Transcript Denver Seminar Wind Power

Denver Regional Seminar
Wind Power Discussion
[email protected]
September 23, 2008
© 2008 OSIsoft, Inc. | Company Confidential
A Typical Modern Wind Turbine
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There are four main categories/classes of wind turbines supplied
today, generally considered 4th or 5th generation technology
The “Mainstream” and “MW-Class” turbines are primarily
installed in on-shore environments
The “Multi-MW Class” are targeted for offshore environments
From a data perspective, they are nearly identical, just different
scale
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A Typical Modern Wind Turbine
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Vestas V80 – 2MW Wind Turbine
Rotor Diameter – 80 meters
Hub Height – 70 meters
Weights – Blades 6.5 Tons, Nacelle
79 Tons
Wind Speeds:
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Cut-in = 4 meters/second
(8.95mph/Class 3 “Beaufort” Gentle
Breeze)
Rated Output = 13 meters/second
(29.08mph/Class 6 “Beaufort” Strong
Breeze
Cut-out = 25 meters/second
(55.923mph/Class 10 “Beaufort” Whole
Gale)
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A Typical Modern Wind Turbine The Data Perspective
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Turbine Controller/PLC provides between
350-1200 tags, dependent upon what
manufacturer “publishes” in protocol.
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Mostly digital, typically approximately 50-60
Analog values
Some manufacturers publish controller
protocols (e.g. Mitsubishi). Others consider
highly proprietary (GE, Suzlon, Vestas,
Siemens, Gamesa)
Most Manufacturers require their SCADA for
warranty:
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GE, Bonus/Siemens, Vestas, Gamesa,
Suzlon. Mitsubishi is the exception
Typically provide customers access to postprocessed 10-minute records in
SQL/Access.
Some offer subset of data in OPC-Server
capabilities (for additional cost) for
customers that want real-time high-res data
(e.g. GE, Vestas, Bonus)
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A Typical Modern Wind Turbine
The Data Perspective – “@ the Farm”
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13 of top 15 Owner/Operators
using PI to Manage Wind Farms
4500
4300
5000
4434
MW Capacity EOY 2006
4000
3133
3500
Iberdrola (ES)
FPL (US)
Acciona (ES)
3000
Babcock Brown Windpartner (AUS)
534
Eurus Energy Holding (JP)
600
724
790
824
840
Endesa (SP)
849
1000
1010
1500
Scottish Power/PPM (UK)
1324
1500
1593
2000
1631
2500
EDP (Portugal)
Shell Renewable (NL)
500
Essent/Nuon (NL)
0
Horizon (US)
EDF (FR)
Dong (DK)
Enel (Italy)
Vattenfall (S)
Source: Emerging Energy Research
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Delivering Value to Wind Customers
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7200MWs in single WindCORE – going global…
Centralized M&D Center with Control –
coordinated with Grid Operator – RED Electrica
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>5000MWs in Centralized M&D Center
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Distributed Control approach
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500,000 data points in Center
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Developing M&D Center in Portugal for Global Assets
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Developing Operations Center – Bezier, France.
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US Subsidiary – ENXCO – Mirroring Ops Center
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Started with multiple SCADAs in central system
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Converting to PI – Pamplona, Spain
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@PPMEnergy (US subsidiary) – PI historian AREVA EMS
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Roll-in to WindCORE (Iberdrola system) – developing US
based CORE
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President of Spain @ Red Electrica
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Value Propositions
1.
Turbine Manufacturer Warranty Management
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2.
Increasing kWh produced – Wind Farm Operations
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3.
Turbine Availability
Turbine Operating Efficiency
Increasing value of kWh produced – Utility Operations
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4.
