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NAUTILUS-DTU10 MW Floating Offshore Wind Turbine at Gulf of Maine: Public numerical models of an actively ballasted semisubmersible

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This study presents two numerical multiphysics models of the NAUTILUS-10 floating support structure mounting the DTU10 MW Reference Wind Turbine at Gulf of Maine site, and analyses its dynamics. With the site conditions and the FAST model of the onshore turbine as the starting point, the floating support structure: tower, floating substructure with its corresponding active ballast system and station keeping system, was designed by NAUTILUS. The numerical models were developed and the onshore DTU wind energy controller was tuned to avoid the resonance of the operating FOWT by TECNALIA, in the framework of H2020 LIFES50+ project. This concept and its subsystems are fully characterised throughout this paper and implemented in opensource code, FAST v8.16. Here, the mooring dynamics are solved using MoorDyn, and the hydrodynamic properties are computed using HydroDyn. Viscous effects, not captured by radiation-diffraction theory, are modelled using two different approaches: (1) through linear and quadratic additional hydrodynamic damping matrices and (2) by means of Morison elements. A set of simulations (such as, decay, wind only and broadband irregular waves tests) were carried out with system identification purposes and to analyse the differences between the two models presented. Then, a set of simulations in stochastic wind and waves were carried out to characterise the global response of the FOWT.
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NAUTILUS-DTU10
MW Floating Offshore Wind Turbine at Gulf of
Maine: Public numerical models of an actively ballasted
semisubmersible
To cite this article: J Galván et al 2018 J. Phys.: Conf. Ser. 1102 012015
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Global Wind Summit 2018 IOP Publishing
IOP Conf. Series: Journal of Physics: Conf. Series 1102 (2018) 012015 doi :10.1088/1742-6596/1102/1/012015
NAUTILUS-DTU10 MW Floating Offshore Wind Turbine at
Gulf of Maine: Public numerical models of an actively
ballasted semisubmersible
J Galván1, M J Sánchez-Lara1,2, I Mendikoa1, G Pérez-Morán1, V Nava1,3 and
R Rodríguez-Arias1,2
1 Tecnalia Research & Innovation, Energy division, Offshore Renewable Energy area;
Technology park of Bizkaia, Build. 700, Derio 48160, Basque Country, Spain
2 Nautilus Floating Solutions S.L.; Technology park of Bizkaia, Build. 612, Derio
48160, Basque Country, Spain
3 BCAM - Basque Centre for Applied Mathematics; Alameda Mazarredo 14, Bilbo
48009, Basque Country, Spain
josean.galvan@tecnalia.com
Abstract. This study presents two numerical multiphysics models of the NAUTILUS-10
floating support structure mounting the DTU10 MW Reference Wind Turbine at Gulf of Maine
site, and analyses its dynamics. With the site conditions and the FAST model of the onshore
turbine as the starting point, the floating support structure: tower, floating substructure with its
corresponding active ballast system and station keeping system, was designed by NAUTILUS.
The numerical models were developed and the onshore DTU wind energy controller was tuned
to avoid the resonance of the operating FOWT by TECNALIA, in the framework of H2020
LIFES50+ project. This concept and its subsystems are fully characterised throughout this
paper and implemented in opensource code, FAST v8.16. Here, the mooring dynamics are
solved using MoorDyn, and the hydrodynamic properties are computed using
HydroDyn.Viscous effects, not captured by radiation-diffraction theory, are modelled using
two different approaches: (1) through linear and quadratic additional hydrodynamic damping
matrices and (2) by means of Morison elements. A set of simulations (such as, decay, wind
only and broadband irregular waves tests) were carried out with system identification purposes
and to analyse the differences between the two models presented. Then, a set of simulations in
stochastic wind and waves were carried out to characterise the global response of the FOWT.
1. Introduction
The study summarises the state-of-the-art multiphysics numerical models of NAUTILUS-DTU10 MW
Floating Offshore Wind Turbine (FOWT) designed for Gulf of Maine (GoM) site, developed in the
framework of the H2020 LIFES50+ project. A public repository [1] contains detailed description of
these numerical models and the designer’s technical report [2].
The FOWT is composed by the Rotor-Nacelle Assembly (RNA) of the DTU 10 MW Reference
Wind Turbine (RWT) [3] and NAUTILUS-10 floating support structure. The main innovation of
NAUTILUS FOWT is the introduction of a Platform Trim System (PTS) which cancels /reduces the
wind-induced mean trim angle by means of a variable sea water ballast system. This smart floating
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IOP Conf. Series: Journal of Physics: Conf. Series 1102 (2018) 012015 doi :10.1088/1742-6596/1102/1/012015
structure is complemented with a tuned version of the onshore DTU wind energy controller [4] acting
on the wind turbine.
Two numerical models are described, both implemented in FAST code [5], [6], using 8.16 version.
While both numerical models have been developed to account for the active ballast dependent
properties, the difference between these two models relays on the hydrodynamic modelling.
2. NAUTILUS-DTU10 MW FOWT description
NAUTILUS-DTU10 MW FOWT is composed by a 10 MW Horizontal Axis Wind Turbine (HAWT):
DTU 10 MW RWT and the NAUTILUS support structure, designed for GoM site characteristics [7].
