Accepted Manuscript Experimental and numerical investigation on wave height and power take–off damping effects on the hydrodynamic performance of an offshore–stationary OWC wave energy converter
Ahmed Elhanafi, Chan Joo Kim PII:
S0960-1481(18)30283-0
DOI:
10.1016/j.renene.2018.02.131
Reference:
RENE 9862
To appear in:
Renewable Energy
Received Date:
23 September 2016
Revised Date:
24 December 2017
Accepted Date:
28 February 2018
Please cite this article as: Ahmed Elhanafi, Chan Joo Kim, Experimental and numerical investigation on wave height and power take–off damping effects on the hydrodynamic performance of an offshore–stationary OWC wave energy converter, Renewable Energy (2018), doi: 10.1016/j.renene.2018.02.131
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ACCEPTED MANUSCRIPT
3
Experimental and numerical investigation on wave height and power take– off damping effects on the hydrodynamic performance of an offshore– stationary OWC wave energy converter
4
Ahmed Elhanafia,b, Chan Joo Kima
1 2
5 6
a) National Centre for Maritime Engineering and Hydrodynamics, Australian Maritime College, University of Tasmania, Launceston, Tasmania 7250, Australia
7 8
b) Department of Naval Architecture and Marine Engineering, Alexandria University, Alexandria, Egypt
9
Abstract
10
Wave energy is a viable source of ocean renewable energy and research is being
11
conducted worldwide. The Oscillating Water Column (OWC) device is recognised
12
internationally as one of the most promising types of ocean Wave Energy Converters (WECs).
13
To effectively utilize ocean waves for harvesting more energy, offshore OWC devices need to
14
be deployed in deep–water where waves are more energetic. Therefore, the present paper
15
experimentally investigated the hydrodynamic performance of a 3D offshore–stationary OWC
16
device subjected to a wide range of regular wave conditions of different periods and heights and
17
nonlinear power take–off (PTO) damping conditions simulated by an orifice. The experimental
18
results were also employed to validate a 3D incompressible Computational Fluid Dynamics
19
(CFD) model based on the RANS–VOF approach. It was found that the device capture width
20
ratio decreased as wave height increased, especially for wave frequencies higher than device
21
resonance frequency. However, for low–frequency waves under small PTO damping, there was
22
a noticeable improvement in the device capture width ratio. More importantly, results of this
23
study revealed that even with the changes in the device capture width ratio as wave height
24
doubled, the OWC device could extract more wave energy throughout the whole frequency range
25
tested by a maximum of about 7.7 times, particularly for long waves under small PTO damping.
26
Furthermore, the numerical results from the 3D CFD model were in good agreement with the
27
experiments, while the 2D model provided misleading (overestimating) results for high–
28
frequency waves. Keywords: Wave energy; offshore oscillating water column device; OWC; 3D experiments
29 30
and CFD; PTO damping effect; wave height effect. *
Corresponding author. Tel.: +61470352926 E-mail addresses:
[email protected] (A. Elhanafi) 1
ACCEPTED MANUSCRIPT 1. Introduction
31 32
To cope with the increasing costs of fossil fuels as well as the environmental impacts due
33
to the excessive use of these fuels, eco–friendly power from renewable energy sources has been
34
under the spotlight and is believed to have an important role in resolving these effects. Ocean
35
wave energy is considered to be one of the most promising renewable energy sources as it can
36
provide noteworthy advantages when compared to other sources such as solar, wind and tidal.
37
Wave energy offers the highest energy density and relatively small potential energy losses when
38
travelling over long distance [1]. A key feature is that Wave Energy Converter (WEC) devices
39
are able to produce power up to ninety percent of the time, whereas other types of renewable
40
energy conversion devices such as solar energy converters and wind turbines can only generate
41
power about twenty to thirty percent of the time [1]. The World Energy Council Report on World
42
Energy Sources [2] estimated the total theoretical wave energy potential of 32,000 TWh/year.
43
This value decreased to 16,000–18,500 TWh/year when the direction of the wave energy and the
44
world coastline alignment were taken into account [3]; however, this is still comparable to the
45
global electricity consumption (energy demand) of about 20,500 TWh in year 2015 [4]. Utilizing
46
these advantages, several techniques have been proposed and developed to extract wave energy.
47
These technologies can be categorised by deployment location (shoreline, nearshore and
48
offshore), type (attenuator, point absorber and terminator) and mode of operation (submerged
49
pressure differential, oscillating wave surge converter, oscillating water column and overtopping
50
device) [1]. The wave energy electricity production by the current technologies and designs of
51
devices when fully mature has been estimated to be 140–750 TWh/year; however, this figure
52
could be increased to 2,000 TWh/year if all potential improvements to these devices are realised
53
[5].
54
The Oscillating Water Column (OWC) device is a WEC that is based on wave–to–
55
pneumatic energy conversion by utilizing ocean waves to drive the motion of a water column
56
inside a pneumatic chamber that has an underwater opening to the ocean. The water column
57
fluctuation (oscillation) compels the air inside being compressed and decompressed which
58
creates a bidirectional airflow. The pneumatic energy is then converted into mechanical energy
59
via forcing the air to flow through a turbine or a power take–off (PTO) system that is connected
60
to a generator to transform the mechanical energy into electricity. Each phase of the energy
61
conversion chain has its own importance in terms of overall performance. The focus of the
62
present study is to investigate the wave–to–pneumatic energy conversion stage. OWC devices
2
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can be installed at different locations (shoreline, nearshore, and offshore) as either fixed or
64
floating structures [6].
