Residential Customer Engagement
•
What does it mean to engage?
•
Merriam-Webster says…
SGCC's Consumer Pulse and Market
Segmentation Wave 5 Study
Patty Durand, Executive Director
Smart Grid Consumer Collaborative
How does one target and engage various consumer
segments to participate in energy efficiency and
demand response programs?
The U.S. Population by Segment
Why does segmentation matter and what is a
segmentation framework?
Green Champions
Key Demographics
• Youngest, and higher than average income, despite youth
• More likely than most to live in an apartment, but their bill is still relatively high
• College educated, working, and living in suburban areas
Distinctive Attitudes and Behaviors
• Early adopters of technology
• Average level of utility satisfaction, and want a choice of providers
• Attach high importance to Smart Grid benefits, especially greenhouse gas reduction
• Highest interest in pricing options • Highest Interest in new utility services
“Smart energy technologies fit our environmentally aware, high-tech lifestyles.”
Saving Seekers
Key Demographics
• Many younger than 35; few older than 65
• Lowest income; highest percentage of low-income households (43%)
• Three quarters live in single family homes • Average electric bill
Distinctive Attitudes and Behaviors
• Low satisfaction with current provider, and want a choice
• Low awareness of, and favorability toward, Smart Grid/Meters
• High interest in pricing options
• Average level of interest in new utility services
“How can smart energy programs help us save money?”
Status Quo
Key Demographics
• Relatively older age, many retirees • Smaller households
• Middle income
• Lower than average electric bill
Distinctive Attitudes and Behaviors
• Low Smart Grid/Meter awareness and favorability • Know little about energy efficiency, and don’t think it’s
important
• Very satisfied with and favorable toward current provider
• Don’t feel they need a choice of providers and, if forced to choose, would prefer to purchase from current provider
• Do not attach high importance to Smart Grid benefits, or smart technology programs and services
“We’re okay; you can leave us alone.”
Technology Cautious
Key Demographics
• Relatively older age, retired, few people in household • Second lowest segment in average income
• Lower than average electric bill
Distinctive Attitudes and Behaviors
• Relatively high Smart Grid/Meter awareness and favorability
• Knowledgeable about energy efficiency
• Very satisfied with and favorable toward current utility and more likely to agree their electric utility has improved versus five years ago
• If forced to choose, would prefer to purchase from current provider
• Do not attach high importance to Smart Grid benefits, or smart technology programs and services
“We want to use energy wisely, but we don’t see how technologies can help.”
Movers and Shakers
Key Characteristics
• Working, college educated • Highest average bill
• Highest income
• Higher concentration on Pacific Coast, more likely suburban than most
Distinctive Attitudes and Behaviors
• Attach above average importance to home energy efficiency
• High level of energy efficiency knowledge • Low satisfaction and want a choice of providers • Least likely to believe their utility does what they say
or works in the best interest of the consumer • Prefer comfort, time, and ease over savings • Average level of interest in pricing options • High interest in new energy technologies
“Impress us with smart energy technology and maybe we will start to like the utility more.”
What other programs and benefits of a smart grid are consumers
interested in?
Time-Of-Use Pricing
Likelihood to Participate: TOU Pricing
Base: Total Consumers
A,B,C,D,E indicate significant differences between segments
indicate a significant increase or decrease between current and previous waves AP1. If you were offered this program, how likely would you be to participate?
Already Participating
Total Would Participate
Definitely Would
Probably Would
Might or Might Not
Would Not
Total Status Quo (A)
Technology
Cautious (B) Savings Seekers (C) Movers and Shakers (D) Green Champions (E)
n=1,004/1,234 220 206 201 168 209 2% 44% 15% 29% 28% 26% 1% 49% 16% 33% 27% 22% 2% 34% 10% 24% 27% 37% 1% 53% 19% 34% 23% 23% 3% 44% 15% 29% 30% 23% 1% 53% 21% 32% 30% 16% 2% 32% 7% 25% 28% 38% AB AB CDE CDE A A AB W5|W1
Already Participating
Total Would Participate
Definitely Would
Probably Would
Might or Might Not
Would Not 0% 43% 17% 26% 31% 26%
Critical Peak Rebates
Likelihood to Participate: Critical Peak Rebates
Base: Total Consumers
A,B,C,D,E indicate significant differences between segments
indicate a significant increase or decrease between current and previous waves AP2. If you were offered this program, how likely would you be to participate?
Total Status Quo (A)
Technology
Cautious (B) Savings Seekers (C) Movers and Shakers (D) Green Champions (E)
n=1,004/1,234 220 206 201 168 209 1% 60% 24% 36% 19% 20% 1% 62% 23% 39% 21% 16% 0% 44% 14% 30% 27% 29% 1% 83% 32% 51% 11% 5% 1% 81% 36% 45% 8% 10% 0% 29% 9% 20% 29% 42% A ABD A ABD CE CE BCDE CE CE ABD ABD ABD ABD CE W5|W1
Critical Peak Pricing
Base: Total Consumers
A,B,C,D,E indicate significant differences between segments
indicate a significant increase or decrease between current and previous waves AP2A. If you were offered this program, how likely would you be to participate?
