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TRANSCRIPT
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Analysis and performance comparison of an OWC wavepower plant equipped with Wells and Impulse turbines
Eugnio V. Corvelo
Abstract
The paper deals with numerical simulation on time domain of the performance of an OWC
wave power plant equipped with two parallel electric turbo-generators sets equipped with
Wells or with Impulse turbines. It is also studied the performance of the OWC equipped with
Wells turbine and a fast relief valve in parallel. An algorithm to control the turbines rotational
speed for maximum power output and energy quality is also presented.
1 Introduction
Oscillating water column (OWC) wave
energy power plants are to date those that
have known a more extensive
development. Full-scale prototypes have
been built in some countries. The device is
constituted by a hydro-pneumatic chamber,
generally similar to a large parallelepiped
(or cylinder) shape with the side walls
partially submerged in the water. The
hydro-pneumatic chamber form inside a
free-surface, that oscillates by the action ofwaves. This rising and falling of the water
level promotes an air flow that drives one
or more air turbines coupled to electric
generators. The air flow is non-steady,
with the flow changing direction twice per
wave cycle, and the amplitude of the air
flow oscillations changing in different time
scales. Therefore designing a self-
rectifying turbine to respond satisfactorily
to these operating conditions is a
challenge.
In the late seventies, a self-rectifying
turbine to equip OWC was invented: The
Wells turbine. However, this type of
turbine has the disadvantage of presenting
severe and abrupt drops in power due to
flow separation around the blades,
depending on flow velocities and turbine
rotation speed. In order to overcome these
drawbacks, other types of self-rectifyingturbines have been proposed for this
purpose, namely Impulse turbines.
Although the efficiency peak of theseturbines is lower than the Wells efficiency
peak, they do not exhibit the sudden power
drop, characteristic of Wells turbines. This
study aims to compare these two types of
turbines in situations of real operation, ie,
as integral parts of the energy conversion
chain of an OWC.
The comparison has necessarily to be made
on time domain, because the relation
between flow coefficient and pressurecoefficient of impulse turbine is non-linear.
Further, it is known that turbine flow
characteristics affect the absorption
capacity of hydro-pneumatic chamber. It
was also required to understand how the
turbine affects the amount and the quality
of electric energy, related to a strategy to
control turbine rotation speed.
In order to obtain realistic results, the
numeric simulations were performed based
on previous studies for the wave power
plant proposed to integrate the new
breakwater at the mouth of Douro River,
Oporto. The site wave climate and the
hydro-pneumatic chamber hydrodynamic
coefficients were used. Turbine flow
characteristics were obtained
experimentally at IST laboratories [1].
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2 HydrodynamicsThe hydrodynamic coefficients of the
pneumatic chamber were calculated using
the software WAMIT [2]. This software
uses the panel method to calculate several
characteristic coefficients of bodieshydrodynamic behavior subjected to wave
field action. For OWC devices, it is
necessary to calculate the transfer function
that relates the diffracted flow, with the
amplitude of the incident wave, and the
function that relates the flow radiated by
pressure inside the chamber. Thus,
assuming that () is the excitation-
volume-flow coefficient for regular
incident waves of frequency and
amplitude , we have [3, 4]:
= A . 2.1 For the radiated flow we have
+ = . 2.2
Linear water wave theory allows us todecompose the water flow that enters and
exits the hydro-pneumatic chamber, ,into diffracted flow , and radiatedflow [4]:= + 2.3
Fig 1 Hydrodynamic coefficients: excitation-volume flow coefficient for different waves
directions, (
1blue, for 60;
2green, 50;
3red, 40; 4black, 30).
Fig 2 Hydrodynamic coefficients: radiation
conductance, (solid line, red), radiationsusceptance (dashed line, blue).Wave climate of 46 sea states,
characterized by significant wave height,energy periods and frequency of
occurrence, was used in the present study.
In the calculation of hydrodynamic
coefficients, it is assumed that the system
behaves linearly. Therefore, the nonlinear
losses were not taken into consideration in
calculating the hydrodynamic coefficients
and hydrodynamic behavior. Thus, in order
not to ignore these losses, it is assumed
that they correspond to a decrease in
incident energy, which is reflected as a
significant reduction in height of waves at
the site.