65
Investigating the hydrodynamic performance of OWC devices has been extensively
66
performed by different means including analytical, experimental, numerical or in a combination
67
of the aforementioned. Most if not all analytical studies such as McCormick [7], Falcão and
68
Sarmento [8], Evans [9] and Falnes and McIver [10] are based on linear wave theory to model
69
simple OWC device geometries like a thin–walled vertical tube and two parallel vertical thin
70
walls. For complex geometries, the wave–OWC device interactions require numerical modelling
71
that is usually solved using the Boundary Element Method (BEM) [11]. However, these methods
72
are still based on the potential flow assumptions and cannot handle problems that require
73
capturing detailed physics such as strong nonlinearity, complex viscous effects, turbulence and
74
vortex shedding. For extensive reviews of utilizing analytical and potential flow models to study
75
OWC devices, the reader is referred to Refs. [11, 12]. On the other hand, Numerical Wave Tanks
76
(NWTs) based on the Reynolds–averaged Navier–Stokes (RANS) equations do not have the
77
above–mentioned shortcomings. Accordingly, these advantages together with the increasing
78
availability of computational power have made Computational Fluid Dynamics (CFD) more
79
attractive and viable for researchers to study the hydrodynamic performance of OWC devices
80
[13-17]. However, CFD modelling of OWC devices has generally been restricted to 2D
81
geometries and regular waves, and it still requires validation against physical model testing [11].
82
Over the past few decades, many physical scale model experiments have been performed
83
to investigate the effects of different design parameters on the hydrodynamic performance of
84
onshore OWC devices [18-22]. In comparison to the typical onshore and nearshore types of
85
OWC devices, offshore OWC devices allow ocean waves to pass around and underneath the
86
device, which in turn changes the hydrodynamic interactions and the energy balance of such
87
devices [23]. However, there is a very limited number of experiments and/or numerical studies
88
on offshore OWC devices. For example, Iturrioz et al. [24, 25] and Simonetti et al. [26, 27]
89
developed open source CFD codes (IHFOAM) and (OpenFOAM) to model and investigate the
90
hydrodynamic performance of a fixed detached OWC model and a three chamber OWC device,
91
respectively after utilizing wave flume measurements to validate their numerical models.
92
Elhanafi, et al. [23] employed a 2D CFD model using a commercial code (STAR–CCM+) to
93
study the relevance of incident wave amplitude, wave frequency and turbine damping to the
94
energy balance of an offshore stationary OWC device. Recently, He, et al. [28] experimentally
95
investigated the importance of energy extraction and vortex–induced energy loss with respect to 3
ACCEPTED MANUSCRIPT 96
energy dissipation for a pile–supported OWC model embedded breakwater. They discovered that
97
the energy extraction and vortex–induced energy loss are closely related, and the pneumatic
98
damping has a greater influence on the vortex–induced energy loss than the energy extraction.
99
Although He, et al. [28] achieved significant findings in their experimental investigation, it is
100
worth noticing that the experiments were conducted in a 2D wave flume, which constrains wave
101
diffraction and transmission around the device. In addition, the OWC model was subjected to a
102
single small wave height representing weakly nonlinear waves of steepness 0.0123–0.0287, and
103
only intermediate water depth conditions were tested based on the water depth and wave periods
104
provided.
105
To complement previous studies, the main objective of this study is to experimentally
106
investigate the hydrodynamic performance of a 3D offshore OWC device under the action of
107
regular waves of different periods and heights including strong nonlinear waves in deep– and
108
intermediate–water depth conditions. In addition, the effect of changing the PTO damping on
109
device performance is studied. Finally, the capability of a 3D incompressible CFD model based
110
RANS–VOF approach in predicting the device performance is discussed. Both experiments and
111
CFD simulations were performed at a small scale model, and full–scale system dynamics inside
112
the OWC chamber due to air compressibility effects [29] were not modeled in the present study.
113
2. Experimental set–up
114
2.1.
Testing facility
115
The experimental campaigns were performed in the towing tank of the Australian
116
Maritime College (AMC), University of Tasmania, Australia. The tank characteristics are 100 m
117
long, 3.5 m width and a maximum water depth of 1.5 m. Waves are generated by means of a
118
flap–type wavemaker installed at one end, whereas a wave–absorption beach is located at the
119
other end.
120
2.2.
Offshore OWC model
121
The 1:50 scale model offshore OWC device used in these experiments was manufactured
122
of plywood with dimensions illustrated in Fig. 1–a, and it was positioned 15 m from the
123
wavemaker (see Fig. 2). The model was scaled based on Froude’s similitude law such that the
124
water depth (1.5 m) of the towing tank represented 75 m at full–scale. The OWC model had an
125
overall draught of 350 mm and a rectangular chamber (300 mm x 200 mm) with symmetric front
126
and rear lips of 12 mm thickness and 200 mm submergence. Considering that the ratio of the
127
tank width (W) to the model breadth (B) was 8.75 (i.e., W/B > 5), the tank sidewall effects could 4
ACCEPTED MANUSCRIPT 128
be ignored [30]. The columns and pontoons attached to the chamber provide the required
129
buoyancy to permit future experiments over a wider range of wave conditions on the same model,
130
but as a floating OWC device which is tension moored using a similar concept to that proposed
131
in Lye, et al. [31].
