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