ENVOGUE is the official newsletter of E-Cube Energy Trading Private Limited. It intends to bring in some fresh and independent perspective on the energy efficiency markets in India.

1. ENVOGUE | ENERGY TRENDING | Issue1
1
ENVOGUE
Energy
Trending
March’14 Edition
ENERGY EFFICIENCY | NEW CHALLENGES | NEW PERSPECTIVES
CEO SPEAK
2013 was truly a great year for E-Cube
Energy! Thanks to the support and feedback
received from our clients and well-wishers.
Over the years, we have successfully
emerged as one of the prominent players in
the energy efficiency domain.
Our team will always remain committed to
work with its client in a convened manner to
develop and implement sustainable energy
efficiency practices!
We intend to reinforce our commitment by
engaging with our clients and keeping them
abreast about the developments in the
energy efficiency domain and our
contributory work therein.
ENVOGUE is the official newsletter from the
E-Cube Energy’s stable! We hope this would
be a meaningful step forward in bolstering
our commitment. Your feedback/comments
can be immensely helpful in improving our
services further and strengthen our resolve,
hence they are earnestly invited.
Efficiently Yours,
Umesh Bhutoria
IN THIS ISSUE
Focus at Efficiency
Sector in focus:
Textile!
Case Study on Humidification Plants,
Textile Sector
Page 2
The E-Cube Perspective
Success Highlight!!
E-Cube Energy has been
awarded the contract for
detailed
performance
assessment of electrical
motors for all the Yarn
Business Units of RSWM
Limited!
This comes in the
backdrop of successful
audit conducted at the
Mélange unit.
Our analysis of the proposed changes
in Form 1 for the Textile Sector
Page 3
Normalization Factor AdjustmentHow does it impact SEC calculations?
Page 4
The E-Cube Advantage
Electric Motors- World of Energy
Saving Opportunities
Page5
Energy Information Management
System –En-View
Page 6
The India story
Importance of Data Analytics in
Textile Sector
Page 7
Food for thought!
Why should PAT Scheme be made
bigger?
Page 8
Ask | Innovate | Reduce

2. ENVOGUE | ENERGY TRENDING | Issue1
Focus at Efficiency:-
2
Energy Efficiency Opportunities: Humidification Plants,
Textile Sector
H Plant
15%
Most Spinning Units consume almost 12%17% of total electricity in H Plant.
At modest energy saving potential, H Plants
have potential to reduce almost 2% of the
total electricity consumption of the plant!
Rest of
the plant
85%
% Power Consumption
Typical Energy Saving Potential
kWh/M3
Heat Load
Water Flow
Requirement
Ambient
Conditions
Fan Efficiency
Required
Conditions
Pump
Efficiency
Air Flow
Requirement
Hourly
Stimulation
Model
Key Performance Parameters for Performance Assessment of Humidification Plants
Case Study- Spinning Unit, Rajasthan –Our Deeds and Achievements

Stimulated air, water requirements for Heat Load of each section, compared it with
design parameters

Measured Key Performance Parameters for each of the Motor-Fan combination (
Static Pressure, Initial Power Requirement, Time to attain max speed, kWh/M3)

Suggested change in the motor-fan combination and stimulation model in order to
gain better understanding of requirement and hence institute supply side
management
15%-20% Reduction
in Motor-Fan
electricity
consumption
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3. ENVOGUE | ENERGY TRENDING | Issue1
The E-Cube Perspective:-
3
Feedback on the major changes in the Form 1– Spinning &
Processing, Textile Sector.
Changes in the Form 1 are in the right direction and are aimed to get more information on parameters that affect GTG SEC. We have
reviewed the form 1 and have placed our comments on major changes as given below:Sl No
Change
Change/Addition
Applicable for Spinning
Applicable for Processing
01
Energy Data Fields
Addition
Addition of UKG and energy
consumption for OE, TFO and
doubling.
SEC and Energy consumption
product wise.
02
Production Data
Fields
Addition
Addition of TFO, Doubling and OE
Production along with capacity
utilization.
Product wise production details
required. Only two product lines
have been listed.
03
Boiler Details
Addition
Addition of boiler performance
details as Annexure 1
Addition of boiler performance
details as Annexure 1
04
SEC Calculations and
other key parameters
calculations
Removed from
Form 1
Not shown
Not Shown
05
Avg Count
Removed from new
Form 1
Not asked for in any of the fields
NOT APPLICABLE
06
Capacity Utilization
Modification
For spinning Capacity Utilization
would be calculated based on
installed spindles and utilized
spindles.
NOT APPLICABLE
07
Non Productive
Energy Accounting
Maintain Separate
Record
Separate Energy Accounting and metering for all consumption nonproductive consumption points
Normalization Factors
Considering that Textile Process is very dynamic and energy consumption/SEC is a function of lot of variables, the Textile Sub
Committee has included the following Key Process Parameters as Normalization Factors to be considered at the time of final
verification.
1.
Import & Export of Intermediary product
8. Product Mix
2.
3.
Value added product
SEC calculation of Spinning Sub-Group
9. Capacity utilization
10. Coal quality of CPP & PLF of CPP
4. Finished Fabric for Composite Sub Group
5.
SEC calculation of Composite Sub-Group
6. Weaving Production & Knitting Production
7. Power Mix
11.
Natural calamity/Rioting/Social unrest/ Environmental
concern (Additional Environmental Equipment
requirement due to major change in government policy
on Environment)
BEE is also working on “Deepening of PAT Scheme”, which essentially means that PAT Scheme is going to
get bigger and better! For more details refer to Page No. 8
Ask | Innovate | Reduce