132
The chamber top plate of 12 mm thick included a central opening to utilize testing
133
different PTO damping conditions. To simulate the pneumatic damping induced by the PTO
134
system during experiments of small scale models, it is common to use either an orifice (or a slot)
135
to simulate an impulse turbine (nonlinear/quadratic pressure–flow rate characteristics) or a
136
porous medium to mimic a Wells turbine (linear characteristics) [18, 29]. In the present study,
137
an orifice of different diameters shown in Fig. 1–b was manufactured via a 3D printer and used
138
to model nonlinear PTO damping. Each orifice was defined by its radius and opening ratio (the
139
ratio between the orifice area and the chamber waterplane area (a x b) in percentage, %).
140
Considering the 12 mm thickness of the chamber top plate and the orifice diameter, orifices R2–
141
R5 were classified as thin–walled openings (i.e., the ratio between orifice thickness (12 mm) and
142
orifice diameter is less than 0.5), while orifice R1 was classified as a thick–walled opening [32].
143 144 145
Fig. 1. 1:50 scale model of an offshore–stationary OWC device. (a): main dimensions and (b): orifice diameters
5
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146 147 148 149
Fig. 2. Photographs showing the AMC towing tank with the OWC model, looking towards the beach (left) and test rig in–situ (centre: front view and right: back–side view) 2.3.
Instrumentation and test conditions
150
In the experiments (see Fig.3 for experiment layout), three resistance–type wave gauges
151
were used to measure the instantaneous free surface elevation in the tank and inside the OWC
152
chamber. One wave gauge (G1) was positioned 6 m from the wavemaker to measure the free
153
surface elevation of the incident wave. For rectangular shaped OWC devices like the model
154
considered in this study, measurements of free surface motion inside the OWC chamber are
155
usually carried out using one [33], two [28] or three [21] wave gauges. Herein, two wave gauges
156
(G2 and G3) were situated inside the OWC chamber to spatially average the free surface
157
elevation (ƞOWC). To measure the differential air pressure between the OWC pneumatic chamber
158
and exterior atmosphere, two pressure sensors (Honeywell–TruStability–001PD TSC Series)
159
marked as P1 and P2 were installed on the top surface of the OWC chamber to average the
160
measured pressure (∆𝑝(𝑡)). All measurements were sampled at 200Hz. During data processing,
161
a low pass digital filter (Butterworth–filter [34]) with a 5 Hz cut–off frequency and 10th order
162
was applied using the Matlab function filtfilt (non–causal, zero–phase filter) [35].
6
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163
Fig. 3. Experiment layout (not to scale)
164 165
The physical measurements were designed to study the effect of incoming wave period,
166
wave height and PTO damping on the hydrodynamic performance of the offshore OWC model
167
described in Section 2.2. The experiments systematically investigated the following variables:
168
two regular wave heights H = 50 and 100 mm, ten wave periods T = 0.9, 1.0, 1.1, 1.2, 1.3, 1.4,
169
1.5, 1.6, 1.8, 2.0 s and six orifice diameters: R0 – R5 (see Fig. 1–b). Within the range of wave
170
conditions tested, wave steepness varied between 0.009 – 0.080 and both intermediate (T = 1.4–
171
2.0 s) and deep–water (T = 0.9–1.3 s) conditions were covered.
172
2.4.
Data analysis and OWC device performance
173
The capture width ratio (ζ) [33, 36] or the dimensionless capture width [37] that best
174
represents the hydrodynamic performance of a WEC is defined as in Eq. (1) for the OWC device
175
considered in this study. 7
ACCEPTED MANUSCRIPT 176
ζ = 𝑃𝐸/(𝑃𝐼𝑎)
177
where 𝑃𝐼 is the mean incident wave power (energy flux) per unit width, which is defined as the
178
product of the wave energy (𝐸𝐼) (potential and kinetic) per unit ocean surface area and the
179
group velocity (𝐶𝑔) [38] as given in Eqs. (2) and (3), while 𝑃𝐸 is the time–averaged extracted
180
pneumatic power determined as in Eq. (4) [23, 39, 40] and a is chamber width (Fig. 1–a).
181
1 2 𝑃𝐼 = 𝜌𝑔𝐴 𝐶𝑔 2
182
𝜔 2𝑘ℎ 𝐿 𝐿 1+ for intermediate ‒ water conditions <ℎ< 2𝑘 sinh(2𝑘ℎ) 20 2 𝐶𝑔 = 1 𝐿 𝐿 for deep ‒ water conditions ℎ > 2𝑇 2
183
where 𝐴 is incident wave amplitude (defined as half the measured wave height, H), 𝜔 is wave
184
angular frequency, 𝑘 is wave number given by the dispersion relationship
185
incoming wavelength, T is wave period, h is still water depth, 𝜌 is water density and 𝑔 is
186
gravitational acceleration.
187
𝑃𝐸 =
{
(
(1)
(2)
)
(
)
( )
(3)
2
1 𝑇
𝜔 𝑔
= 𝑘tanh(𝑘ℎ), L is
𝑇
∫ ∆𝑝(𝑡)𝑞(𝑡) 𝑑𝑡
(4)
0
188
where 𝑞(𝑡) is airflow rate through the orifice, which can be measured by two commonly accepted
189
approaches: (1) using a pre–calibrated orifice together with the pressure measurement [41] and
190
(2) by measuring the free surface elevation inside the OWC chamber [21, 28, 33, 40, 41] with
191
incompressible flow assumption. The second approach was utilized in the present experiments
192
as follows. Using the averaged chamber free surface oscillations (ƞOWC), the free surface vertical
193
velocity (V) was calculated by differentiating the measured time–series data (i.e., V(t) =
194
dƞOWC/dt). Having defined the chamber free surface vertical velocity and assumed
195
incompressible air for the small model–scale used in these experiments [42], airflow rate (𝑞(𝑡))
196
was calculated by Eq. (5). It is worth highlighting that air compressibility effects must be
197
considered when scaling–up the results presented in this paper to assess device performance at
198
full–scale.
