Vietnam Wind Power Conference, Hanoi · the wind speed, TI, shear, veer etc. in that particular moment. • In practice this will mean different reductions for a specific wind speed

© Siemens Gamesa Renewable Energy S.A Onshore Global Marketing Department | Confidential

Vietnam Wind Power Conference, HanoiO&M to optimize turbine output

June 2019


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


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

4 © Siemens Gamesa Renewable Energy, 2019

The Digital Services are focused on Remote Services and Upgrades, and are designed to support the evolution of maintenance strategies…

Upgrades

4


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

Examples of solutions to CONTROL YOUR COST


Maintenance

Upgrades

Protection


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 7


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


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


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


11

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)


12

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.



D (Damage according to baseline)

Fatigue D

am

age

Tiempo20yTodayt0


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)


13

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.


Time20yTodayt0


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 (Damage according to baseline)(1)

(2)

Examples of solutions to MITIGATE YOUR RISKS


Maintenance

Upgrades

Protection


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

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

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

Examples of solutions to MAXIMIZE YOUR REVENUE


Maintenance

Upgrades

Protection


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


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


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

19


Thank you!

Documents

Vietnam Wind Power Conference, Hanoi · the wind speed, TI, shear, veer etc. in that particular moment. • In practice this will mean different reductions for a specific wind speed