Vietnam Wind Power Conference, Hanoi · the wind speed, TI, shear, veer etc. in that particular...
Transcript of Vietnam Wind Power Conference, Hanoi · the wind speed, TI, shear, veer etc. in that particular...
© Siemens Gamesa Renewable Energy S.A Onshore Global Marketing Department | Confidential
Vietnam Wind Power Conference, HanoiO&M to optimize turbine output
June 2019
© Siemens Gamesa Renewable Energy S.A Onshore Global Marketing Department | Confidential
Global power generation additions until 2040 to exceed total existing installed base
2The transforming energy system
▪ Global population and GDP growth driving
higher energy consumption
▪ Retirements of old capacity triggering need of
additional new installations
▪ Clear electrification trends, e.g. transportation
▪ New installations to surpass existing
accumulated capacity
▪ Global investment until 2040: ~10 $T2
Retirements
2017-2040
Total Power
Generation
Capacity 2016
2,400
7,700
Total Power
Generation
Capacity 2040
New Capacity
Installations
2017-2040
6,700
12,00x1.1
Fu
nd
am
en
tals
Imp
licati
on
s
Global power generation capacity (in GW)1
1 IEA WEO 2017 (New Policies Scenario) 2 BNEF NEO 2017, in real $T
© Siemens Gamesa Renewable Energy S.A Onshore Global Marketing Department | Confidential
Wood Mackenzie: Unplanned repairs will cost the global wind power industry more
than $8 billion in 2019
Limiting down-time is essential to the business case
1
1 Wood Mackenzie May 2019: “Digital technology in wind power operations and maintenance”
➢ Component failures are a fact of life for
every asset owner
➢ Global onshore wind O&M costs will reach
nearly $15 billion in 2019. Of that number,
57% - or $8.5 billion – will be spent on
unplanned repairs and correctives caused
by component failures.
➢ OEMs and asset owners increasingly
dedicate resources and strategy to reduce
the frequency of unplanned failures
3
Reactive
Proactive
Condition-based
Predictive
Prescriptive
Remote
Services
Evolution of digital asset management
A shift in paradigm
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The Digital Services are focused on Remote Services and Upgrades, and are designed to support the evolution of maintenance strategies…
Upgrades
4
© Siemens Gamesa Renewable Energy S.A Onshore Global Marketing Department | Confidential
The digital transformation
1 Wood Mackenzie May 2019: “Digital technology in wind power operations and maintenance”
Wood Mackenzie: Digital technologies may be a solution to reducing O&M costs
Technology Use of examplesTechnological
readiness
Commercial
readiness
ERP Spares and logistics optimization, technician dispatch
Machine learningArtificial intelligence based yaw and blade-pitch
misalignment correction
Data analytics
platformsComponent, turbine, and site performance analysis
Digital twinsPhysics based simulations of components or entire turbine
models
Production forecast Energy production forecasts, revenue forecasting
Autonomous
inspectionUAV inspection drones, blade repair bots
CMS Component early failure detection and remote monitoring
1
5
The objective is to improve and secure your business case
CONTROL YOUR COST MAXIMIZE YOUR REVENUE
Maintenance
Upgrades
Protection
LogisticsDiagnostics
Know How Modules
Packages
One
For AllBlade
inspectionRepair
services
Energy
Thrust
Overhaul
Life
Extension
Logistics
Right
protection
The
Service you
need
RDS
Smart
Fleet®
Training
O&M
document
ation
MITIGATE YOUR RISKS
Maritime
Solutions
Asset management
6 © Siemens Gamesa Renewable Energy, 2019
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Examples of solutions to CONTROL YOUR COST
CONTROL YOUR COST MAXIMIZE YOUR REVENUE
Maintenance
Upgrades
Protection
LogisticsDiagnostics
Know How Modules
Packages
One
For AllBlade
inspectionRepair
services
Energy
Thrust
Overhaul
Life
Extension
Logistics
Right
protection
The
Service you
need
RDS
Smart
Fleet®
Training
O&M
document
ation
MITIGATE YOUR RISKS
Maritime
Solutions
7 © Siemens Gamesa Renewable Energy, 2019
Asset management 7
© Siemens Gamesa Renewable Energy S.A Onshore Global Marketing Department | Confidential
Example: WindCommand
Innovative Fatigue Management 8
Combining data with know-how
➢ Structural fatigue assessment
(knowledge-driven)
➢ Wind turbine health assessment through CMS
(data-driven)
➢ Reliability assessment based on Operational experience
(statistical-driven)
➢ Condition assessment based on local inspections
(empirical evidence)
Understand your assets