199
𝑞(𝑡) = 𝑉(𝑡) 𝑏𝑎
(5) 8
ACCEPTED MANUSCRIPT 200 201
where b and a are the chamber length and width, respectively (see Fig. 1–a). 3. Results and discussion
202
The hydrodynamic performance of the OWC device described in Section 2 was initially
203
assessed when subjected to ten different wave periods and two wave heights H = 50 mm and 100
204
mm under three PTO damping conditions (R2, R4 and R5). Fig. 4 illustrates the relevance of these
205
variables to the amplification factor (ƞmax/A, defined as the ratio between the maximum free
206
surface oscillation inside the chamber ƞmax and the incoming wave amplitude A), the pressure
207
coefficient (CP) given by Eq. (6) and the capture width ratio (ζ). In this study, a dimensionless
208
parameter 𝐾𝑏 where 𝐾 = 𝜔 /𝑔 was used to refer to the changes in wave period/frequency [23].
209 210 211
2
𝐶𝑃 =
∆𝑝max
(6)
𝜌𝑔𝐴
where ∆𝑝max is the differential air pressure amplitude defined as in Eq. (7) ∆𝑝max =
[
∆𝑝max (crest value,
+ ve) ‒ ∆𝑝min (trough value, ‒ ve)
2
]
(7) avg ‒ 5 cycles
212
Overall, both wave heights provided almost the same general trends for all assessed
213
parameters as illustrated in Fig. 4. As wave frequency increased (Kb increased), the amplification
214
factor (Fig. 4–a) gradually increased until peaked at a certain Kb value that increased as PTO
215
damping decreased. Following this peak, a steep drop in ƞmax/A was observed as Kb further
216
increased. This was in agreement with what has recently been reported experimentally for land–
217
based OWC devices [21] and numerically with 2D CFD for offshore OWC devices [23]. Similar
218
results were also found for the larger wave height, H = 100 mm (Fig. 4–d), except the peak value
219
that was shifted to a lower frequency. This was more pronounced under PTO damping cases of
220
R2 and R4 where maximum ƞmax/A was achieved under the longest wave tested of Kb = 0.30.
221
Although the incident wave height increased twofold (i.e., H = 100 mm), the resulted
222
amplification factors were smaller than those for H = 50 mm over the entire frequency range,
223
which revealed a nonlinear relationship between chamber maximum free surface oscillation and
224
incoming wave height. This could be attributed to the increase in chamber free surface
225
deformation and water sloshing as wave height increased [23].
226
9
ACCEPTED MANUSCRIPT
227 228 229 230
Fig. 4. Impact of wave height and frequency on the amplification factor (ƞmax/A), pressure coefficient (CP) and device capture width ratio (ζ) under three damping conditions. (a), (b) and (c) for H = 50 mm and (d), (e) and (f) for H = 100 mm
231
The pressure coefficient (CP) (Figs. 4–b and 4–e) increased as Kb increased, reached a
232
maximum value at a certain frequency (Kb) representing (or close to) the chamber resonance
233
frequency, and then declined with a further increase in Kb (i.e., wavelength shortened). The
234
device resonance frequency was shifted to a lower value as PTO damping increased. This effect
235
could obviously be seen in the case of the closed orifice (full–damping, R0) where a maximum
236
pressure coefficient of CP = 0.68 for both H = 50 mm and H = 100 mm was found under the
237
longest wave tested (Kb = 0.30). This was also observed by Iturrioz, et al. [25] and He and Huang
238
[32] for similar offshore OWC devices that have been tested in 2D wave flumes under a constant
239
wave height.
240
Although Iturrioz, et al. [25] did not present results for the amplification factor, it was
241
stated that the maximum pressure happens close to the resonance period of the chamber, and at
242
that period the chamber maximum free surface oscillation also occurs. Conversely, Simonetti, et
243
al. [26], Ning, et al. [21] and Elhanafi, et al. [23] found that the maximum pressure amplitude
244
occurs at a frequency higher than that of the chamber maximum free surface oscillation for a
245
given wave height, which is in line with the results presented in Figs. 4–a and 4–b of this study.
246
However, Figs. 4–d and 4–e show that under the lowest damping tested (orifice R5) the maximum
247
pressure coefficient and amplification factor occurred nearly at the same frequency (Kb = 0.62),
248
which supports the findings of Iturrioz, et al. [25]. This contradiction can be explained by
249
considering the fact that the chamber differential air pressure is related to the chamber free
250
surface oscillation rate (slope) not to the oscillation amplitude solely [23]. For illustration, Fig.
10
ACCEPTED MANUSCRIPT 251
5 shows the instantaneous variations (time–series results) of chamber free surface oscillation
252
(ƞOWC), chamber differential air pressure (∆𝑝), airflow rate (𝑞) and extracted pneumatic power (
253
𝑃𝐸) for a given PTO damping induced by orifice R4 under two wave heights H = 50 mm (Fig.
254
5–left) and H = 100 mm (Fig. 5–right) at different Kb values. Although low–frequency waves of
255
Kb = 0.47 at H = 50 mm (Fig. 5–a) and Kb = 0.37 at H = 100 mm (Fig. 5–d) provided higher
256
chamber free surface oscillation amplitudes (i.e., higher amplification factors considering a
257
constant wave height of H = 50 or 100 mm), larger pressure amplitudes were found at a higher
258
frequency of Kb = 0.84 for H = 50 mm (Fig. 5–b) and Kb = 0.62 for H = 100 mm (Fig. 5–e).