Inside this paper, the FOWT is divided in two main subsystems: (1) the RNA and (2) the support
structure, being the latter composed by the tower, the floating substructure and the Station Keeping
System (SKS).
Figure 1. NAUTILUS-DTU10 MW FOWT concept.
The DTU 10 MW RNA is mounted on the NAUTILUS-10 floating substructure (Figure 1, being
NAUTILUS-DTU10 the complete FOWT system identification). The SKS designed consists of four
standard catenary mooring lines anchored to the seabed of GoM. The whole system is controlled to
behave smoothly by means of the wind turbine actuators and tuned WT controller, and the PTS to
keep the tower vertical by flooding the tanks placed inside the columns with sea water ballast (WB) or
pumping it outside the semisubmersible.
Following along this section, the properties of the FOWT and its subsystems/components are
presented. This information is the basis for the development of the multiphysics numerical models.
2.1. FOWT properties
As it has been briefly mentioned, NAUTILUS-DTU10 presents variable weight distributions due to the
PTS that controls the active ballast to cancel the FOWT heel/trim angle during energy production. The
modification of the weights distribution inside the semisubmersible carries on the modification of the
weight-dependant properties of the FOWT:
Mechanical properties: mass, centre of mass (CM) and inertia
Draft and draft-dependant variables: hydrostatic and hydrodynamic properties; location of the
hub, tower base and fairleads.
2.1.1. Mechanical properties. The mechanical properties and displacement (   kg/m3)
determined for the empty and fully loaded active ballast tanks are shown in Table 1, while the
variation of these properties as function of wind speed at hub height and wind different directions can
be found in [2].
z
y
x
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FOWT property
Empty WB
Full WB
Units
Mass
8,137,093
9,337,093
[kg]
CM w.r.t. k CSys.
(-0.066 , 0 , 20.607)
(-0.058 , 0 , 20.113)
[m]
System roll / pitch / yaw radius of gyration
47.19 / 47.22 / 26.50
45.61 / 45.64 / 28.40
[m]
Operational draft w/ SKS
14.952
18.333
[m]
Displacement w/ SKS
8,113.06
9,280.96
[m3]
2.1.2. Hydrostatic properties. NAUTILUS-DTU-10 MW FOWT, derived from this semisubmersible
geometry, considering fully loaded WB tanks and including the SKS present a metacentric distance
from keel (KM) of 34.623 m, while the centre of buoyancy is located 6.497 m above keel. Considering
the FOWT CM (Table 1), the distance between CM and the metacentre (M) is then 14.881 m.
The hydrostatic stiffness terms for a floater draft of 18.333 m, horizontally positioned and without
accounting for the mass restoring effects are:     N/m,      N·m/rad
and     N·m/rad.
2.1.3. Hydrodynamic properties. Due to the different approaches employed in the numerical
hydrodynamic models presented in section 3, the hydrodynamic characterisation of the FOWT is
presented in the mentioned section which describes both models.
2.2. FOWT subsystems/components
2.2.1. DTU 10 MW RNA. The DTU 10 MW RWT was designed and analysed inside LigthRotor danish
project and INNWIND EU project by Vestas, DTU and the INNWIND Consortium [8]. The RNA of
this wind turbine was selected as reference for the design of the floating support structures inside
LIFES50+ project [9].
This RNA is designed for a wind regime IEC Class 1A and develops 10 MW of power at nominal
above nominal wind speed (11.4 m/s). The three bladed upwind rotor has a diameter of 178.33 m and
spins in the range from 6 to 9 rpm. Cut-in and cut-out wind speed are 4 m/s and 25 m/s, respectively.
Further information about this RNA can be found in [3], [8], [9].
2.2.2. DTU wind energy controller. This controller was conceived for the DTU 10 MW RWT which is
an onshore WT. The controller is inspired on previous DTU controllers and the modifications
proposed in [10] for the NREL 5 MW WT controller inside UpWind EU project.
Table 2. Tuned WT controller parameters in the full load region.
Value
Units
Proportional gain of pitch controller
0.208004
[rad/(rad/s)]
Integral gain of pitch controller
0.041415
[rad/rad]
Differential gain of pitch controller
0.0
[rad/(rad/s2)]
Proportional power error gain
0.4·10-8
[rad/W]
Integral power error gain
0.4·10-8
[rad/(W·s)]
Linear coeff. in aerodynamic gain scheduling, KK1
5.498310
[deg]
Quadratic coeff. in aerodynamic gain scheduling, KK2
386.005941
[deg2]
Relative speed for double nonlinear gain
1.3
[-]
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The control strategies implemented in the DTU wind energy controller are based on the traditional
onshore HAWT controllers which consider two main operating regions: (1) partial load region and (2)
full load region, where the blade pitch controller acts with the main objective to maintain a constant
power or torque, depending on the strategy selected.
The controller setup in the partial load region remains unmodified. In the full load region, by
contrast, the controller strategy objective has been switched from a constant power output to a constant
torque; and to avoid the negative damping induced motion amplifications, the controller parameters
have been tuned (Table 2).
2.2.3. NAUTILUS-10 tower. At earliest stage of the design, the original onshore tower of the DTU 10
MW RWT was analysed installed on the moored semisubmersible. As it was expected, that onshore
design falled inside the rotor 3P excitation due to the stiffness reduction of the floating substructure
compared to rigid ground; therefore NAUTILUS-10 tower was conceived to dynamically behave as a
stiff/stiff tower once installed in the FOWT.