1 RUL: Remaining Useful Lifetime
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How to assess the RUL (Remaining Useful Lifetime) according to SGRE
WindCommand Fatigue Management 9
Horizon for prediction
Uncertainty @WTG
Assessment
‘To be’Low uncertainty & Long term
prediction
• Few main components
with CMS tech
available
• Data volume
• Failure traceability
• Human errors
• Material science
• Not accessible areas
• Inputs used
• Model used
• Control used
• Material Admissible
• Methodology used
Inspections
Statistics
Condition Monitoring
Systems
Analytical Assessment
Windcommand - Fatigue Management
© Siemens Gamesa Renewable Energy S.A Onshore Global Marketing Department | Confidential
Uncertainty Management
WindCommand Fatigue Management 10
Wind Field Characterization
• Main Wind characteristics estimators;
Turbulence Intensity, Wind Speed, Air Density
Aerolastical Code and WTG Control
• State of art in modeling, used for original
design creation
Admissible limit for material used
• New S-N Curves based on real tests
Methodology for the assessment
• Damage assessment real time Time
Dam
age
Uncertainty
Real Comp
Admissible
Certification
criteria
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MVP (Minimum Viable Product) description:
• The system will be able to track the fatigue damage evolution, in recurrent basis (on-line), without
impact in CAPEX for the assets.
WindCommand – General Vision
WindCommand Fatigue Management
Fatigue D
am
age
Time20yTodayt0
Design Margin
PotentialLife Ext.
D=1 (Design Criteria)
D (Damage according to baseline)
© Siemens Gamesa Renewable Energy S.A Onshore Global Marketing Department | Confidential
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Advanced functionality description:
• The system will be able to identify the time (t) when, after a performance improvement applied, it will
be needed to switch to a fatigue reduction mode in order to keep the original design risk, achieving
the end of the predefined operational period.
WindCommand – General Vision
D=1 (Design Criteria)
D (Damage according to baseline)
Fatigue D
am
age
Tiempo20yTodayt0
WindCommand Fatigue Management
Damage evolution according to the baseline
t
Fatigue Damage evolution based on new operational strategy (SW/HW Upgrades (1)+ Loads Reduction Mode (2))
Operational Strategy proposed:
• HW/SW Upgrades (1)
• @t switch to load reduction mode (2)
• Revenue increase by comparison:
New control strategy (1+2) vs Baseline
(1)
(2)
© Siemens Gamesa Renewable Energy S.A Onshore Global Marketing Department | Confidential
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Advanced functionality description:
• The system will be able to identify the time (t) when a load reduction mode should be applied in order
to keep the original design risk, achieving the end of a new lifetime required.
WindCommand – General Vision
Time20yTodayt0
WindCommand Fatigue Management
Damage evolution according to the baseline
t
Fatigue Damage evolution based on initial operational mode (1)+ Loads Reduction Mode (2))
Operational Strategy proposed:
• Initial Operational Mode (1)
• @t switch to load reduction mode (2)
• Revenue increase by addition:
New control strategy (1+2)
>20y
Fatigue D
am
age
D=1 (Design Criteria)
D (Damage according to baseline)(1)
(2)
Examples of solutions to MITIGATE YOUR RISKS
CONTROL YOUR COST MAXIMIZE YOUR REVENUE
Maintenance
Upgrades
Protection
LogisticsDiagnostics
Know How Modules
Packages
One
For AllBlade
inspectionRepair
services
Energy
Thrust
Overhaul
Life
Extension
Logistics
Right
protection
The
Service you
need
RDS
Smart
Fleet®
Training
O&M
document
ation
MITIGATE YOUR RISKS
Maritime
Solutions
Asset management
14 © Siemens Gamesa Renewable Energy, 2019
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Fleet Analysis: Advanced data-driven digitalization
Digital Services & Solutions
SGRE Diagnostic Center in DK and Re-
mote Monitoring Centers in UK and ES
~28,000Globally monitored
wind turbines
>200 GB/dayreceived data from
numerous sensors
24/7center manned
all day – every day
>85%of issues can
be resolved
remotely
98%of serious component
failures detected
in advance
DomainWind farm insights
and more than two
decades of experience
15 © Siemens Gamesa Renewable Energy, 2019
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SGRE can provide quick scan of global fleet of SGRE turbines as a preventive measure for fleet
wide irregularities/early damage detections.
