VIDYUT RAKSHAKA (VR)A CITIZEN FOCUSED ENERGY

EFFICIENCY PROGRAM

A TIDE-WRI India Initiative Connect Karo 2017

Supported by

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

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* Disclaimer – Data reported are those shared by participants or ESCOM and are used here to show trends only.

Setting the context

United Nations International Resource Panel(IRP) has outlined three scenarios for resource use in 2050

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Elephant in the boardroom – Unchecked consumption is NOT an option in tomorrow’s markets – True for electricity also

Setting the context

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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

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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

WHAT IS VR? Unique features

VR Phase I spread6

Geographic spread – 2 locations (communities) in Bangalore, 448 house holds

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

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

Data analysis models9

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

average2. Champion – At average3. Future champion – Above

average

Categories :1. Lighting2. Cooling3. Heating4. Appliances5. Entertainment6. Miscellaneous

Categories:1. Consistent saver2. Spender to saver3. Consistent Spender4. Saver to Saver5. Random behaviour

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

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One on one engagement with customized recommendations

Visuals in customized reports

Neighbour hood model characterization

Ideal model characterization

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Characterization in VR I12

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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

VR I PROVIDED VR II CONCEPTUALIZED TO

VR Phase II spread14

1400+ households across city and growing

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VR II finding - Saving behaviour initiated in Phase I has sustained

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%

Trends in consumption

Category Occupancy2016 Monthly

consumption, KwhPer

Household Per capita1 BHK 3.69 79.59 21.372 BHK 4.01 132.36 32.873 BHK 4.11 223.66 55.184 & above BHK 4.95 249.09 49.78

Can VR counter the annual increase in consumption?

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Increase in average monthly consumption, 2014 to 2016

CategoryNo of

participants%

increase1 BHK 691 2.12%2 BHK 414 1.10%3 BHK 119 -3.42%4 & above BHK 36 -1.47%

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

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• 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

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Opportunities for VR

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

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

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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

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Vidyut Rakshaka Mobile app coming soon...

GOAL FOR VR...

Going beyond achieving a 10% gain from DSM,

Keep consumption flat or at least lower than what is the predicted increase

Thank you!

CONTACT :K Sumathy, TIDE, k.sumathy@tide-india.orgSumedha Malaviya– sumedha.malaviya@wri.org Or vidyutrakshaka@gmail.com

Facebook : http://www.facebook.com/vidyutrakshaka

Twitter: @vidyut_rakshaka