It is a conical single piece tower design of linearly varying thickness. The tower base is connected
to the floating substructure by a transition piece at tower-platform interface. This component is
embedded into the main deck of the floating platform and thus, it is considered part of the hull. The
tower base presents an outer diameter of 10.5 m, meanwhile the tower top conserves the 5.5 m outer
diameter to fulfil RNA requirements [3]. Tower base and top thickness are 0.040 m and 0.037 m,
respectively. The tower has a total length of 107 m. once the FOWT is installed and considering the
fully filled ballast tanks, the tower base is located 7.667 m above MSL. Note that this distance will
vary with the WB levels in the tanks.
The tower is made of steel S-355-J2H. Material density has been augmented to 8,500 kg/m3 to
account for the mass of “realistic” tower sections flanges, secondary structures, etc., as it was done in
other public WT tower models [11]. The total tower mass is 879,381 kg and its CM is located 47.241
m above tower base. Distributed mechanical and structural properties of the tower can be found in [2].
NAUTILUS-10 tower installed onshore and on the free-floating and moored floater, supporting the
RNA mass presents the natural frequencies shown in Table 3. These results have been obtained
resolving the eigenproblem of the undamped system where the RNA is modelled as a point mass.
Table 3. NAUTILUS-10 tower undamped natural frequencies considering different boundary
conditions and 1,200 tonnes of WB.
Modeshape
Onshore
Free-floating
Moored
Units
1st Side-to-Side
0.3930
0.5435
0.5407
[Hz]
1st Fore-Aft
0.3970
0.5508
0.5478
[Hz]
1st Twist
1.5125
1.5180
1.5179
[Hz]
2nd Side-to-Side (coupled with 2nd twist)
1.9493
2.0058
2.0042
[Hz]
2nd Fore-Aft
2.2372
2.2979
2.2962
[Hz]
As it can be seen the first Fore-Aft (FA) and Side-to-Side (SS) natural frequencies of the tower for
the moored configuration are between the rotor 3P and 6P frequencies, corresponding to a stiff-stiff
tower design.
2.2.4. NAUTILUS-10 floating substructure. NAUTILUS-10 semisubmersible type platform is an
upscaled (and modified) version of the concept developed for the NREL 5 MW WT [12] by
TECNALIA for NAUTILUS Floating Solutions S.L. The main modifications that are relevant for this
study are: (1) the central heave-plate is removed and (2) the column height , and therefore the
freeboard, has been reduced.
NAUTILUS is a symmetric semisubmersible floating platform (Figure 1), whose hull is composed
by four columns connected at keel plane by a square-shaped ring pontoon and by an X-shaped main
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deck at columns top. The transition piece to connect the tower is embedded in the main deck centre.
All the structure is compartmented to keep the structure water tight. The structure is made of structural
steel S-275 J2 and S355. The conceptual design of NAUTILUS-10 semisubmersible to support DTU 10
MW RNA installed on the described tower at Gulf of Maine site, presents the dimensions and
operational draft shown in Table 4.
Table 4. Geometrical properties of NAUTILUS-10 concept components and
floater draft.
NAUTILUS-10 design variable
Value
Units
Transition piece height, 
3.00
[kg]
Transition piece diameter, 
10.50
[m]
Main deck width, 
10.50
[kg·m2]
Main deck height, 
3.00
[kg·m2]
Distance between columns,
54.75
[kg·m2]
Column diameter,
10.50
[m]
Column height, (from keel to deck top)
26.00
[m]
Pontoon width,
10.50
[m]
Pontoon height,
1.50
[m]
Equilibrium draft (including RNA, tower and SKS)
18.33
[m]
FOWT stability is increased by means of ballasting the ring pontoon with 3,885 tonnes of concrete.
The concrete ballast (CB) reaches a height of 0.71 m w.r.t. to the keel line of the floater.
The columns, which are compartmented above pontoon height, store movable seawater ballast
(WB) in the lowest compartment with up to 300 tonnes of active ballast per column. This removable
seawater ballast mass is modified under control of the Platform Trim System (PTS).
Following, the mechanical properties of NAUTILUS-10 semisubmersible considering hull, passive
ballast mass and (1) empty and (2) full loaded seawater ballast tanks are shown in Table 5. Further
information about the mechanical properties of NAUTILUS-10 can be found in [2].
Floating substructure property
Empty WB
Full WB
Units
Mass
6,581,000
7,781,337
[kg]
CM w.r.t. k CSys.
(0 , 0 , 4.204)
(0 , 0 , 4.050)
[m]
System roll / pitch / yaw radius of gyration
24.41 / 24.41 / 29.26
24.91 / 24.91 / 30.95
[m]
As it can be derived from this table, the WB increases the floater roll and pitch inertia in 23% and
32% in the case of yaw one, which effectively is translated in higher periods. The platform mass, by
its side, is increased in 18% and a slightly reduction (<4%) of the vertical position of the CM is also
achieved when the full WB mass (1,200 tonnes) is considered.
