© Copyr i gh t 2014 O SIs o f t , LLC .
Presented by
Wind
Energy
Management
System
Sérgio Pereira
Nuno Ferreira
Powered by PI System Infrastructure
© Copyr i gh t 2014 O SIs o f t , LLC .
Agenda
1. EDP Renewables and CGI Presentations
2. Background
3. Architecture
4. Challenge
5. Problems
6. Solutions
7. Results & Benefits
8. Conclusions
2
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EDP Renewables
EDP Renewables (Euronext: EDPR) is a leading, global renewable energy company devoted to value
creation, innovation and sustainability. The company operates in markets around the globe and is
continuously expanding its business to new regions, making the commitment to lead in each market as
well as create value for its stakeholders and shareholders.
3
EDPR is committed to operational excellence through
high-quality assets and attractive markets which
provide highly attractive possibilities, principally due to
their growth prospects and stable regulatory structure
that permit profit generation.
© Copyr i gh t 2014 O SIs o f t , LLC .
is a global end-to-end IT and business
process services leader
4
* Before Logica
World’s 5th largest independent IT and BPS firm
10,000 clients across
the globe
69,000 professionals,
85% shareholders*
High-end business
and IT consulting
100+ mission-critical
IP-based solutions
$10B annualized
revenue
400 offices,
40 countries around
the world
System integration, IT
and business process
outsourcing
Client satisfaction:
9.1/10
© Copyr i gh t 2014 O SIs o f t , LLC .
Wind Energy Management System - Background
5
Oporto
Oviedo
Houston
• 270 wind farms
• 6050 wind turbines
• 2 continents
• 10 countries
• 13 turbine suppliers
• 41 turbine models
• Oporto Dispatch Center
• Oviedo Dispatch Center
• Houston Dispatch Center
© Copyr i gh t 2014 O SIs o f t , LLC .
Wind Energy Management System - Architecture
6
Oviedo
Dispatch Center
Oporto
Dispatch Center
Houston
Dispatch Center
Central
PI System
PI Interface
DDC Node
PI Advanced
Computing Engine
3,6 M tags
PI System Access
Application
PI Clients
270 wind farms 3 Dispatch Centers
© Copyr i gh t 2014 O SIs o f t , LLC .
Challenge
How to improve the availability
reporting accuracy and, at the same
time, help reduce downtimes?
7
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Problems
1. Mixing apples and potatoes (availability inputs)
2. The supplier’s numbers (availability calculation)
3. Turbines are stopped – so what? (measuring
impacts)
4. Bad data is no good, no data is worse (data
quality)
8
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Problem 1 – Mixing apples and potatoes
9
Time when a Turbine is Available
Total Operation Time
Availability:
… but different turbine suppliers use different inputs
Which inputs drive Turbine Availability?
Supplier A: Generating Status.
Supplier B: Connection Status
Supplier C: Restriction Status
There is a global definition for turbine availability…
© Copyr i gh t 2014 O SIs o f t , LLC .
Problem 2 – The supplier’s numbers
10
… but they can’t be compared or used to determine a
global value
Suppliers throw in their turbine availability numbers…
+ + =
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Problem 3 – Turbines are stopped – so what?
11
Time-based availability accounts for downtime…
75
80
85
90
95
100
1 2 3 4 5 6 7 8
TB
Avail
ab
ilit
y [
%]
Downtime
STOP
STOP
… but does not give information on energy losses.
0
0.2
0.4
0.6
0.8
1
1.2
1 2 3 4 5 6 7 8
?
