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Roberto FalcoSenior ManagerAccenture do Brasil

19 a 21 de outubro de 2009Hotel Transamérica São Paulo, Brasil

Smart Grid: What is This and What Means to You?

Technology is Key, but Enough?

Smart Cities: Concept Turned on Reality

Q&A

Agenda

© 2009 Accenture. Todos os direitos reservados.3

Smart Grid (Modern Utility) = Reliable Grid

Reliable Grid (Smart Grid)

Electric/

Power Telecommunication

Internet Information/Data

Computing

The Modern Reliable Grid is enabled by technologies/ applications/ solutions from several industries


Key Drivers for Smart Grid

� In the US, the federal Energy Act of 2007 has language that fosters the advancement of smart grid but leaves to the states to define its requirements

� Different EU countries are fostering the massive roll-out of Smart Meters by mandatory requirements

� ANEEL isssued a public hearing process to assess strategies for developing a Smart meter introduction roadmap for Brazil

� Massive investment will be needed to upgrade the transmission and distribution grid over the next 10 years – 60% of equipment to be replaced

� “The total estimated annual cost to the U.S. economy from power outages and power quality disturbances is over $100 billion…”

� Need for automation is also generated by the estimate that 50% of technical workforce are expected to reach retirement age in 5-10 years (North America)

� Plug-In Hybrid Vehicles are likely to increase the stress on the distribution network

� Future development in distributed generation will also affect the design and operation of the distribution network

� The grid will need to be able to deal with intermittency and peak shaving technologies, such as battery banks

� Peak shaving and load shifting reduce reserve requirements which reduce total energy required

� Energy efficiency can reduce energy usage thus reducing carbon emissions

� Capital deferment and distributed generation reduces the need for additional future generation or power plants

� Under rising costs of energy, customers are likely to demand a more granular level of information to reduce their bills and contribute to the conservation of the environment

� The use of more flexible pricing mechanisms, such as Time of Usage and Critical Peak Pricing, will require automation to be implemented

� Automated Meter Reading is quickly becoming obsolete and vendor support cost for old systems are likely to increase exponentially

� In the face of new capital investment, new technology, such as Advanced Metering Infrastructure may be the cheaper solution

Regulatory Mandate

Aging Grid & Reliability

Future Generation Mix/Network Management

Customer Needs/ Requirements

Environmental Impact

Technology Evolution


One Size does Not Fit All!

WEF Archetypes definition and drivers:1. Aging Infrastructure – e.g. New York

Reduce cost and improve reliability

2. Island Networks – e.g. SingaporeRenewables and consumption optimization

3. Concentrated Intermittent Renewables –e.g. US MidwestNetwork stability due renewables

4. Developing Economy – e.g. Mumbai, Rio de JaneiroFight energy theft

5. Hi-Tech manufacturing – e.g. Silicon ValleyImprove power quality

6. Distributed Generation and Storage – e.g. Flanders, BelgiumIncorporate renewables and optimize consumption

7. Enhanced Resilience – e.g. New Orleans, North-east ChinaIncrease reliability (severe weather) and power quality


Smart Grid – Customer Value Proposition

Ability to manage and reduce costs• Lower bills by changing

when electricity is used from the grid

• Manage costs by viewing real- time consumption changes based on appliance changes

• Lower bills by allowing the smart grid to automatically adjust appliance settings

• Lower bills by participating by voluntarily conserving during extreme peak demand

Supply reliable power• Fewer power

outages• More trust in the

accuracy of restoration estimates during outages

• Reduced impact of outages with battery/backup equipment that takes advantage of time-of-use pricing

More accurate bills• No more estimated

reads• More trust in meter

read accuracy• Accurate bill

forecasts

Reduce environmental impact• Quantify

carbon-emission savings due to changes in behavior


Smart Grid Definitions

• “SmartGrid” - a modern, intelligent electricity transmission and distribution system that provides better grid performance and to support a wide array of additional services to customers and the economy.

• The Smart Grid is the integration of technologies that can…- Detect and address emerging problems before they impact

service- Make protective relaying the last line of defense, not the

only defense- Respond to local and system-wide inputs; know more about

broader problems- Incorporate extensive measurements, rapid

communications, centralized advanced diagnostics, and feedback control that quickly return the system to a stable state after interruptions or disturbances.