2.2.5. NAUTILUS-10 Platform Trim System. NAUTILUS-DTU10 MW FOWT cancels/reduces the
mean wind-induced trimming and heeling by means of a Platform Trim System (PTS), thus restoring
the platform to an optimal position (vertical tower) from the WT performance point of view.
The PTS has three sensors that are responsible of measuring the FOWT roll and pitch amplitude
and the draft.
The control system actuator is the pumping system. Opposite to other active ballast systems
oriented to floating wind turbines which do not modify the draft [13], [14]; this system pumps sea
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water independently into/out to each of the individual columns. The controller acts on the valves
opening and water pumps to vary the WB level. Up to 300 tonnes of sea water ballast could be taken
off in approximately 30 min using two independent flow paths with redundant pumping capability.
As it can be glimpsed, when the WT is operating, the WB distribution will be driven by FOWT
mean heel/trim amplitudes which are tightly related to thrust force magnitude and direction which at
the same time depends on the next parameters:
Wind speed.
Effective wind direction, which depends on the mean wind flow direction and the nacelle yaw.
Although the sea state (SS) also influences the FOWT rotational displacements, its contribution to
the total mean amplitude has been found to be minimal when the WT is operating around rated wind
speed. Thus, for NAUTILUS-DTU10 MW FOWT the PTS has been simplified to a wind speed
dependant WB distribution. Considering the wind aligned with global X-axis, the WB mass in the
upwind columns tanks will be constant (300 tons) and the downwind tanks will pump out WB (300
tonnes present for 0 m/s wind speed) until the FOWT heel angle is cancelled (see Figure 2 and [2] for
further information).
Due to the variable draft characteristic of NAUTILUS-10 floating support structure, the hub height
above the mean sea level (MSL) will vary according to the WB distribution (Figure 2).
Figure 2. Hub height (blue) as function of wind speed due to
water ballast (red) variation in downwind tanks.
Some additional advantages of installing a PTS in a FOWT are pointed below:
More flexibility to vary draft which could prevent from wave slamming over the deck under
non-operational extreme conditions. Regarding inspection and maintenance, the control over
draft can simplify these two tasks on the floating platform.
Under damaged condition (i.e., due to a collision), the floating platform disposes of additional
resources to pump out the sea water.
2.2.6. NAUTILUS-10 station keeping system. The aim of the SKS is to avoid the FOWT from drifting
and therefore to maintain the power cable within a sufficient stress range. For this purpose, the floater
is moored with four catenary lines (Figure 1).
Gulf of Maine seabed presents 4 m of dense sand [7] which enables the use of conventional drag
anchors to keep lines secured to seabed. The design water depth was set to 130 m for LIFES50+ EU
project, meanwhile water density of 1,025 kg/m3 was considered. The seabed is assumed to be
horizontal and flat.
Fairleads are located 12 m above the floater’s keel line which let them 6.333 m below MSL when
the FOWT is in its undisplaced position (draft of 18.333 m), and 43.96 m, in XY-plane, from platform
0
50
100
150
200
250
300
350
118
118.2
118.4
118.6
118.8
119
119.2
119.4
119.6
119.8
0 5 10 15 20 25
Active ballast mass in each downwind column [t]
Hub height above MSL [m]
uHH [m/s]
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centreline. Drag anchors are fixed to seabed at 793.50 m from fairlead position and therefore to 837.46
m from NAUTILUS-10 centreline. All mooring lines have the same unstretched length of 833.24 m.
The mooring lines selected are studless chains of 97 mm of bar nominal diameter. The chain
distributed mass is 188.16 kg/m and the extensional (axial) stiffness is 803.5 MN. The SKS pretension
derived from this layout is then 406,300 N.
3. Multiphysics modelling of NAUTILUS-DTU10 MW FOWT
This section is fully dedicated to the description of the numerical multiphysics models that have been
implemented to capture the FOWT aero-hydro-servo-elastic behaviour through time domain coupled
simulations. FAST 8.16 32-bit version code [15] has been employed to build these models. Following,
this section is structured according to the physics that are part of the problem.
3.1. Multibody dynamics
FAST v8.16 presents a modular framework which is articulated around the multibody dynamics model
that represents the FOWT. This model is the responsible of solving the nonlinear equations of motion
of the system and of feeding with the calculated displacements, velocities and accelerations the
multiphysics modules that determine the loads to be applied to the multibody model. The multibody
formulation is combined with a modal superposition approach to represent the flexible elements of the
FOWT (blades and tower). The FOWT model implemented accounts for a total of 23 DOFs.
3.2. Elastodynamics
The drivetrain, blades and tower of the FOWT are considered flexible inside the models presented
here. While the drivetrain is represented by a single degree of freedom (DOF) representing its torsion,
the tower and each blade consider 4 and 3 DOFs, respectively. The tower modeshapes included in the
modal superposition approach implemented in ElastoDyn are: the 1st and 2nd fore-aft and side-to-side.
The tower is meshed with a total of 30 equally spaced nodes.
Taking into account the geometry, the structural and aerodynamic properties of the prebended
blade of DTU 10 MW RWT [3], a high fidelity model like that implemented in BeamDyn [16], [17]
would be advisable. Nevertheless, the blade model distributed inside the LIFES50+ project was
simplified to a straight blade model [9]. This simplification was considered to overcome the numerical
efficiency problems detected in BeamDyn of FAST v8.12, initially employed in LIFES50+ project.