Likelihood to Participate: Critical Peak Pricing
Total Status Quo (A)
Technology
Cautious (B) Savings Seekers (C) Movers and Shakers (D) Green Champions (E)
n=1004 220 206 201 168 209
Already Participating
Total Would Participate
Definitely Would
Probably Would
Might or Might Not
Would Not 1% 24% 6% 18% 23% 52% 0% 34% 5% 29% 18% 45% 1% 19% 6% 13% 22% 57% 1% 26% 7% 18% 23% 50% 0% 20% 3% 17% 22% 57% ABD C ABDE 0% 19% 6% 13% 26% 54%
Demand Response Pricing
Base: Total Consumers
A,B,C,D,E indicate significant differences between segments
indicate a significant increase or decrease between current and previous waves AP2B. If you were offered this program, how likely would you be to participate?
Likelihood to Participate: Demand Response Pricing
Already Participating
Total Would Participate
Definitely Would
Probably Would
Might or Might Not
Would Not 2% 39% 10% 29% 22% 38% 1% 26% 7% 19% 28% 44% 4% 47% 11% 36% 16% 32% 1% 29% 9% 20% 24% 46% 0% 57% 16% 41% 18% 25% 1% 21% 4% 17% 25% 53% ABD ABD CE CE CE CE E A AB ABD ABD
Total Status Quo (A)
Technology
Cautious (B) Savings Seekers (C) Movers and Shakers (D) Green Champions (E)
n=1004 220 206 201 168 209
Consumers agree that the benefits of smart grid technology are of
high importance
• Most consumers rated preventing and reducing the length of outages (86%), ability to connect to renewable energy sources (89%), and near real-time energy information (86%) as being important benefits of smart grid.
SGCC’s Research Path
Environmental
Economic
Reliability
Smart Grid enables scale up of renewables & customers can access
distributed generation
Customer savings from peak time rebate and
other dynamic/time variant prices
Outage avoidance
Ability for consumers to access to distributed
generation Enabling
choice/empowerment/per sonal management with
prices
Improvement in line loss reductions enabled by smart grid technology
Quick recovery restoration or self-healing
benefits Customer service
improvements to customer during outage or unusual circumstances Reduction in Greenhouse
Gas Emissions enabled by smart grid
Peak load reductions enabled by demand response programs
Smart Grid Consumer Collaborative
PATTY DURAND, Executive Director
[email protected]
@PattyDurandSGCC
678-467-0148
DR Trends in a
Rapidly-Changing Landscape
K.C. Boyce
Director of Custom Research, Chartwell
April 29, 2015
2%
4%
12%
25%
28%
29%
Marketing - outreach events, sponsorship,
corporate citizenship
Proactive communications
Opportunities to save energy
Outages
Customer Service
Billing
Which of the following impacts your customer experience
with your utility the most?
Savings Impact Consumers’ Experience
Consumer Product Interest
32%
48%
54%
68%
69%
70%
Electric Vehicle/Plug-In Hybrid
Mobile App to Control Usage
Home Energy Management System
In-Home Display
Programmable Communicating Thermostat
"Self-Regulating" Equipment
Top 2 Box
Loss Aversion Drives Pricing Interest
28%
37%
40%
44%
60%
74%
Prepay
Real-time pricing
Time-of-use
Thermostat DR program
"Leveled" or "budget" billing
Critical Peak Rebate
Interest in Pricing Programs
(Top 2 Box)
Expectation of Savings are Large
37% 34% 29% 33% 30% $50-$100 $101-$150 $151-$200 $201-$250 $251-$300Savings Needed to Pay Greater Attention to Usage
Av
er
ag
e
M
on
th
ly
B
ill
70% 69% 68% 65% 59% 32% 69% 29% 45% 73% 57% 12% Self-regulating
equipment communicatingProgrammable thermostat
In-home device Online energy audit In-home energy audit Purchasing an EV
Consumer Interest - Top 2 Box Utilities Offering Related Program
DR Program Prevalence
Source: Chartwell 2015 Energy Programs Web Survey
80%
36%
34%
14%
14%
14%
8%
6%
4%
Top barriers to customer participation
•
Customer awareness
•
Lack of a compelling offering (e.g., marketing message
that moves customers to action)
•
Low return on investment
•
Concern about utility control of comfort/convenience
Utilities have a very different view of the value of DR & EE than our
customers do
27 Source: Duke Energy
EE-DR Integration
Jointly, 8 Jointly, 6 Separately, 4 Separately, 4 Other, 1 Other, 2Are your utility's EE and DR programs managed… Are your utility's EE and DR programs marketed to customers…
Shall I Compare Thee On a
Summer’s Day?
Recency Surveys: measuring how a residential
air conditioner DR program affects customers
Short-term inconvenience for long-term
benefits?
•
The benefits of demand
response are well known
•
But customers pay an
inconvenience cost
•
May affect customer satisfaction
•
May affect participation rates
•
How do we measure this
The Program
Residential DR
- five states
- 250,000+
participants.
