Trans RINA, Vol 157, Part C1, Intl J Marine Design, Jan - Dec 2015 at 2500hr and 5000hr Condition-based internals [6]. Coordination of
logistics and safe access are simplified thanks to the possibility of scheduling operations in advance.
maintenance: Via an efff ficient
monitoring system, when deterioration is detected or when a set of performance conditions is reached, maintenance is scheduled. This method requires an expensive monitoring system, but the downtime (time isn’t working) is
during which the wind turbine
minimized. There is still no fully mature applicat ion of this strategy in the offshore wind sector
o [7].
Most of the existing offshore wind farms have adop failure
based maintenance strategy with
pted a r egular
preventive maintenance tasks (once or twice a year, in July or in October & May). This reactive response is not cost-effectiv
ve for large offshore wind farms locatted far
majority of Round 3 wind farms. As O&M presents of the total electricity production costs (versus 7% for onshore wind farms)[9], it is of high importanc ve O&M strategy is selected early o n and feasibility analysis of the potential
ce that cost-effectiv included in early
offshore wind farm development. 3.2
UCL TOOL
With this aim, an offshore wind farm O&Mtool was developed at UCL as a 6 month MSc individual project [8]. The purpose of the tool is to assess various O&M strategies and marine support strategies to find the most cost-effective solution for any specific offshore wind farm development. Furthermore the tool can be u sed to
away from the shore which will be the case for the s 30%
highlight early the possible beneficial offshore wind farm ze, layout etc.) that will le ad
configuration parameters (siiz
to a significant reduction of the O&M costs. based on
The UCL model was condition-bas ed
maintenance (although failure based maintenance was also simulated for comparison) and the information us ed by
pa requirements
y the model is outlined in Figure 2, showing inpu outputs and constraints considered. Based on the input arameters and within the given constraints, the code c an give high level estimate of the O&M costs as well as estimate unplanned maintenance suggest preferable marine
uts, and
effective maintenance strategy was built steps: The initial step wa
support strategy. A co st- through three
as to assess a failure-bas ed
maintenance strategy, then the approach was improved by ba
The input can allow for variiation in wind farm type, size and shape, the distance fro reliability (the failure
maintenance cost, the faillu
y implementing both a grouping strategy and condition- ased maintenance.
om the shore, wind turbi ne distribution was defined as an
exponential distribution), the energy generated by a wind turbine over one year. The output parameters are the ure rates and types to be
expected, suggested vessell types to be used and an estimate of the energy production for the given period. As limited data was available for existing and future offshore wind farm developments, they were modell ed using approximations based on the available information. This is commensurate with the purpose of the tool to pe
erform high-level evaluations of different scenarios for the early development phase
es of an offshore wind farm.
Figure 2: UCL Model SADT Diagram (after [8])
© 2015: The Royal Institution of Naval Architects
C-13
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