259
This is because at these frequencies (i.e., Kb = 0.84 and 0.62), the smaller chamber free surface
260
oscillation amplitudes were accompanied by shorter wave periods, which in turn resulted in a
261
higher free surface oscillation rate inside the chamber (i.e., a higher slope with respect to time–
262
axis) that are demonstrated by the higher airflow rate and pressure amplitudes shown in Figs.
263
5–b and 5–e. Except the closed orifice (R0), increasing the wave height (Fig. 4–e) resulted in: (1)
264
higher pressure coefficients throughout the whole Kb range tested, which further explains the
265
associated reduction in the amplification factors and (2) a slight reduction in device resonance
266
frequency that could be due to the coarse resolution of the Kb range tested (i.e., large wave period
267
interval of 0.1 s, see Section 2.3).
268 269 270 271
Fig. 5. Effects of wave frequency and wave height on the instantaneous chamber free surface oscillation (ƞOWC), chamber differential air pressure (∆𝑝), airflow rate (𝑞) and extracted pneumatic power (𝑃𝐸) at a constant PTO damping (R4)
272
The capture width ratio of the OWC model is illustrated in Figs. 4–c and 4–f for H = 50
273
mm and 100 mm, respectively. To explain the changes in device capture width ratio, it is 11
ACCEPTED MANUSCRIPT 274
important to note that both the differential air pressure and the airflow rate are the governing
275
parameters for the extracted pneumatic power as given in Eq. (4). Although the results of the
276
airflow rate through the orifice are not presented in Fig. 4, it is expected the airflow rate to follow
277
the same trend of the chamber differential air pressure at a given PTO damping [23]. This is
278
because both parameters are related by a damping coefficient (𝐶) as given in Eq. (8) for nonlinear
279
PTO system [14] that was simulated by an orifice in the present study. 1 2
∆𝑝 𝑞
280
𝐶=
281
This correlation can also be seen in the results presented in Fig. 5. As a result, the
282
extracted pneumatic power is also expected to have the same trend of the chamber differential
283
air pressure (see Fig. 5) such that the maximum extracted pneumatic power was achieved at the
284
same frequency of the maximum pressure. On the other side, as Kb increased the group velocity
285
of the incoming wave decreased as given by Eq. (3), which in turn reduced the available
286
incoming wave power as given by Eq. (2). Therefore, the device capture width ratio gradually
287
increased according to Eq. (1) as Kb increased until peaked at a certain frequency of resonance
288
(for example, at Kb = 0.71 and 0.62 for H = 50 mm and 100 mm respectively under a PTO
289
damping of orifice R4). Following that peak, the pneumatic power decreased due to the drop in
290
the pressure and the airflow rate (see Figs. 5–c and 5–f); hence, the capture width ratio (ζ)
291
decreased with a further increased in Kb (see Figs. 4–c and 4–f). For instance, considering the
292
condition of H = 50 mm and orifice R4 (Fig. 4–c), the capture width ratio (ζ) improved from 0.04
293
at Kb = 0.30 to a maximum of about 0.25 at Kb = 0.71, then dropped to 0.09 at Kb = 1.0 and
294
diminished at the highest frequency tested of Kb = 1.5. The reason for the low capture width
295
ratio at the high–frequency zone could be that, the frequency response of the system is far from
296
the resonance condition, which is demonstrated by the small amplitudes of the chamber free
297
surface oscillation, airflow rate and differential air pressure shown in Fig. 5–c for Kb = 1.21 and
298
H = 50 mm.
(8)
299
Although the maximum capture width ratio reported in this paper (ζmax = 0.26 for a PTO
300
damping induced by orifices R2 and R3) is quite smaller than what was experimentally found for
301
typical onshore OWC devices [21, 33], it is worth noting that for a two–dimensional chamber
302
with a vertical plane of symmetry (i.e., identical front and rear lips draught), Sarmento [18]
303
predicted using linear theory [9] a maximum value of 0.5 for the ratio between the energy
304
absorbed by the OWC structure/chamber (i.e., the rest of the incident wave energy that was not 12
ACCEPTED MANUSCRIPT 305
reflected and/or transmitted on the lee side of the chamber, which represents the maximum
306
available energy to be extracted for electricity generation [23]) and the incident wave energy.
307
However, a maximum capture width ratio of 0.5 was not achievable due to energy losses in terms
308
of viscous, turbulence and vortex losses at chamber lips and PTO system [18, 23, 28]. Using 2D
309
wave flume experiments, He, et al. [28] reported a maximum capture width ratio of 0.25–0.37
310
(for different symmetrical lip draughts and PTO damping conditions, see Fig. 4 in He, et al. [28]),
311
which is slightly higher than the maximum capture width ratio presented in this paper. This
312
difference could be related to the 2D behaviour of He et al.’s experiments that will be briefly
313
discussed in Section 4.3 as well as to the different lip draughts tested. The relevance of chamber
314
underwater geometry to the capture width ratio of offshore OWC devices has been found by
315
Elhanafi, et al. [43] to be significant. They tested several symmetrical and asymmetrical lips
316
draught and thickness of a 2D OWC chamber with length (b) similar to that of the OWC model
317
tested in this study (i.e., b = 300 mm, see Fig. 1–a), and reported a significant improvement in
318
the capture width ratio up to 0.79, which is close to that of typical onshore OWC devices. This
319
emphasises the importance of investigating the capability of CFD modelling (Section 4) in
320
replicating the 3D physical measurements provided in this study so that it can be used for
321
optimizing the underwater geometry of offshore OWC devices for a maximum capture width
322
ratio.