Then, the blade model considered here accounts for 1st and 2nd flapwise modeshapes and considers
just the 1st edgewise. A total of 50 structural elements are used in the discretisation of this component.
3.3. Aerodynamics
As in the case of elastodynamics, the blade properties have been adapted, so the rotor shows very
similar aeroelastic performance when using the high fidelity or the modal superposition approach to
calculate elastodynamics. The blade aerodynamic mesh defined in [9] is composed by 37 nodes.
Rotor aerodynamics have been modelled using an engineering-level model based on the modified
Blade Element Momentum theory that AeroDyn v14.05 implements [18][20]. Note that nor the tower
influence on the flow around the blade nor the wind loading on the tower and floater have been
considered in the results presented in this paper. The reason for this important simplification is that the
DTU 10 MW RWT aerodynamics have not been defined for AeroDyn v15 code [9], the first release
including these capabilities in the analysis of floating support structures [21].
3.4. Servodynamics
3.4.1. WT controller. This controller is distributed under a 32 bit Dynamic Library Link (DLL)
package, in the style of Garrad Hassan’s BLADED WT software which can communicate with
ServoDyn module of FAST [22]. These files and the tuned input files can be download from [1].
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3.4.2. Platform trim system. On the other hand, the floating platform control system dynamics are
not considered along the coupled dynamic simulations due to its large response period (as in the case
of nacelle yaw controller for onshore WTs). The sea water ballast distribution is determined prior to
the simulation and it remains constant along all the simulation.
Although the inclusion of the dynamics of PTS opens the study to combined strategies between the
WT and floater’s controllers, this topic will not be covered in the present paper.
3.5. Hydrodynamics
As result of the comparison of the hydrodynamic loads due to two different sea states (NSS and ESS)
in [2], it was concluded that for the case of NAUTILUS-DTU10 MW FOWT the Potential Flow (PF)
solution obtains satisfactory results under NSS, but by contrast under ESS, the viscous effects should
not be neglected. Same conclusions were obtained in [23] for the OC4 DeepCwind semisubmersible.
Following the previous recommendations, two hydrodynamics models have been implemented in
HydroDyn for comparison purposes, identified as PF+AHD (potential flow + additional hydrodynamic
damping) and PF+ME (potential flow + Morison elements), differing on the modelling of turbulent
effects. While additional hydrodynamics models in [2] are based on a variable submerged volume,
both numerical hydrodynamics models presented here consider a constant submerged volume.
3.5.1. Hydrodynamics: Potential flow solution. For the studied geometry, calculations have been
carried out using a higher order panel method with the maximum panel size considered is 2 m, with a
frequency resolution of 0.02 rad/s, considering no RNA eccentricity, under fully loaded WB condition
and hull keel plane horizontal due to PTS.
For the calculation of the mean drift force, FOWT mechanical properties (Table 1) and the
linearized mooring stiffness matrix is also given to the solver, while no additional damping was
included at this stage (due to the absence of reliable damping values), provided that results were
considered acceptable.
3.5.2. Hydrodynamics: Viscosity through additional hydrodynamic damping vs Morison elements. In
the PF+AHD model, AHD values (Table 6) were determined through an upscaling process of
NAUTILUS-NREL5 MW concept, which had been experimentally tested at two different scales [12],
[25], asdescribed in [2].
Table 6. Linear and quadratic AHD values of NAUTILUS-DTU10 MW FOWT.
Linear AHD terms
Quadratic AHD terms
DOF
Value
Units
Value
Units
Surge
0
[N·s/m]
1,100,985
[N·s2/m2]
Sway
0
[N·s/m]
827,308
[N·s2/m2]
Heave
335,479
[N·s/m]
5,637,998
[N·s2/m2]
Roll
211.97·106
[N·m·s/rad]
38,515.2·106
[N·m·s2/rad2]
Pitch
222.17·106
[N·m·s/rad]
41,617.9·106
[N·m·s2/rad2]
Yaw
22.56·106
[N·m·s/rad]
7,066.5·106
[N·m·s2/rad2]
The drag terms of Morison’s equation (ME) can be computed by combination with the strip theory.
The mesh defined to calculate the submerged volume and described in [2] is used here.
Table 7 collects the drag coefficients and dimensions of the members that the platform has been
decomposed into. These values have been fitted to account for the inter-member interactions and show
a hydrodynamic behaviour comparable to that obtained with the PF+AHD model, which accounts for
the interaction between the submerged members under waves (but not current) conditions.
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Table 7. Morison elements and drag coefficients of NAUTILUS-10 semisubmersible.
* is only applied at the lower end of the member.
Modelling geometry
Drag coefficients
Member
[m]
[m]
* [-]
 [-]
Pontoon(s)
4.478
44.250
-
2.0000
Ring pontoon rounded corner(s)
4.617
1.500
1.0483
-
Column(s) connection w/ pontoons
4.753
1.500
-
-
Column(s)
10.500
26.000
0.8745
0.9600
Virtual column
6.529
1.500
550.0000
-
3.6. Mooring dynamics
Meanwhile in [2] up to four different mooring dynamics codes (MAP++, MoorDyn, FEAM and
OrcaFlex) are analysed and compared in time domain, coupled and decoupled from the overall
multiphysics problem. Here, the SKS dynamics will be resolved using MoorDyn code [26]. The
mooring line properties are determined from OrcaFlex [27] database and adapted to the theory behind
MoorDyn, as shown in Table 8 where the difference between both codes can be derived.
