Mark Henry Account Executive

Itron Inc.

How the Fixed Network can meet your Meter Reading Needs and

Beyond…

Incorporating

Value drivers for simple EMR/AMR

Value drivers for advanced AMR

Advanced AMR for commercial/industrial customers first

How a Fixed Network meets advanced AMR needs

Knowledge applications

Objectives

Incorporating

EMR/AMR Value Drivers

Accuracy

Reduce visual reading errors

Reduce manual entry errors

Financial

Reduce the read to bill window

Move to monthly billing

Reduce operational expenses

Improve employee safety (dogs, crime, hostile customers)

Ability to do various inspections (Loss/Load/theft/etc…)

Incorporating

EMR/AMR Value Drivers

Efficiency

Read more meters per day

Reduce reading time for difficult to access and hazardous-to-read meters

Improve response time for off-cycle readings, check reads, etc…

Special reads (move-in/out)

Reduce exception readings

Customer Service

Reliable monthly reading

Reduce estimated reads

Reduce billing inquiries

Improve customer security (no intrusion of the premise)

Increase customer confidence and satisfaction

Incorporating

Monthly meter reading for residential and commercial/industrial customers

On-Demand reads (move-in/out, check read, etc…)

Outage detection and restoration to improve; SAIDI, SAIFI, CAIDI, CAIFI and MAIFI scores

Remote connect/disconnect

Loss/Theft analysis

Advance AMR Features

Incorporating

Interval Data/Load Profile data

Power quality analysis

More data for advanced metering and billing

Provide more data for: better energy management,

distribution planning and asset management, improve

reliability, load control validation, short-term and

long-term forecasting/planning, information to meet

performance-based rate criteria, etc…

Advance AMR Features

Incorporating

Advanced AMR for Commercial/Industrial Customers

Incorporating

C&I Customers

Less than 1% of a utility’s customer base represents more than 40% or more of revenue

A mid-size utility will collect more than 100 million interval readings per year and will keep several years of that data on-line

A large utility may collect up to a billion new interval readings per year

Incorporating

C&I Reading Basics

Interval data collection

Time of Use

Load Profile Data

Time tagged events

Alarm conditions

Voltage Quality

Power Quality

Typical measured

quantities (KWH D,

KWH R, KVARH D,

KVARH R, V2H, I2H)

Data Quality (time

resets/alarms/power

outage/edit intervals/etc

Incorporating

Validation, Estimation and Editing

Energy tolerance checks between the meter

readings and the interval data

High/low checks on demand (KW)

High/low checks on energy (kWh)

Load Factor Tolerances

Power Factor Tolerances

Time tolerance between collection software

and meter hardware

Incorporating

Validation, Estimation and Editing

Main vs. Check meter tolerances

Number of power outage intervals

Number of zero consumption intervals

Edited Intervals

Time resets, alarms, etc.

Percent change between intervals

Comparison to historical data such as yesterday,

last month, same month one year ago, etc.

Incorporating

Meter Data Management

Data Analysis

Time of Use Analysis

Totalization

Graphics

Load Control

Incorporating

Why Do Utilities Collect Interval Data?

Billing

Complex Contracts

Real Time Pricing (RTP)

Curtailable/Interruptible rates

Aggregate billing

TOU Rates

Demand Response

Incorporating

Why Do Utilities Collect Interval Data?

Load Research

Traditional rate studies

Long term load forecasting

Short term load forecasting

Load profiling

Market Research

Customer segmentation

Market strategies

Customer programs

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Industrial Class

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System Peak

Incorporating

Why Do Utilities Collect Interval Data?

T&D

System operations

Substation design

Substation monitoring

Calculate system losses

Generation netting

Calculating TOU period totals and peak demands

Incorporating

Why Do Utilities Collect Interval Data?

Customer Programs

Load optimization programs

Load Profile Analysis

Cost analysis/rate options

Hourly pricing

Aggregate sites with multiple meters

Incorporating

Why Do Utilities Collect Interval Data?

Cost Control – Real Time Usage Based Billing

Real Time Pricing

Demand Response Programs

Curtailable Rates

When utility customers are billedor penalized based on real time usage, they need to understand that usage on a real time basis

Incorporating

Why Do End Users Collect Interval Data?

Cost Control – Bill Verification

Large end customers frequently want to collect their own readings data and calculate ‘shadow bills’ to verify that utilities have calculated their bills correctly

Incorporating

Why Do End UsersCollect Interval Data?

Cost Control – Demand Control and Energy Efficiency

By understanding when peak demands and excess energy consumption occur, end users can identify:

How operational changes can reduce peak demand

Which processes or loads may be inefficient

Incorporating

Why Do End UsersCollect Interval Data?

Sub-metering to proportionality allocate total bill

Different departments within the company

Different processes within the operation

Multiple tenants

Performance Monitoring

Equipment Monitoring

Incorporating

How a Fixed Network Meets Advanced AMR Needs

Incorporating

Endpoints

Repeater

Neighborhood

Collectors (CCU)

Collection

Engine

IPIP

Gas, Water, or

Electric Endpoints

� Endpoints

� Provide – Interval Consumption and tamper info

� Flexibility - Industry leading meter compatibility Common technology - Electric, Gas and Water)

� Experience - 37 million ERT deployed

� Spectrum - Unlicensed FCC part 15.249

Incorporating

Repeaters

Repeater

Neighborhood

Collectors (CCU)