“Fox Watching the Hens”
“Bathtub Curve” Implications for LTSA Concept
Need: Focus on Top-Ten Sources
Improving utility integration (forecasting and scheduling)
Improving market value of power (real-time info to power marketing/trading
floor)
VAR/Grid Stability Management
“Intangibles” – Corporate Requirements
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Enterprise Integration,
Separation of Process Control Network from User/Enterprise
Regulatory & Reporting
Technology Risk Management – Perception and Reality
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Asset Management Value Proposition
Turbine Production Example
Annual Expected
Output (kWh)*
Busbar
Price
/kWh
Annual Cash
Flow per WTG
Hours
TurbineClass
(kW)
Capacity
Factor
Availability
8760
600
33%
100%
1,734,480
0.0425
$ 73,715.40
8760
1000
33%
100%
2,890,800
0.0425
$ 122,859.00
8760
1500
33%
100%
4,336,200
0.0425
$ 184,288.50
8760
2000
33%
100%
5,781,600
0.0425
$ 245,718.00
8760
2500
33%
100%
7,227,000
0.0425
$ 307,147.50
8760
5000
33%
100%
14,454,000
0.0425
$ 614,295.00
*Formula = Hours * Generator Capacity * Capacity Factor * Availability
•A typical utility scale wind farm may have 30 to 200 Turbines
•Large owners (e.g. Iberdrola – 3500MWs) may have thousands of turbines
•A single percentage point gain/loss of “in-market” availability (e.g. turbines available to operate when the
wind is blowing) for
•Iberdrola Total Fleet would result
•in a 1st Year ROI/loss of $4.3MUSD.
•NPV over 5 Years = $13.5MUSD @ 18% Discount Rate
•Based on US prices, power rate in Spain is .07 to .10/kWh produced
•For a Single Wind Farm of 150MWs:
•In a 1st year ROI of $185,000
•NPV over 5 years = $576,000 @ 18% Discount Rate
VALUE NOW, VALUE OVER TIME
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Solutions and Benefits
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Centralized monitoring and diagnostic centers
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Iberdrola’s WindCORE Project Benefits
Benefit Received
MW
3494
3494
Cost Model for WindCORE
System Cost
Variable Cost p.a.
Labor
Utilities/Rent
Total Cost
Net Present Value of Cost
Benefit
Net Present Value of Benefit
Payout per Dollar Spent
Capacity Factor
27.5%
27.5%
$
1,500,000.00
$
$
540,000.00
60,000.00
Availability
97%
98%
MWh Production
8164534.62
8248705.08
84170.46 MWh Gain from Availability Improvement
$
80.00 Feed In Tariff USD/MWh
$
6,733,636.80
Year 1
Year 2
Year 3
Year 4
Year 5
$
2,100,000 $
600,000 $
600,000 $
600,000 $
600,000
$3,638,108
$ 6,733,637 $ 6,733,636.80 $
6,733,636.80 $
6,733,636.80 $ 6,733,636.80
$
$25,525,781
7.02
•Cost Assumptions: Number of Wind Farms
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Unifying diverse portfolio
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“Down at the Farm”
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Power Plant on a Stick – Turbine View
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Down to the sensor level
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Reporting Ideas – Using DLES
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Reporting Ideas – Wind Rose Using DLES
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Reporting Ideas – RT Power Curves
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Real-time fleet-view (bearing temps)
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Utilizing Analytical/Contextual
Framework
e.g.Batch
Identification of Serial Issues,
Development of ACE Logic
(Exception Rules),
and Asset/CBM Management
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Monitoring “The Fleet” using Event Framing
Tools
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The following screens show 2 WTG’s of interest.
– 74-14 and the results are the first set of screens.
– 73-01 is a current situation.
– 600kW turbines located in California – 111 of these
units at wind farm.
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Screen Layout
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All Operating Temperatures in Fleet
- Identification of Anomalies
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74-14 Historical Scenario
– 74-14 has a consistently high “Drive Side” and NonDrive Side” Temperatures.
• Gear Box Temperature is consistent with its
neighbors.
• This is the Yellow trend line in the next 2 charts.