- Automatically adapt protective systems to accommodate changing conditions

- Re-route power flows, change load patterns, improve voltage profiles, and take other corrective steps within seconds of detecting a problem

- Enable loads and distributed resources to participate in operations

- Be inherently designed and operated with reliability and security as key

- Provide system operators with advanced visualization tools to enable essential human oversight

Leading utility companies and research institutes h ave defined Smart Grid their ways

BC Hydro San Diego Gas and Electric

• A power system made up of numerous automated transmission and distribution systems, all operating in a coordinated, efficient and reliable manner.

• A power system that handles emergency conditions with ‘self-healing’ actions and is responsive to energy-market and utility business-enterprise needs.

• A power system that serves millions of customers and has an intelligent communications infrastructure enabling the timely, secure and adaptable information flow needed to provide reliable and economic power to the evolving digital economy.

EPRI - IntelliGrid


An Accenture Definition: Intelligent Networks• An intelligent network uses sensing, embedded processing, digital communications, and

software to integrate network-derived information into utility processes and systems, thus making itself observable (able to measure the states of all grid elements), controllable (able to affect the state of any grid element) and automated (able to adapt and self-heal).

SmartD

Substation

SmartT

Substation

SmartT

Substation

SmartD

Substation

Grid-based renewables

Grid-based storage

NuclearPower Plant

Coal & GasPlant with CCS

Natural GasTransmission

CO2 Transport for Sequestration

Tidal Power

Hydrogen, biofuels and gasoline/diesel distribution infrastructureH2 production –

electrolysis

Direct H 2production –

Gen IV

H2 production –electrolysis


Gen IVBio-fuels

Production

H2 production –electrolysis


Gen IV

High TempSuperConductor

Super Grids

HVDC link to neighboring grids

CHP/District heating

network, DC Micro Grid

Embedded renewables

Embedded storage

Photo Voltaics

Heat pump

SmartSensors

AutomaticFault Isolation

Smart Buildings

Smart Homes

FaultLocation

Sensors, Smart Switches

Highly insulated housing structure

Micro generation

Photovoltaic roof tiles

Dynamic control of refrigeration and HVAC

In-house data on usage and costs

Demand side management

High efficiency appliances

Plug-in hybrid

Wind Farm

Wind Farm

FaultLocation

Generation

Transmission & Distribution

Retail




Q&A

Agenda


Technology is a Key Enabler of Smart Grid

Several advancements in technology over the past decade will allow more of the Smart Grid concept to come to reality • Sensors and two-way communications will increase

large volume of data

• Introduction of Common information standard - CIM

• New tools allowing real-time data processing• Advanced visualization tools for decision-making

support

• Key new applications such as Distribution Management System and accompanying customs

• Enhancements to existing enterprise applications within the Retail, Distribution, Generation, and Transmission areas.

• Advanced architecture, such as SOA will enable the processing and transfer of large volumes of data in near real-time to meet Smart Grid performance needs

SAP Work Management& Purchasing

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3.3.1PREPARE STAKE/PERMIT PACKAGE

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DOMAIN

DocumentsKnowledge

Management

Planning

Process Guides


Internationalstandards-developing organizations

Sources: EPRI, IEC, UCA IUG, and Accenture

Open standards are a part of the solution, but the area is confusing

Sorting Out Standards

ISO IECJTC 1

ITU JTC1 WG25 CENELEC

ANSI(US) EIA/CEMA IEEEASHRAE

SAE AHAM ASHRAESSPC135UIWG

ANSI C12Series

NAESB

NIST

National Organizations

Trade, technical,and government

UCAInternational

ZigBeeAlliance

AEIC MeterGroup

BACnet™Users

IEC61970/68CIM Users

IEC 61850Users OpenSG Utility AMI Open HAN

BACnet™MfrsEPRI IWG

IETF

Consortia and user groups

Projects EPRI Projects DOE Projects DOD Projects Other ProjectsNIST Projects


Navigating the Technology LandscapeApplications and infrastructure development are occ urring in parallel


Information Will Fuel the Ability to Transform

Size of installed base of smart technologies

Info

rmat

ion

volu

me

Accenture is helping utility companies by acting as the “master integrator”of this massive volume of data –and then turning this data into actionable information that will help transform utilities for the new energy economy.