Collection

Engine

IPIP

Gas, Water, or

Electric Endpoints

Repeaters

Cost Effective –reduces network and O&M costs

Flexible - Mounting options

Reliability – Increases redundancy

Added Value –Track outages and performance

Spectrum - Unlicensed FCC part 15.247

Incorporating

Repeaters

Pole Top Repeater Meter Sleeve Repeater

Incorporating

CCU

Repeater

Neighborhood

Collectors (CCU)

Collection

Engine

IPIP

Gas, Water, or

Electric Endpoints

Neighborhood Collectors

WAN Flexibility – Can utilize technologies of today and tomorrow

HUGE Bandwidth - architected for over 3000 reads per second

Intelligence – Build business rules via filtering and alarming

Incorporating

CCU is Designed to Adapt to the Future

Com1(Down Link)

Com3(Other)

Com2(Uplink)

System Resources

Processor

OptionsERT/Repeater Transceiver• 900 MHz• 433 MHz• 1.4 MHz

Options via External Ethernet Connector

• External RS485 Devices• Weather Stations• Home Connection• Distribution Optimization• GPS• Connect/Disconnect

Options• Ethernet• GPRS• Telephone• Fiber• iDEN*• 1xRTT*• BPL• Private

Options• RAM• ROM• Battery

Incorporating

CCU is Designed to Adapt to the Future

Incorporating

Backhaul

Repeater

Neighborhood

Collectors (CCU)

Collection

Engine

IPIP

Gas, Water, or

Electric Endpoints

Flexible Wide Area Network Connection

TCP/IP Based, DHCP Client

External Ethernet Port

Options: GPRS, BPL, Wi-Fi, 1xRTT*, Fiber, Telephone

Incorporating

Fixed Network Collection Engine

Repeater

Neighborhood

Collectors (CCU)

Collection

Engine

IPIP

Gas, Water, or

Electric Endpoints

FN Collection Engine

Communications Processor – Collects data

Transitory Database – SQL Server –

Reporting – Network Management tools

Incorporating

Readings and Alarms

Repeater

Neighborhood

Collectors (CCU)

Collection

Engine

IPIP

Gas, Water, or

Electric Endpoints

High Bandwidth High Frequency

4 hours of 5 minute interval data or consumption data every few seconds

CCU as Virtual Meter Register

Capability to receive over 3000 reads per second and stores 1 million reads

Alarms and Events

Outage, restoration, tamper, low battery

Incorporating

Application Knowledge Toolset

Incorporating

Revenue Protection

Incorporating

Identification of Imbalances Requires Analyzing Data Top Down

and Bottom Up

Substation

T1 T2

NO

C

C

C

C

C

SW

SW

SW

SW

Customer level characteristics

(monthly/hourly usage pattern)

Data Aggregation

(SCADA & billed usage)

Incorporating

Benefits of Tamper Detection Application

Minimize time frame in which utility

does not collect revenue by

“pushing” notification reports

Configure prioritization

(High/Med/Low) for tampers based

upon business rules

Efficiently dispatch resources

knowing what type (e.g. meter

reversal) and when the tamper was

reported

Incorporating

Run Multivariate Model for All Customers to Generate Baselines and

Weather Sensitivity

Incorporating

Quantify Magnitude of Possible Diversions

Gotcha?

Incorporating

Distribution Asset Optimization

Incorporating

Estimate Transformer Aging

Transformer Loss of Life

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of L

ife (M

inut

es)

Oklahoma City ºF LifeLoss (min)

Aging of an actual OG&E distribution transformer during 2002 summer season

95% of transformer aging in any given year happens over the course of just a few weeks

Overloading episode ages transformer, more so on hot days

Incorporating

Understanding Asset status is Key to Improving Distribution Reliability

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f T

ran

sfo

rmer

s at

eac

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vel

Traditional ApproachIdeal Asset Mgmt.

Ideal Loading

Over UtilizedUnder UtilizedReduced ReliabilityWasted Capital

MultiMulti--Million Dollar Decisions are made with information that is very Million Dollar Decisions are made with information that is very coarse. coarse.

Incorporating

DAO Concept is Simple

kWHkWH

Transformer Loads

Customer Usage

Feeder Loads Feeder Profile

Customer Profile

Customer Profile

Customer Profile

Transformer Profile

Transformer Profile

Transformer Profile

Incorporating

Transformer Analysis

Incorporating

The Big Picture: Utilization of Distribution System

Incorporating

Meter Data Management

Incorporating

It Takes More Than Meter Data to Create Value

Incorporating

Itron Enterprise Edition

Validation , Estimation and Editing

Complex calculations , aggregations, and losses

Collection scheduling and management

Export scheduling and management

User access

Reports and graphs

Event Normalizing and Storage

Billing (CIS)

Hand Held

Outage

Management

Data Analysis

Load Research

Load Forecasting

Distribution Asset Optimization

Substation Design

Marketing

MV-90

Other C&I

interval

collection

systems

Brokering of read request /response from CIS to multiple

meter reading systems in native formats

Compilation of readings from multiple reading systems

into single response for CIS

Route optimization interface

Reading system performance statistics and reporting

Permanent Data Storage and Version Control

Permanent Site Reference - Service Point/Premise

Mobile

Advanced

Meter Reading

Itron and other

vendors

Site

ReferenceEventsInterval Data CalculationsRegister Data Scheduling

SCADA

Itron Enterprise Edition

Web Based

Presentment

Incorporating

Customer Models Increase Knowledge

Aggregate models for every customer & compare to SCADA

SCADA data compared to aggregated customer models

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SCADA

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SCADA data compared to aggregated customer models

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Model

Incorporating

Knowledge to Shape your Future…

Fixed Network – More than Just Meter Reading…

Thank You.