3 Turbine
The numerical simulations conducted in
this study were based on the dimensionless
curves obtained experimentally for the
Wells and Impulse turbine [1]. These
curves allow to relate the mass flow
, to
the differential pressure in the hydro-pneumatic chamber . Applyingdimensional analysis for incompressible
flows, we can write:
= , = ,where,
=
, 3.1
0 0.5 1 1.5
w@radsD
0
200
400
600
800
G1HwL,
G2HwL,
G3HwL
,G4HwL
@m
2sD
0 0.5 1 1.5 2
w @radsD
-0.04
-0.02
0
0.02
0.04
0.06
BHwL,
CHwL
@m
4sgkD
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= , 3.2
=
=
, 3.3
where is the pressure coefficient, the
flow coefficient, the power coefficient
and , , and , the density of air, therotational speed and diameter of the
turbine, respectively. The characteristic
curves for the Wells turbine are plotted in
Figures 3, 4 and 7
Fig 3 Wells turbine power coefficient versus
flow coefficient.
Fig 4 Wells turbine pressure coefficient versus
flow coefficient.
For the Impulse turbine, the characteristics
curves are plotted in Figures 5, 6 and 7.
Fig 5 - Impulse turbine power coefficient versus
flow coefficient.
Fig 6 - Impulse turbine pressure coefficient versus
flow coefficient.
Figure 7 shows the aerodynamic efficiency
curves for the two turbines depending onthe normalized flow coefficient.
Fig 7 Wells and Impulse turbines aerodynamic
efficiency versus normalized flow coefficient
4-System Mathematical Model
For a bottom-mounted OWC power plant,
the mass balance is given by:
= + , 4.1
0,000
0,0000
0,000
0,0010
0,001
0,000
0,00
0,000
0,00 0,0 0,0 0,0 0,0 0,10
P
F
0,00
0,0
0,10
0,1
0,0
0,
0,0
0,00 0,0 0,0 0,0 0,0 0,10
Y
F
0,01
0,0
0,10
0,1
0,0
0,
0,0
0,
0 0,0 0,1 0,1 0, 0, 0,
P
F
0,0
0,
1,0
1,,0
,
,0
,
0 0,0 0,1 0,1 0, 0, 0,
Y
F
0,
0,0
0,
0,
0,
0,
0,0 0, 1,0 1, ,0 , ,0 , ,0 , ,0
h
FFh
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where and are the density andvolume of air under no perturbation,
respectively.
Assuming that:
= ;
=
;
= ; , equation (4.1)can be written as:
= . 4.2
The radiated flow is given by [5]:
=
, 4.3 where = c isthe system memory function.
From equation (2.3) and equation (4.2)
results the following expression
representing the system dynamics, which
should be solved numerically [6]:
= + . 4.4
5-Results of Numerical Simulation
Simulations were conducted for each sea
state, and each rotor diameter in order to
optimize the turbine rotational speed. The
optimum rotational speed for each seastate, and each rotor diameter is calculated
by varying the turbines rotational speed in
increments of 5 rad/s, and calculating the
shaft power output. It is assumed that
rotational speed does not change by wave
cycle or wave groups effects, or if there is
rotational speed variation, this is small
enough so its influence can be ignored.
Physically, this means that the inertia of
rotating parts is large enough so that
prevents significant variations of rotationalspeed for a given sea state. The time span
for computational simulation of the plant
operation is 20 minutes for every sea state,
solving equation (4.4) with time
increments of = 0.1 seconds. It isaccepted that 20 minutes is a time window
long enough to have results statisticallysignificant. It was found that with time
increments of one tenth seconds solving
equation (4.4), the obtained results were
sufficiently accurate.
The rotor diameters considered for the
Wells turbine with and without by-pass air
valve were, 1.5, 2.0, 2.5, 3.0 m. For the
Impulse turbine were 1.2, 1.7, 2.2, 2.7 m.
Fig 8 Wells turbine average shaft power versus
optimum rotation speed without rotation speedlimits.
The data points resulting from numerical
simulations, line up nearly perfectly in
accordance with an equation of type .Because of sonic effects, the rotational
speed of the Wells turbine has to be
limited. It is assumed that tip velocity limit
is 160 m/s. Figure 8 shows the relationship
between average shaft power and optimum
turbine rotational speed.
0
50
100
150
200
250
0 100 200 300
Pu[kW]
N [rad/s]
D=1.5
D=2
D=2.5
D=3
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Fig 9 Wells turbine average shaft power versus
optimum rotation speed with rotation speed limits.
Figure 3 shows that for flow coefficients
around =0.045, the Wells turbine suffers
a sharp decrease in shaft power output, by
the effect of flow separation on the blades.This effect is even more important the
smaller the diameter of the turbine, ie
turbines with smaller diameters enter in
aerodynamic loss more often. This effect
can be avoided with the installation of
rapid relief valves in parallel with the
turbine, to control the maximum pressure
in the pneumatic chamber, and thereby
limit the flow rate through the turbine.
