Zaaijer maintenance model

The overview Model for Zaaijer's maintenance model

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Has parts 37

average work in progress time for lifting activities
downtime due to failures of type j during storm and catch-up period
downtime due to preparation for type j in storm and catch-up period
downtime due to waiting for lifting equipment
downtime due to waiting list in steady state
downtime during preparations for failures of type j in steady state
downtime during preventive maintenance
downtime during work in progress for failures of type j in steady state
downtime of failures of type j that happen during a storm
downtime of previously failed turbines during batch i
downtime of turbines that fail during batch i
duration of repair batch i
expected downtime due to failures of type j during storm and catch-up period
expected number of failures of type j during steady state
expected number of failures of type j during storm and catch-up period
number of failures of type j
number of failures of type j , after storm
number of failures of type j during repair batch i
number of failures of type j during repair batch i 2
number of failures of type j during storm and catch-up period
number of failures that require lifting equipment
number of mobilisations of lifting equipment for n repairs
number of operational turbines during the steady state
number of storms during lifetime of wind farm
number of turbines with failures of type j at start of repair batch i
number of vessels
probability of being down and on the waiting list during steady state
probability of mobilising hoisting equipment for n repairs
storm fraction
storm length
total downtime
total downtime assigned to failures of type j
total steady state time
total time of access vessel rental per year
total time that lifting equipment is in the wind farm per year
Weibull scale factor for storm length
work in progress time of all preventive maintenance actions

Has inputs 29

crew deployment efficiency
distance from harbour to boundary of wind farm
exponent of storm fraction function
exponent of storm length function
number of crews per shift
number of failures of type j
number of passengers per vessel
number of people per crew
OWF design life
set of WT failures
set of WTs
shift duration
shift interval
significant wave height
significant wave height for accessibility with reference access method
speed of vessel
storm fraction for reference access method
time for ordering of spare parts for WT failure
time needed for mobilising lifting equipment
waiting time before ordering lifting equipment
Weibull scale factor for storm length for reference access method
Weibull shape factor for storm length
working hours per preventive maintenance action
WT failure diagnosis time
WT failure MTBF
WT failure repair lifting requirement
WT failure repair time
WT position
WT service interval

Has outputs 4

equivalent availability factor
total time of access vessel rental per year
total time that lifting equipment is in the wind farm per year
work in progress time of all preventive maintenance actions

Includes 1

lifetime number of preventive maintenance actions

References

PhD Thesis 'Great expectations for offshore wind turbines'. Michiel Zaaijer, 2013, pp. 239-243.

Contributed by

S. Sanchez Perez Moreno (TU Delft), E.R.G. Quaeghebeur (TU Delft)

Cite the database: Quaeghebeur, E., Sanchez Perez-Moreno, S., and Zaaijer, M. B.: WESgraph: a graph database for the wind farm domain, Wind Energ. Sci., 5, 259–284, 2020. doi:10.5194/wes-5-259-2020

This page: https://wesgraph.anemona.io/concept/zaaijer-maintenance-model/