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© 2019 Fraunhofer IWES 1© 2019 Fraunhofer IWES 1© 2020 Fraunhofer IWES 1
Kaczenski, Jonas & Schnackenberg, Marco
Offshore TIMESSimulation of logistics concepts for O&M of offshore wind farms
08.07.2020
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2© 2019 Fraunhofer IWES 2© 2019 Fraunhofer IWES 2© 2020 Fraunhofer IWES
The Why?O&M costs O&M logistics processes & costs
01
The How?Simulation of the logistics processesInterpretation of the Simulation Results
02
The And?Conclusion03
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3© 2019 Fraunhofer IWES 3© 2019 Fraunhofer IWES 3© 2020 Fraunhofer IWES
The Why?O&M costs of an offshore wind farm
34 % O&M CostsSignificant impact on the profitability of offshore wind projects
O&M CostsO&M logistics processes and downtimes of the wind turbines are main cost drivers
Source: NREl 2019
34 %Operation & Maintenance
37%Balance of Plant
19%Turbine
Offshore WindProject Costs
10%Soft Costs
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4© 2019 Fraunhofer IWES 4© 2019 Fraunhofer IWES 4© 2020 Fraunhofer IWES
The Why?O&M logistics processes
Source: NREl 2019
OFFSHORELOGISTICS
Transport: Equipment, Personnel and Spare Parts
incl.Calendar Based MaintenancePreventive MaintenanceCondition Based Maintenance
Corrective Maintenance Action for large component replacements
PLANNEDMAINTENANCE
UNPLANNEDMAINTENANCE
LARGE COMPONENTREPLACEMENTS
Medium to long term planningSmall „Loss of production“Prediction of remaining component life timetechnology and preventive costsBest practice approach
Depending on cause planned/ unplanned maintenanceInvolve Large/ Expensive Equipment/ VesselsHigh Potential „Loss of Production“
Short Term reaction requiredLimited planning timeWaiting time for spare partsMedium to High „Loss of Production“Depending on failure ratesC
HA
RA
CTE
RIS
TIC
SD
ESC
RIP
TIO
N
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5© 2019 Fraunhofer IWES 5© 2019 Fraunhofer IWES 5© 2020 Fraunhofer IWES
The Why?O&M logistics costs
Operating from a port base
Workboats with support from helicopters
With fixed or floating offshore structure
WORKBOAT-BASED HELI-SUPPORT OFFSHORE BASED
LIM
ITS
1 PLEASE REFER TO “A GUIDE TO UK OFFSHORE WIND OPERATION AND MAINTENANCE” (2013) INCLUDINGTHE USED KEY VISUALS
DISTANCE TO O&M PORT
HS = 1,5m; U = 10m/sWave direction, swellCosts: 1.500 … 3.500 €/d
www.pomaritime.com
U = 20m/sVisibility, clouds, daylightCosts: 48 … 55 €/min
HS = 3,0m, U = 15m/sWave direction, swellCosts: 20.000 … 30.000 €/d
www.fiberline.com www.siemens.com/windpower
UncertaintiesUncertainties about the accessibility, availability and feasibility of work
Logistics conceptCosts due to different vessels and numbers, as well as restrictions
Cost reduction through the optimizationof the O&M logistics
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6© 2019 Fraunhofer IWES 6© 2019 Fraunhofer IWES 6© 2020 Fraunhofer IWES
Virtual test system for O&M concepts
The How?Offshore TIMES - Offshore Transport, Inspection and Maintenance Simulation
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7© 2019 Fraunhofer IWES 7© 2019 Fraunhofer IWES 7© 2020 Fraunhofer IWES
The How?Schematic principle of simulation of the operation and maintenance phase
Wea
ther
an
d E
nvi
ron
men
tal c
on
dit
ion
s
Definition of the Infrastructure- Layout, Infrastructure location
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8© 2019 Fraunhofer IWES 8© 2019 Fraunhofer IWES 8© 2020 Fraunhofer IWES
The How?Schematic principle of simulation of the operation and maintenance phase
Wea
ther
an
d E
nvi
ron
men
tal c
on
dit
ion
s Reliability Module- OWF – Components- Reliability Models - Locations
Normal Operation OWF- Wind Turbine Control/ Components
Definition of the Infrastructure- Layout, Infrastructure location
Weather ConditionsEarnings
Loads
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9© 2019 Fraunhofer IWES 9© 2019 Fraunhofer IWES 9© 2020 Fraunhofer IWES
The How?Schematic principle of simulation of the operation and maintenance phase
Wea
ther
an
d E
nvi
ron
men
tal c
on
dit
ion
s Reliability Module- OWF – Components- Reliability Models- Locations
LogisticConcept/Infrastructure
Normal Operation OWF- Wind Turbine Control/ Components
Personnel
Spare Parts
Vessels
Weather ConditionsEarnings
Loads
Resources
Definition of the Infrastructure- Layout, Infrastructure location
Approach to optimization