Therefore, new simulations were
performed considering the action of a fast
relief valve. It was considered that the
valve would have an ideal behavior. Figure
10 shows the relationship between average
shaft power and rotational speed under
these conditions. A significant increase in
turbine power output is observed, when the
plant is equipped with a fast relief valve.
It was found that the root mean square of
pressure in the pneumatic chamber is avariable that represents very well the plant
operation state.
Table 1 shows the results for the plant
annual average shaft power (plant
equipped with two equal turbo-electric
generator sets). It shows the turbines gross
power; shaft power, pneumatic power as
well as mechanical and aerodynamic
efficiencies, and capture widths of
Fig 10 Wells turbine average shaft power versus
optimum rotation speed with rotation speed limits
and fast relief valve.
Fig 11 Impulse turbine average shaft powerversus optimum rotation speed without rotation
speed limits.
hydro-pneumatic chamber for the four
scenarios, and various diameters of the
turbine rotor. It is found that the best
scenario is achieved by the plant equipped
with Wells turbines and fast relief valves.
However, it should be noted that the model
implemented considers an ideal relief
valve. Thereby it is expected that for a real
situation the power output should be lower.
The ideal model for the fast relief valves
do not take into account the expected
losses in valves or the power consumed for
valves control, as well as difficulties
associated to control the valves opening
and closing times. Therefore, smaller
differences are expected in real situations
for the power output of the plant equipped
with Wells turbine and fast relief valve,
compared to power output by plant
equipped with Impulse turbines. It is
expected that in real situation, the lastshould be the best scenario.
0
50
100
150
200
250
0 50 100 150 200 250
Pu[kW]
N [rad/s]
D=1.5
D=2
D=2,5
D=3
0
50
100
150
200
250
0 50 100 150 200 250
Pu[kW]
N [rad/s]
D=1.5
D=2
D=2,5
D=3
0
50
100
150
200
250
0 50 100 150
Pu[kW]
N [rad/s]
D=1,2
D=1,7
D=2,2
D=2,7
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()
()
.
()
haer hm haer.hm
()
haer.hm.CW
(m)
1. 1. . 10.1 0. 0. 0.1
.0 1. .1 1. 0. 0. 0.
. . . 11. 0. 0. 0.
.0 . . 1. 0. 0. 0.
1. . . 1.0 0. 0. 0. . .
.0 .1 0. 11.0 0.0 0. 0. 1. .
. . . 1. 0. 0. 0.1 1. .
.0 . . 1. 0. 0. 0. 1. .0
1. 0. 1. 11. 0.1 0. 0.0
.0 1. . 1.0 0.1 0. 0.0
. 10. 10. 1. 0.0 0, 0.
.0 10. 10. 1. 0. 0. 0.
1. 0. . 10. 0. 0. 0. . .
1. . . 10.1 0. 0. 0. 11. .1
. . 10. 1. 0. 0. 0. 1. .
. 10. 10. 1. 0. 0. 0. 1.1 .0
Table 1 Annual average shaft power; annual average turbines total power; pneumatic power; aerodynamic
efficiency; mechanic efficiency and annual average capture width for turbines different diameters.
(1 )
() ()
. .
()
.01 .
()
.1 .0
()
. 1.
Table 2Maximum annual average shaft power for
optimum turbine diameters.
Table 2 shows the turbines optimaldiameters as well as the maximum shaft
power for each of the four scenarios under
consideration. Note that if the plant is
equipped with Wells turbines and fast
relief valves, the maximum annual average
shaft power is 2x52.0 kW for Wells
turbines with 2.81 m rotor diameter. For
Impulse turbines, the maximum annual
average shaft power is 2x51.5 kW, with
rotor diameter of 2.59 m. It is therefore
expected to be lost over 1 kW if the model
for the rapid relief valves is more realistic.
In this sense, it seems evident that the best
solution would be achieved with impulse
turbines. It should be noted that the
analysis does not consider turbine
rotational speed control.
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6-Turbine Rotational SpeedControl
An effective way to improve turbine
efficiency for different sea states and wave
grouping is to allow variations of turbinerotational speed. Note that on the best
turbine efficiency point (b.e.p.), flow rate
and power output are proportional to and, respectively. The possibility to varythe turbine rotational speed permits the
ability to set up rotational speed to each
sea state, and thereby maximize the turbine
average power output. It also has the
beneficial effect to store energy in the form
of kinetic energy, which allows smooth
short time variations of electrical powersupplied to the grid. Turbine aerodynamic
efficiency, and the amount and quality of
electric power, will naturally be strongly
dependent on the strategy adopted to
control instantaneous rotational speed.