SGRE Vibration Based CMS carries out early detection of slow developing damage allowing for
optimized service planning (e.g. mobilization of crane) reducing downtime, service cost and
increases turbine output.
SGRE TCM and Vibration Based CMS is certified by Germanischer Lloyd providing you with a 3rd
party quality stamp of our capabilities.
With an SGRE Vibration Based CMS service in place insurance companies will often allow for better
insurance conditions for your wind farm.
SGRE Vibration Based CMS carries out early detection of fast developing damage, resulting in
preventive repair of components and prevention of fatal breakdown and consequential downstream
damage.
SGRE offering world-class vibration diagnostic capabilities
Example: Vibration Based Condition Monitoring
Digital Services & Solutions
16 © Siemens Gamesa Renewable Energy, 2019
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Examples of solutions to MAXIMIZE YOUR REVENUE
CONTROL YOUR COST MAXIMIZE YOUR REVENUE
Maintenance
Upgrades
Protection
LogisticsDiagnostics
Know How Modules
Packages
One
For AllBlade
inspectionRepair
services
Energy
Thrust
Overhaul
Life
Extension
Logistics
Right
protection
The
Service you
need
RDS
Smart
Fleet®
Training
O&M
document
ation
MITIGATE YOUR RISKS
Maritime
Solutions
Asset management
17 © Siemens Gamesa Renewable Energy, 2019
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© Siemens Gamesa Renewable Energy S.A Onshore Global Marketing Department | Confidential
Example: Adaptive Control Strategy
Innovative load mitigation solution 18
Intelligent software feature
➢ Software functionality that can be installed remotely
on each turbine in the wind farm, and operated and
controlled at turbine level
➢ The technology assesses the turbine’s loads and can
provide load alleviation in all wind directions. It is
only activated if conditions are exceeding design
limitations
➢ This leads to lower curtailment level compared to the
standard fixed curtailment, hence less production loss
➢ ACS can be used to extend the lifetime of the
turbine under site-specific conditions
Maximizing energy production on complex sites
© Siemens Gamesa Renewable Energy S.A Onshore Global Marketing Department | Confidential
How it improves the business case: ACS Power curve
Innovative load mitigation solution
• ACS loss curve being estimated during site
assessment.
• The ACS reduction in a given moment will
depend on the loads (as deducted from the
accelerations) and the loads in turn depend on
the wind speed, TI, shear, veer etc. in that
particular moment.
• In practice this will mean different reductions for
a specific wind speed e.g. depending on wind
direction.
• The loss curve(s) express the long term average
power reduction at the different wind speeds.
AEP: 13121 MWh & Loss : 8.2%
Traditional Sector Management
AEP: 14189 MWh & Loss : 0.73%
Adaptive Control Strategy
Annual Energy Production - Net : 14293 MWh
Turbine Model – SWT-DD-130 | Number of turbines – 22
-1000
0
1000
2000
3000
4000
5000
3 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 2 0 2 1 2 2 2 3 2 4 2 5 2 6 2 7 2 8
PO
WE
R [K
W]
WIND SPEED [M/S]
Power Cruve[kW]
ACS Loss Curve[kW]
ACS Power Cruve[kW]
~7.5% Customer
Gain Using ACS
Empowering your business case
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