European operators of wind farms (on/offshore) have highlighted the need for a strong data analysis strategy. Considering your interest in renewable energy I thought you’d like to know how operators like Axpo Power use asset management techniques to achieve MW growth? Listen to this presentation from Axpo Power’s Head of Asset Management & Optimisation, bringing to life the following: • Position yourself for increased power output: Optimise management strategies, delivering better power curve results on current assets whilst positioning yourself to increase your installed capacity • Out-sourcing vs. In-sourcing: Understand what the right strategy, according to your portfolio size is and how to reflect that in contracting decisions for an approach that delivers big results • Optimising your O&M using coded data: Hear what Axpo Power have done to translate their data into a digestible format that’s accessible 24/7 and optimises their O&M team’s time

1. Independent data analysis, a key factor for managing your wind farm
Giuseppe Madia, Gianmarco Pizza
Asset Management and Optimization, AXPO Power AG (Switzerland)
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2. Agenda
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• Introduction
• Axpo at a glance
• Wind Asset Management Activities
• Wind Asset Management Strategic Options
• The Asset Management Information Infrastructure
• Architecture
• Objectives
• Application Examples
• Conclusion
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3. Axpo at a glance
Swiss energy company owned by the north-eastern Swiss cantons
(ca. 7 GW installed capacity, 4000 employees)
nuclear hydro CCGT renewables
Axpo is active along the entire value chain:
• Power generation
• Power distribution
• Power trading
• Power sales and services
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Wind farms
• ca. 300 MW installed capacity
• 17 onshore, in operation
• 1 offshore, under construction

4. |
Financial Management
Energy Management
Technical Asset Management
•Definition of long-term Asset Strategy
•Portfolio Management
•Banks, Insurances, Tax
•Budgeting, Controlling, Accounting
•Reporting
•Performance Analysis
•Condition Monitoring
•Continuous Improvement
•Benchmarking
•Failure Analysis, Energy Loss Analysis
•Contract Management
•Maintenance Management
•Strategic Spares
•Manage local Stakeholders
•Manage on-site activities
•Reporting
•Operation 24/7
•Troubleshooting, Surveillance
•Dispatching
•Scheduled Maintenance
•Unscheduled Maintenance
•Preventative Maintenance
Strategy
Centralized,
Remote
Local,
On-the-Asset
•Risk Management
•Imbalance Management
•Hedging, Power Purchase Agreements
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Operation
Maintenance
ACTIVITIES:
Wind Asset Management

5. Wind Asset Management
Strategic Options for Technical Asset Management
Private / Public /
Industrial Investors
Medium / Small
Power Utilities
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Power Utilities
Investment Funds
Insourced
Technical
Asset
Management
Outsourced
Outsourced Insourced
Operation and Maintenance
Insourcing of some activities
along the Asset Management
value chain can create additional
value for the wind farm Owner.
The implementation of an Asset
Management Information
Infrastructure represents a crucial
step when moving towards
insourcing.

6. Agenda
|
• Introduction
• Axpo at a glance
• Wind Asset Management Activities
• Wind Asset Management Strategic Options
• The Asset Management Information Infrastructure
• Architecture
• Objectives
• Application Examples
• Conclusion
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7. Architecture of the Asset Management Information Infrastructure
Fully customisable
applications and
reports, ad-hoc
analysis, cost/benefit
The Server runs the scheduled
processes automatically:
•Models
•Report generation & distribution
Data Storage
Several pre-processing
tasks are performed:
•Validation
•Mapping
•Aggregation
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Automatic Process
Data Import
Wind Farm 1
Data Processing
Automated data
import from
different sources
Desktop Reports
Analysis
Mobile
Requirements:
•Based on raw data
•Customizable
•Independent from OEM or service
provider
•Available anytime & anywhere
•Based on automatic processes
•Include commercial impact for
cost/benefit analysis
Wind Farm 2
•Market
•Meteo
•Manual input
•TSO
Central Data Base

8. Objectives
The objectives for an Asset Management Information Infrastructure are the following:
- provide the Asset Manager with an OEM independent view of the Asset
- monitor the technical / economical performance of the Asset
- monitor the condition of the Asset and of the Asset components
- identify the main causes of losses such to prioritize remedial interventions
- identify continuous improvement measures based on cost-benefit analysis
- provide the Asset Manager with the information set to manage the Counterparties (Service Providers,
TSO etc.)
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9. Application Example: 24/7 Operation Monitoring
Monitor the status of each WTG (in operation, not in operation due to failure, underperforming,
under maintenance).
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10. Application Example: Daily Performance Overview
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11. Application Example: Logbook Analysis
Information:
- Energy loss analysis based on errors stopping the
turbine
- Top-10 errors analysis
Benefits:
- Identify main energy losses causes and plan corrective
interventions
- The Top-10 Errors approach is a «best industry»
practice for continuous asset improvement
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12. Application Example: Power Curve Analysis
FEBRUARY 2013
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Check the performance of each WTG vs.
theoretical power curve and identify the
cause of underperformance such as :
- errors
- meteo conditions
- grid constrains
- operation constrain (e.g. WSM)
AUGUST 2013
The example shows underperformance
due to :
- Ice formation on blades
- Anemometer not properly working due
to snow and ice

13. Application Example: Condition Monitoring
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Temperature is OK Temperature is deviating Breakdown
Breakdown
2 months 15 days
2 months
Main Bearing Temperature
Temperature vs. non-dimensional
power before the breakdown
Temperature vs. time

14. Application Example: Contractual Availability
Independent calculation allows to ensure full transparency of Bonus/Malus payments
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O&M
contract
(OEM)
Events
Logbook
Operational
data
Manual
input
OEM‘s
contractual
availability% +-
OWN
contractual
availability%
Bonus
Liquidated
Damages
Raw data
Independent calculation
based on contract formula
Comparison with OEM‘s figures

15. Conclusions
today tomorrow
yesterday
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Independent data analysis represents a key factor for
the management of wind farm assets:
- allows the Asset Manager to execute a more effective
management of the wind farm which results in a higher
value generation
- reduces the information asymmetry between Asset
Manager and OEM and allows for an active
management of the OEM, thus extracting more value
even in a “Full O&M Contract” structure
- a sound asset management information infrastructure
(including CMMS) represents an important element to
move one step further along the chain of value
generation for the wind farm Owner (i.e. insource the
maintenance activities).
Insourced
Technical
Asset
Management
Outsourced
Outsourced Insourced
Operation and Maintenance