Full Service Energy Services Company

Demand Reducer

Network Integrator

Current Utility Role

Information volume (post smart grid) =

846 copies of War and Peace per second

Information volume (pre smart grid) = 1 copy of Tale of Two Cities per second


The Key to Handling Smart Grid Data is Transformati on via Analytics• Analytics are software tools that transform data into information

• Business Intelligence is one aspect, but for smart grids there is much more to consider

• We recognize many classes of analytics beyond traditional BI:

– Electrical and device states (traditional as well as renewables and Distributed Energy Resources)

– Power quality

– Reliability and operational effectiveness (system performance)

– Asset stress and asset utilization (for asset management)

– Customer behavior (especially in terms of Demand Response)

• We catalog over 200 analytics from our INDE tool now, with more coming !




Q&A

Agenda


Accenture Global Experience in Smart Grid• Accenture currently has 30 active intelligent network solution/smart grid engagements

across 13 countries.

Amsterdam


Xcel Energy’s Smart Grid Vision• Xcel defines a smart grid as fully connected and horizontally integrated system across

multiple parts of the business leading to real-time analytics, decision-making and allow customers to actively participate in decisions on energy use

• “A smart grid covers the entire value chain –“wind to light,” or “coal to cool air”– and sees smart grid as a continuing organic evolution that includes multiple layers of functional intelligence leading to real-time analytics, decision-making, and action”

• “A smart grid is a fully connected and horizontally integrated system requires real-time and automated decision making across multiple parts of the business. It creates heightened abilities to communicate and analyze data, but also calls for considerable modernization of infrastructure along the entire pathway”

• “A smart grid must be built on a design for a fully inter-connected system that allows customers to more actively participate in decisions about their own energy use. Additionally, there are digital technologies available now that will allow the utility to reliably produce and deliver that energy through real-time, automated controls”

Definitions Concept

• Distributed generation technologies (such as wind turbines, solar panels, and plug-in hybrid electric vehicles)

• A dynamic system rich in information technology

• Decision-making data and support for peak efficiency

• Automated “smart substations”

• High-speed, real-time, two-way communications

• Sensors throughout the grid enabling rapid diagnosis and corrections

• In-home energy control devices

• Automated home energy use


Smart Grid City™ Key components• Xcel defined several key components in a Smart Grid. The main are: high-speed, real-time

two-way communication network, automated substations, smart sensors, distributed energy sources and in-home energy control devices

The Smart Grid will:• Be more reliable• Be self-healing and self-monitoring• Be more secure• Be cleaner and greener• Support widespread distributed generation• Help customers better control energy use• Achieve lower throughput, thus lowering

prices

Key components of Smart Grid City are:• A dynamic system rich in information technology• High-speed, real-time, two-way communications• Sensors throughout the grid enabling rapid diagnosis and corrections• Decision-making data and support for peak efficiency• Distributed generation technologies (such as wind turbines, solar

panels, and plug-in hybrid electric vehicles)• Automated “smart substations”• In-home energy control devices• Automated home energy use


INDE @ Xcel• INDE stands for “Intelligent Network Data Enterprise” and refers to the project which is

responsible for the integration of all partner solutions at Smart Grid City. The INDE-project is integrating 10 core capabilities of a smart grid in comprehensive architecture

• Receive ‘real time’operational data obtained from line sensors, grid devices and substation instrumentation

• Store operational data in Historian

Grid State Monitoring

• Detect, classify and categorize faults where if necessary sensor-equipment is available

• Determine fault location• Log en distribute fault

events and information (example Outage Management)

Fault Intelligence

• Receive and register operational data from sensors in sub-station and on power lines

• Perform specified analytics on these data

• Determine events/ trends and distribute this information to central control level

Substation Analytics

• Detect and classify outages from sensor-equipment and fault-events and information

• Log momentaries• Determine outage

extent, root cause analysis

• Log en distribute outage events and information

Outage Intelligence

• Collect residential and C&I meter data

• Store meter data in meter data repository

• Distribute meter data• Collect meter data on

request ‘near real time’(‘meter ping’)

Meter Data Collection (AMI)

• Capture event information from different sources

• Perform Complex • Event Processing

(CEP) and message filtering

• Log and distribute events and information

Event Management

• Receive and process forecast-data, VPP-data, DR-connectivity-data and customer-data

• Run system-& distribution optimization

• Distribute DR-signals and collect responses

• Receive and act upon override-signals

Demand Response

• Receive data on power-quality, environment, asset-health and-stress

• Receive and store grid connectivity from OMS

• Capture connectivity changes from switches, sensors, reclosers

• Store connectivity-snapshots periodically

Non-Operational & Meta Data Mgt.