Switch
devices
cycle AC
units on
and off
Peak demand:
summer
weekdays
with high
temperature
Expect 5
to 10
events
per year
Customer engagement
This study informs operational
decisions:
•
How does timing of events affect customers?
•
How does weather interact with events?
•
How do “full shed” events compare to
normal “cycling” events?
•
Is there snapback?
The Survey: A Quasi-Experimental Design
Survey within 48 hours of events
•
Activities
•
Comfort level
•
Awareness that their devices
have been activated
•
Program and utility satisfaction
Survey within 48 hours of hot
days without events
•
Equivalent survey questions
•
Identical sample frame
EVENT
SURVEYS
NON-EVENT
SURVEYS
The Results
•
Very few customers are aware that events occur.
•
Aware of event in past 48 hours (2014):
•
There are no significant differences in behavior
•
Thermostat adjustments
•
Use of fans and window units
•
No significant differences in satisfaction either.
10%
4%
Measuring participant comfort
•
Ten-point (1-10) comfort ratings scales are used
•
Compare ratings “before” and “during” event/non-event time periods
During time period:
Activation time between 1-6pm
During time period:
2:30-5pm (typical event time frame)
EVENTS
NON-EVENTS
Rating before:8.7
Rating before:8.6
Rating
during:
8.2
Rating
during:
8.5
The Results
Customers are more likely to experience a
comfort decline
•
Participants reporting a decline in comfort (2014):
23%
9%
Device activation affects comfort
However the differences are usually marginal
A majority
surveyed after
events do not
report any
decline in
comfort.
Among the
minority with a
decline, ratings
fall from “8-9”
to “6-7”
Only 1% report
comfort ratings
below “5”
Comfort decline and awareness
• Most mention: “Rising
outdoor temperatures”
• Secondary mention: “Rising
humidity”
• Only about 10% mention
events.
What do
they think
caused their
decline in
comfort?
Comfort decline and awareness
• Very few are aware their
devices have been activated,
but everyone knows when it is
hot outside!
Hot days and
events
correspond -
this masks the
effect of
events
Research Challenges
•
Every summer is different!
•
The relationship between weather and
capacity prices may change over time,
changing the effect on participants.
•
If it is economical to have more events on days
that are not as hot
•
If it is not economical to have events even on
Engaging Residential Consumers
Amena Ali, SVP & GM, WeatherBug Home
Weather matters: Weather is the biggest driver
of home energy use
www.peakload.org
Consumer Engagement with Weather
0.16 4.03 4.63 5.33 7.68 8.97 9.43 9.57 14.57 14.74 15.00 15.87 16.13 16.23 18.69 19.18 19.88 20.64 27.18 27.72 29.90 33.07 43.13 51.51 65.90 Finance/Insurance/Investm…Education/Careers Real EstateAutomotive Business/Finance NewsHealth/Fitness Travel/VacationTV Technology/ScienceFood/Dining Games Banking/Online…Sports
Videos/Movies Shopping/AuctionsInstant Messaging City Guides/MapsMusic News & Current EventsEntertainment Social NetworkingWeather SearchE-Mail Portals
Mobile Subscriber Penetration (%) among content sites
Weather is the #1 Mobile Content Category
http://www.weatherbughome.com
www.peakload.org
What if We Engage Consumers for Energy When They
Come for Weather?
Link weather
to energy use
Real-time and
Interactive
www.peakload.org
650,000 Consumers Engaged with Energy
150,000 consumers interacted
with the thermostat slider
Average time/visit: 4 mins, 21 secs
www.peakload.org
Consumer Feedback
Over 3K consumers provided feedback, interested and engaged with energy
and connected devices:
•
47%
very interested/interested in seeing their daily whole energy use
•
47%
very interested/interested in learning about their home’s energy
efficiency
•
45%
very interested/interested in learning about connected tstats/devices
to increase their comfort and home energy efficiency
•
36%
currently own a connected tstat/device
www.peakload.org
House A
•
5 Bedrooms
•
3.5 Baths
•
3,806 sq. ft.
Built in 2001
PERSONALIZATION: Two Houses, Same Street,
Same Energy Profile?
House B
•
5 Bedrooms
•
3.5 Baths
•
3,670 sq. ft.
Built in 1998
http://www.weatherbughome.comHome Insight ScoreCard Comparison
www.peakload.org
Personalized Analytics Are Key
House
A
House
B
www.peakload.org
Consumers Value Personalized Analytics
Most Helpful Sections:
#1
#2 - tie
#2 - tie
Top two box rating (scale of 1-5) on the
ScoreCard:
•
88% its easy to understand
•
54% it was very helpful/helpful in saving
them energy
•
71% it helped them understand HOW they’re
using energy
•
56% it helped them understand WHY they’re
using energy
•
66% are more mindful of their energy use
because the SC
•
63% are more likely/likely to recommend
their utility provider (REP) because the SC
Notable comments:
“I would like to understand more about setting the thermostat and best way of managing heat/cool?” “I'm very thankful for this analysis. It has helped tremendously with my usage goals.”
54
www.peakload.org