Clean Energy at #CK2017 | Sumathy Krishnan, TIDE

1. VIDYUT RAKSHAKA (VR)
A CITIZEN FOCUSED ENERGY
EFFICIENCY PROGRAM
A TIDE-WRI India InitiativeConnect Karo 2017
Supported by

2. Flow of the presentation
 Setting the context
 Introducing Vidyut Rakshaka
(VR), a DSM initiative
 Recap of VR Phase I, July
2015-September 2016
 Updates in VR Phase II -
October 2016 onwards
 Opportunities and way
forward
 Challenges
 Discussion
2
* Disclaimer – Data reported are those shared by participants or ESCOM and are
used here to show trends only.

3. Setting the context
United Nations International Resource Panel(IRP) has outlined three
scenarios for resource use in 2050
3
Elephant in the boardroom – Unchecked consumption is NOT an option in tomorrow’s
markets – True for electricity also

4. Setting the context
4
 McKinsey & Company’s report Powering India -
The road to 2017
 Potential peak deficit in power is projected to be 70
GW when the demand is expected to be about 315 –
335 GW in 2017
 Adding capacity alone will not suffice as a response
to India’s soaring demand for power
 Create an action plan for an over 10% gain from
Demand Side Management.
DSM will remain a strong focus area in Electricity
management in India

5. About VIDYUT RAKSHAKA (VR)
 A citizen engagement, DSM
program for electricity
saving
 Nudge for behaviour change
and eventual shift to EE
 Customized engagement
with participants
 Sets goals, makes
recommendations, follows
up
 Has the support of BESCOM
 Innovative approach to sign
ups
 Awareness drives
through institutional
champions and pledges
 Steward driven
community drives
 Leverages social and
community influences
 Nurtures champions and
provides livelihoods
5
WHAT IS VR? Unique features

6. VR Phase I spread
6
Geographic
spread – 2
locations
(communiti
es) in
Bangalore,
448 house
holds

7. SNAP SHOT OF VR PHASE I
48% of VR participants reduced their monthly consumption,
averaging 17% savings
10% of participants who were increasing electricity consumption
year by year, reduced the consumption after enrolling in VR

8. How VR I worked?
 Worked with about a year’s consumption data and usage
data shared by participants; Towards the end of VR I, we
obtained historical data (from 2012) of participants
from BESCOM
 Created neighbour hood comparison, Ideal comparison
and Historical trend models for BHK categories and
slotted participants in these models.
 Report given with customized recommendations for
each participant to come to a lower consumption
category
 Follow up report was sent for each participant tracking
consumption and revising recommendations

9. Data analysis models
9
Neighbour hood model Ideal model Historical model
BHK as classifier in all models
Compares consumption (average
per month and per capita) of the
participant with the average
consumption in his/her
neighbourhood,
Compares consumption of
different categories of electricity
usage against an ideal model
created.
Captures consumption trend
from 2012 – robust and
eliminates seasonality, etc
Categories:
1. Energy Saver – Below
average
2. Champion – At average
3. Future champion – Above
average
Categories :
1. Lighting
2. Cooling
3. Heating
4. Appliances
5. Entertainment
6. Miscellaneous
Categories:
1. Consistent saver
2. Spender to saver
3. Consistent Spender
4. Saver to Saver
5. Random behaviour

10. USP of VR
 The survey captures usage behaviour of
participants
 These are analysed and linked to specific
recommendations leading to savings
 Each participant is then given a goal for saving
with a unique set of recommendations
10
One on one engagement with customized
recommendations

11. Visuals in customized reports
Neighbour hood
model
characterization
Ideal model
characterization
11

12. Characterization in VR I
12

13. Why was VR II conceptualized?
 Blue print for a citizen led
DSM program
 Showed potential for
voluntary reduction of
electricity consumption
 Scalable and replicable
methodology
 Expand the foot print of
VR I to a large set of
participants across
communities and across
cities
 Demonstrate sustained
savings
 Bring down the
neighbourhood and the
city consumption average
13
VR I PROVIDED VR II CONCEPTUALIZED TO

14. VR Phase II spread
14
1400+
househol
ds across
city and
growing

15. VR II finding - Saving behaviour
initiated in Phase I has sustained15
VR Neighbour hood category Lowering consumption Increasing consumption
Energy Saver 94 85
Champion 16 18
Future champion 119 108
Total 229 211
Trend in consumption of VR I
participants 52% 48%
48% 52%

16. Trends in consumption
Category Occupancy
2016 Monthly
consumption, Kwh
Per
Household Per capita
1 BHK 3.69 79.59 21.37
2 BHK 4.01 132.36 32.87
3 BHK 4.11 223.66 55.18
4 & above
BHK 4.95 249.09 49.78

17. Can VR counter the annual
increase in consumption?17
Increase in average monthly
consumption, 2014 to 2016
Category
No of
participants
%
increase
1 BHK 691 2.12%
2 BHK 414 1.10%
3 BHK 119 -3.42%
4 & above
BHK 36 -1.47%

18. VR will work by shifting electricity consumption
patterns through the following strategies
VR I focus VR II additional
focus
Idea extracted from : Elephant in the Boardroom: Why Unchecked Consumption
is Not an Option in Tomorrow’s Markets – A WRI publication
18

19. • Ensuring sustained savings by validating with data
• Also validate savings at Distribution Transformer level
• Identify potential EE solutions for residential sector
• Pilot aggregator approach for EE and RE in residential sector
• Consumer segregation for targeted impact
 Inputs for flexible policies to help overcome barriers in a highly
segregated consumer horizon
 Inputs to ensure electricity equity
• Understanding behaviour patterns over wider geography intra
and inter city (VR will launch in Chennai next year)
• Understanding social influences on consumption and its impacts
19
Opportunities for VR

20. What is unique about VR?
 Leverages social and community influences
 Gives insights into behaviour dimension of
energy use and consequently the actual impact
of efficiency programs
 No investment by ESCOMs on this DSM
 A minimal maintenance model is possible, once
the movement catches on and we have mobile
based apps and may be message alerting, etc

21. Understanding social impacts
Temperature
rise
Increased AC
penetration
in affluent
Urban
segment
Increased AC
consumption
by Affluent
Increase in
energy
Inequity /
Increased
emission
Lowering coping
capacity for low
and mid segment
to urban climate
change
21

22. Challenges
 Closing loop on follow ups – what worked, what
did not, etc
 Engagement with individuals without
community affiliation
 Ensuring uptake of EE by just being knowledge
providers and remaining agnostic to products /
brands
 Ensuring that policies support our approach and
philosophy on sustained reduction of electricity
consumption
22

23. Vidyut Rakshaka Mobile app
coming soon...23

24. GOAL FOR VR...
Going beyond achieving a 10% gain
from DSM,
Keep consumption flat or at least
lower than what is the predicted
increase

25. Thank you!
CONTACT :
K Sumathy, TIDE, k.sumathy@tide-india.org
Sumedha Malaviya– sumedha.malaviya@wri.org
Or vidyutrakshaka@gmail.com
Facebook :
http://www.facebook.com/vidyutrakshaka
Twitter: @vidyut_rakshaka