ibm wind power solutions

© 2011 IBM Corporation

Is technology the silver bullet to address ‘expensive’ and ‘unpredictable’ renewables?

Jon Bentley – Executive Partner and Smarter Energy Lead, IBM Global Business Services


IBM | Smarter Energy

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Rising to the challenge: Integrating cost effective renewable energy into a balanced and stable energy system

Designing, building and managing solutions, in hostile environments

Balancing supply and demand in a dynamic market with variable wind supply

Enabling the physical infrastructure to be created rapidly

1% = £4m p.a. Impact of a percentage point improvement in availability for a 1GW wind farm

500%Increase in renewable share of UK energy mix to reach the 2020 UK target

9MW – 2.6GWElectricity produced from wind at 3.00am 28 March 2011 and at 11.40am 31 March 2011



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Optimisation & Balancing

Integration & Orchestration

Mass micro generation or large scale distributed generation?

Speed to Scale

Cost & Reliability

Lowest cost mix plus returns to ownersMaintaining balance of demand and supply

“Virtual power plant” and network connectionsManaging variability and grid connections

Enough customer take-up to make a differenceFilling the generation gap and slashing emissions

Realistic pay-back periods“Grid parity” from lower capital and operating costs

There are similar challenges across all renewable technologies



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The role of information technology

Optimisation & Balancing

Integration & Orchestration

Speed to Scale

Cost & Reliability

Analytics and optimisationSystem orchestrated “supply response”

Automated, coordinated remote operation“Smart Grid”

Design innovation to cut manufacturing costsInstallation simplicity and supply logistics

Engineering for simplicity and reliabilitySmart asset operations and maintenance



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CogenData / C/oud Grid InfrastructureHow do we create an efficient Supergrid, enabling

energy trading and distributing across Europe

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Smart SolutionsHow do we generate new ways of doing things to

enable a smart and efficient energy system? Integrated PowerHow do we integrate renewable

power with conventional sources?Efficient Trading

How can we engage in effective day ahead trading

with so much intermittency in renewable power supply?

Asset ManagementHow can we optimise availability

and outputs from our wind assets?

MaintenanceHow can efficient maintenance enable operational profitability?

SafetyHow to minimise safety risks for

construction and maintenance teams?

Smart Wind Farm Location / DesignHow do we find those marginal improvements to

wind farm location and design that can yield significant returns over the life of the assets?

Turbine TechnologyHow do we find the next

generation of wind turbines that are more efficient, more reliable

and more versatile?

LogisticsHow can we manage complex array of materials,

manpower and transportation vessels whilst minimising costs and ensuring expedient development?



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Designing, building and managing renewable solutions

Wind Farm Development High-resolution weather model of target areas Creates a “climatology” to determine power potential Evaluate more than just maximum wind Physical, economic and logistical factors determine optimum design

Reducing the Ratio of Downtime IBM MAXIMO Wind Suite – Integrated MRO system. Improve forecasting for ordering, delivery and warehousing Framework for predictive maintenance using SPSS and Smart Signal Solution has delivered 57% reduction in downtime to wind turbines

Predictive maintenance “Stream Analytics” on sensors detects faults before they happen Statistical data mining predicts likely asset failures and service needs Schedule preventive maintenance at the optimal time Maximise uptime and minimise turnaround time: 1% = £4m/GW



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Balancing supply and demand when intermittency is the norm

Integrated Control Centres optimise operations Monitor, control and balance generation Optimise generation and mix across diverse portfolio Eliminate functional, expertise and asset silos Uncovers patters from operational, engineering and business data

Denmark’s EDISON Project "Electric Vehicles in a Distributed and Integrated Market using

Sustainable Energy and Open Networks" (EDISON). EVs as balancing tool for intermittent wind Charge scheduling for demand management and energy storage Vehicle-to-grid in periods of low wind power and excess demand

Optimal market trading Higher return potential from Day Ahead than Spot trading But high risk of penalties for missing the bid power amount IBM Deep Thunder and ILOG can significantly reduce risk Enables efficient and profitable trading on day ahead market



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Enabling the physical infrastructure

Creating the Smart Grid – enabled in the Cloud Renewable and micro-gen Smart Grid Management Platform IBM Smart Energy Cloud for smart grid data comms & analytics Integration of smart meters, micro storage, EV and intelligent home Forecasting accuracy, optimisation models and automation rules Visualisation for improved decision making

Optimising the Supply Chain Supply chain visibility across categories, geography, tiers Tens of thousands of variables Optimisation of millions of deployment scenarios Demand forecasting, logistics scheduling and inventory optimisation ILOG ODME, Lotus Mashups and Websphere Portal manager



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Life cycle plant information management and model-driven embedded software engineering

IBM PlantLIF completes the expanded lifecycle: Integrates plant development activities with asset management Maintains common information repository throughout service life Shares key information across manufacturers and owner/operators Reduces operational and maintenance risk and drives efficiency

Rational Rhapsody Architect UML/SysML model-driven development environment Real time and embedded systems engineering Complex, multiple control sub-systems and interaction Robust generation of control software Configuration management and collaboration tools



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Building a smarter planet.

IBM can manage the data. We can integrate technology with business processes. We can help design the overall system. And we can mine and

exploit the information.

But

We don’t build the turbines.We don’t construct the physical infrastructure. We don’t operate the wind farms. And we don’t sell the energy.



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So, we need to work with you.

CollaborationOpen Standards

Innovation

[email protected]@uk.ibm.com

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ibm wind power solutions

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