4. ENVOGUE | ENERGY TRENDING | Issue1
The E-Cube Perspective:-
4
Normalization Factor Adjustment-How does it really effect
SEC calculation?
Normalization Factor Adjustment has added a new dimension to the PAT Scheme, however in morde developed markets like Europe
or USA, Normalization Factor Development is a key part of overall Monitoring & Verification exercise.
In the case study below we look at how product mix impacts the energy consumption and SEC calculations and what is the right way to
adjust the same?
Actual Scenario
Yarn A
Baseline
Compliance
% Change
Yarn B
Yarn C
11.32%
22.24%
10.92%
33.72%
26.20%
-7.51%
Electricity in
MkWh
38.02
43.58
14.62%
54.97%
51.56%
-3.41%
UKG (Actual)
2.79
2.85
2.15%
Baseline Vs Compliance Period
60.00%
50.00%
40.00%
30.00%
20.00%
10.00%
0.00%
44.00
42.00
40.00
38.00
36.00
34.00
Baseline
Compliance
Electricty in mkWh
Yarn A
Yarn B
Yarn C
Scenario after Statistical Analysis
Yarn Type A
Yarn Type B
Yarn Type C
3.56
3.30
2.37
Calculated UKG Contribution
for Baseline
0.403
1.113
1.303
Calculated UKG Contribution
for Compliance
0.792
0.865
1.222
UKG Index
Expected Change in UKG
attributed to Product Mix
2.13%
Actual Change in UKG
2.15%
Change in UKG attributed to
factor other factors
0.02%
Inference
Staistical analysis of the data shows that the variation in product mix (Normalization Factor chosen for this case study) contributed to a
part of the increase, the difference is a result of other factors like Count Variation, Energy Efficiency Projects implemeted etc. Its quite
clear that there has to be detailed analysis of the energy consumption as fucntion of Key Performance Parameters/ Normalization
Factors for “close to accurate” assessment of SEC.
Ask | Innovate | Reduce

5. ENVOGUE | ENERGY TRENDING | Issue1
The E-Cube Advantage:-
5
Electric Motors- World of Opportunities!
Most of you reading the article would be knowing the facts mentioned in the tab on
the right hand side. So the real question is what do you do for it?
You spend Lakhs on pruchase of energy efficienct motors, but you are completely
unaware about its operational parameters. Do you really know if its operating at it’s
rated efficiency? If you do not, then how would you justify the investment?
●
●
●
In most processes, the motor is made to
deviate from its “optimum performance
range”, thereby providing significant
energy saving opportunity.
But to evaluate that one needs to have
enough data and the ability to correctly
interpret it!
●
●
●
How can our Motor Performance Assessment Tool help?
Access to Motor
Performance
Assessment tools
Design projects on
Demand and Supply Side
optimization
Study on Motor
Peformance Parameters
in relation with
production process and
parameters
Enable "Data Drive"
decision making process.
Maintenance History
Management
Did you know?
1. Globally 45% of energy
consumed across electric
motors!
2. OEMs design machines
to work for a range of
production
process/parameters, and
hence “Energy
Optimization” offers a
significant energy saving
potential.
3. “Data Analytics” would
play significant role in
fostering energy
efficiency practices.
4. Most of the motors in
the processing industries
do not operate in the
optimum performance
range!
5. Just replacing an existing
motor with an energy
efficient one does not
always save energy
always!
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6. ENVOGUE | ENERGY TRENDING | Issue1
6
Want your team to take advantage of the EnView Motor Tool??
All you need to do is to follow these simple steps:
 Send us an email on bd@eetpl.in expressing your interest to use the EnView Motor Tool.
 We will send you a link to a short survey.
 Your team needs to fill that survey and submit it to us.
 We will provide you access to the EnView Motor Tool for 3 Months!
The E-Cube Advantage:-
EnView, Centralised Energy Information Management
System
Inclusion of normalization factors is an important step and also lays down quite
significant importance on data analytics. Data aggregation is an important aspect
to be considered prior to Data Analytics, of course if there are no data set points,
no analysis can be done.
Through EnView we are encouraging industries to manage their energy and
production information on a daily basis.EnView a cloud based energy information
management and analytics portal developed by E-Cube Energy, which provides
user access to processed data which can directly be used to analyse energy
performance indicators (Key Performance Parameters “KPPs”)
Inclusion of
normalization factors is
an important step. But
the real question is How
to adjust SEC/Energy
on account of these
factors?
Over 14 Textile units are currently using EnView. By June 2015, they would access
to over 500 data set points for Normalization Factor Development, besides
taking advantage of the other benefits as listed below.
KPP Based
Analysis
Alerts on
deviation in
KPP
Customised
Reporting
Offiste
Analytics
Support
Performance
Assessment
Tools
Features of EnView
Ask | Innovate | Reduce

