Trans RINA, Vol 157, Part C1, Intl J Marine Design, Jan - Dec 2015 Table 3 Overvie Vessels
Monohull service vessel Catamarans
Small Waterplane Area Twin Hull (SWATH)
Jack-up barges Jack-up vessels
Crane Bar rge Crane Ships
Semi-submersible platforms
Within the two types modelling.
Types CTVs CTVs
CTVs MPVs
MPVs MPVs
MPVs
ew of existing O&M vessel types Cha
Very high speed, small passe
racteristics nger and cargo
Medium speed. limited passenger and cargo
capacity capacity
Moderate speed, limited passenger and cargo capacity
Non self-propulsion. Slow, d the working area. Serve as fe
epend on other eder vessels or
enance and Construction
ships to tow them to installation vessels
Self-propulsion. Self-lifting and stabilization. Heavy Mainte Lift heavy load
for transporting the items to install
Good stability during cranes operation. Offers good deck pa and goof lifting capabilities. Cost a lot
UCL O&M model all vessels are grouped into level
selected from Table 3, for high
For small scale repairs Crew Transfer Vessels (CTV); with speed of 25 to 30kt and relatively small, transporting 6 to 14 technicians and small tools or compo nents.
For lar ge scale repairs: Multi-Purpose Vessels (MPV); Depending on the type of repair needed, different vessel types are used.
Due to the increasing number of offshore wind farms, the demand for O&M vessels is growing rapidly. A common assumption is to allocate one CTV per 35 turbines and one MPV per 140 turbines [12]. To validate the
e UCL ace
Speed (kt)
26 25
18 8
10 5
ds. Limited in speed and no deck space available 6.1 6
Passenger capacity
12 12
12 160
120 88 28
736
O&M tool, the price and capability of each vessel type was based on the published data where available.
Two marine support strateg model: A single type of la
gies were incorporated in the arrge CTV; and a mothership
with small CTV. They were represented in the UCL O&M tool and combined with the O&M strategies discussed earli er to assess their applicability to various offshore wind farm design projects and to identify the be
est solution.
The UCL modelling tool was tested on UK round 1 wind farms with available data [[11, 12], and the correlation was satisfactory (Figure 4). Further tests were carried out for UK Round 3 sites at Morray Firth and Dogger Bank. T ests were also carried out to evaluate the influence of some key parameters on the cost or on the energy output.
Figure 4: UCL Model Validation for UK Round 1wind farms [8]
© 2015: The Royal Institution of Naval Architects
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