Table 8. Mooring lines properties considered in the numerical codes.
MoorDyn
OrcaFlex
Units
Hydrodynamic diameter in normal direction
0.097
0.097
[m]
Hydrodynamic diameter in axial direction
0.097
0.031
[m]
Diameter for line-to-seabed friction
-
0.302
[m]
Drag coefficient in normal direction, 
2.400
2.400
[-]
Drag coefficient in axial direction, 
0.368
1.15
[-]
Drag coefficient in normal direction, 
1.000
1.000
[-]
Added mass coefficient in axial direction, 
0.160
0.500
[-]
Line-to-seabed friction coefficient, 
-
0.0
[-]
Structural damping ratio, 
1.0
1.0
[%]
4. Tests and Design Driving Load Cases: Definition and results
4.1. Decay tests
These tests dedicated to identifying the system properties are performed in calm water without and
with the presence of uniform wind (4, 8, 11.4, 18 and 44 m/s) parallel to global X-axis (Figure 1). This
set of tests provide the designers wide information about eigenfrequencies of the platform, linear and
quadratic damping and linearity effects. The considered initial offsets from equilibrium position are 10
m, 2 m and 8 degrees for surge, heave and pitch, respectively.
The free decay tests without wind (Figure 3, top) reveal that a very good match between the
hydrodynamic models proposed is achieved, finding slight differences in the first cycles of surge test.
When steady wind is present and the rotor is operating, there are three main factors that will modify
the floater periods: (1) the SKS stiffness at equilibrium, (2) rotor introduced aerodynamic damping
and (3) the PTS driven WB distribution to adapt to wind characteristics. The variation of the periods
due to SKS stiffness can be clearly observed in surge decay tests; because of the lower contribution
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this parameter to heave and pitch motion (for the case of this semisubmersible), the variation of the
periods due to mass variation and aerodynamic damping are more noticeable in heave and pitch tests.
Figure 3. Decay tests of NAUTILUS-DTU10 FOWT w/o wind (top, comparison of
hydrodynamic models) and operating w/ steady wind (bottom, PF+AHD).
As it can be seen in Figure 3, surge and pitch tests operating at nominal wind speed do not
completely decay and some resonance phenomena can be observed in surge motion. This resonance is
mainly due to the WT controller setup, which was tuned considering a stepped wind case without
ocean loading (section 4.3) showing a stable behaviour. It should be noted that this self-excitation
reduces/disappears when irregular waves are present, due to the randomness of the excitation
frequency. Nominal wind in still water in not a load case (LC) expected in GoM. The reproduction of
this instability is very sensitive to the initial blades pitch condition.
4.2. Wind tests
Uniform wind type with increasing speed (1 m/s steps of 300 s) confined between the rotor cut-in to
cut-out limits is considered here to assess the FOWT dynamics behaviour under operation. To ensure
the dynamic stability of the system, the inclusion of waves is neglected and thus, significant values of
hydrodynamic damping too. Additionally, the response has been calculated for WB distributions that
correspond to 4 and 11.4 m/s wind speed.
Figure 4. FOWT performance under stepped wind.
In the case of FOWTs the wind range affecting the full-load region of the controller is of special
interest (rotor thrust decreasing region). The constant torque strategy is clearly shown in Figure 4. The
controller tuning will also depend on the maximum allowable generated power, which already is
unknown. Nacelle accelerations show a slightly lower maximum and more stable response under the
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11.4 m/s WB distribution. Non-zero mean pitch offsets indicate a suboptimal setup and /or distribution
of the ballast, fact visible through the wind speed ranges different to that considered (4 m/s and 11.4
m/s) at the beginning of the simulation. This effect is partially induced by the static character of the
simulation, but it should be noticed that the response time of the proposed PTS (0.15 deg/min) will
be able to answer to such speed steps that are maintained constant during 5 min. The relation between
surge motion and fairlead tension can be observed in the results above.
4.3. Broadband irregular waves tests
Broadband spectrum waves tests are very useful to characterise the hydrodynamic behaviour as the
system is excited in a wide range of frequencies. The energy of the waves is distributed here in a white
noise pattern from 4.5 to 18.2 s for two different wave heights (2 and 4 m) and headings (-15 and 90
deg) considering two hours simulation length (excluding transients).
The results are presented in Figure 5 under the form of power spectral density (PSD) of the most
relevant DOFs of the floater. No significant differences can be observed in the low frequency
translations (surge and sway) independently from wave height. PF+ME calculates a more damped yaw
response, opposite to heave motion where larger energy content is present at heave natural frequency.
Both models obtain nearly identical roll and pitch response, independently of wave height.
Figure 5. Comparison of the hydrodynamic models under white noise tests.   m,
   deg (top) and   m,   deg (bottom).
4.4. Design driving load cases: Turbulent wind and irregular waves at Gulf of Maine
Finally, closing the analysis section of this paper, the spectrum-compatible irregular waves and
turbulent wind expected at Gulf of Maine are analysed. A reduced set of Design Load Cases (DLCs),
coherent with IEC standards, has been selected for this paper (Table 9), which indeed are part of the
NAUTILUS-DTU10 MW FOWT Design Driving Load Cases (DDLCs) set.