Energy Losses
© Copyr i gh t 2014 O SIs o f t , LLC . 12
Problem 4 – Bad data is no good, no data is worse
… but often data is lost due to maintenance operations
Good field data is crucial for availability calculations…
0 50 100
Downtime [h]
0 1 2
Downtime
0 50 100
Downtime [h]
10
1
1
00
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Solution 1 – Build global, normalized availability inputs
13
On
Online
Standby
Paused
Free
Off
Down
Offline
Low Wind Speed
Supplier
A
Supplier
B
Supplier
C
Supplier Status WEMS Status Availability Inputs
On
Online
Free
Standby
Paused
Low Wind Speed
Off
Down
Offline
WTG Running
WTG Ready
WTG Stopped
…
+
WTG knowledge
Field Events
Fault Lists
Substation Data
…
Additional Info
WTG Running
WTG Curtailed by Owner
WTG Curtailed by TSO
WTG Ready (Ice on Blades)
WTG Stopped for Converter Repair (Supplier)
WTG Stopped for Gearbox Retrofit (Owner)
WTG Stopped for Nacelle Problem (Supplier)
WTG Ready (Grid Unavailable)
WTG Ready (Low Wind Speed)
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96,86 %96,86 %
97,72 %
Calculation Engine
Calculate
Solution 2 – Measure different availability concepts
14
Wind farm
A
Wind farm
B
Wind farm
C
Suppliers
Availability
Supplier
SCADA
Contractual
Availability
Technical
Availability
Contractual
Delta
95,67 %
98,51 %
99,36 %
97,45 %
97,72 %
99,86 %
99,45 %
98,72 %
PI System
Collect Data
Wind Energy
Management System
99,86 %
99,45 %
98,72 %
97,45 %
-
-
-
-3,00 %
-2,00 %
-1,00 %
97,85 %
© Copyr i gh t 2014 O SIs o f t , LLC .
Solution 3 – Use all available sources for calculations
15
75
80
85
90
95
100
5 10 15 20 25 30 35 40
Pro
du
cti
on
Based
A
vail
ab
ilit
y [
%]
Energy Losses [MWh]
Substation
Meteorological
Station
WTG 3
WTG 2
WTG 1
75
80
85
90
95
100
1 2 3 4 5 6 7 8
Tim
e B
ased
A
vail
ab
ilit
y [
%]
Downtime
STOP
10
1
1
00
10
1
1
00
10
1
1
00
10
1
1
00
© Copyr i gh t 2014 O SIs o f t , LLC .
Solution 4 – Let users play a role in data improvement
16
0 1 2
Downtime
0 50 100
Downtime [h]
10
1
1
00
PI Performance
Equations
PI System
Access
PI Advanced
Computing Engine
© Copyr i gh t 2014 O SIs o f t , LLC .
Results & Benefits
17
Results are calculated
on independent data,
collected directly from the
field
Automatic correction and
manual validation
increase the accuracy of
availability results
Better prioritization of
improvement actions,
towards a decrease of
downtimes and increase
of revenues
Reliability Veracity Profitability
© Copyr i gh t 2014 O SIs o f t , LLC .
Conclusions
18
Field Data
• PI Server: field data repository and
direct source of operational
informationPI Server
PI System Access PI Advanced
Computing Engine
validate
collect
correct
audit
Operational info
• PI Advanced Computing Engine and
PI System Access as enablers of a
Data Governance strategy
• Benefits in availability are proportional to
the size of the renewable assets
portfolio h €
© Copyr i gh t 2014 O SIs o f t , LLC .
• Reliability – results are based on
data brought straight from the field
• Veracity – more accurate values
after manual correction
• Revenues – better definition,
prioritization and return of
improvement actions
Solution Results and Benefits
WEMS - Information and tools to optimize the
management of EDP-Renewables assets
Business Challenge
• Improve availability reporting
accuracy
• Reduce wind turbine downtimes
• Comprehensive real-time data
collection using the PI System
• A mix between automatic data
processing and distributed manual
inputs
• Setting a single platform to manage EDP Renewables’ portfolio
• Integrated operation and performance management in real time
• Centralized operation of wind turbine generators, lines and substations,
complying with grid operators requirements
• Costs and Operational risks reduction
• Increasing renewable assets availability and reducing downtimes.
19
© Copyr i gh t 2014 O SIs o f t , LLC .
Sérgio Pereira
• Lead Engineer
• EDP Renewables
20
Nuno Ferreira
• Consultant Coordinator
• CGI
© Copyr i gh t 2014 O SIs o f t , LLC . 21
Questions
Please wait for
the microphone
before asking
your questions
State your
name &
company
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