323
Generally, Figs. 4–c and 4–f show that as wave height increased the maximum capture
324
width ratio decreased. For instance, the maximum capture width ratio decreased from 0.26 for
325
H = 50 mm at Kb = 0.62 and orifice R2 to 0.23 for H = 100 mm at the same frequency (Kb =
326
0.62) and PTO damping. These results are in agreement with the CFD results of Luo, et al. [15]
327
and Kamath, et al. [44] who found that the capture width ratio of onshore OWC devices
328
decreased as wave height increased. Ning, et al. [21] concluded a negligible effect of wave height
329
on device resonance under a PTO damping induced by an orifice with 0.66 % opening ratio. In
330
the present study, similar results were observed only for the conditions with high PTO damping
331
such as R1 (0.5 %, not presented in Fig. 4) and R2 (1.0 %), but for all other damping conditions
332
(i.e., R > R2), there was a slight reduction in the resonance frequency as wave height increased,
333
which again could be attributed to the large wave period interval (0.1 s) used in this study. The
334
effect of increasing the wave height on the device capture width ratio was influenced by the wave
335
frequency and the PTO damping such that under high steepness waves (strongly nonlinear waves
336
of high Kb) increasing the wave height decreased the capture width ratio, while at low–frequency
337
waves (weakly nonlinear waves of low Kb), there was a noticeable improvement in device
338
capture width ratio as wave height increased, especially for low and intermediate PTO damping 13
ACCEPTED MANUSCRIPT 339
conditions. Similar observations were previously reported for 2D onshore and offshore OWC
340
devices using numerical simulations [23, 45] and physical experiments [20, 21].
341
Previous experimental research on onshore OWC devices [20, 21] classified the
342
pneumatic damping exerted by the turbine as the factor that most affects the device capture width
343
ratio. Accordingly, the influence of the six orifices tested (see Fig. 1–b) on the amplification
344
factor, the pressure coefficient and the capture width ratio is demonstrated by contour plots in
345
Fig. 6 for all wave heights and Kb values tested in these experiments.
346 347 348
Fig. 6. PTO damping effects on the amplification factor (ƞmax/A), pressure coefficient (CP) and device capture width ratio (ζ) for different wave conditions
349
Figs. 6–a and 6–d illustrate that the amplification factor for both wave heights increased
350
as the opening ratio increased (i.e., PTO damping decreased). This in turn increased the free
351
surface oscillation rate for each wave period (Kb), and hence the airflow rate also increased,
352
especially for Kb < 1.0 under intermediate and large opening ratios (for example, see time–series
353
results for Kb = 0.71, H = 50 mm in Fig. 7–left and Kb = 0.62, H = 100 mm in Fig. 7–right).
354
Opposite trends were found for the chamber differential air pressure (Figs. 6–b, 6–e and Fig. 7).
355
These contrary effects of the PTO damping on the variables (∆𝑝 and 𝑞) that control the extracted
356
pneumatic power highlight the importance of selecting an optimum PTO damping to tune the
357
device to a given frequency (Kb) range for maximizing the extracted power (see Fig. 7) and the
358
device capture width ratio (see Figs. 6–c and 6–f). For each wave condition (period and height),
359
there was an optimum opening ratio (damping) that provided a maximum capture width ratio.
360
Reducing the PTO damping (increasing the opening ratio) shifted the maximum capture width
361
ratio to a higher frequency (Kb), but this effect was less pronounced for the larger wave height
14
ACCEPTED MANUSCRIPT 362
of H = 100 mm. Under the smaller wave height H = 50 mm, the device could efficiently extract
363
wave energy over a broader frequency bandwidth (0.54 < Kb < 0.84) and opening ratios. For
364
instance, Fig. 7–left shows that the device extracted almost the same power for a wave condition
365
of H = 50 mm and Kb = 0.71 when applying different PTO damping conditions corresponding
366
to opening ratios of 2 % (Fig. 7–b) and 3 % (Fig. 7–a). On the other hand, increasing the wave
367
height reduced these frequency and opening ratio ranges, but under small PTO damping
368
conditions (opening ratio > 1.0 %), the large wave height improved the device capture width
369
ratio at the low–frequency zone (Kb < 0.62).
370
373
Fig. 7. Impact of PTO damping on the instantaneous chamber free surface oscillation (ƞOWC), chamber differential air pressure (∆𝑝), airflow rate (𝑞) and extracted pneumatic power (𝑃𝐸) at a two wave conditions. Left: H = 50 mm, Kb = 0.71 and right: H = 100 mm, Kb = 0.62
374
Elhanafi, et al. [23] concluded that increasing the wave height not only increases the
375
energy losses, but also the extracted pneumatic energy. Herein, regardless of the variations in
376
the device capture width ratio due to changing the wave height, it was found that the extracted
377
pneumatic energy given by Eq. (9) increased by 2.5–7.7 times as wave height doubled from H =
378
50 mm to 100 mm (i.e., the incident wave energy increased four times), which is demonstrated
379
by the contour plot in Fig. 8. This effect was found to increase as wavelength increased (i.e., Kb
380
decreased) and PTO damping decreased. This larger extracted energy highlights the
381
effectiveness of deploying such offshore OWC devices in deep–water locations where waves are
382
more energetic.
