Demand response and
energy efficiency analytics
An Intelligent Utility Reality Webcast
10/15
August 2, 2012
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10/29
1/28
Demand response and
energy efficiency analytics
Jeff Reed
Sr. Program Manager - Energy Efficiency
Oncor
Donny Helm
Director - Technology Strategy and Architecture
Oncor
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Demand response and
energy efficiency analytics
H. Christine Richards
Director
Utility Analytics Institute
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Agenda
Introduction
• Overview of energy efficiency and demand response
• An analytics review
• Examples of how analytics can serve energy efficiency
and demand response efforts
The discussion
• Utility experiences with energy efficiency and demand
response analytics
• Q&A
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Energy efficiency and demand response
Program
development
Participant
recruitment
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Program
participation
Program
results
Utility analytics defined
Collected data
Grid
analytics
Customer
analytics
Other
analytics
ANALYTICS
Hardware
Software
Services
Process
10/15
10/29
1/28
People
Actionable insights
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Customer analytics
Customer operations
Customer engagement
Meter data analytics
Demand response programs
Credit and collections
Energy efficiency programs
Fraud detection
Distributed generation programs
Campaign management
10/15
10/29
Customer segmentation
1/28
Pricing optimization
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Examples of analytics that can support
energy efficiency and demand response
Analytics to understand
utility, regulatory,
partner and community
needs, and identify the
most cost-effective
program options
Analytics to segment
customers based on
energy usage,
demographics,
lifestyles and so forth
Analytics available to
customers/program
participants; real-time
analysis and automation
Analytics to evaluate
the effectiveness and
value of programs
Program
development
Participant
recruitment
Program
participation
Program
results
Analytics to simulate
program impacts on
communities and the
utility company
Analytics to determine
which customers will
respond best to
different programs,
and measure
enrollment rates
Real-time analysis and
coordination of
program events and
participants
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Management/Demand
Response Programs
Jeff Reed
Sr. Program Manager - Energy Efficiency
9
Summary
The terms Load Management and Demand Response are used
interchangeably in discussions about energy efficiency in Texas.
Oncor has offered several Standard Offer Load Management
programs. These programs employ the following elements:
• The programs are only offered during the Peak Season, June
excluding federal holidays
September, week days
• The programs are offered to Service Providers which can include the end use customer, REPs,
ESCOs and aggregators
• Oncor requests a curtailment and the Service Provider implements the curtailment
• Only sites that have an Interval Data Recorder (IDR) meter installed can participate in the
commercial programs so that Oncor can validate the performance of each Service Provider for
each curtailment
• In the commercial programs a Service Provider must apply for a minimum of 100 kW of
curtailable load
• A scheduled event is held at the start of each peak season to validate that a Service Provider
can curtail the contracted amount of kW and adjusted based on performance
10
Load Management for Commercial Customers
(2012 numbers are budgeted numbers)
kW Achieved
60,000
50,000
Cost per kW
40,000
$70
30,000
$60
$50
20,000
$40
10,000
$30
0
$20
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
$10
$0
Incentives paid
$2,500,000
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
$2,000,000
$1,500,000
$1,000,000
$500,000
$0
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
11
Load Management for Residential Customers
Cost per kW
$3,000
$2,500
$2,000
kW Achieved
4000
$1,500
3000
$1,000
$500
2000
$0
1000
2008
2009
2010
2011
0
2008
2009
2010
2011
Amount of kW achieved by year for LM
(Achieved kW is measured in a one hour increment)
Total Incentive Dollars to Aggregators
$1,000,000
$500,000
$0
2008
2009
2010
2011
12
Donny Helm
Director – Technology Strategy and Architecture
Oncor Electric Delivery
August 1, 2012
Demand Response (DR) Potential in ERCOT
FERC estimates >18 GW of DR potential in Texas by 2019
 Attributed to high peak demand
 This would represent 20-25% of total ERCOT peak!
Source: FERC 2009 National Assessment of DR, page 42
14
Texas Competitive Electricity Market
15
Advanced Metering System (AMS) –
The Players
Daily 15 Minute
Settlement
Transactions and
Market Transactions
Retail Electric Providers &
Third-Parties
TDSP IT System
ERCOT
Optional Path
for Retail
Electric
Provider
HAN Services
( Monthly Meter Readings and
Daily 15 Minute VEE Data )
Market Transactions
Meter / HAN
Services
( Daily and 15
Minute Meter Data)
Meter / HAN Services (thru Oncor system) and
Daily 15 Minute VEE Meter Data
Historic Daily 15 Minute VEE Meter
Data and limited Meter / HAN
Services
SMART METER TEXAS
Host (IBM)
Daily and 15 Minute Meter Data
Consumers
(X 3 million)
Perform HAN Transactions
16
Demand Response Challenges
Daily 15 Minute
Settlement
Transactions and
Market Transactions
TDSP IT System
Retail Electric Providers &
Third-Parties
D
e
m
a
n
d
R
e
s
p
o
n
s
e
Demand Response
ERCOT
( Monthly Meter Readings and
Daily 15 Minute VEE Data )
Market Transactions
Demand Response
Meter / HAN
Services
( Daily and 15
Minute Meter Data)
SMART METER TEXAS
Host (IBM)
Daily and 15 Minute Meter Data
Optional Path
for Retail
Electric
Provider
HAN Services
Meter / HAN Services (thru Oncor system) and
Daily 15 Minute VEE Meter Data
Historic Daily 15 Minute VEE Meter
Data and limited Meter / HAN
Services
Demand Response
Perform HAN Transactions
Consumers
(X 3 million)
17
ERCOT Perspectives – Demand Response
• 15-minute data and settlement should be a catalyst for expansion of DR
opportunities for residential & small commercial customer aggregations
• Direct load control enabled thru AMI/HAN or third-party products
• DR could be activated by customer, REP or third party, or automated
• Price Responsive Demand
– Critical peak pricing or other signals tied to real-time LMPs
• ISO-administered DR products
– Represented in ERCOT markets by DR-enabled QSE
– EILS today, potentially Ancillary Services in the future
• AMI data will also assist ERCOT in Load forecasting
– More granular meter data will assist ERCOT planning activities via improved
mid-term and long-term Load forecasting
18
Oncor Components Supporting Demand
Response Analytics
• 3+ million AMI meters providing 15-minute interval data
• Transmission & Distribution SCADA data
• Weather data
• Transactional and Aggregated Data Values
• Distribution Network Analysis application
• Operational Time-Series Data Stores for current analytics
• Relational & Time-Series Data Warehouse for historical analytics
• Integrated Transmission & Distribution Asset Model
• Business Intelligence Tool for End-Use Analytics
• Predictive Analytics and Business Rules Engine
• AIX Infrastructure
19
Q&A
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