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Energy Usage Reduction and Demand Response:
A Social-Psychological Approach
Dr. Xiaojing Xu Dr. Chien-fei Chen
!!
June 18th, 2014
Outline
❖ Our research topics ◇ Why reduce energy use? ◇ Why demand response? !
❖ Major contributions of social psychology approach ❖ Our studies ❖ Brief introduction of social psychology research
methods
Electricity Usage Reduction
• Absolute reduction ◖ Curtailment behaviors (mostly habits) ◖ Energy efficient behaviors (mostly purchases)
• Demand response (time shifting) ◖ Electricity usage shifting across time ◖ Purchase of appliances with automation
features. ◖ Registering devices with utility companies
Contribution 1– Social Norm Approach
• Social norms (Cialdini, 1994): injunctive norms (what others approve, “what should be done”) vs. descriptive (what others actually do)
Below “Please reuse your towels” !Control: HELP SAVE THE ENVIRONMENT. You can show your respect for nature and help save the environment by reusing your towels during your stay
Social Norm: JOIN YOUR FELLOW GUESTS IN HELPING TO SAVE THE ENVIRONMENT. Almost 75% of guests who are asked to participate in our new resource savings program do help by using their towels more than once. You can join your fellow guests in this program to help save the environment by reusing your towels during your stay.
Recycling Towels in Hotels:Evidence for the Power of Descriptive Norms
Goldstein, Cialdini, & Griskevicius (2008, J of Consumer Research)
Social Norms Approach: Opower
Contribution 2– Message Framing
• Program A: If Program A is adopted, 200 people will be saved.
• Program B: If Program B is adopted, there is 1/3 probability that 600 people will be saved, and 2/3 probability that no people will be saved. !
• Program C: If Program C is adopted 400 people will die.
• Program D: If Program D is adopted there is 1/3 probability that nobody will die, and 2/3 probability that 600 people will die.
Contribution 2– Message Framing
• Framing ◖ Perspective theory: people respond to losses
more than they do to gains “If you do not insulate your windows, you are losing $50 dollars every month.” “If you insulate your windows, you will be gaining $50 dollars every month.”
Message Framing– Our Study
• Goal: ◖ Environmental benefits vs. financial benefits ◖ Short-term benefits vs. long-term benefits ◖ Outcome variables: 1. attitude towards saving
electricity & perceived efficacy • Method: 292 American residents through
Amazon Mturk. ◖ Dispositional environmental attitude was
measured ◖ With a 2×2 experimental design, participants were
randomly assigned to 4 conditions.
10
Economic, Long-Term
11
Message Design
• Results: ◖ Environmental benefits produced more positive
attitudes towards electricity saving than financial benefits;
◖ Long-term benefits induced higher perceived efficacy for people with higher environmental concern, while short-term benefits induced higher perceived efficacy for people with lower environmental concern.
• Implications: ◖ Pay attention to individual differences and group/
organizational cultures when designing messages for building energy saving programs.
12
Message Framing - Other
• Anthropomorphism (e.g., “mother earth”)
Smart Grid and Smart Meter
• Smart Meter is an important part of Smart Grid
• In the US, approximately 22 million smart meters had been deployed in 2011;
• By the end of this decade, smart meters may by deployed to almost all US households.
https://www.psoklahoma.com/save/SmartMeters/HowSmartMetersWork.aspx
Advanced Metering Infrastructure
- SAY NO to health effects from radiation - SAY NO to increased utility costs - SAY NO to required appliance change outs - SAY NO to invasion of privacy - SAY NO to remote shut downs - SAY NO to uninsurable consequences
The Questions Are…
• What are the drivers and barriers? • How to better educate people and promote
the use of smart meters?
Usefulness privacy
Useful2
Useful1
Useful8
Useful3
Useful4
Useful5
Useful6
Cost/Fee
Money Money2
Money1
Money3
Money4
Money6
Priv4R Priv6RPriv5R Priv7R
EnvironEnviron2
Environ1
Price2 Price3
Trust
Trust1 Trust2 Trust3 Trust4
Support
Environ4
Environ3
.81
.90
.90
.81
.91.86
.74
.62
.64
.79
.78
.75
.91
.96
.84
.76
.74 .87 .94 .95
.96
.93 .85
.84 .84 .94
-.14, p < .001.51, p < .001
.008, p = .820
.114, p = .002
.022, p = .483
-.096, p = .005
.47
Next, the questions are…
• Does installing a Smart Meter direct lead to energy saving and active demand response? !
