Presentation delivered to IET Asset Management Conference 2012

1. Ben Hanley – Asset Management Consultant – Renewable Energy and Sustainability
Richard Clayton - Asset Management Consultant
Smarter Asset Management for Renewable
Energy
© 2012 IBM Corporation

2. Rising to the challenge: Integrating cost effective renewable energy
into a balanced and stable energy system
Enabling the physical Optimising the design, Balancing supply
infrastructure to be build and management and demand in a
created rapidly of renewable energy dynamic market with
variable wind supply
30% 1% = £1m p.a. 9MW – 2.6GW
UK’s electricity from Impact of a percentage point Electricity produced from wind
renewable sources by 2020 improvement in availability for at 3.00am 28 March 2011 and
a 250MW offshore wind farm at 11.40am 31 March 2011
2 © 2012 IBM Corporation

3. Smarter Planet
3 © 2012 IBM Corporation

4. Plan and Design Phase
Collaborative Information Management Systems
 Bring together disparate pieces of data across complex supply
chains
 Having the information available supports planning processes
 Once planning is granted, process supports Lean Construction
Analytics
 Optimising the location and configuration of wind farms
 Making sense of ‘big data’ to better design wind farms
 Modelling operations and supply chains
 Building Information Modelling
4 © 2012 IBM Corporation

5. Plan and Design Phase: VESTAS Case Study
Virtually selecting the optimal location for wind turbines
Challenges
• Precise wind turbine placement makes a significant
difference to performance and useful life.
Solution
• One of the world’s largest supercomputers / modeling
solutions
• Fast analysis of complex structured / unstructured data:
temperature, pressure, humidity, precipitation, wind
direction / velocity at the ground level up to 300 feet
Benefits
• 97% reduction (from weeks to hours) in response time to
business user requests
• Improved accuracy of turbine placement
• Decreased cost per kWh produced and increases the
precision of customer ROI estimates
5 © 2012 IBM Corporation

6. Build Phase
Managing the Information Flow
 Resources and inventory communicated in real-time to those that need
to know
 Optimising resourcing across the project’s lifecycle – e.g. hiring ships
and cranes
 Optimised delivery schedules – minimising the costly storage and
transportation of heavy and bulky assets
Lean Sigma
 Root cause analysis to identify opportunities to change how processes work
 Build methodology
Renewable Energy for Transport
 EDISON: Electric Vehicles in a Distributed and Integrated Market
using Sustainable Energy and Open Network. EVs as balancing
tool for intermittent wind: Vehicle-to-grid in periods of low wind
power and excess demand.
 ecoisland Hydrogen Refuelling. Converting wind power to
hydrogen fuel - using excess supply when the wind is blowing.
6 © 2012 IBM Corporation

7. Operate and Maintain Phases
Lifecycle Asset Management
 Scheduling asset downtime and ensuring shut-downs occur when
supply or demand is less
 Reduced reliance on fixed inspections
 Asset Management considered at all phases of a wind farm’s life
Remote Condition Monitoring and Analytics
 Sensors and analytics to interpret and derive value from raw data
 Automatically generate predictions and prioritised alarms,
pinpointing turbines where there are problems and highlighting
issues before failures occur
 Actively managing assets remotely
 Organising supply chains and maintenance to reduce exposure to
hazardous environments
7 © 2012 IBM Corporation

8. Operate and Maintain: A leading European Utility with >4 GW
Renewable installed capacity
Maturity
Optimize
- e.g. Integrate, Generation Portfolio
and Asset Management Optimization
Manage
- e.g. Condition-Based Maintenance and
Predictive Analytics
Monitor
- e.g. KPI’s, Dashboards, Real-Time Reporting
Business Value
Benefits
Challenges
• Real-time decision making
Monitoring, Control, Analysis and Management of Renewable Assets across Europe.
• Significant cost savings and enhanced revenue generation
Information from SCADA Systems and Business Support Systems (ERP).
• Scalable to support ambitious growth plans with integration of other new renewable assets such as
Solar and Bio-gas based power in next years.
8 © 2012 IBM Corporation

9. Hybrid-DA based Renewable Energy Forecasting Solution (HyREF)
Challenges
• Renewable energy growth in China from 50GW in 2012 to
200GW by 2020
• Renewable power: intermittent, random with lack of high
accuracy power forecasting
Solution
• Data collected from Satellite, Met Stations, GIS and
SCADA
• Forecasting of power output at individual turbine level
Benefits
• Turbine-scale power forecasts (resolution < 200m)
• Day-ahead Forecast Error as low as 8%
• Increase wind power integration by 10%
• Electricity sales increase of $80M across the lifecycle
9 © 2012 IBM Corporation

10. Collaboration
Open Standards
Innovation
EMAIL: ben.hanley@uk.ibm.com
TWITTER: BenHanley_77
10
10 © 2012 IBM Corporation

11. Renewable Energy across the Lifecycle
Logistics Safety
How can we manage complex array of materials, How to minimise safety risks for
How to minimise safety risks for
manpower and transportation vessels whilst minimising
manpower and transportation vessels whilst minimising construction and maintenance teams?
construction and maintenance
costs and ensuring expedient development?
costs and ensuring expedient
Turbine Technology
How do we find the next
How we find the next
generation of wind turbines that
generation wind turbines that
are more efficient, more reliable
are more efficient,
and more versatile?
and more versatile?
Maintenance
How can efficient maintenance
How can efficient maintenance
enable operational profitability?
enable
Smart Wind Farm Location / Design
How do we find those marginal improvements to
How do
wind farm location and design that can yield
wind farm location
significant returns over the life of the assets?
significant returns over the life of the assets?
Cogen
Data / C/oud Grid Infrastructure
How do we create an efficient Supergrid, enabling
How do we create an efficient Supergrid, enabling
energy trading and distribution across Europe
energy trading
Asset Management
How can we optimise availability
How can we optimise availability
and outputs from our wind assets?
and outputs from our wind assets?
Smart Solutions
How do we generate new ways of doing things to
How do we generate new ways of
enable a smart and efficient energy system?
enable smart and efficient energy system? Integrated Power
Efficient Trading How do we integrate renewable
How do we integrate renewable
How can we engage in
How can we power with conventional sources?
power with conventional sources?
effective day ahead trading
effective day ahead trading
with so much intermittency in
with so much intermittency
renewable power supply?
renewable power supply?
11 © 2012 IBM Corporation

12. Mass micro generation or large scale distributed generation?
Speed to
Design innovation to cut manufacturing costs to make a difference
Enough customer take-up Speed to
Scale
Installation simplicity and supply logistics gap and slashing emissions
Filling the generation Scale
Cost &
Engineering for simplicity and reliabilityperiods
Realistic pay-back Cost &
Reliability operations and maintenance capital and operating costs
Smart asset “Grid parity” from lower Reliability
Integration &
Automated, coordinated remote operation Integration &
“Virtual power plant” and network connections
Orchestration
“Smart Grid” Orchestration
Managing variability and grid connections
Optimisation optimisation cost mix plus returns toOptimisation &
Analytics and Lowest owners
& Balancing
System orchestrated “supply response” of demandBalancing
Maintaining balance and supply
There are similar challenges across all renewable technologies
12 © 2012 IBM Corporation