Table 9. Turbulent wind (   deg) and irregular waves DLCs.
DLC Id.

[m/s]

[%]
Shear
[-]
Wave direction
[deg]
[m]
[s]
DLC 1.6_1/2/6
8.0/11.4/18.0
8.3/8.4/8.7
0.14
-15
7.7/7.7/10.9
12.4/12.4/15.0
DLC 1.6_7
11.4
8.4
0.14
90
7.7
12.4
DLC 5.1
11.4
12.8
0.14
0
1.6
25
DLC 6.1_2a
44.0
11.0
0.11
-15
10.9
15.0
A fault condition DLC has been included: DLC 5.1. This LC considers the loss of the electrical
grid while operating at rated wind speed and thus, a rapid reduction of the mechanical torque (and
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thrust consequently) will occur to due to blade pitching to avoid rotor over-acceleration. This is a
DDLCs for the NAUTILUS-10 PTS and the unphysical wave of 25 s period has been chosen to
excitate heave and roll/pitch motion. This DLCS should be taken into consideration in all the actively
ballasted floating substructures; as the WB distribution for this wind condition will augment the
maximum pitch amplitude generated during the transients.
The maximum pitch rotation remains above -15 degrees after the loss of grid (Figure 6) and the
response decays until equilibrium. Due to the reduction of thrust, FOWT excursion is reduced while
the nacelle accelerations induced by the transients remains below 0.6 m/s2.
Figure 6. FOWT response operating at nominal wind speed and with loss of grid.
Some key parameters of the FOWT behaviour determined from the DLCs dedicated to study ULS
are summarised below (Table 10). The results, calculated employing PF+AHD model, are presented in
terms of their statistical mean and standard deviation. It can be observed that power production under
SSS (DLC 1.6_X) is the most exigent and achieves larger mean values and standard deviations.
Table 10. Statistics of NAUTILUS-DTU10 MW FOWT key parameters.
DLC 1.6_X
DLC 6.1_2a
Output parameter
Max
Mean
STD
Max
Mean
STD
Units
Generator power
11,860
9,996
882
-
-
-
[kW]
Blade root My
37,670
25,324
4,630
5,821
868
1,585
[kN·m]
Combined RNA
acceleration
1.99
0.40
0.22
1.51
0.41
0.20
[m/s2]
Combined tower base
moment
329,892
138,956
59,300
183,367
51,446
26,282
[kN·m]
Floater excursion
27.92
21.50
2.87
10.49
5.52
1.68
[m]
Combined floater
heel/trim
6.90
1.44
0.99
3.02
0.91
0.45
[deg]
Mooring line tension
2,511
1,558
213
1,025
741
69
[kN]
5. Conclusions
The inclusion of the active ballast control system in NAUTILUS-10 semisubmersible brings some
challenges to the numerical modelling of this concept. While most of these challenges increase the
time during the FOWT design and validation processes, some simplifications that can be applied to
this concept to reduce the demand of these resources have also been mentioned.
To validate the concept against a reduced set of DDLCs, two numerical models have been
presented. When both are applicable, PF+AHD is 30% faster than PF+ME model, which is
particularly convenient during the first design loops of the concept. Nevertheless, when implemented
thorugh FAST’s HydroDyn module, PF+AHD cannot model the current induced loading/damping.
The numerical results show that controller dynamics and hydrodynamic loading/damping play an
important role in the dynamic stability of the FOWT and demonstrate the satisfactory behaviour of
NAUTILUS-DTU10 MW Floating Offshore Wind Turbine.
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After the first design iteration presented here, future work will focus on the WT controller and
communication with the PTS and the calibration of the hydrodynamic models against experimental
tests. The inclusion of the submodels to capture tower and floater aerodynamics will be of special
interest too, linked to the development of the BeamDyn model of the blades.
In order to make this information public to the research community and support the development of
Floating Offshore Wind technology, the FOWT designer’s information and the numerical models
developed and presented here can be found at: https://www.researchgate.net/project/NAUTILUS-
DTU10-MW-Floating-Offshore-Wind-Turbine-at-Gulf-of-Maine.
Acknowledgments
The research leading to these results has received funding from the European Union Horizon2020
programme under the agreement H2020-LCE-2014-1-640741, LIFES50+ project.
References
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... In addition, floating wind farms can be deployed in larger suitable free areas. The design of the floating support structure is still a major challenge for the industrialisation of this technology, for which many concepts have already been developed (Galván et al., 2018;Roddier et al., 2010;Ahn and Shin, 2019;Engineering, 2021). The size and weight of the platform still have great potential in terms of optimal design and cost reduction. ...