383
𝐸𝐸 = 𝑃𝐸 𝑇
371 372
(9) 15
ACCEPTED MANUSCRIPT
384 385 386 387
Fig. 8. Effect of increasing the wave height from H = 50 mm (H50) to H = 100 mm (H100) on the extracted pneumatic energy 4. CFD modelling and validation
388
As mentioned in the introduction (Section 1), CFD modelling became a viable tool that
389
has previously been employed to investigate the hydrodynamic performance of 2D OWC
390
devices. However, apart from being computationally expensive, CFD requires experimental
391
validation [11]. Therefore, the above–described physical measurements are utilized in this
392
section to validate the developed 3D CFD model. All numerical computations were performed
393
using the RANS–VOF solver in the commercial CFD code STAR–CCM+ that utilizes a finite
394
volume method and the integral formulation of the conservation equations for mass and
395
momentum, while a predictor–corrector approach is used to link the continuity and momentum
396
equations [46].
397
4.1.
Governing equations and numerical settings
398
The CFD model developed in this section assumes incompressible flow since it has been
399
found that air compressibility is negligible in small model–scale OWC devices such that tested
400
in this study [25, 42]. The CFD model solves the continuity and RANS equations to describe the
401
flow motion of the incompressible fluid. To solve the RANS equations, the instantaneous
402
velocity and pressure fields in the Navier–Stokes equations are decomposed into mean value and
403
fluctuating components, and then time–averaged. Consequently, additional unknowns called
404
Reynolds stresses are introduced. To mathematically close the equations, a turbulence model
405
must be utilized to relate Reynolds stresses to the mean flow variables. In this paper, the two–
406
equation shear stress transport (SST) 𝑘–𝜔 turbulence model was implemented since it has been
407
found that 𝑘–𝜔 (SST) provides superior results to k–ɛ in capturing detailed flow field (velocity
16
ACCEPTED MANUSCRIPT 408
and vorticity) and estimating the energy losses in OWC devices when compared to experiments
409
[16].
410
To model and track the free surface motion, the Volume of Fluid (VOF) method
411
introduced by Hirt and Nichols [47] was used. The numerical settings of the CFD model were as
412
follows. Time modelling: implicit unsteady with second–order temporal discretization scheme,
413
flow modelling: segregated flow model with second–order upwind convection scheme (the
414
segregated flow solver controls the solution update for the segregated flow model according to
415
the SIMPLE algorithm) and multiphase model: VOF with segregated VOF solver that controls
416
the solution update for the phase volume fractions (i.e. solve the discretized volume–fraction
417
conservation equation for each phase present in the flow) with second–order convection scheme
418
[46].
419
4.2.
Computational domain, mesh, boundary and initial conditions
420
Ocean waves are the primary exciting source acting on offshore structures such as OWC
421
devices; therefore, accurate modelling of these waves is crucial for providing a good estimation
422
of the hydrodynamic loads and predicting the structure response and performance [48]. Referring
423
to Fig. 9–a, the computational fluid domain of this study had an overall length (in x–direction)
424
of 10L (L is wavelength) including 1L for the wave–damping zone at the end of the NWT, and
425
the OWC model was positioned at a distance of 5L from the wave inlet boundary. This set–up
426
was proven to be appropriate for capturing eight wave cycles up to a distance of 8L from inlet
427
boundary without being influenced by waves reflected from the outlet boundary assigned at the
428
end of the wave–damping zone [23]. To numerically mimic the width of AMC’s physical towing
429
tank without increasing the computation cost and time, the width of the NWT was set as half the
430
width of the towing tank (i.e., W/2 = 1750 mm) with a symmetry plane. The assumption of using
431
a symmetry plane and its impact on the numerical results was found to be negligible [42]. The
432
domain height was fixed at 2500 mm including 1500 mm (still water depth) for the water phase
433
and 1000 mm for the air phase. The tank side and bottom were defined as slip walls, while
434
hydrostatic wave pressure was defined at the top and outlet boundaries.
435
Mesh generation was performed using the automatic meshing technique in STAR–CCM+
436
with a trimmed cell mesher. A base cell size of 400 mm was applied to the whole computational
437
domain with progressive refinements at the free surface zone (the height of the free surface zone
438
was set as 1.5 times the wave height) with at least 16 and 75 cells per wave height (z–direction)
439
and wavelength (x–direction) respectively, which were close to what is recommended by the
440
ITTC [49] and CD–Adapco [46]. The cell aspect ratio (∆x/∆z, the ratio between cell size in x 17
ACCEPTED MANUSCRIPT 441
and z directions) at the free surface zone was set to be not more than 16 as recommended by
442
Elhanafi, et al. [23]. In the tank transverse (y) direction, a cell size of ∆y = 100 mm was used as
443
recommended by Elhanafi, et al. [42] among the three different sizes tested. The time step (∆t)
444
was carefully selected for each wave period (T) so that it satisfied the time step requirement (∆t
445
= T/2.4n, where n is number of cells per wavelength) by CD–Adapco [46] with a second–order
446
temporal discretization scheme. This resulted in a Courant number (C = Cg.∆t/∆x, where Cg is
447
the wave group velocity) [46] smaller than 0.5; hence, the High–Resolution Interface Capturing
448
(HRIC) scheme that is suited for tracking sharp interfaces [46] was guaranteed to be used during
449
the simulations. The OWC non–slip surfaces were refined with 6.25 mm and 0.78125 mm cell
450
surface size for the OWC walls and the PTO orifice opening, respectively as shown in Fig 9–b.
451
For all non–slip walls (OWC and PTO), a first cell height equivalent to y + ≅1 was used with a
452
growth rate of 1.5, ten prism layers and all y+ wall treatment. The initial conditions used in the
453
present CFD model were set as follows (see Fig. 9–c). The water level was defined at the desired
454
still water depth of z = h = 1.5 m, waves were prescribed by the velocity components at the wave
455
velocity inlet boundary and were fully generated throughout the whole domain until the front lip
456
of the OWC model by specifying that point on the water level (i.e., x = 5L).