• Visualize grid connectivity and state

• Visualize events, faults and outages

• Visualize measurements of grid-& line sensors

• Visualize different kind of reports

• Interactive by ‘drill-down’ functionality

Visualization

• Subscribe users to data event scenarios

• Look for requested event scenarios

• Notify subscribers about events via preferred communication medium

Notification Agent


Smart City Amsterdam (Alliander)


Amsterdam Smart City Concept

The Amsterdam Smart City program is build on 3 key principles:

• The momentum for smart energy is stopped without result if any one of the required parties in society does not cooperate

• Therefore a collective effort of activating and involving all parties is required to realize CO2 reduction

• Stimulation of behavioral change creates a demand pull for more sustainable technology

• Application of innovative technology results in a technology push towards sustainable behavior

• Economically unviable initiatives will never be applied in a large scale

• Only economically viable initiatives (for all stakeholders) are interesting to apply on a large scale and can therefore have a large CO2 impact

Solution initiation

Collective effort Tech push / demand pull Economic viability


Smart City Amsterdam Focus Areas

Sustainable Living

Sustainable Working

Sustainable Municipality

Sustainable Transport

In progress

Planned

• Equip 1200 Amsterdam homes with smart meter and behavior changing initiatives

Q3 2009:• Equip the ITO

Tower (large office building) with diverse energy saving and behavior changing technology

Q3 2009: • equip all Municipal

Offices and Buildings with smart meters and diverse energy saving and behavior changing technologies

• Equip the Port of Amsterdam with 73 shore power connections for inland freighters and river cruisers

Q4 2009: • trial with 100

charging terminals for electric vehicles in the city centre

Smart GridBy introducing intelligent technology in the networ k,

Smart City aims to reduce CO2 emission.

© 2009 Accenture. Todos os direitos reservados.23Source: Templates as filled out by Smart City Participants

Impa

ct o

n go

al (

CO

2 re

duct

ion)

Feasibility

Hig

h

Low

Low

High

Priority

Medium

Med

ium

Pilot projectsConsiderNot now

Sustainable Living

SustainableTransport Climate

street

Shipping power

SustainablePublic

Service

SustainableWorking

V2G

User specified

energy mixH Eff.Heat sys.

Heat/Coldnetwork Remote

WorkingInnovativeFinancing

EnergyStorage

Readiness Evaluation Methodology• Impact and feasibility analysis leads to three stages of Smart City Amsterdam ‘readiness’

Ready to start:1. Sustainable Living2. Climate street3. Sustainable Municipality4. Sustainable Working 5. Sustainable Transport

Start further investigation:1. Commercial shipping power2. Remote working3. High efficiency heating system

Monitor developments:1. Mini Power/heat plant2. V2G3. Heat / Cold network4. Energy Storage5. User specified energy mix6. High return heating


Accenture Intelligent Cities NetworkChallenges to solutions at scale

Intelligent Cities Framework

Energy Mobility Water WasteBuildings

1Strategy

2Coordination

3Initiatives

• City coordination• Local / national government

• Coordination of private sector parties• Fragmented risk and value• Uncertain business case

Public Sector

Private Sector


Smart Grid Business Case Per Connection Year (15 Snapshot)

Private Sector BenefitsPrivate Sector Costs Public Sector Benefits

Public Sector Costs Opportunity Value

Private Sector Business Case Public Sector Business Case

-$500

-$400

-$300

-$200

-$100

$0

$100

$200

NPV ofOpex

NPV ofCapex

Laborreduction

Nonlaborreduction

Workingcapital

System lossreduction

RevenueProtection

CapitalDeferral

ReducedCarbon

Emissions

ReducedElectricyDemand

Comms.Effectiveness

OpportunityBenefits

Job Losses Total

Total Cost $410 Per Household

Private Deficit $100

Total Value $130




Q&A

Agenda

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