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10© 2019 Fraunhofer IWES 10© 2019 Fraunhofer IWES 10© 2020 Fraunhofer IWES
The How?Schematic principle of simulation of the operation and maintenance phase
Wea
ther
an
d E
nvi
ron
men
tal c
on
dit
ion
s Reliability Module- OWF – Components- Reliability Models- Locations
LogisticConcept/Infrastructure
Maintenance Works (simulated)
Normal Operation OWF- Wind Turbine Control/ Components
Personnel
Spare Parts
Vessels
Weather ConditionsEarnings
AccessibilityDuration
Loads
rese
rve/
rel
ease
R
eso
urc
es +
Pro
per
ties
Exec
ute
d
Wo
rk
Resources
Definition of the Infrastructure- Layout, Infrastructure location
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11© 2019 Fraunhofer IWES 11© 2019 Fraunhofer IWES 11© 2020 Fraunhofer IWES
The How?Schematic principle of simulation of the operation and maintenance phase
Wea
ther
an
d E
nvi
ron
men
tal c
on
dit
ion
s Reliability Module- OWF – Components- Reliability Models- Locations
LogisticConcept/Infrastructure
Control Center- Decision Center- Resource Planning
Maintenance Works (simulated)
Normal Operation OWF- Wind Turbine Control/ Components
Personnel
Spare Parts
Vessels
Weather ConditionsEarnings
AvailabilityProperties
Weather Forecast
AccessibilityDuration
Loads
Work Order
rese
rve/
rel
ease
R
eso
urc
es +
Pro
per
ties
Exec
ute
d
Wo
rk
Resources
Definition of the Infrastructure- Layout, Infrastructure location
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12© 2019 Fraunhofer IWES 12© 2019 Fraunhofer IWES 12© 2020 Fraunhofer IWES
The How?Schematic principle of simulation of the operation and maintenance phase
Wea
ther
an
d E
nvi
ron
men
tal c
on
dit
ion
s
Fin
anci
al M
od
el/ E
ng
inee
rin
g-C
apex
, Op
ex, F
inan
cin
g-I
nco
me
and
Pro
fit
Reliability Module- OWF – Components- Reliability Models- Locations
LogisticConcept/Infrastructure
Control Center- Decision Center- Resource Planning
Maintenance Works (simulated)
Normal Operation OWF- Wind Turbine Control/ Components
Personnel
Spare Parts
Vessels
Weather ConditionsEarnings
IncomeOperational Cost
AvailabilityProperties
Operation TimeCosts
Weather Forecast
AccessibilityDuration
Loads
Work Order
rese
rve/
rel
ease
R
eso
urc
es +
Pro
per
ties
Exec
ute
d
Wo
rk
CA
PEX
Gen
eral
Op
erat
ion
lCo
sts
Resources
Definition of the Infrastructure- Layout, Infrastructure location
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13© 2019 Fraunhofer IWES 13© 2019 Fraunhofer IWES 13© 2020 Fraunhofer IWES
Layout: Amrumbank West
80 WTG
Weather data: ERA 5 (2008-2017)
Reliability model FhG IEE (WindPool)
Base port: Heligoland
Logistic concept: 2 CTVs
The How?Reference Offshore-Windfarm : Amrumbank West
Base port: Heligoland
OWP: Amrumbank West
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14© 2019 Fraunhofer IWES 14© 2019 Fraunhofer IWES 14© 2020 Fraunhofer IWES
Off
sho
re T
IMES
–Si
mu
lati
on
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15© 2019 Fraunhofer IWES 15© 2019 Fraunhofer IWES 15© 2020 Fraunhofer IWES
The How?Comparison of energy production of different logistics concepts – example results
2009 2010 2011 2012 2013 2014 2015 2016 2017
Scenario: 2 CTVs
Project durationEn
erg
yp
rod
uct
ion
pe
r tu
rbin
e[M
Wh
]
Scenario: 4 CTVs
Legend:2 CTV 4 CTV P5 – P95 P50
Failure Example
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16© 2019 Fraunhofer IWES 16© 2019 Fraunhofer IWES 16© 2020 Fraunhofer IWES
OffshoreTIMES is a modular simulation tool which can be adapted to the customers needs
Logistics concept optimization of offshore wind farms
Comparison of logistic concepts
Innovation assessment and their impact on the O&M processes
The And?Conclusion & the use of Offshore TIMES
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17© 2019 Fraunhofer IWES 17© 2019 Fraunhofer IWES 17© 2020 Fraunhofer IWES
Thanks a lot for your attention!
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18© 2019 Fraunhofer IWES 18© 2019 Fraunhofer IWES 18© 2020 Fraunhofer IWES
Federal Republic of Germany
Federal Ministry for Economic Affairs and Energy
Federal Ministry of Education and Research
European Regional Development Fund (ERDF):
Federal State of Bremen
Senator of Civil Engineering, Environment and TransportationSenator of Economy, Labor and PortsSenator of Science, Health and Consumer ProtectionBremerhavener Gesellschaft für Investitionsförderung und Stadtentwicklung mbH
Federal State of Lower Saxony
Free and Hanseatic City of Hamburg
AcknowledgementsFraunhofer IWES is funded by:
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