus water turbine Wall grid refinement analysis and comparison with experiments Journal Elsevier - Renewable Energy 51 (2013) pp497-512
[14] Syed Shah Khalid Zhang Liang Sheng Qi-hu and Zhang Xue-Wei Difference between Fixed and Variable Pitch Vertical Axis Tidal Turbine-Using CFD Analysis in CFX Research Journal of Applied Sciences Engineering and Technology 5(1) 319-325 January 01 2013
[15] Peter J Schubel Richard J Crossley Wind Turbine Blade Design Energies 2012 5 3425-3449 doi103390en5093425 September 06 2012
[16] Gerald M Angle Franz A Pertl Mary Ann Clarke James E Smith Lift Augmentation for Vertical Axis Wind Turbines International Journal of Engineering (IJE) Volume (4) Issue (5) pp 430 ndash 442 December 2010
[17] Sachin Khajuria Jaspreet Kaur Implementation of Pitch Control Of wind Turbine Using Simulink (Matlab) International Journal of Advanced Research in Computer Engineering amp Technology Volume 1 Issue 4 pp196-200 June 2012
[18] Prasad Chougule Sųren Nielsen Overview and Design of self-acting pitch control mechanism for vertical axis wind turbine using multi body simulation approach Journal of Physics Conference Series 524 (2014) 012055 - The Science of Making Torque from Wind 2014 (TORQUE 2014) doi1010881742-65965241012055 June 2014
[19] httpairfoiltoolscomairfoildetailsairfoil=naca0018-il ndash opened 08042015 information about blade profile NACA0018
AASCIT Journal of Energy 2015 2(3) 9-15 15
[11] Mazharul Islam_ David S-K Ting Amir Fartaj Aerodynamic models for Darrieus-type straight-bladed vertical axis wind turbines Journal Elsevier - Renewable and Sustainable Energy Reviews 12 (2008) 1087ndash1109
[12] MH Mohamed Performance investigation of H-rotor Darrieus turbine with new airfoil shapes Journal Elsevier - Energy 47 (2012) pp522-530
[13] T Maicirctre E Amet C Pellone Modeling of the flow in a Darrieus water turbine Wall grid refinement analysis and comparison with experiments Journal Elsevier - Renewable Energy 51 (2013) pp497-512
[14] Syed Shah Khalid Zhang Liang Sheng Qi-hu and Zhang Xue-Wei Difference between Fixed and Variable Pitch Vertical Axis Tidal Turbine-Using CFD Analysis in CFX Research Journal of Applied Sciences Engineering and Technology 5(1) 319-325 January 01 2013
[15] Peter J Schubel Richard J Crossley Wind Turbine Blade Design Energies 2012 5 3425-3449 doi103390en5093425 September 06 2012
[16] Gerald M Angle Franz A Pertl Mary Ann Clarke James E Smith Lift Augmentation for Vertical Axis Wind Turbines International Journal of Engineering (IJE) Volume (4) Issue (5) pp 430 ndash 442 December 2010
[17] Sachin Khajuria Jaspreet Kaur Implementation of Pitch Control Of wind Turbine Using Simulink (Matlab) International Journal of Advanced Research in Computer Engineering amp Technology Volume 1 Issue 4 pp196-200 June 2012
[18] Prasad Chougule Sųren Nielsen Overview and Design of self-acting pitch control mechanism for vertical axis wind turbine using multi body simulation approach Journal of Physics Conference Series 524 (2014) 012055 - The Science of Making Torque from Wind 2014 (TORQUE 2014) doi1010881742-65965241012055 June 2014
[19] httpairfoiltoolscomairfoildetailsairfoil=naca0018-il ndash opened 08042015 information about blade profile NACA0018