• If feedback is the key, what feedback program works best? (frequency, channel, absolute vs. comparative, unit?) !
• Long-term effect?
The Effectiveness of Feedback Programs
20
Random Selection (Sample)
Experimental Group 1
Experimental Group 3
Experimental Group 2
Control Group
Baseline Measurement
Manipulation 1 Manipulation 3Manipulation 2 No Manipulation
Post-Experiment Measurement
Outcome 1 Outcome 3Outcome 2 Outcome 4
DV
IV
2nd Measurement
Population
Demand Response
The questions are…
• How to get people better respond to dynamic pricing and other financial incentives?
• How to encourage people to accept automation? • Any social incentives (e.g., identification,
competition) that can be more effective?
Demand Response & Customer Segmentation
• Goal: 1) understanding the reward-response connection; 2) Identifying the customer segment that responds to demand response programs the best/worst, and helping with developing targeted demand response (DR) programs. !
• Method: 711 U.S. residents across 48 states participated in an online survey !▪ People chose the minimum amount of monetary rewards that they would
need in exchange for adopting heating & cooling (HC)-related DR behaviors:
▪ 1) Adjusting HC thermal setting by 2-3oF when at home ▪ 2) Adjusting HC thermal setting by 5oF or more (or shutting off HC)
before leaving home ▪ 3) Allowing utility companies to adjust HC thermal setting by 2-3oF
when needed ▪ 4) Shutting down HC for 10 (& 30) minutes in response to emergency
messages People chose ▪ Social-psychological variables & demographics were measured Measuring social-psychological variables
23
Demand Response & Customer Segmentation
24
0.0%
20.0%
40.0%
60.0%
80.0%
Adjust 2-3°F_at home Emergency shut down 10mins
0.511
0.719
0.3630.3430.330.291
0.544
0.1970.2250.156 0.146
0.303
0.0930.16
0.086
no rewardsno rewards or a reward <5% monthly billno reward or a reward <10% monthly bill
rat
es
in
res
po nd ent
s
Figure: adoption rates with no rewards, a reward <5% monthly bill, or a reward <10% monthly bill
Demand Response & Customer Segmentation
• A two-step cluster analysis and a K-mean cluster analysis were conducted with respondents’ answers as clustering variables
• A 3-cluster solution turned out to yield the most distinguishable and interpretable clusters. !!!!!!!!!
Figure: adoption rates in different clusters with no rewards or a reward <5% monthly bill.
most cooperative
0.0%
20.0%
40.0%
60.0%
80.0%
Adjust HC for 2-3°F_at home Emergency shut down 10mins
0.030
0.030.080.07
0.229
0.549
0.030.0670.054
0.46
0.756
0.4360.45
0.292
Cluster 1 (n=291)Cluster 2 (n=297)Cluster 3 (n=116)
n rate
s in
cl
uste
rs
25
Demand Response & Customer Segmentation
• Features of the cooperative cluster !!!!!!!!!!!
• Implications for industry practice ◖ Focus on particular groups ◖ Appropriately address customers’ concern for comfort ◖ Build relationship with customers, enhance trust
26
The Cooperative Cluster
Lower Comfort Need in Summer
Higher Concern
for Environme
ntal Impacts
Higher Trust in Utility
Company
Younger More Renters
More Smaller Homes
Summary- What social psychology offers
• Theories ◖ Decision-making models ▪ E.g., perspective theory (gain-loss framing)
◖ Behavioral models ▪ E.g., Technology acceptance model; Theory of
planned behavior; Value-Belief-Norm model… !
• Empirical evidence ◖ Surveys ◖ Experiments
• Look at the question under the question
Summary• Why is saving energy important • Why is the behavioral approach important • Different types of electricity conservation ◖ Absolute reduction vs. Time shifting
• Social psychology studies ◖ Social Norm Approach- Hotel towel & Opower
• Social psychology research methods ◖ Survey & Experiments
• What social psychology can offer • Challenges: smart meter deployment & demand
response
Thank you! !
Questions?
29