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Floating offshore wind turbines (FOWTs) are a rapidly developing technology, but still, need to gain economic competitiveness to obtain market acceptance. The reduction of the structural cost of the floating platform represents one of the main targets to reach an optimal design in the initial design process. This paper proposes an efficient optimisation tool that could be applied to any floating wind turbine to optimise the main geometry design parameters. In this study, the OC3 spar buoy concept is considered as an example, where the stability and dynamic performance of the device are verified using hydrostatic and time-domain computations. The numerical simulations are solved using an in-house MATLAB code that uses Salome-Meca to create the mesh and obtain hydrostatic and dynamic properties of the platform, Nemoh to calculate the hydrodynamic coefficients and an aero-hydro-servo Simscape model for the time-domain simulation. The main geometry design parameters of the buoy are optimised using a genetic algorithm in combination with the Kriging surrogate model to minimise the buoy’s structural cost while ensuring the spar’s performance. The optimal design reduces the cost by two to three times the worst configuration of the design space and there is also a 25% cost reduction between the most and the least restrictive optimal cases. The optimal design results demonstrate the hydrostatic constraints’ significance over the dynamic ones as they mostly influence the feasible design area. However, the results of this work could only be specific to the design case considered, and careful consideration should be given to other types of geometries. The optimisation approach presented is particularly important as it is flexible and can be adapted to other platforms.
Article
Full-text available
AeroDyn is a set of routines used in conjunction with an aeroelastic simulation code to predict the aerodynamics of horizontal axis wind turbines. These subroutines provide several different models whose theoretical bases are described in this manual. AeroDyn contains two models for calculating the effect of wind turbine wakes: the blade element momentum theory and the generalized dynamic-wake theory. Blade element momentum theory is the classical standard used by many wind turbine designers and generalized dynamic wake theory is a more recent model useful for modeling skewed and unsteady wake dynamics. When using the blade element momentum theory, various corrections are available for the user, such as incorporating the aerodynamic effects of tip losses, hub losses, and skewed wakes. With the generalized dynamic wake, all of these effects are automatically included. Both of these methods are used to calculate the axial induced velocities from the wake in the rotor plane. The user also has the option of calculating the rotational induced velocity. In addition, AeroDyn contains an important model for dynamic stall based on the semi-empirical Beddoes-Leishman model. This model is particularly important for yawed wind turbines. Another aerodynamic model in AeroDyn is a tower shadow model based on potential flow around a cylinder and an expanding wake. Finally, AeroDyn has the ability to read several different formats of wind input, including single-point hub-height wind files or multiple-point turbulent winds.
Conference Paper
BeamDyn, a Legendre-spectral-finite-element implementation of geometrically exact beam theory (GEBT), was developed to meet the design challenges associated with highly flexible composite wind turbine blades. In this paper, the governing equations of GEBT are reformulated into a nonlinear state-space form to support its coupling within the modular framework of the FAST wind turbine computer-aided engineering (CAE) tool. Different time integration schemes (implicit and explicit) were implemented and examined for wind turbine analysis. Numerical examples are presented to demonstrate the capability of this new beam solver. An example analysis of a realistic wind turbine blade, the CX-100, is also presented as validation. © 2015, American Institute of Aeronautics and Astronautics Inc. All rights reserved.
Conference Paper
In this paper, the major results of an experimental tank test campaign on the hydrodynamics and dynamics of a floating offshore semisubmersible platform supporting a wind energy turbine are presented. The tests were performed by TECNALIA at the HMRC wave tank in Cork within the framework of the MARINET project. The prototype consisted in a four-column semisubmersible platform with a ring pontoon placed in 60-m-deep water and subject to a wave climate typical of the Basque Country coast; the tests were performed using a small (1:60) physical model following Froude scaling law. The turbine held by the proto-type is the NREL 5MW baseline wind turbine. Mainly the investigation dealt with the identification of the characteristics of the platform: the results herein presented include outcomes from decay tests, response am-plitude operators (RAOs) by means of tests in regular waves, irregular wave responses and fairlead mooring loads. The purpose of the work is to achieve a comprehensive system identification of the major properties of the platform; further, the experimental results have been used to validate the modeling of the structure and to compare them with the outcomes of numerical simulations obtaining by coupling commercial software and other data available in literature.
Conference Paper
Wind energy is a clean, renewable and extremely fast growing form of electricity generation and the potential to install turbines deep offshore is only just being realised. The vast majority of commercial offshore turbines have foundations on the seabed thereby restricting the depths at which offshore farms can be installed. In an attempt to facilitate access to a potential multi-Terawatt resource, a number of floating concept wind turbines have emerged. In this tutorial paper we review the control challenges associated with the design of floating turbines and summarise recent developments in the area. Of particular interest is a fore-aft oscillation induced by attempting to regulate the generator speed to its rated value. The paper concludes with a discussion of how the control problems presented are likely to change with increasing turbine size and structural flexibility.
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This report describes a three-bladed, upwind, variable-speed, variable blade-pitch-to-feather-controlled multimegawatt wind turbine model developed by NREL to support concept studies aimed at assessing offshore wind technology.
D1.2 Wind turbine models for the design
  • M Borg
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M. Borg, M. Mirzaei, and H. Brendmose, 'D1.2 Wind turbine models for the design', DTU, Public LIFES50+ D1.2, Dec. 2015.
Readme file for FAST v8.16.00a-bjj
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B. Jonkman and J. Jonkman, 'Readme file for FAST v8.16.00a-bjj', 26-Jul-2016. [Online].
3013 Definition of the reference Wind Turbine-Analysis of Rotor Design Parameters (CRES)
  • P K Chaviaropoulos
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  • D Lekou