– The trend line ends because the WTG faults for
“Generator Temperature High”
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26 Degrees
20 Degrees
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Fault high Temp
74-14 Historical Scenario
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74-14 Significance
Date
Time
Hours
Lost
Production
Lost
Fault
5/5/04
19:15
11.90
6,627
Gen Temp High
5/9/04
20:29
11.93
7,200
Gen Temp High
5/16/04
18:25
17.32
10,297
Gen Temp High
6/29/04
16:14
382.57
157,665
Generator R&R, Gen
Alignment
7/16/04
6:43
1.05
700
Nacelle Reassembly
after R&R Gen
424.77
182,489
$10,024 lost revenue
from 1 turbine over 2
month period
Total
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74-14 Today – Baseline after R&R
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73-01 Current Comparison with 74-14
74-14 is new “baseline”
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Why 10 Minute records are not enough?
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Improving Utility Integration
WTG
Network
Substation
Condition
Monitoring
Site
Mets
Wind Farm
OEM Supplied
SCADA
Airports
Govt.
Sites
Demand
System
Sensors
Generation
Weather
Forecasts
Private
Met
Towers
Load
Substation
AGC
Meteorological
Data Points
Forecasting
Services Provider
T&D/EMS
System
Scheduling
Coordinator
PI Infrastructure
Combining Wind and Conventional
Utility/Control Operations
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Has Real-Time Visibility:
· Wind Farm Output
· Planned/unplanned
outages
· Forecasted Production
(persistence & forecast)
· Regional Forecast Models
· Confidence Interval on
Forecast
· “Imbalance” Position for
True-up period
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Partner Showcases
Telvent
IDV Solutions
Enterprise Horizons
WINData
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Partner Showcase:
TELVENT - Energy – Portal Integration
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Key: Spatially viewing information in a portal environment
 VALUE:
 Leveraging existing asset investment in
ESRI – GIS
 Leveraging existing asset investment in
OSI - PI
 Navigation and information presented
intuitively and logically
 Greater Access to Information
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Partner Showcase: TELVENT - ICEBERG
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TELVENT - ICEBERG
Iceberg
ArcGIS Server
GIS
(ArcSDE)
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PI
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Partner Showcase: IDV Solutions
Web Parts on Next Slides
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The web parts you will see are:
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Map
Asset info
RtGraphic
RtTrend
RtValues
Webcam
Contacts
IDV Solutions
TBD
OSIsoft
OSIsoft
OSIsoft
TBD
Microsoft
We will see three slides:
– Viewing a platform
– A refinery
– An on-shore well
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This is the starting point. I have
just clicked on Colimbo Menor
platform. You are seeing the
result. That action caused the
other six web parts to populate for
the clicked asset. Note that the
mouse-over box has asset data for
the platform.
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I have just moved the mouse to
Romerillo Refinery and clicked.
Note that all web parts update
(except webcam) to reflect this
asset. The hover box remains
because I have not yet moved the
mouse. Now let me click on an onshore well.
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I have now moved the mouse to
Well WD:344 and clicked. Note
that all web parts update (except
webcam) to reflect this asset. The
hover box remains because I have
not yet moved the mouse. There is
something different here. The Well
Top temperature, units and
timestamp present. It happens for
this configuration, the tag does not
show.
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Partner Showcase: IDV Solutions
Two Summary Points
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The first two slides showed web part to web part
interaction. Clicking on the platform or refinery
caused the map web part to “notify” the other six
web parts to update with the new context.
In the last slide, the well was configured to show
current value from PI. In addition the color of the
hover box varies depending on position of the
value in relation to set limits.