7. ENVOGUE | ENERGY TRENDING | Issue1
The India Story! -
7
Importance of “Data” in the context of Energy Scenario in India
“Big Data” has been making a lot of buzz off late, what really is the fuss about it? Can it really change the way businesses/processes
run?
McKinsey believes that “Big Data” is the next frontier for innovation, competition and productivity. Very recently we heard the news
that IBM has unleashed “Big Data” on renewable energy forecasting and smart grid management! There are a host of companies and
organisations that believe that “Big Data” is the next BIG Thing!!
E-Cube Energy has been working with almost 20 industries (across sectors like Iron & Steel, Cement, Power and Textiles) in helping cut
down on their energy costs/consumption, there is one thing that we noticed that almost of all of the small to medium scale industries
do not take “Data” driven decisions (investing in energy efficiency), which essentially means that important investment decisions are
being taken based on some “bias” and not “facts”.
That is where we realised that if processed data whether big or small, is
available to small to medium scale industries, which could potentially
enable them to make a lot of important decisions based on facts, thereby
fostering innovation, smart thinking, competition and productivity!
Benefits of Data Analytics for Industry!
Type of information
Advantage
Impact of product mix on energy consumption
Assistance in budgeting and planning.
Impact of raw material mix on energy consumption
Assistance in budgeting and planning.
Energy forecasting models for normalization.
Assistance in Energy Accounting, Data submission to
Government Authorities, Costing
Impact of weather conditions on energy consumption
Assistance in Energy Accounting, Data submission to
Government Authorities, Costing
Specific Energy Consumption Vs Capacity Utilization
Assistance in Energy Accounting, Data submission to
Government Authorities
Operational Efficiency Index
Demand & Supply Side Management, Data driven decision
for technology up gradation, resource optimization for
setting up a similar unit
Energy Consumption Benchmarking
An internal energy consumption benchmarking/index can be
created for performance management and assessment.
Prioritizing Energy Efficiency Investment decisions
Investments on energy efficiency measures can be
prioritized, planned and made more effective.
Ask | Innovate | Reduce

8. ENVOGUE | ENERGY TRENDING | Issue1
Food for thought! :-
8
Why should PAT Scheme be made bigger?
Globally, its been widely acknowledged that “market driven mechanisms”
are best suited to fight climate change and encourage both public and
private sector participation. PAT Scheme in India was launched as a part
of India’s strategy to fight climate change and also to showcase
seriousness towards negotiating a strong climate deal.
Its not just the Government of India that has high stakes in the PAT
Scheme, it’s the Designated Consumers as well. While most believe that
this sheme comes as a “burden”, but there are some who belive this is the
“opportunity” they were waiting for. Its true that PAT Scheme is an
amazing opportunity to take Energy Efficiency from “Boiler Room to
Board Room”, increase investments in R&D that fosters energy efficiency
at plant level and in Data Analytics.
All this will take energy efficiency to a whole new level, we at E-Cube
Energy call that Energy Efficiency Version 3.0!
Four Ways to make PAT Scheme Bigger &
Better
Widen the market size within the existing eight sectors.
Lower the threshold energy value; bring in more
number of units under the ambit of the PAT
Scheme.
Bring in other sectors like Sugar, Automobile, Telecom,
Data centre’s etc
Delink off Grid Renewable Energy and Energy Efficiency.
Provide some incentives for investments in off
Grid Renewable Energy Projects, but that still
has to be consumed efficiently.
Provide Road Map and Targets for next 3-4 cycles, it helps
in creating long term value for all stakeholders.
Just like the EU ETS!
“Market transformation is the single biggest advantage of PAT scheme. It is not just a
State issue. Focus is on all stakeholders.”
BEFORE PAT SCHEME
AFTER PAT SCHEME
Vendor Driven
Decision Making
Process
Focus on Products
and not "Process"
Data Driven
Decision Making
Process
Focus on "Process"
and "Energy
Optimization"
Less focus on M&V
ZERO focus on
Data Analytics
High focus on M&V
Investment in Data
Analytics
Energy Efficiency
merely a
"National" subject
Energy Efficiency
becomes both
"Private" and
"National" subject
E-Cube Energy Trading Pvt Ltd
9, Old China Bazaar Street, 6th Floor, Room No 90
Kolkata- 700 001,West Bengal
+91 33 6509 0005
bd@eetpl.in | www.en-view.com | www.eetpl.in
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