18
ACCEPTED MANUSCRIPT
457 458 459 460
Fig. 9. Computational fluid domain (not to scale). (a): 3D mesh with boundary conditions, (b): OWC model surface mesh and (c): initial conditions 4.3.
Comparison between CFD and experimental results
461
To validate the developed 3D CFD model, the capture width ratio curve from the CFD
462
results shown Fig. 10 for a constant wave height H = 50 mm and PTO damping (R3) was
463
compared to the experimental results provided in Section 3. In this figure, 2D CFD results (with
464
the same pneumatic chamber length (b) and a slot opening of the same opening ratio as R3)[43]
465
were included to highlight 3D effects. It can be seen that CFD results from the 3D model were
466
in good agreement with the physical measurements, whereas the 2D model overestimated device
467
capture width ratio for the high–frequency zone. These differences could be attributed to the
468
constraints in the 2D modelling that did not let waves pass around the OWC device, especially
469
for high–frequency (short) waves when wave diffraction was important [50]. This highlights the
470
importance of using 3D CFD models in assessing the performance of offshore OWC devices.
19
ACCEPTED MANUSCRIPT
471 472 473
Fig. 10. Comparison between CFD (3D and 2D[43]) and experiments for device capture width ratio
474
Additional validations in time–series for incident wave elevation (ƞ1), average free
475
surface elevation inside the chamber (ƞOWC) and chamber differential air pressure (∆𝑝) are shown
476
in Fig. 11 for four different conditions. The normalized root mean square deviation (NRMSD)
477
given by Eq. (10) was found to be in the range of 1.9–5.0 %, which further illustrates the good
478
agreement between the 3D CFD results and the physical measurements.
479
1 1 NRMSD = 𝑥max ‒ 𝑥min 𝑁
𝑁
∑ (𝑥 ‒ 𝑦 ) 𝑖
2
(10)
𝑖
𝑖=1
480
where 𝑥𝑖, 𝑦𝑖, are measured and estimated values form the experiment and the 3D CFD model,
481
respectively, 𝑁 is number of data point (here, data from five wave cycles were considered), 𝑥max,
482
𝑥min are maximum and minimum measured values from the experiment, respectively.
483
20
ACCEPTED MANUSCRIPT
484 485 486 487 488 489
Fig. 11. 3D CFD results vs. time–series physical measurements for different wave conditions at a constant PTO damping (R3). (a): H = 50 mm and Kb = 0.84 (T = 1.2 s), (b): H = 50 mm and Kb = 0.62 (T = 1.4 s), (c): H = 50 mm and Kb = 0.47 (T = 1.6 s) and (d): H = 100 mm and Kb = 0.84 (T = 1.2 s) 5. Conclusions
490
The hydrodynamic performance of a 1:50 scale offshore OWC model was experimentally
491
investigated through 120 test conditions including different wave heights, wave periods and PTO
492
damping. In addition, a fully nonlinear 3D incompressible CFD model based on the RANS–VOF
493
approach was developed and validated against the physical measurements. The following main
494
conclusions can be drawn from the present study based on the incompressible flow assumption
495
at a small scale model and cannot be used at full–scale unless air compressibility effects are taken
496
into account.
497
For a given wave height, the maximum free surface elevation inside the chamber did not
498
occur at the resonance frequency of the OWC chamber but at a lower frequency. The relation
21
ACCEPTED MANUSCRIPT 499
between chamber maximum free surface oscillation and incoming wave amplitude was nonlinear
500
such that the amplification factor decreased as wave height increased.
501
The PTO damping provided an important parameter that could be adjusted to tune the
502
OWC device to a given wave frequency range. As wave height increased, the capture width ratio
503
decreased and increased for wave frequencies higher and lower than the device resonance
504
frequency, respectively. However, the differential air pressure as well as the airflow rate
505
increased as wave height increased, which in turn increased the extracted pneumatic power. This
506
proved the possibility of extracting more wave energy under large waves in offshore locations,
507
especially for low–frequency waves under small PTO damping.
508
Utilizing 2D CFD models to investigate the hydrodynamic performance of offshore
509
OWC devices could significantly overestimate the device capture width ratio, especially for the
510
peak value and the high–frequency zone. In contrast, the numerical results from the 3D CFD
511
model were in good agreement with physical measurements including incident wave elevation,
512
chamber free surface elevation, chamber differential air pressure and device capture width ratio.
513
Acknowledgements
514
The authors would like to gratefully acknowledge the technical support during experiments
515
from Associate Professor Gregor MacFarlane, Dr Alan Fleming, Dr Zhi Leong, Mr Tim
516
Lilienthal and Mr Kirk Meyer, Australian Maritime College (AMC), University of Tasmania,
517
Australia. In addition, the authors thank Mr Liam Honeychurch (AMC) for constructing the
518
tested model. The financial support from the National Centre for Maritime Engineering and
519
Hydrodynamics, Australian Maritime College, University of Tasmania, Australia is also
520
acknowledged.
521
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[50] S.K. Chakrabarti, Hydrodynamics of offshore structures, WIT Press, Southampton, UK. (1987).
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Highlights
The hydrodynamic performance of a 3D offshore OWC device was experimentally tested.
Effects of wave height and wave period and PTO damping were investigated.
Results from 3D CFD modelling were superior to 2D when compared to experiments.
The extracted pneumatic energy significantly increased as wave height increased.