Rotational speed control is accomplished
by acting on instantaneous electric
generator torque imposed to turbine.
Oscillations of electrical power supplied to
the grid may be split into three time scales:
i) Fluctuations of short time duration,typically on the order of half wave period,
ie between 4 and 8 s, ii) Fluctuations of
average time duration, associated with
wave groups with time scales on the order
of few tens of seconds; Long time duration
oscillations, associated with variations of
sea states. It is expected that the kinetic
energy accumulated by flywheel effect can
filter the power oscillations of short
duration and help filter out the oscillations
of average duration.
In this study, a strategy is developed for
controlling turbines rotational speed. The
strategy took into consideration several
factors: i) Rotational speed limit imposed
to turbines by mechanical issues,
aerodynamics, or imposed by the rotational
speed range of electrical generator, ie
. ii) The rotation speed
will have to adjust to sea states in order tomaximize the turbine power output. iii)
Electric energy quality to be supplied to
the grid. iv) The power plant overall
efficiency, given that variation in rotational
speed change the pressure drop across the
turbine, which influences the first stage of
energy conversion chain, ie wave energy topneumatic energy. v) The power plant
monitoring procedure should be realistic,
and the control algorithm should take as
input, variables easily measurable and be
suitable for on-line implement at the power
plant Programmable Logic Control.
The strategy adopted in this study was to
control the torque of the electric generator,
based on turbines average power curves
functions of optimal rotation speed foreach sea state. The electric generator
torque must balance the turbine torque
over long periods of time, so that the
average speed of rotation is approximately
the optimum rotation speed for a given sea
state, ie:
1
= , , , . 6.1 Having knowledge of strategies previously
developed, and the problems arising [7],
after several attempts to define a more
appropriate control law, we concluded that
the following equation would have to be
fulfilled:
> 6.2 A piecewise function of the following kind
could respond adequately to the objectives
and requirements needed:
= >
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Where , , , are constants calculatedaccording to each sea state. is theturbine rotation speed which limits each
section of the control law. , is therated generator power,
is the inertia of
rotating parts, and = /, the timederivative of the instantaneous electricalpower accepted by grid. and areconstants funded by solving the following
system of two equations:
= = 1 6.4Being
, , the optimum value of turbine
rotational speed, and power output, foreach sea state, respectively. In the control
strategy developed, the values of , and for each sea state, are determined bycorrelations between them and the pressure
root mean square in the pneumatic
chamber. dN is a variable to be defined
according to the allowed rotational speed
oscillation range around the optimum value. It is found that turbines power output issensitive to the rotational speed oscillation
range. The inertia of rotating parts isextremely important with regard to the
quality of electrical energy produced, and
it can become critical for the more
energetic sea states.
For the numerical simulations performed
with the control law defined above, it was
decided that the diameters of the turbines
would be D=2.0 m for the Wells turbines,
and D=1.7 m for the Impulse turbine. For
the Wells turbine, and Wells turbine in
parallel with fast release valve (D=2.0 m),
it was assigned a value of dN=20 rad/s,
with a rotational parts inertia of 600 kg.m2.
For the Wells turbine it was needed a rated
generator power of 250 kW. For the Wells
turbine in parallel with fast release valve it
was needed a rated generator power of 300
kW.
For Impulse turbine (D=1.7 m) was
assigned a value of dN=13.2 rad/s, and ainertia of 1200 kg.m
2. It was needed a
rated generator power of 300 kW. It was
found to be extremely difficult to control
the rotational speed for this turbine for
smaller rotational parts inertia.
The control law developed in this work,has the ability to self-adjust appropriately
to each sea state, taking as input only the
pressure root mean square, which is a
variable easy to measure, and little
influenced by errors of pressure reading.
The following figures show the behavior of
the control law for dN=20 rad/s, and
dN=60 rad/s, and the turbine shaft power
curve,
. The
, and
, curves
intersection represents the optimumoperation point for the Wells turbine with a
diameter of 2 m, an inertia of, = 100kg.m2, = 84 kWs-1, and a ratedgenerator power of = 250 kW, fora sea state characterized by Hs=2.2m;
Te=15.3s. For this sea state, the optimal
operating point, has an average rotational
speed of N=143.6 rad/s, for which the
turbine can delivery a average shaft power
of = 50.0 kW. It can be observed in thefigures that the higher the value of dN, thesmoother the progress of curve, andtherefore higher rotational speed
oscillations. It was observed that in
general, this control strategy led to very
good results in terms of quantity and
quality of produced electricity, reasonably
fulfilling the Portuguese electric grid
regulation for almost all sea states
regarded.
