"Data Analytics and Energy Efficiency Version 3.0" presented at the 6thRenewable Energy and Energy Efficiency Business Forum,14thDecember, 2013, IISWBM

1. Energy Efficiency Version 3.0
Umesh Bhutoria, Founder & CEO
E-Cube Energy Trading Private Limited
6th Renewable Energy and Energy Efficiency
Business Forum,14th December, 2013, IISWBM

2. Contents
• About E-Cube Energy
• Energy Efficiency in India – Brief History
• Gaps in Energy Efficiency Strategy
• Energy Efficiency Version 3.0
• Case Study- PAT Scheme Normalization
• Case Study- Electrical Motor DSM Programme

3. About EETPL
•
EETPL is an emerging player in the Energy Efficiency domain, working with energy intensive
industries to develop and implement sustainable energy efficiency practices.
•
EETPL has a 7 member team with complete focus on Energy Services. Our team has a mix of
Engineers, Energy Managers (MBA in Energy Management) and Analysts (Hons in Economics).
•
Our team has a combined experience of conducting over 40 energy audits across sectors like
Iron & Steel, Textiles, Tea Gardens and Power Plants.
•
This year alone we have conducted over 20 audits, identified energy saving potential of over
7000 MTOE.
•
Developed first of its kind web based Energy Information Management & Analytics Portal.

4. Clients

5. Energy Efficiency in IndiaHistory
EE Version 1.0
Source: AEEE EE Book
EE Version 2.0

6. Gaps in Energy Efficiency
Strategy
Monitoring
&
Verification
Energy Information
Management
Data Analytics
Cost and Reach of
Energy Services
Vendor/ Product
Driven Decision
making

7. Energy Efficiency
Version 3.0
Market Driven
Mechanisms
Target Reduction
Based Compliance (
Industrial Sector)
Energy Intensity (
production) based
target setting
Link with production,
process etc, need to
develop normalization
factors

8. Data AnalyticsWhat is it?
Analysis of data is a process of inspecting, cleaning,
transforming, and modelling data with the goal of
discovering useful information, suggesting conclusions,
and supporting decision making.
Source: Wikipedia

9. Data AnalyticsHow can it transform EE Markets
Enables Data Driven
Decision making process
Development of
normalization factors
EnPI based performance
assessment
Facilitates Demand and
Supply side initiatives.
Trend Analysis, foster
R&D at plant level

10. Case StudyNormalization (PAT Scheme)
A
16% Decrease in
GTG SEC
After normalization for
Power Mix GTG SEC
shows a decrease of
9%
D
Analysis on count
variation shows an
increase of 1% on
GTG SEC
As per the M&V
records expected
reduction in GTG
SEC is 0.5%
B
Statistical analysis on
product mix change
indicates a decrease
in GTG SEC of 11%
C
Actual Change in
SEC= -A +B – C –D
+0.5%

11. Case StudyElectric Motor DSM Programme
Audited over 2000
Motors
Established saving
potential of over 2.5
Million kWh
Performance
Assessment of key
parameters in respect
to rated parameters
Assessment of
demand/load variation
owing to production
process
>60% of the savings
from DSM and
retrofitting
~20% of the savings
envisaged through
assessment of KPIs
based on historical
data

12. Thank You!
umesh@eetpl.in | +91 98310 12510