energy efficiency version 3.0

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

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

About EETPL

• EETPL is an emerging player in the Energy Efficiency domain, working with energy intensiveindustries 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 ofEngineers, 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 likeIron & Steel, Textiles, Tea Gardens and Power Plants.

• This year alone we have conducted over 20 audits, identified energy saving potential of over7000 MTOE.

• Developed first of its kind web based Energy Information Management & Analytics Portal.

Clients

Energy Efficiency in India-

History

Source: AEEE EE Book

EE Version 1.0 EE Version 2.0

Gaps in Energy Efficiency

Strategy

Monitoring

&

Verification

Energy Information Management

Cost and Reach of Energy Services

Data AnalyticsVendor/ Product Driven Decision

making

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

Data Analytics-

What 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

Data Analytics-

How can it transform EE Markets

Enables Data Driven Decision making process

Development of normalization factors

Facilitates Demand and Supply side initiatives.

EnPI based performance assessment

Trend Analysis, foster R&D at plant level

Case Study-

Normalization (PAT Scheme)

16% Decrease in GTG SEC

After normalization for Power Mix GTG SEC shows a decrease of

9%

Statistical analysis on product mix change indicates a decrease in GTG SEC of 11%

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%

Actual Change in SEC= -A +B – C –D

+0.5%

A B

CD

Case Study-

Electric Motor DSM Programme

Audited over 2000 Motors

Performance Assessment of key

parameters in respect to rated parameters

Assessment of demand/load variation owing to production

process

Established saving potential of over 2.5

Million kWh

>60% of the savings from DSM and

retrofitting

~20% of the savings envisaged through

assessment of KPIs based on historical

data

Thank You!

umesh@eetpl.in | +91 98310 12510