Fig 12 Turbine shaft power versus optimum
rotation speed (blue line) and electric power control
law imposed by electric generator to the turbine(red line); dN=60 rad/s Wells turbine D=2 m.
120 140 160 180 200N @radsD
50
100
150
200
250
300
uPHNL,
ePHNL,
@
Wk
D
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Fig 13 Turbine shaft power versus optimum
rotation speed (blue line) and electric power control
law imposed by electric generator to the turbine
(red line); dN=20 rad/s Wells turbine D=2 m.
7-Power plant operation timeevolution
Figures 14, 15 and 16, show the turbineinstantaneous shaft power (blue lines) and
instantaneous electric power (red lines) for
the Wells turbine, Wells turbine in parallel
with fast relief valve and for the impulse
turbine, for a sea state characterized by
significant height Hs=2.9m and energy
period Te=11.2s. It can be observed (Fig.
14) for this energetic sea state, that the
Wells turbine spend significant operation
time on aerodynamic stall conditions,
which leads to a significant powerreduction. For this sea state, the installation
of a fast relief valve can avoid the turbine
aerodynamic stall which improves the
turbine aerodynamic performance and
power output (Fig. 15). The impulse
turbine has the advantage of not suffering
the effects associated to aerodynamic stall
(Fig. 16).
Fig 14 Instantaneous turbine shaft power (blueline) and instantaneous electric power versus time
(red line) for Wells turbine (Hs=2.9 m; Te=11.2s,D=2m, no relief valve).
Fig 15 Instantaneous turbine shaft power (blueline) and instantaneous electric power versus time
(red line) for Wells turbine (Hs=2.9 m; Te=11.2s,
D=2m, with relief valve).
Fig 16 Instantaneous turbine shaft power (blueline) and instantaneous electric power versus time
(red line) for Impulse turbine (Hs=2.9 m; Te=11.2s,
D=1.7m).
8-Conclusions
The integration in the power plant of fast
relief valves prevents the rapid power loss
of Wells turbine, avoiding the major
drawback of this type of turbine. It was
observed that the integration of fast relief
valves in parallel with the Wells turbine
has a very beneficial effect in terms of
electricity produced, which will enable to
reduce the optimum turbine diameter, andconsequent construction costs. It is
possible to significantly increase the
energy produced by the power plant if
equipped with impulse turbines, compared
to the energy production if the power plant
is equipped with Wells turbine without
relief valves. For the case of Wells turbine
operating in parallel with fast relief valves,
the energy produced by the Impulse
turbine is only slightly lower. However the
model used in numerical simulations for
the fast relief valve, assumes, that it
120 140 160 180 200
N @radsD
50
100
150
200
250
300
uPHNL,
ePHNL,
@
Wk
D
200 400 600 800 1000
10x t @sD
0
100
200
300
400
500
600
top
.lit;
top
.lec@
Wk
D
200 400 600 800 1000
10 x t @sD
0100
200
300
400
500
600
top.
lit;
top
.lec@
Wk
D
200 400 600 800 1000
10 x t @sD
0
100
200
300400
500
600
top.
lit;
top
.lec@
Wk
D
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behaves optimally. Furthermore the energy
required to control and operates the relief
valves is ignored. Therefore, it is expected
that a more realistic model for the
operation of fast relief valves will lead to a
reduction of produced energy compared towhat can be achieved by the Impulse
turbine. Taking into account the quality of
energy produced, some difficulties were
found on the effective rotation speed
control of the Impulse turbine. For some
sea states, it was not possible to produce
electricity with the quality required by the
grid.
9-References
[1] L.M.C. Gato, Internal
comunication, IST, 2008
[2] P.A.P. Justino, Internalcommunication, INETI, 2008.
[3] A.F. de O. Falco, Frequency
domain, time domain and stochastic
modeling of wave energy
converters, Coordination Action inOcean Energy Report, IST, 2005.
[4] A.F. de O. Falco, R.J.A.
Rodrigues, Stochastic modeling of
OWC wave power plant
performance, Applied Ocean
Reserch 24, 59-71, 2002
[5] A. F de O. Falco, P. A. P. Justino.
OWC wave energy devices with
air flow control OceanEngineering 26, 1275-1295, 1999
[6] P.A.P. Justino; A.F. de O. Falco,
Rotacional speed control of an
OWC wave power plant, Journal of
Offshore Mechanics and Arctic
Engineering 121, 65-70, 1999
[7] A.F de O. Falco, Control of an
oscillating-water-column power
plant for maximum energy
production, Aplied Ocean Reserch
24, 73-82, 2002