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Partner Showcase: Enterprise Horizons
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Partner Showcase: Enterprise Horizons
Anemometric = Wind Study
 Contour plots for Wind Energy and Wind Corridor Analytics
 Integration with OSISoft PI for Wind Related Telemetry
 Wind Contouring analysis on top of Terrain provides wind-farm Citing Analytics
VALUE NOW, VALUE OVER TIME
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Partner Showcase: Enterprise Horizons
Wind Site Discovery and Maintenance
 Simulation of Wind Turbine output (KW) as a function of wind direction
 Time-of-Day and Day of Season Simulation of Wind Flow in Corridors
 Integration with PI Historian provides real time Turbine output and efficiency
VALUE NOW, VALUE OVER TIME
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Partner Showcase: Enterprise Horizons
Seamless Integration with OSISoft Components
 Interfaces with Rt-Web Parts for Portal Display
 Interfaces with Module Db provides Taxonomical representation of Asset Data
 Context Sensitive Access provides Spatial Correlation
VALUE NOW, VALUE OVER TIME
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Partner Showcase: Enterprise Horizons
Green Capacity Planning
 Time Animated Assessment of Eco-Friendly Energy Needs or an Urban Region
 Integration with PI Historian provides “Red” vs. “Green” Energy Assessments
 Top-Down and Bottom-Up Energy Assessments possible with PI-Mod Db Interface
VALUE NOW, VALUE OVER TIME
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Partner Showcase: Enterprise Horizons
Identifying the Right “Red and Green” Mix
 Green causes Transmission Infidelity because renewables are unpredictable
 Integration with PI provides a time-series view of the infidelity and correction options
VALUE NOW, VALUE OVER TIME
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Partner Showcase: Enterprise Horizons
Analyzing the loss of Grid Fidelity due to Green Generation
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Green causes Transmission Infidelity because renewables are unpredictable
PMU and Digital Telemetry provide insight into fluctuations in Power Metrics
Study Phase Angle Deviations, Frequency fluctuations during in various Wind scenarios
Feedback “Simulations” into a PI Historian for Predictive Analysis
Grid Reliability Analytics using PI
VALUE NOW, VALUE OVER TIME
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Partner Showcase: WINData LLC
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Reliability
Integration
Real-time functionality
Historian Archiving
Analysis
Forecasting
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WINData LLC– Application Notes
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Modern sensor, storage and communication
architecture built on the PI system continuously
delivering high resolution data
Variety of post-processing algorithms available:
WINData or customer created calculations
Captures site dynamics and localized transients,
augmenting SCADA data information, and allows
creation of predictive algorithm based on met
tower data and locations.
Converts from “development” met towers to
“permanent” met towers
On-site system stores and buffers data/analyses
and transmits to central system
The system allows WINData to create site
assessment calculations and allows customs to
add their own calculationsto help model the
resource at a prospective site and later create the
development plan for the site
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WINData Acquisition Architecture
Advantages
Offsite
PI System
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Higher resolution data
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Rolls out quickly
Fewer on-site visits
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– Allows remote access
– Allows remote configuration
Architecture
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Fits in place with existing PI
infrastructure
Fault tolerant
Uses off the shelf
components
Low power
VALUE NOW, VALUE OVER TIME
WINData Acquisition
Hardware / Software
Data
Buffering
Met Tower
Wireless
Connectivity
Solar
Panel
Data
Acquisition
Battery
WINData®, LLC50
© 2008 OSIsoft, Inc. | Company Confidential
Wind Power User Group Launched
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First meeting at AWEA Asset Management Conference
(next meeting at OSIsoft European UC - October)
Major Owner/Operators in US
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Edison Mission Energy (Chair – Bill Lawrence CIO)
BP AE – US (David Grant, James “Buddy” Holly, Jim Stonebreaker)
FPL –
PPMEnergy
AES
Duke Energy
Enxco/EDF
Invenergy
Charter: For the Users – by the Users
First Agenda:
– Developing consensus data model and lever market power to
effect Turbing Manufacturer Data Transparency
– Best practices exchange
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Questions?
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Email: [email protected]
Office: +1 510 347 2658
Mobile: +1 510 541 3237
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